This presentation will help you understand how to think about emerging technologies for your Business. You receive context and a simple framework for how to think about RPA as an enabler to transform your customer experience and business operations.
This document provides an overview of robotic process automation (RPA). It defines RPA as using software robots to automate repetitive tasks previously done by humans. The document discusses the evolution and benefits of RPA, including improved efficiency, cost savings, and employee productivity. It also outlines common RPA applications, implementation steps, top vendors, and considerations for C-level executives when adopting an RPA strategy. The market for RPA is expected to reach $5 billion by 2024 due to increased adoption by organizations seeking to enhance capabilities and reduce costs through automation.
Introduction to Robotic Process Automation (rpa) and RPA Case StudyALTEN Calsoft Labs
This PPT on "What is Robotic Process Automation (RPA)" will give you an introduction to RPA. Below are the topics covered:
What is RPA?
Challenges in RPA?
RPA Key Benefits
RPA Process
RPA Case Studies
Alten Calsoft Labs has technical expertise in Blue Prism, Automation Anywhere, UIPath and WorkFusion to implement RPA solutions in a shorter duration at a lower cost. ROI can be realized in a span of 3-6 months after rolling out RPA solutions.
For any queries related to RPA write to us at [email protected]
The document provides information about robotic process automation (RPA), including:
1) An endorsement of RPA training from Nextspace that helped someone start a career in robotics.
2) An overview of RPA, the benefits it provides, common implementation mistakes to avoid, and a recommended multi-step journey for a successful RPA implementation.
3) Details on each step of the RPA implementation journey - from initial proof of concept, to piloting a process, ramping up automation, and ultimately institutionalizing RPA.
This was my College presentation ppt file in which subject was Robotic Process Automation, focuses mainly on what is rpa, evolution, why rpa is used, benifits from both perspective, applications of rpa, and much more.
This document provides an introduction to robotic process automation (RPA). It defines RPA as using software robots to mimic human actions in order to automate repetitive and rule-based processes across applications and systems. The document discusses the benefits of RPA, such as increased productivity, cost savings, and reduced errors. It also addresses some common myths about RPA capabilities. Finally, it provides overviews of the RPA lifecycle, implementation process, potential applications of RPA in different industries, and the features of the RPA tool UiPath.
Selecting the right process for robotic process automation (rpa)NUS-ISS
by Mr Liu Siyong General Manager, CFB Bots Pte Ltd for the NUS-ISS SkillsFuture Series Seminar: Harnessing the power of Intelligent Software Agents (9 April 2019)
RPA (Robotic Process Automation) uses software robots to automate repetitive tasks across various business processes and applications. It mimics how humans execute tasks, allowing business users to configure the robots through a user-friendly interface while being governed by IT. RPA can streamline processes, reduce costs, improve quality and accuracy, and allow organizations to respond more quickly through automated execution of tasks 24/7. When selecting processes for RPA, it is important to identify rule-based processes involving structured data and exceptions that don't require human judgment. RPA tools can automate a wide range of applications and systems both with and without a user interface.
An introduction to RPA covering and introduction to the topic some key concepts and providers.
(Please request access if you would like to use any of the content presented on these slides)
This document provides an overview and introduction to robotic process automation (RPA). It defines RPA as using software "robots" to capture and interpret existing applications in order to automate transactions, manipulate data, and communicate between systems. The key benefits of RPA include cost savings, improved accuracy, scalability, and increased efficiency. The document discusses the RPA landscape and some of the major RPA tools on the market, including UiPath, Blue Prism, and Automation Anywhere.
This document discusses robotic process automation (RPA) and its role in digital operations. It defines RPA as software that mimics human actions for repetitive tasks. RPA is described as the first step in digital transformation, laying the foundation for more advanced technologies like artificial intelligence. The document outlines the benefits of RPA, such as increased productivity, accuracy, and cost savings. It provides examples of finance, IT, and supply chain processes that are well-suited for RPA. Finally, it shares a case study where RPA helped a client automate labor-intensive back office functions and realize substantial cost reductions.
Take this opportunity to learn more about how Robotic Process Automation (RPA) play a role with your ERP. Learn more about the use of RPA for ERP-driven processes and how they can help organizations like yours make routine, time-consuming tasks less expensive and less labor-intensive.
Presented by Lewis Hopkins, Senior Technology Specialist, Smart ERP Solutions, discusses current automation trends and challenges along with providing insight on how the automation technology can have a significant impact on your organization. This webinar will included a demonstration of how bots can assist organizations with better workflows and enhanced customer service.
3 Amazing Examples of Real-life RPA Use Cases - SignityMegha V
As you may know by now, thinking over RPA use cases is our favorite solution for holding on to the positive facts about automation, while not getting carried away by the insights drawn from a whole plethora of positive statistical data. This time, we’ll be pondering some robotic process automation use cases in Customer Service, Finance, and Human Resources.
Robotic process automation brings out a lot of benefits in different industry niche as it supports high-frequency manual, repetitive, rules-based processes, which are critical for an appropriate service. So, here are some of the real-world RPA use case examples that are being leveraged by the industry leaders.
Robotic Process Automation
Over the last few years, RPA (robotic process automation) has quickly become a transformative force across many industries. RPA uses software robots to manipulate and communicate with business systems and applications, streamlining processes and reducing the burden on human employees.
Introduction To UiPath | RPA Tutorial For Beginners | RPA Training using Uipa...Edureka!
***** RPA Training using UiPath: https://www.edureka.co/robotic-process-automation-training *****
This Edureka tutorial on Introduction to UiPath will give you the fundamental knowledge about the most popular RPA tool - UiPath. Below are the topics covered in this tutorial:
1. What is RPA
2. RPA Tools
3. Introduction to UiPath
4. How to Install UiPath
5. UiPath Project Types
6. UiPath Components.
7. UiPath Demo
What is robotic process automation - a guide to RPADaniele Fittabile
Robotic process automation (RPA) uses software robots, or agents, to automate repetitive tasks across applications and systems. RPA began by manipulating user interfaces like a human but now provides deeper integrations and enterprise features. RPA improves both individual and team productivity and can power digital transformation when implemented at scale across an organization. To maximize ROI, RPA requires centralized management, security, analytics and the ability to easily expand the digital workforce over time.
RPA (Robotic Process Automation) uses software robots to automate routine business processes. It aims to improve productivity by automating tasks through software that can interact with applications like a browser and cloud services. RPA is classified into three levels from basic robotic automation to more advanced cognitive automation using machine learning. RPA provides benefits like reduced costs, improved accuracy and quality by replacing human errors. Common processes automated with RPA include data registration, checking, compilation and system linkages. UiPath is a leading RPA platform that provides components and features to build, manage and monitor automated processes across an organization.
We can leverage a combination of open source tools that are enterprise ready. We can also utilize the capabilities provided by technologies like ML and AI along with RPA tools to create smarter bots for you to make informed decisions.
Are you still unaware of the technology that is about to change the future of your business? Here's a detailed introduction to Robotic Process Automation, its tools and the advantages that you will reap from RPA implementation.
https://www.botreetechnologies.com/robotic-process-automation
Read Also - How is Robotic Process Automation Different from Robotics? -
http://www.roboticprocessautomation.co.in/how-is-robotic-process-automation-different-from-robotics/
Creating the Digital Workforce with Robotic Process Automation Technology -
http://www.roboticprocessautomation.co.in/creating-the-digital-workforce-with-robotic-process-automation-technology/
Robotic process automation (RPA) uses AI and machine learning to automate high-volume, repetitive tasks across various industries like banking, HR, healthcare, insurance, utilities, legal, business process outsourcing, government, and manufacturing. RPA software allows robots to perform tasks like logging into applications, copying and pasting data, processing files and emails, reading and writing databases, and extracting information from documents. RPA provides benefits like increased productivity without breaks or holidays but does require change management and handling of unstructured data. Common RPA tools include Automation Anywhere, Blue Prism, UiPath, and OpenSpan.
Robotic Process Automation is the technology that allows anyone today to configure computer software, or a “robot” to emulate and integrate the actions of a human interacting within digital systems to execute a business process. RPA robots utilize the user interface to capture data and manipulate applications just like humans do. They interpret, trigger responses and communicate with other systems in order to perform on a vast variety of repetitive tasks. Only substantially better: an RPA software robot never sleeps, makes zero mistakes and costs a lot less than an employee.
Robotic process automation (RPA) uses software to automate repetitive tasks across various business processes like order to cash, procurement, HR, and finance that previously required human effort. RPA tools like UIPath allow process automation through recording user interfaces without extensive programming. Implementing RPA involves selecting processes for automation, choosing an RPA tool, creating bots to handle tasks, executing the bots, and maintaining them. RPA can reduce costs, increase productivity, and provide a scalable digital workforce for business operations.
RPA, or robotic process automation, uses software "robots" to automate repetitive tasks. It can increase productivity by allowing bots to work continuously without breaks. RPA also improves accuracy by eliminating human errors and increasing production. Examples of how RPA can be used include automating social media status updates, consolidating data from multiple reports into a single application, and entering loan data into systems in the financial services industry.
RPA Tutorial for Beginners | RPA Training Using UiPath | UiPath Training Onli...Edureka!
This document outlines an agenda for an RPA training session using UiPath. It discusses why RPA is needed, describing scenarios where RPA can automate tasks like fraud detection and data entry. It defines RPA as using robots or software agents to mimic human actions when performing repetitive tasks. The document lists benefits of RPA like cost savings and accuracy. It provides examples of companies using RPA and common RPA use cases in industries like healthcare and finance. Finally, it describes hands-on exercises for the training, including retrieving stock market data.
Achieving Business Transformation with UiPath RPACelonis
UiPath delivers the most advanced Enterprise RPA Platform, built for business and IT. As you strive to benefit from the opportunities of the “Automation First” era, your digital transformation can be accelerated here. And UiPath RPA is constantly adding new AI skills that can be applied to more complex use cases. Join Christian Berg, Director of AI Product Management, and Bella Liu, AI Partnership Lead to learn how UiPath RPA is enabling robots to address process automation end to end with new AI skills powered by Celonis.
Presenters:
Bella Liu, AI Partnership Lead, UiPath
Christian Berg, Director of AI Product Management, UiPath
An introduction to RPA covering and introduction to the topic some key concepts and providers.
(Please request access if you would like to use any of the content presented on these slides)
This document provides an overview and introduction to robotic process automation (RPA). It defines RPA as using software "robots" to capture and interpret existing applications in order to automate transactions, manipulate data, and communicate between systems. The key benefits of RPA include cost savings, improved accuracy, scalability, and increased efficiency. The document discusses the RPA landscape and some of the major RPA tools on the market, including UiPath, Blue Prism, and Automation Anywhere.
This document discusses robotic process automation (RPA) and its role in digital operations. It defines RPA as software that mimics human actions for repetitive tasks. RPA is described as the first step in digital transformation, laying the foundation for more advanced technologies like artificial intelligence. The document outlines the benefits of RPA, such as increased productivity, accuracy, and cost savings. It provides examples of finance, IT, and supply chain processes that are well-suited for RPA. Finally, it shares a case study where RPA helped a client automate labor-intensive back office functions and realize substantial cost reductions.
Take this opportunity to learn more about how Robotic Process Automation (RPA) play a role with your ERP. Learn more about the use of RPA for ERP-driven processes and how they can help organizations like yours make routine, time-consuming tasks less expensive and less labor-intensive.
Presented by Lewis Hopkins, Senior Technology Specialist, Smart ERP Solutions, discusses current automation trends and challenges along with providing insight on how the automation technology can have a significant impact on your organization. This webinar will included a demonstration of how bots can assist organizations with better workflows and enhanced customer service.
3 Amazing Examples of Real-life RPA Use Cases - SignityMegha V
As you may know by now, thinking over RPA use cases is our favorite solution for holding on to the positive facts about automation, while not getting carried away by the insights drawn from a whole plethora of positive statistical data. This time, we’ll be pondering some robotic process automation use cases in Customer Service, Finance, and Human Resources.
Robotic process automation brings out a lot of benefits in different industry niche as it supports high-frequency manual, repetitive, rules-based processes, which are critical for an appropriate service. So, here are some of the real-world RPA use case examples that are being leveraged by the industry leaders.
Robotic Process Automation
Over the last few years, RPA (robotic process automation) has quickly become a transformative force across many industries. RPA uses software robots to manipulate and communicate with business systems and applications, streamlining processes and reducing the burden on human employees.
Introduction To UiPath | RPA Tutorial For Beginners | RPA Training using Uipa...Edureka!
***** RPA Training using UiPath: https://www.edureka.co/robotic-process-automation-training *****
This Edureka tutorial on Introduction to UiPath will give you the fundamental knowledge about the most popular RPA tool - UiPath. Below are the topics covered in this tutorial:
1. What is RPA
2. RPA Tools
3. Introduction to UiPath
4. How to Install UiPath
5. UiPath Project Types
6. UiPath Components.
7. UiPath Demo
What is robotic process automation - a guide to RPADaniele Fittabile
Robotic process automation (RPA) uses software robots, or agents, to automate repetitive tasks across applications and systems. RPA began by manipulating user interfaces like a human but now provides deeper integrations and enterprise features. RPA improves both individual and team productivity and can power digital transformation when implemented at scale across an organization. To maximize ROI, RPA requires centralized management, security, analytics and the ability to easily expand the digital workforce over time.
RPA (Robotic Process Automation) uses software robots to automate routine business processes. It aims to improve productivity by automating tasks through software that can interact with applications like a browser and cloud services. RPA is classified into three levels from basic robotic automation to more advanced cognitive automation using machine learning. RPA provides benefits like reduced costs, improved accuracy and quality by replacing human errors. Common processes automated with RPA include data registration, checking, compilation and system linkages. UiPath is a leading RPA platform that provides components and features to build, manage and monitor automated processes across an organization.
We can leverage a combination of open source tools that are enterprise ready. We can also utilize the capabilities provided by technologies like ML and AI along with RPA tools to create smarter bots for you to make informed decisions.
Are you still unaware of the technology that is about to change the future of your business? Here's a detailed introduction to Robotic Process Automation, its tools and the advantages that you will reap from RPA implementation.
https://www.botreetechnologies.com/robotic-process-automation
Read Also - How is Robotic Process Automation Different from Robotics? -
http://www.roboticprocessautomation.co.in/how-is-robotic-process-automation-different-from-robotics/
Creating the Digital Workforce with Robotic Process Automation Technology -
http://www.roboticprocessautomation.co.in/creating-the-digital-workforce-with-robotic-process-automation-technology/
Robotic process automation (RPA) uses AI and machine learning to automate high-volume, repetitive tasks across various industries like banking, HR, healthcare, insurance, utilities, legal, business process outsourcing, government, and manufacturing. RPA software allows robots to perform tasks like logging into applications, copying and pasting data, processing files and emails, reading and writing databases, and extracting information from documents. RPA provides benefits like increased productivity without breaks or holidays but does require change management and handling of unstructured data. Common RPA tools include Automation Anywhere, Blue Prism, UiPath, and OpenSpan.
Robotic Process Automation is the technology that allows anyone today to configure computer software, or a “robot” to emulate and integrate the actions of a human interacting within digital systems to execute a business process. RPA robots utilize the user interface to capture data and manipulate applications just like humans do. They interpret, trigger responses and communicate with other systems in order to perform on a vast variety of repetitive tasks. Only substantially better: an RPA software robot never sleeps, makes zero mistakes and costs a lot less than an employee.
Robotic process automation (RPA) uses software to automate repetitive tasks across various business processes like order to cash, procurement, HR, and finance that previously required human effort. RPA tools like UIPath allow process automation through recording user interfaces without extensive programming. Implementing RPA involves selecting processes for automation, choosing an RPA tool, creating bots to handle tasks, executing the bots, and maintaining them. RPA can reduce costs, increase productivity, and provide a scalable digital workforce for business operations.
RPA, or robotic process automation, uses software "robots" to automate repetitive tasks. It can increase productivity by allowing bots to work continuously without breaks. RPA also improves accuracy by eliminating human errors and increasing production. Examples of how RPA can be used include automating social media status updates, consolidating data from multiple reports into a single application, and entering loan data into systems in the financial services industry.
RPA Tutorial for Beginners | RPA Training Using UiPath | UiPath Training Onli...Edureka!
This document outlines an agenda for an RPA training session using UiPath. It discusses why RPA is needed, describing scenarios where RPA can automate tasks like fraud detection and data entry. It defines RPA as using robots or software agents to mimic human actions when performing repetitive tasks. The document lists benefits of RPA like cost savings and accuracy. It provides examples of companies using RPA and common RPA use cases in industries like healthcare and finance. Finally, it describes hands-on exercises for the training, including retrieving stock market data.
Achieving Business Transformation with UiPath RPACelonis
UiPath delivers the most advanced Enterprise RPA Platform, built for business and IT. As you strive to benefit from the opportunities of the “Automation First” era, your digital transformation can be accelerated here. And UiPath RPA is constantly adding new AI skills that can be applied to more complex use cases. Join Christian Berg, Director of AI Product Management, and Bella Liu, AI Partnership Lead to learn how UiPath RPA is enabling robots to address process automation end to end with new AI skills powered by Celonis.
Presenters:
Bella Liu, AI Partnership Lead, UiPath
Christian Berg, Director of AI Product Management, UiPath
HfS Webinar Slides: Standard Bank Case Discussion - Improving Customer Experi...HfS Research
This webinar replay shares how Standard Bank transformed its onboarding process by deploying Smart Process Automation. Standard Bank’s insights will enable organizations to clearly make the case for Automation as part of their service delivery strategies.
Learn from practitioners and experts on Smart Process Automation from HfS Research, WorkFusion and Standard Bank as they share their experiences about improving business outcomes through more integrated automation technologies.
Watch this replay and learn:
How did Standard Bank approach the automation of key processes—how did the deployment work and what were the results?
What can you learn from a leading service buyer about the future of Smart Automation?
How do Cognitive Computing and Machine Learning enhance the quality and agility of service delivery?
What is the impact of Smart Automation? What are the main use cases and insights?
Watch the webinar replay: http://www.hfsresearch.com/pointsofview/hfs-webinar-standard-bank-case-discussion-improving-customer-experience-through-rpa-ai-powered
RPA and AI impact on Banking - 4th Annual Back Office Operations Forum, ViennaUiPath
There is no doubt the universe of artificial intelligence extends far beyond the world of robotic process automation. AI is actually an umbrella covering a broad set of methods, algorithms and technologies that make software ‘smart’. Machine learning, computer vision, natural language processing, robotics and related topics are all part of AI. They collectively form a subset of AI broadly termed ‘cognitive technologies’.
This document is a curriculum vitae for Deepa Gupta Bakshi that outlines her personal and educational details, skills, experience, job description, career history, and achievements. She has over 7 years of experience as a French translator for EPC companies working in Africa. She is currently working as a French translator for Mohan Group providing translation of technical documents such as tenders, contracts, and manuals from English to French and vice versa.
UiPath: Insurance in the Age of Intelligent AutomationUiPath
This paper will explain what benefits Robotic Process Automation (RPA) brings to the Insurance industry, how
it tackles the most sensitive pain points and offers guidelines on
building a successful RPA capability.
Real uses cases will illustrate how other companies developed their RPA deployments. You will also find out what’s in store
for intelligent process automation (IPA), as AI and cognitive tools merge with RPA.
Finally, the paper will demonstrate that insurers must catch the RPA train before it is too late if they want to stay relevant in an ever so challenging and rapidly evolving market.
A service provider wanted to build out its AI and RPA practices. Zinnov analyzed Forbes 500 companies to identify popular use cases and target industries. They also studied top vendors to identify best practices. Zinnov provided a comprehensive go-to-market strategy and began implementing partnerships.
A telecom provider wanted to expand in India's SMB cloud market. Zinnov estimated the market size and opportunity. They analyzed SMB consumption patterns and competitors' approaches. Zinnov provided an expansion strategy focused on products and target geographies.
A software company wanted to target Indian SMBs. Zinnov estimated the addressable market and identified gaps in their strategy. They recommended geos, products, partnerships and positioning to target
The document discusses the current state and future of the Internet of Things (IoT). It notes that IoT allows devices to connect not just to the internet but also seamlessly to each other. It also discusses that high prices are currently a deterrent to consumer adoption of IoT products. Major players in IoT like Apple, Google, Samsung and Amazon are working to advance IoT technologies and make them more useful. The future of IoT is predicted to have a major impact on user experience design and businesses.
Monetizing the iot by Sandhiprakash Bhide generic-01-24-2017sandhibhide
The document discusses opportunities for monetizing the Internet of Things (IoT). It begins by outlining the huge size of the IoT market and key growth areas such as industry, cities, healthcare, and retail. It then examines the IoT value chain and various business models for monetization, including hardware premiums, ecosystem building, data revenue, and service revenue from subscriptions and pay-per-use models. Challenges to monetization include the need for critical masses of connected devices and open APIs. Potential areas for mergers and acquisitions include analytics companies being acquired by systems integrators to gain efficiencies in solving customer problems.
In part two of our RPA webinar series Eric Liebross, Auxis Senior VP of Back Office Optimization, presents “Diving into RPA”. This presentation focuses on:
• How to effectively identify, evaluate and prioritize the RPA opportunities in your organization?
• Who are the major software vendor providers in the market? How do they compare?
• What are the new skills and capabilities needed to implement and support RPA?
• What are your deployment model options? - internally vs. robotics as a service
• How to embrace your workforce?
We hope you find the highlighted information in this presentation useful for your RPA initiatives.
View the live demo here: https://www.auxis.com/rpa-demo
[Webinar Slides] Robotic Process Automation 101 What is it? What can it mean ...AIIM International
Follow along with these webinar slides for an introductory overview of Robotic Process Automation (RPA) – what it is and what it can do for you.
Want to follow along with the webinar replay? Download it here for free: http://info.aiim.org/robotic-process-automation-101
This document discusses the evolution of machine learning tools and services in the cloud, specifically on Microsoft Azure. It provides examples of machine learning frameworks, runtimes, and packages available over time on Azure including Azure ML (2015) and the Microsoft Cognitive Toolkit (CNTK) (2015). It also mentions the availability of GPU resources on Azure starting in 2016 and limitations to consider for the Azure ML service including restrictions on programming languages and a lack of debugging capabilities.
This document discusses using Microsoft Azure for machine learning with R. It covers reading data from various sources into R like local files, web URLs, Azure Blob storage, and SQL server. It then discusses preprocessing data, feature engineering, training ML models with functions like glm(), and evaluating models with metrics like AUC. It notes challenges of data and ML evolving rapidly and the need to scale. It proposes using Apache Spark on Azure via services like HDInsight and R Server to allow distributed, scalable ML in the cloud with R for enterprises.
This document summarizes the evolution of machine learning tools in the cloud from 2015 to 2017. It describes how in 2015, major cloud providers like Azure, Amazon, and Google launched early machine learning services. From 2015 to 2016, these providers also released popular deep learning frameworks like TensorFlow as open source. During this time period, the providers began offering deep learning models and GPU computing as cloud services. The document argues that these developments have helped democratize artificial intelligence and machine learning.
The document discusses AI and IoT, highlighting several use cases and challenges. It notes that AI and IoT are transforming how people, devices, and data interact across many domains. Specifically, it provides examples of how Philips analyzes 15PB of patient data and how AI can connect disparate IoT data. Additionally, it outlines several common use cases for applying AI to IoT in various industries like manufacturing, energy, healthcare, and more. Finally, it contrasts bare IoT with AIoT, noting that AIoT involves intelligent data processing, self-learning, autonomous decision making that enhances IoT.
This document presents a smart-city implementation reference model. It begins with background on the author and an agenda. It then discusses why an implementation reference model is needed given the complexity of a smart city as a socio-technical system. The reference model applies principles of enterprise architecture, including common capabilities, views across various domains and stakeholders, and a platform-based approach. The goal is to provide best practices and reusable solutions to help cities implement smart technologies and services in a standardized yet flexible manner.
The document summarizes key information from a presentation on smart cities. It discusses:
1) The growing global population and increasing urbanization, highlighting the need for smarter infrastructure and services by 2050.
2) Elements of smart cities, including data collection and communication networks to improve livability, sustainability, and economic opportunities.
3) Steps cities can take to become smarter, such as assembling teams, creating visions and action plans, and implementing in stages with stakeholder engagement.
4) Ways the Smart Cities Council can help cities in their transformations, including readiness programs, workshops, and ongoing support.
The document discusses Robotic Process Automation (RPA). It begins with defining RPA as the application of automation software to carry out repetitive tasks in applications and systems similarly to how a human would. The document then discusses the growth of the RPA market size, key RPA solution providers, the RPA implementation process, and provides an example case study and demo.
The document discusses Robotic Process Automation (RPA) and its applications in finance and accounting. It provides examples of common repetitive tasks in finance and accounting that can be automated using RPA such as accounts receivable processing, accounts payable processing, and invoice processing. The benefits of RPA implementation are also summarized, including improved efficiency, reduced costs, improved data quality, and regulatory compliance. SmartERP's RPA services and platforms that use artificial intelligence to enable automation across business processes are also highlighted.
RPA Solution for Finance Industry | Case Study by WeblineIndia using UiPath T...WeblineIndia
The client, a financial services company, wanted to implement RPA to improve productivity. They realized many processes, like processing purchase orders from emails, were time-consuming and manual. The recommended solution was to use RPA bots to automate repetitive tasks like extracting data from emails and inputting it into systems. This reduced errors, labor costs by 50% equivalent to 30 FTEs, and turnaround time. 40 processes were automated with 20 bots, resulting in 20% average effort reduction per process and high ROI.
DAAS labs has deployed RPA solutions and is official partners with Automation Anywhere and UiPath.
"Imagine the metaphorical robots automating your tedious, mundane and repetitive tasks! That's what Robotic Process Automation or RPA is."
Data & Analytics Services (DAAS Labs) is a Data & Innovation company which is transforming the way the data is acquired, curated, and consumed across enterprises.
Our key Mantra is to simplify and transform the way the decisions are made in an enterprise. We work hard so as to make lives simpler for our end clients. Our focus is to eliminate any complexities, automate monotonous activities and deliver a data architecture which enables our end users to talk, interact and make sense of the data without worrying about the data complexities and inconsistencies.
Over the past few years, we have built deep expertise in areas such as Artificial Intelligence (AI/ML), Natural Language, Computer, IoT, Data Analytics and RPA. “Getting it Done” attitude and the convergence of all these capabilities to solve a use case differentiate us from the competition.
We have worked with leading companies in sectors like
• Manufacturing
• e-commerce
• Banking & Payments
• Retail & Power
• media and Advertising
We have worked in areas like Chatbots, building control towers, Process automations, Social listening, semantic search, Predictive modelling, reporting and Dash-boarding.
Our core capabilities lie in Data Analytics, computer vision and Video AI, RPA, Natural languages or AI and Dev ops. With regard to Covid we have utilised our inherent capabilities in Video AI and computer vision along with Artificial Intelligence.
Demystifying Automation - A Catalyst to Digital Transformation A Whitepaper ...Arvind Bhardwaj [AB]
The document discusses how automation, including IT process automation (ITPA), business process management (BPM), digital process automation (DPA), and robotic process automation (RPA), can catalyze digital transformation. It explains that these tools help organizations become more agile and efficient by automating routine tasks. When combined together effectively with a focus on the customer experience, automation can drive significant business impacts and transformation. However, digital transformation requires fundamentally rethinking business models and strategies, not just using new technologies to do existing work faster.
Robotic Process Automation for Financial ServicesAppian
Robotic Process Automation (RPA) is emerging as a cost-effective technique to get work done in Financial Services Institutions (FSIs).
With the advent of RPA, executives should reconsider how they manage organizational business processes and support information technology.
Learn more about robotic process automation and the transformation continuum in this executive perspective: http://ap.pn/2jYWrMG
Propelling RPA Beyond The Routine - Techwave.pdfAnil
Though organizations tend to deliver end-to-end automation beyond RPA by combining complementary technologies to augment business processes, there is a lack of guidance to assemble RPA with other tools. This hinders end-to-end process automation, causing these organizations to miss out on strategic business values.
Rpa ai automation webinar by new, cfgi, ui path 11 82018Bob Fitzpatrick
Automation…RPA…AI…Bots… are currently the hottest words across the various industries. So what do they mean and how to leverage this new technology? Join us as we explore starting an automation journey and leveraging automation in finance led by Sebastian, Bob, Andres, and Daniel. Our special guest is Boris Krumrey, UiPath’s Chief Robotics Officer, who will share with us the exciting landscape of automation and where it is heading.
From Full Form to Applications A Comprehensive Guide to RPA’s Benefits and De...Calidad Infotech
Explore the benefits of RPA and ensure success with top-notch RPA testing service. Elevate your business with robotic process automation testing. Learn more!
RPA is altering the business landscape with the emerging market dynamics(1)Sun Technologies
RPA is altering the business landscape with emerging market dynamics. Adopting RPA provides benefits like sticking to protocols to identify isolated or malfunctioning data, ensuring data uniformity and structure, and making data more accessible. Businesses using RPA and analytics will be ahead of competition in areas like improvement, performance, operations, expenses, and customer loyalty.
Business Benefits of Robotic Process AutomationZaranTech LLC
1. Robotic process automation (RPA) provides numerous business benefits including increased productivity, reduced costs, improved data quality, and better customer experiences.
2. RPA automates repetitive tasks, allowing employees to focus on higher value work. This improves business results and reduces risks from human errors.
3. RPA implementation also benefits compliance through an automated, transparent audit trail and reduced fraud risks. Overall, RPA is a scalable solution that enhances business processes.
Олена Вірун “Robotics process automation: How we can change the customers bus...Dakiry
The document discusses robotic process automation (RPA) and the role of business analysts in automation projects. It provides background on RPA, including that it uses software "robots" to automate repetitive tasks currently performed by humans. The document outlines how BAs can identify good candidates for automation by looking for routine, repetitive tasks and processes that involve copying/pasting between systems. It also discusses how BAs can evaluate automation opportunities by calculating potential cost savings from reduced errors, labor costs, and increased productivity. The document advises BAs to demonstrate automation benefits to clients through presentations, proofs of concept, and return on investment calculations to help gain approval for new RPA projects.
RPA is a business process automation solution that uses software "robots" to automate repetitive tasks, improving speed, accuracy, and freeing up employees to focus on more strategic work. The document discusses how RPA can read emails and documents, extract and validate data, generate reports, and connect different systems without complex integration. It provides examples of how RPA has helped businesses in various industries automate accounting, data migration, customer billing, and other processes, reducing costs, errors and turnaround times while improving compliance. The company Signity Solutions offers RPA consulting, development, implementation and management services to help organizations adopt this technology.
In today's dynamic digital realm, businesses pursue efficiency through Robotic Process Automation (RPA) software solutions. This presentation explores RPA's emergence as a transformative technology, elucidating its functionality and profound influence on diverse industries, offering insights into streamlining operations, enhancing productivity, and cost reduction.
This document discusses robotic process automation (RPA) and its role in digital operations. It begins by explaining that RPA involves software that mimics human tasks for repetitive processes. RPA is described as the first step in digital transformation, laying the foundation for more advanced cognitive technologies. The document then outlines the benefits of RPA, such as increased productivity, accuracy, and cost savings. It provides examples of finance and accounting processes that are well-suited for RPA. Finally, it shares a case study where RPA helped a client automate labor-intensive back office tasks, reducing costs by 51% and improving processes.
In the webinar, Eric Liebross, Auxis Senior VP of Back Office Optimization, provides insights into some of the truths and myths of Robotic Process Automation (RPA), some of the significant benefits it can provide, demonstrated a real-world live demo, and more.
We hope you find the highlighted information in this presentation useful for your RPA initiatives.
View the live demo here: https://www.auxis.com/rpa-demo
RPA - Business Continuity & Automation Success StoriesTangentia
In this slide, we have talked about our 4P delivery model that is People, Projects, Platforms & Partners. Also, we have explained how we can automate manual processes effectively using RPA and Digital Workforce.
Tangentia's automation success stories will give you an idea of how we can effectively automate your business processes and the good impact it will have on your business.
Get in touch with us - https://www.tangentia.com/contact-us/
Watch the PPT to learn how intelligent automation enables companies to build remote working capabilities, increase productivity, and optimize the workforce.
Achieving Sustainable Growth in the Digital AgeCprime
Key Learnings:
- Discover strategies for successfully navigating the digital landscape by leveraging innovative tools, methodologies, and data analytics to maintain a competitive edge.
- Learn how aligning resource allocation with iterative product delivery can enhance the visibility of customer value and establish a clear link between expenses and value generation.
- Gain insights into the significance of evaluating non-traditional performance indicators to comprehend the intricate relationships between customer perceived worth, product launch strategies, and financial outcomes for sound business choices.
Mastering an Integrated Atlassian Tooling Ecosystem: Strategies, Success Stor...Cprime
Are you ready to take your Atlassian tooling ecosystem to the next level? Join our panel of renowned Atlassian experts as they dive deep into the strategies, best practices, and real-world success stories that can help you maximize the value of your technology investments, streamline workflows, and drive innovation across your organization.
In this must-attend panel session, our experts will share stories from the trenches, highlighting the challenges, successes, and lessons learned from their extensive experience working with organizations of all sizes and industries. You'll gain valuable insights into the best practices and strategies that have proven successful in maximizing the benefits of Atlassian tooling ecosystems.
Learning Objectives:
- Align tools, processes, and business objectives to mitigate escalating technology costs and boost efficiency
- Leverage automation and best practices in tool selection to enhance operability, collaboration, and productivity
- Develop a comprehensive tech stack strategy that empowers your teams with the visibility to optimize, adapt, and innovate
- Navigate common challenges and pitfalls in implementing and managing an integrated Atlassian tooling ecosystem
By harnessing custom-crafted AI solutions, teams can expect improved efficiency, enhanced creativity, and better alignment with Agile principles. We'll explore how this powerful collection of technologies and solutions turbocharges delivery and enhances developer experience.
Learn more as we introduce a turnkey framework that empowers Agile development and efficiency in the AI era. Cprime’s CodeBoost™ and AgileSME AI solutions offer a groundbreaking approach that delivers a complete framework for development in the AI age.
Improving IT Investment Decisions and Business Outcomes with Integrated Enter...Cprime
Learn how integrating Enterprise Architecture Management capabilities as part of your IT Finance and Agile Planning processes can help you to:
- Calculate TCO across your entire portfolio of applications, infrastructure and labor
- Drive more informed IT investment decisions and reliably measure results
- Improve business outcomes and accelerate your strategic digital journey
Harnessing Atlassian's Power Through Cloud Transformation and AdoptionCprime
Transitioning to Atlassian Cloud unlocks a new realm of possibilities. Organizations that have recently migrated to Cloud report a 47% boost in team collaboration, and a 44% increase in rapid, insight-driven decisions. And, Forrester reports a 20% developer productivity increase and a strategic 50% IT time reallocation to high-value work for organizations moving to a cloud environment.
Our webinar, "Harnessing Atlassian's Power Through Cloud Transformation and Adoption", will guide you through maximizing cloud adoption, and leveraging Cloud-specific AI and analytics. We’ll also Explore cutting-edge tools like Atlas, Compass, and JPD that extend beyond Data Center capabilities, further enhancing the Cloud experience.
Key takeaways:
- How to boost adoption and make the transition as smooth as possible.
- Strategies to harness unique cloud features for shorter time-to-value, and data-driven decision making.
- Insights into exclusive cloud tools that drive innovation and productivity.
- Understanding the enterprise value and IT efficiency gains from cloud transformation and adoption.
AI-powered Service Management: Streamlining Incident Management in JSM using ...Cprime
Sound incident management operations encompass activities ranging from logging and prioritization to escalation, documentation, and reporting. What could your employees do with all that extra time if you automated these operations with AI?
In this webinar, we will showcase:
- How to streamline incident management and post-incident reviews by harnessing no-touch resolution and triage with 3rd party tools like Atlassian Jira Service Management
- How to use incident management to improve your customer’s experience while incorporating an added layer of efficiency with custom AI co-pilots
- How to empower human agents to resolve issues faster and drive continuous improvement and enhanced knowledge management for incident escalations
Enterprise Migration from Data Center to Atlassian Cloud: Start with an Asses...Cprime
Large enterprises have unique needs and complexity when migrating Atlassian tools from Data Center to the Cloud. Whether you’re exploring the Cloud or planning a migration from Data Center, our Atlassian Cloud Migration Impact Assessment identifies migration obstacles and charts the optimal path. With assessment in hand, enterprise leaders can make informed decisions on moving core business platforms to the cloud.
Learn:
- Benefits of Cloud for large orgs and how to evaluate if it’s the right fit
- Factors like integrations, data migration, security, compliance, and performance at scale
- Tools and methods for analyzing complex on-prem environments
Preparation best practices for enterprise infrastructure and applications
- How assessment provides a detailed transition plan and strategy
- Insights needed to minimize disruption and downtime
AI for Everyone: Demystifying Large Language Models (LLMs) Like ChatGPTCprime
We’ve only scratched the surface of realizing the full potential of ChatGPT and other Large Language Models (LLMs) in a strategic business context. Here’s another game-changer: Incorporating your unique enterprise data with LLMs to tailor a private model that learns, retains, and utilizes your business’s unique information. It can deliver contextualized value and efficiency to enhance processes and better achieve strategic outcomes.
In this webinar, we’ll explore how these custom models are revolutionizing the business landscape with the added context of invaluable proprietary business knowledge. Join us to learn the power and practical applications of secure, private LLMs and catch live demonstrations to tangibly enforce how to tackle significant business challenges such as Agile Adoption and Service Management.
Learning Objectives
- Introduction to AI and LLMs: Understand the basics of Artificial Intelligence (AI) and how widely available Large Language Models (LLMs) are a key advancement in this field.
- Practical Applications of LLMs: Learn how LLMs can enhance operational processes and contribute to business growth in real-world scenarios, and how they can be customized to meet specific business needs.
- Benefits of Customization: Discover the advantages of tailoring AI solutions like LLMs to understand and support unique business requirements.
- Relevance and Precision: Learn how LLMs adapt to specific business contexts, ensuring that interactions are accurate and aligned with organizational objectives.
From Project to Product - The Need for SpeedCprime
As we look to enhance our ways of working and shift from project-based methodologies to product thinking, it's easy to overlook the technical aspects of this change. Let's not make that mistake.
In this webinar, Cprime's Ken Robinson, and Anne, Chief Product Coach, delve into the technical aspects of switching from project to product. What does this mean for our engineers, testers, and product teams? Equally important, what does this mean to the health, resilience, and maneuverability of our codebases and environments?
We'll approach these topics across the following dimensions:
-Development - new product development as well as maintenance and enhancements
-Testing
-Delivery Lifecycle
Lastly, we'll bring it all together to illustrate how engineering for speed + quality and the concept of "total product ownership" reduces time to market, enhances product quality, and fuels maneuverability.
We Need a Hero — How to Find and Support Your Next Superstar Product OwnerCprime
A Product Owner serves as the bridge between the development team and stakeholders, steering the product's vision and driving its success. An excellent product owner can elevate the entire product team. But how do you find the right person to take on this vital role?
Hiring external candidates with Product Owner expertise is an option, but many organizations overlook an often easier and more effective opportunity: to train or develop their internal employees for these crucial roles.
Upskilling your existing product professionals can be the most time- and cost-effective option. Plus, they offer in-depth domain knowledge—specific to your unique organization—no outside hire can match.
By the end of the webinar you will know:
-How to identify existing employees that have the mindset and institutional knowledge to successfully fill the Product Owner role
-How to determine what skills the new Product Owner needs to learn through a focused gap analysis
-How to create an environment that encourages continuous learning so that they can grow into the role and help you and your team deliver great products over time
How to Unlock Productivity and Innovation with Generative AI and ChatGPTCprime
Doing more with less has become the mantra for success. Yet monotonous tasks and manual processes put undue strain on productivity and innovation. What if you could automate time-consuming workflows and enable your team to focus on high-impact work?
Discover how Generative AI (GenAI), specifically ChatGPT, is transforming workflows across industries. We will provide real-world examples of how leading organizations leverage GenAI to eliminate repetitive tasks, deliver insights instantly, and create content intelligently.
You will learn:
- How GenAI, specifically ChatGPT, works and its key capabilities
- High-impact use cases of GenAI-powered automation
- Steps for identifying and prioritizing processes to automate
- Best practices for change management when implementing GenAI
- Forecasted evolution of GenAI and its future applications
Whether you are an executive seeking a competitive edge, or a manager looking to boost team productivity, this webinar will equip you with actionable strategies to drive efficiency and innovation with Generative AI.
Modern Learning for Enterprises: How to Empower Your TeamsCprime
The document discusses modern learning approaches for enterprises. It outlines the evolving learning needs of people and organizations, including access to learning in different styles and times. It also discusses blended learning solutions using various pathways like journeys, games, and on-the-job work. Key takeaways are that people's and organizations' learning needs are changing, and blended learning cultures with continuous learning will be important for organizations to adapt and drive new behaviors.
Enterprise Service Management for Finance, HR, and MarketingCprime
Enterprise Service Management (ESM) is an optimized combination of the right software solution, well-thought-out processes and workflows, and customized automation that effectively supports a customer-centric approach to each service an internal business unit undertakes.
In this three-part webinar series, we will be focusing on those building blocks to provide a well-rounded understanding of ESM and how it can effectively uplevel your internal and external customer service processes.
In Part Three, Putting it All Together: ESM for HR, Finance, Marketing, and More, you will learn:
-How an ESM implementation looks in each of the major business units
-Why ESM can and should permeate the whole organization… eventually
-Examples of successful implementations you can use as models for your own
ESM Webinar Series Part 2 | The Keys to Optimal ESM are Automation and Integr...Cprime
The webinar discussed optimizing enterprise service management (ESM) through automation and integration. It emphasized identifying value streams to understand service delivery end-to-end and ensure optimal collaboration. Automating repetitive tasks and integrating systems can increase efficiency and customer satisfaction by streamlining processes like onboarding, requests, and approvals. Key takeaways included focusing on high-value activities, quantifying service delivery, and coordinating teams through automation and data sharing between tools.
Perfecting Customer Management Using Jira Service ManagementCprime
An optimized ITSM practice using Atlassian Jira Service Management (JSM) has brought tremendous benefits to organizations seeking to cement a customer-centric approach to their service management processes.
In the first two parts of this webinar series, we discussed an introduction to change management, service catalogs, and CMDB, and how they can all be applied and optimized using JSM. In this third installment, we cover the vital topic of customer management. You will learn:
- The importance of understanding the customer's perspective and requirements
- How to best use JSM for customer management—from portal design to automation and beyond
- How to use JSM to empower your Shift Left—an integrated knowledge base, dynamic forms, intelligent queues, and more
- How to measure customer management for reporting and data-driven decision making
From Project to Product: Leaders, Here's What It Means to YouCprime
Project to product is all the rage these days. You, your boss, or your company are already talking about this. Heck, your group has been "agile" for years now, but this next phase seems to just be a repackaging of that.
In this webinar, Anne Steiner, Chief Product Coach at Cprime, gets into Project to Product from the leader's perspective. We explore "why we should care" and "what this really means". Then, we deep dive into the following keys to leadership success in driving this change:
1) Your help, involvement, and willingness to influence change is critical. Team-level change isn't enough and will yield limited benefits.
2) You need more than just engineering/IT buy-in to be successful. It takes the whole enterprise.
3) Product management is a thing. We'll learn what it is, how it is different from project management, and why it is critical to market domination and product success.
Lastly, we'll leave you with some tips for success that will guide you in driving change whether you sit at the manager, director, VP, or C-level.
Using a Service Catalog and CMDB to Standardize Change Management in Jira Ser...Cprime
A streamlined and optimized ITSM practice offers tremendous benefits to your IT teams and your entire organization. But, the vital ITSM practice of change management can still be challenging for many.
In this webinar, we take those ideas a step further by incorporating a service catalog and configuration management database as tools to help standardize the change management process and further minimize disruptions.
When you log off, you’ll understand:
-The role of a Service Catalog in ITSM
-How to create and curate an effective Service Catalog
-How to build and manage a Configuration Management Database (CMDB)
-How to best leverage CMDB for service improvement
6 Common Challenges RTEs Face & How to Solve ThemCprime
Release Train Engineers (RTEs) have tremendous responsibility in a scaled Agile environment. After all Agile Release Trains (ARTs) can’t steer themselves.
But, RTEs also face significant challenges along the way. Learn common challenges RTEs face and how they can be overcome using SAFe® and Agile best practices, best-in-class tooling like Jira Align, and focused effort.
Learn how to solve these problems in your own organization:
- Lack of visibility into the full book of work
- Lack of visibility into how work being done by teams is contributing to strategic goals
- Lack of understanding of how much an ART can deliver over the course of a planning increment
- Visibility into the Risks and Dependencies affecting an ART
- Constant need to create and update roadmaps
- Limited availability and customizability of progress report
Enterprise Service Management Webinar Series Part 1Cprime
Enterprise Service Management (ESM) is an optimized combination of the right software solution, well-thought-out processes and workflows, and customized automation that effectively supports a customer-centric approach to each service an internal business unit undertakes.
In this three-part webinar series, we focus on those building blocks to provide a well-rounded understanding of ESM and how it can effectively uplevel your internal and external customer service processes.
In Part One of this webinar series you will learn:
- The vital importance of cultivating a customer-first mindset
- How to adjust your mindset to view your services as products
- The power of a product/service roadmap
How to Enable Change Management with Jira Service ManagementCprime
Improve your agility by moving towards automation and streamlined processes between your IT and dev teams. ITSM with Jira Service Management (JSM) can help optimize your processes and significantly reduce manual touch points, while change management minimizes risks and disruptions to your IT services.
This is the first part in a series where we cover change management with Jira Service Management in depth. Join our ITIL-certified experts to learn how to manage changes to your software or infrastructure using Jira Service Management so that you accurately understand the impact and scope of changes up and downstream.
Explore:
• How to get started with change management
• A demo of change management features in JSM
• Change management best practices and tips
Learn the Basics of Agile Development: Your Step-by-Step GuideMarcel David
New to Agile? This step-by-step guide is your perfect starting point. "Learn the Basics of Agile Development" simplifies complex concepts, providing you with a clear understanding of how Agile can improve software development and project management. Discover the benefits of iterative work, team collaboration, and flexible planning.
Leading AI Innovation As A Product Manager - Michael JidaelMichael Jidael
Unlike traditional product management, AI product leadership requires new mental models, collaborative approaches, and new measurement frameworks. This presentation breaks down how Product Managers can successfully lead AI Innovation in today's rapidly evolving technology landscape. Drawing from practical experience and industry best practices, I shared frameworks, approaches, and mindset shifts essential for product leaders navigating the unique challenges of AI product development.
In this deck, you'll discover:
- What AI leadership means for product managers
- The fundamental paradigm shift required for AI product development.
- A framework for identifying high-value AI opportunities for your products.
- How to transition from user stories to AI learning loops and hypothesis-driven development.
- The essential AI product management framework for defining, developing, and deploying intelligence.
- Technical and business metrics that matter in AI product development.
- Strategies for effective collaboration with data science and engineering teams.
- Framework for handling AI's probabilistic nature and setting stakeholder expectations.
- A real-world case study demonstrating these principles in action.
- Practical next steps to begin your AI product leadership journey.
This presentation is essential for Product Managers, aspiring PMs, product leaders, innovators, and anyone interested in understanding how to successfully build and manage AI-powered products from idea to impact. The key takeaway is that leading AI products is about creating capabilities (intelligence) that continuously improve and deliver increasing value over time.
This is the keynote of the Into the Box conference, highlighting the release of the BoxLang JVM language, its key enhancements, and its vision for the future.
DevOpsDays Atlanta 2025 - Building 10x Development Organizations.pptxJustin Reock
Building 10x Organizations with Modern Productivity Metrics
10x developers may be a myth, but 10x organizations are very real, as proven by the influential study performed in the 1980s, ‘The Coding War Games.’
Right now, here in early 2025, we seem to be experiencing YAPP (Yet Another Productivity Philosophy), and that philosophy is converging on developer experience. It seems that with every new method we invent for the delivery of products, whether physical or virtual, we reinvent productivity philosophies to go alongside them.
But which of these approaches actually work? DORA? SPACE? DevEx? What should we invest in and create urgency behind today, so that we don’t find ourselves having the same discussion again in a decade?
AI Changes Everything – Talk at Cardiff Metropolitan University, 29th April 2...Alan Dix
Talk at the final event of Data Fusion Dynamics: A Collaborative UK-Saudi Initiative in Cybersecurity and Artificial Intelligence funded by the British Council UK-Saudi Challenge Fund 2024, Cardiff Metropolitan University, 29th April 2025
https://alandix.com/academic/talks/CMet2025-AI-Changes-Everything/
Is AI just another technology, or does it fundamentally change the way we live and think?
Every technology has a direct impact with micro-ethical consequences, some good, some bad. However more profound are the ways in which some technologies reshape the very fabric of society with macro-ethical impacts. The invention of the stirrup revolutionised mounted combat, but as a side effect gave rise to the feudal system, which still shapes politics today. The internal combustion engine offers personal freedom and creates pollution, but has also transformed the nature of urban planning and international trade. When we look at AI the micro-ethical issues, such as bias, are most obvious, but the macro-ethical challenges may be greater.
At a micro-ethical level AI has the potential to deepen social, ethnic and gender bias, issues I have warned about since the early 1990s! It is also being used increasingly on the battlefield. However, it also offers amazing opportunities in health and educations, as the recent Nobel prizes for the developers of AlphaFold illustrate. More radically, the need to encode ethics acts as a mirror to surface essential ethical problems and conflicts.
At the macro-ethical level, by the early 2000s digital technology had already begun to undermine sovereignty (e.g. gambling), market economics (through network effects and emergent monopolies), and the very meaning of money. Modern AI is the child of big data, big computation and ultimately big business, intensifying the inherent tendency of digital technology to concentrate power. AI is already unravelling the fundamentals of the social, political and economic world around us, but this is a world that needs radical reimagining to overcome the global environmental and human challenges that confront us. Our challenge is whether to let the threads fall as they may, or to use them to weave a better future.
"Client Partnership — the Path to Exponential Growth for Companies Sized 50-5...Fwdays
Why the "more leads, more sales" approach is not a silver bullet for a company.
Common symptoms of an ineffective Client Partnership (CP).
Key reasons why CP fails.
Step-by-step roadmap for building this function (processes, roles, metrics).
Business outcomes of CP implementation based on examples of companies sized 50-500.
How Can I use the AI Hype in my Business Context?Daniel Lehner
𝙄𝙨 𝘼𝙄 𝙟𝙪𝙨𝙩 𝙝𝙮𝙥𝙚? 𝙊𝙧 𝙞𝙨 𝙞𝙩 𝙩𝙝𝙚 𝙜𝙖𝙢𝙚 𝙘𝙝𝙖𝙣𝙜𝙚𝙧 𝙮𝙤𝙪𝙧 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙣𝙚𝙚𝙙𝙨?
Everyone’s talking about AI but is anyone really using it to create real value?
Most companies want to leverage AI. Few know 𝗵𝗼𝘄.
✅ What exactly should you ask to find real AI opportunities?
✅ Which AI techniques actually fit your business?
✅ Is your data even ready for AI?
If you’re not sure, you’re not alone. This is a condensed version of the slides I presented at a Linkedin webinar for Tecnovy on 28.04.2025.
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...SOFTTECHHUB
I started my online journey with several hosting services before stumbling upon Ai EngineHost. At first, the idea of paying one fee and getting lifetime access seemed too good to pass up. The platform is built on reliable US-based servers, ensuring your projects run at high speeds and remain safe. Let me take you step by step through its benefits and features as I explain why this hosting solution is a perfect fit for digital entrepreneurs.
Spark is a powerhouse for large datasets, but when it comes to smaller data workloads, its overhead can sometimes slow things down. What if you could achieve high performance and efficiency without the need for Spark?
At S&P Global Commodity Insights, having a complete view of global energy and commodities markets enables customers to make data-driven decisions with confidence and create long-term, sustainable value. 🌍
Explore delta-rs + CDC and how these open-source innovations power lightweight, high-performance data applications beyond Spark! 🚀
Complete Guide to Advanced Logistics Management Software in Riyadh.pdfSoftware Company
Explore the benefits and features of advanced logistics management software for businesses in Riyadh. This guide delves into the latest technologies, from real-time tracking and route optimization to warehouse management and inventory control, helping businesses streamline their logistics operations and reduce costs. Learn how implementing the right software solution can enhance efficiency, improve customer satisfaction, and provide a competitive edge in the growing logistics sector of Riyadh.
"Rebranding for Growth", Anna VelykoivanenkoFwdays
Since there is no single formula for rebranding, this presentation will explore best practices for aligning business strategy and communication to achieve business goals.
2. WE’RE A DIGITAL
TRANSFORMATION AND
TECHNOLOGY
CONSULTING FIRM
ENTERPRISE TECHNOLOGY | DIGITAL SERVICES |
PRODUCT INNOVATION
3. Digital Transformation Across the
EnterpriseEnterprise
Technology
Digital
Innovation
Product
Development
Advisory & Assessments
HR Technology
Business Intelligence
Content & Collaboration
SharePoint Solutions
Digital Strategy
Digital Assessment
UX Prototyping
Intelligent Automation
Product Strategy
Product Design & Experience
Agile Product Development
Mobile Development
Managed Services – Global
Delivery
Customer Care SLA Support & QA Application Management
Digital Transformation for the
Enterprise
4. Agenda
1. Emerging Tech and Industry 4.0
2. What is RPA?
3. Demonstration & Examples
4. What’s on the horizon?
5. Q&A
5. Entrepreneurs Passionate about Business,
Technology and the Customer Experience
Business and technology entrepreneur
Technology strategy and technology leadership
Solution architecture and solution development
Business advisor and board member
• Go-to-market & strategy executive
• Product strategy / product management
• Innovation and growth strategy development
• Strategic planning and roadmap development
• Channel and relationship development
Chad Osgood – Premier Logic CEO
Loren Eckart– Premier Logic CRO
6. 6
INDUSTRY 2.0
Mass Production
Electrical power and
assembly lines.
INDUSTRY 1.0
The Industrial
Revolution
Mechanization, water
and steam power.
INDUSTRY 3.0
Computerization
Automation and
digitalization. Internet
and online.
INDUSTRY 4.0
Digital Transformation
The digital economy, IoT,
cyber and AI. Advanced
robotics and
automation.
FUTUREHISTORY
Enabling Industry 4.0 – where RPA fits
7. AI and RPA Spectrum
• Traditional systems integration with limited
automation through the use of readily
available APIs or custom integrations
Integration
• Automation through the use of tools such as
robotic process automation (RPA), workflow
orchestration or rapid application development
tools with some degree of automation
capability
Automation
• Artificially intelligent solutions, including
cognitive capabilities, pattern recognition,
language processing
Intelligence
10. • They’re digital employees
• Takes the robot out of the human
• Does what humans can do, but
arguably shouldn’t
• Frees up humans to do what only
they can do
RPA is a digital workforce
11. Mainframe ERP SaaSTechnologyCustom
Customers Sales MarketingProcessProducts
Rapidly Changing Business Processes to Compete
Multiple, disparate IT Systems can’t evolve at the speed of business
People
Humans are used to fill the gap between systems and process
Why a Digital Workforce?
Technical Debt
Organizational Debt
12. Human WorkforceDigital Workforce
Your digital workforce
complements and enables your
human workforce
Customers Sales MarketingProcessProducts
Rapidly Changing Business Processes to Compete
Mainframe ERP SaaSTechnologyCustom
Multiple, disparate IT Systems can’t evolve at the speed of business
13. • What your customer experiences
• What your brand represents
• Where disruption occurs
• Where startups compete
• Where your costs are
• Where legacy lives
• What prevents you
from moving faster
• Operations
• Finance
• Business process
management
• IT
• Technical debt
Disruption
Transformation
Customer
Everything Else
Enables back office
transformation
15. The spectrum of RPA tools
SDK / App kits
• Assists in IT with
more turnkey
automation
solutions
Robotic Desktop
Automation (RDA)
• Tactical screen-
level
automations
• Runs on
desktops
Robotic Process
Automation (RPA)
• Governance
• Scalability
• Reusability
• Unattended
execution
Technology
Business
16. Humans Robots
• Works 8 hours a day
• 60% productive on average
• Makes mistakes
• Don’t multi-task well
• Works 24 hours a day
• 100% productive
• Doesn’t make mistakes
• No breaks, no PTO
• Handles general tasks very
well
VS
How to think about RPA
17. 4 x the processing speed
Working 24 / 7 / 365
100% accuracy: no human errors, no
rework
Fully audit-able and compliant
A robot costs 15-20 % of human
Does the work of 3-10 FTEs
Cost reductions from 35-80%
Cheaper
Faster
Better
Core Benefits
18. RPA DEMONSTRATION
• No-code platform
• Non-disruptive to implement
• Business-user friendly
• Self documenting
• Owned by the Business, governed by IT
20. “The research estimates that the total efficiency
improvement achievable through holistic transformation
using RPA can result in 50-75 percent cost reductions
over baseline.”
“About 60 percent of all occupations have at least
30 percent of constituent activities that could be
automated today.” = $7.5 Trillion of costs in rules
based work….adding the deluge of AI innovation we
will see over the coming years and the number gets
much larger.
“Forrester estimates that, by 2021, there will be over 4
million robots doing office and administrative and sales
and related tasks”
McKinsey
The
Hackett
Group
Forrester
RPA is gaining traction in a big
way
21. United Health Group
The Problem
Billions in claims;
$8 million in 8 minutes
• 100+ FTE processing claims
• Claims being lost with human
error
• Cost millions in BPO fees
The RPA Solution
• Automation of revenue cycle
management, top to bottom
• Automate systems integration
• FTE reduction for manual activities
• 100% accuracy rate
• Billions in claims processed
22. The Problem
Accurate financial statements;
Monthly close from 45 days to 5
• 30-45 days to process monthly
financials
• Dozens of FTEs focused on
manual finance activities
• IT initiatives to support were
8,000% over budget
The RPA Solution
• Prototype in 90 days
• From 30-45 days to 5
• Eliminated old technology
assets
Ernst & Young
23. Emerging Healthcare Company
The Problem
Escalating provider onboarding
costs;
$500k+ annual opex to $50k
• Expensive FTEs dedicated to
manual data processing
• ~20% failure rate
• Need for exponential increase
in FTE related to onboarding
new customers
• $500k annual opex associated
with these efforts
The RPA Solution
• Opex from $500k to $50k using
2 robots
• Automation platform for future
scale
Emerging healthcare company
24. Typical uses
Double data
entry
simulates user rekeying of data from one system to another; data entry, copying and
pasting
Rule-based
decision-
making
as long as decision matrices can be documented, then RPA can handle them, making
simple rules-based decisions, based on data or criteria, along the business process and
by exception, sending items for decisions by human workers
Preparation of
reports
e.g. for regulatory authorities; automates the extraction of data to provide accurate and
timely reports
Information
validation
reconciles and cross-references data between different systems to validate and inspect
information and provide compliance and auditing outputs
Straight
through
processing
workflow enabled interactions; automatically enters inputs from source systems into
target systems, from trigger to completion
Virtual system
integration
transfers data between disparate and legacy systems by connecting them at the user
interface level instead of implementing new data infrastructure and APIs
Application
migration
migrates application data, records and history as part of an upgrade or migration
project
25. Typical uses - IT
Technical debt
management
Minimize or reduce technical debt by bridging gap between systems, preventing
introduction of custom implementations
Product
management
Bridge the gap between IT systems and related portfolio/product management platforms
by enabling the automated updating of both systems
QA Automate quality assurance processes, including regression testing and automating
customer usage scenarios
Data migration Enable automated data migration efforts, especially through systems inaccessible
through traditional mediums, including from spreadsheets or other source data files
ETL Instead of introducing a complex ETL platform (extract, transform, load), enable the
organization to quickly onboard new customers and associated data
Point solution
integration
Enable federation of point solutions (e.g. SaaS) by eliminating complex and costly
integrations with custom APIs through automation
Gap solutions Fill in the gaps with process deficiencies, including simple tasks such as password
resets, synchronization of accounts for SSO, system resets, etc.
26. Typical uses - Sales
Sales
operations
Minimize manual updates of systems, production of reports, proposals and adherence
to internal sales processes
Demand
management
Fragmented use of marketing/sales automation systems creates opportunities for RPA
to bridge the gap and create a cohesive ecosystem of demand management tools
Revenue
forecasting
Automate the processing and updating of related financial statements for board
presentations, investors or other stakeholders in the financial performance of the
business
27. Typical uses - Finance
Financial
statements
Enable real-time, daily, weekly or monthly financial reporting along with distribution to
appropriate stakeholders. Eliminate multiple entries into different systems and
automated processing of reports
Reconciliation Automatically reconcile bank accounts, expenses along with appropriate journal entries
Compliance Enable greater compliance through having a completely auditable process run within
an RPA solution as opposed to a manual process
28. Transforming Industries
“Our ultimate goal is to have thousands of robots…”
- Ernst and Young
”The return per robot is around 3 to
6 times the investment…”
- Western Union
“Robotics is the biggest inflection point of the industry
since global sourcing”
- KPMG
Many of Deutsche Bank’s staff are already
working “like robots” and will be replaced by
actual robots, said John Cryan, Deutsche Bank
Robotics is predicted to automate or eliminate up to 40 percent
of transactional accounting work by 2020
- Accenture
31. Where it fits with other AI tools
Integration Layer
RPA Platform
AI Platforms Specialist
Digital Workforce
32. Business Views
• High level views, configurable
to global, regional or system
level
• Transaction performance
• License usage
• Hours delivered
• Configurable Exceptions View
Enterprise Reporting
33. System Health Views
• High level views, configurable to
global, regional or system level
• Full application stack - status and
health
• CPU utilization against
transaction
• Consolidated Event Log Errors
IT Reporting
34. Emerging
Technologies to
Watch
• Artificial Intelligence
• Machine Learning
• Block Chain
Emerging
Technologies to Act
On Now
• Automation
• RPA
These technologies are
transforming or disrupting
many industries right now
These technologies will
disrupt our future in many
industries
STRATEGIC EXECUTIONSTRATEGIC PLANNING
37. Licensing and Implementation
• Most platform licenses on a “Per Robot”
subscription
– Each Robot costs 15%-30% of an FTE
– Each Robot performs work of 3 to 10 FTEs
– ROI on a per-FTE basis exceeds 50-80%
• Implementation can start small, and grow
– Start with 2-3 processes, 2-3 robots
– POC followed by implementation usually 2-4 months
– Continue to scale across processes and departments
• Hosting
– On-premise and cloud options
– Robot-as-a-Service emerging as the trend
38. Contact us for more information:
Loren Eckart
404-964-3471
leckart@premierlogic
Q&A
Editor's Notes
#5: We are here to talk about robotic process automation, but we’re going to start by providing a background to establish context.
With that we’ll turn our attention to what RPA actually is, and why it’s gaining prominence.
We’ll then cover the RPA industry as a whole. Who is adopting it, why, to what degree along with examples of its use.
We’ll do a demo to show you Blue Prism, a leading RPA tool, in action.
We’ll lastly cover what RPA looks like at scale, in production and as the foundation of a business.
We’ll close with a Q&A session.
#8: RPA itself is not intelligent. The intelligence is still added to the system, but what it does is enable a path to AI and it makes AI possible. We think making this distinction is important, because when people talk about AI they assume it’s something far-fetched and in the future, or that there’s no applicability to your current business
However, RPA is today and companies are already adopting it with incredible rates.
#9: If we believe now that the center piece of our thinking is the delivery of a customer experience and that experience is driven by the employees, we need to seek solutions that create that experience quicker, less cost, more adaptive, etc. if we are to remain competitive.
#10: Just trying to get a “hero” out there to set the stage for what RPA is..
#14: The brand’s customer experience represents about 15% of the total enterprise. That’s what your customer experiences, what your brand represents and where disruptions often occur.
The rest, 85%, is where your costs lie. It’s everything else that should support the overall customer experience. And yet major businesses fail by not being able to adapt to customer needs. SHOW DISRUPTION ANIMATION.
Going back to our first quote, 70% of businesses are undergoing some kind of transformation (SHOW TRANSFORMATION) in an effort to drive value to the customer. 70% of those fail. We’ll discuss some o those underlying causes and where RPA plays a role in improving that picture.
…...
Put another way, the tip of the iceberg is what your customer experiences and what they ultimately buy. But 85% of how that’s delivered lies beneath the surface. Older companies have more legacy assets, costs, even tradition… that get in the way of transforming the critical 15% that engages customers.
Established companies must transform from the bottom up, from operations to marketing. Emerging companies have the benefit of starting with a transformational model, starting with the customer experience and down. The balance is that companies must mimic the environment of innovation in which a new company begins.
As we’ll see, the benefit of RPA is that it helps eliminate the legacy of the 85% and the costs and accelerates a path to what matters most.
Your customer sees the 15% and they want the 15%. Everything else is your cost in how to get there. Companies that succeed in doing the 85% in a low cost, innovative way that adapts to the customers’ need wins. This means we have to be as operationally lean and agile was our technology teams.
#15: RPA isn’t new. Automation isn’t new. Business process automation isn’t new. Putting it all together in a manner that serves the needs of businesses today is new.
#16: RPA isn’t new. Automation isn’t new. Business process automation isn’t new. Putting it all together in a manner that serves the needs of businesses today is new.
#21: RPA is happening in a big way.
Research shows that automation – specifically RPA – can result in dramatic cost reductions and that upwards of 30% of existing activities today will be performed by automation capabilities tomorrow, including RPA and AI.
It isn’t just about cost takeout today; it’s also about, and in our opinion more about, the reduction of costs in the future. Effectively providing a more fixed cost
#29: Robotics is predicted to automate or eliminate up to 40 percent of transactional accounting work by 2020, a 2015 Accenture report found
· Eventually robotic software will be as freely used in accounting as Excel, Ricker said.
· Bill Cline, the national advisory leader for digital labor at global audit, tax and advisory firm KPMG LLP, said robotics is the biggest inflection point of the industry since global sourcing.
#31: There is no shortage of of tools in the marketplace. But the primary difficulty is that there has been an explosion of point solutions, tactical solutions to what really is a business transformational problem. It’s tools that support the tip of the iceberg and making that tip more prominent, but it does little for integrating with the legacy of the enterprise that is at the foundation of enabling a successful transformation.
#33: We already have dashboards within the product, but of course many of our enterprise clients are now deploying at significant scale, often with multiple instances globally. To this end, the Splunk app will enable you to view at multiple levels – from global, to regional to instance level. The business view will allow you to view things like transaction performance, license usage, business exceptions and business benefit delivered by the Virtual workforce, as well as insights into the available resources within it
#34: In a similar vein, the system health views will enable you to see the overall health of your environment, from a high level service perspective, all the way down to individual system performance. You will even be able to use the transaction related data to map against system performance, to look for trends of poor performance caused by a certain transaction. This is a first step for us on enabling class leading analytics capabilities across multiple platforms. The Splunk app is undergoing further development and beta testing in the next few weeks and we are aiming to release it with Version 6.