Artificial Intelligence Virtual Assistants & ChatbotsaNumak & Company
Artificial Intelligence transforms different interfaces into interactive systems that can be interacted with using Natural Language Processing technology. Thus, businesses can offer voice-integrated smart self-service solutions to their customers with Natural Dialogue Solutions, which can be positioned in different areas ranging from IVR systems to virtual assistants, from chatbots to smart systems.
This document outlines Info-Tech's methodology for building a chatbot proof of concept (POC). It involves 3 phases - 1) Forming your chatbot strategy by calculating ROI and defining metrics, 2) Architecting your chatbot by building conversation trees and integrations, and 3) Continually improving your chatbot by building a support team and identifying future steps. The document provides guidance on critical decisions for chatbot implementation such as audience, scope, expertise needed, and whether to build in-house or outsource. It also describes various Info-Tech offerings that can assist with guided implementation, workshops, or full consulting services.
Chatbot Service Providers | Chatbot Solution Providers | Ai Chatbot PlatformsElfo Digital Solutions
Elfo offers you 24/7 chat robot service platform. You can deploy your existing web application through our Chatbot Builder and get more leads and sales. We offer a free 14-day trial hosting on our platform to ensure the configuration, installation, and proper operation of your chatbot. To know more just visit this link: https://www.elfo.com/bot
Chatbots are computer programs designed to simulate conversation with humans. Examples include Cortana, Siri, and Eliza, the first chatbot created by Joseph Weizenbaum. Chatbots provide information to users quickly and efficiently or entertain through humor. They are trained using large datasets of conversation logs to understand language and determine appropriate responses. While chatbots reduce costs and can handle many users at once, they have limitations in complex conversations. Future chatbots may become more specialized and need to be effectively managed.
Chatbots are computer programs designed to simulate conversation with humans over the Internet. Examples include Cortana, Siri, and Eliza, the first chatbot created by Joseph Weizenbaum. Chatbots provide information quickly and efficiently for productivity or entertainment, fueling conversations to avoid loneliness. They are trained using large datasets of conversation logs to understand language and connect questions to answers. While chatbots reduce costs and can handle many users at once, they have limitations in complex conversations and understanding intent. Future chatbots may become more specialized and useful in applications like e-commerce, travel, and events.
Do you use the internet? Do you use websites with customer support live chat? If you answered yes to any of the questions I asked above, then chances are you have the first-hand experience of interacting with a chatbot. With digital interaction reaching new heights, chatbots have become quite the new buzz. And over the time chatbots have evolved too. When chatbots were conceived, they sounded entirely robotic, but today with the advancements in machine learning, these chatbots have improved in analysing the legions of data provided to them. They almost feel human when talking to.
With lower budgets and staff available, chatbots may be the future of Extension support. Learn how we built our own Extension chatbot called "veggiebot" to help answer questions from the public.
This document provides an overview of chatbots from Deloitte Artificial Intelligence. It discusses the rise of chatbots and how they are becoming more sophisticated through advances in AI. It describes different types of chatbots from simple FAQ chatbots to more advanced virtual agents. It also outlines factors to consider when architecting a chatbot such as natural language processing capabilities and training approaches. Finally, it discusses Deloitte's approach to assisting clients with chatbot implementations.
Artificial Intelligence Improving the Candidate Experience AppVault
Curious where and how Artificial Intelligence (AI) plays in the Candidate Experience? Look no further than chat bots and automated recruitment marketing.
This document provides an overview of chatbots from Deloitte AI. It discusses the rise of chatbots and how they are becoming more sophisticated through advances in AI. It describes different types of chatbots from basic FAQ chatbots to more advanced virtual agents. It also discusses how to architect chatbots, including the need for natural language processing, machine learning, intent recognition and other capabilities. The document then provides an overview of Deloitte's approach to assisting clients with chatbot implementation, from the initial exploration phase to building prototypes and integrating solutions.
Chatbots are services powered by rules and sometimes artificial intelligence that users interact with via chat interfaces. They are a big opportunity because people are using messaging apps more than social networks, so building services within messaging platforms positions them where users spend their time. Chatbots work either by following a set of predefined rules or using machine learning to be more flexible. While they seem simple, building good chatbot experiences requires overcoming challenges like analytics, optimization, and platform changes. Common steps to create a chatbot include determining its purpose, choosing a platform like Facebook Messenger or Slack, and selecting a development service to build it.
HUBSPOT AND MOTION AI CHATBOT ENABLED CRM.pptxajithv37
Chatbot Integration with HubSpot:
Motion AI would be used to create and design a chatbot.
The chatbot could be integrated with HubSpot using APIs or other integration methods available.
Lead Generation and Qualification:
The chatbot would be deployed on a website or messaging platform.
It could engage with visitors, ask qualifying questions, and capture lead information.
Data Collection and Segmentation:
The chatbot would collect user data, such as name, email, company, and specific interests or needs.
This data would be sent to HubSpot and automatically segmented based on predefined criteria.
Automated Responses and Follow-ups:
The chatbot could provide instant responses to common queries.
It could also schedule follow-up actions, such as sending follow-up emails or assigning tasks to sales representatives within HubSpot.
Lead Nurturing:
Based on the information collected, the chatbot could initiate lead nurturing campaigns.
This might include sending personalized content, product recommendations, or additional resources.
Qualification and Routing:
Using the information gathered, the chatbot could qualify leads based on predefined criteria.
Qualified leads could be automatically routed to the appropriate sales representatives or teams in HubSpot.
Tracking and Analytics:
Both platforms would offer analytics and reporting capabilities.
You could track the performance of the chatbot, monitor lead interactions, and measure conversion rates.
CRM Data Enrichment:
The chatbot could automatically enrich CRM records with additional information gathered through conversations.
Customer Support and Service:
The chatbot could assist with customer support by providing answers to common questions or directing customers to relevant resources.
It could also create tickets or escalate issues within HubSpot's customer service module.
Feedback and Surveys:
The chatbot could be programmed to solicit feedback or conduct surveys to gather customer insights.
This data could be stored in HubSpot for analysis and action.
Artificial intelligence is growing rapidly with the use of chatbots. The use of chatbots in mobile app development is becoming more popular in the software business
This document discusses chatbot technology. It defines chatbots as computer programs that interact with users through text or voice using artificial intelligence. It describes two main types of chatbots - open domain chatbots that can discuss general topics using AI/machine learning, and closed domain chatbots that operate within a set of rules. The document outlines several benefits of chatbot technology for businesses, such as automating customer service and promoting offers. It provides examples of how chatbots can be used for customer service, IT support, HR functions, and more. Finally, it identifies industries like hospitality, banking, retail, and publishing that are well-suited to implement consumer-facing chatbots.
This document provides an overview of chat bot applications and related technologies. It discusses what a chat bot is, sample use cases for chat bots like providing commerce and information services, and platforms for developing and deploying chat bots like Azure Bot Service and Cognitive Services. Benefits of chat bots include reducing business costs by automating support, collecting user data to improve products, and providing 24/7 automated assistance to customers.
Chatbots are computer programs that conduct conversations via text or audio to simulate human interactions. There are two main types - rule-based bots that follow guidelines and AI-powered bots that learn from discussions. Common chatbots provide information on climate, news, meetings/bookings, finance, customer support, and ordering. Businesses that receive repetitive queries or involve low-involvement purchases are good candidates for chatbots. To create one, you select a platform like Facebook Messenger, choose development tools, and build conversational scenarios. Considerable platforms for building chatbots include Facebook Messenger, Chattypeople, Meokay, Telegram, and Smooch.
(1) Chatbots are increasingly being used in CRM systems like Hubspot's to handle initial customer queries and simple tasks in order to reduce costs. However, chatbots still struggle with complex queries that require human judgment.
(2) To improve the human touch of chatbots, companies can continue training chatbots with new data, make them more empathetic, use natural language processing to make them seem friendlier, implement conversation analytics, and have a clear escalation process to human agents.
(3) Chatbots can play various roles in the sales process depending on the stage. They are best suited for the awareness stage through handling basic questions, but most sales will still require human involvement for complex discussions and
A study states that people are now spending more time in messaging apps than social networking applications. Messaging apps are in trend and chatbots are the future. Learn everything about the chatbots from history to types to working, right here.
All You Need To Know About Chatbot Development.pdfJPLoft Solutions
Chatbots could reduce your client service costs and waiting time. They're helpful for everyone. They also provide various services ranging from answering simple queries to handling more complex personal requests. Understanding chatbots and their functions will help you determine whether they're the right choice for your needs.
The Software Challenges of Building Smart Chatbots - ICSE'21Jordi Cabot
Chatbots are popular solutions assisting humans in multiple fields, such as customer support or e-learning. However, building such applications has become a complex task requiring a high-level of expertise in a variety of technical domains. Chatbots need to integrate (AI-based) NLU components, but also connect to internal/external services, deploy on various platforms, etc.
The briefing will first cover the current landscape of chatbot frameworks. Then, we’ll get our hands dirty and create a few bots of increasing difficulty playing with aspects like entity recognition, sentiment analysis, event processing, or testing. By the end of the session, attendees will have all the keys to understand the main steps and obstacles to building a good chatbot.
AI Chatbot Development – A Comprehensive Guide .pdfayushiqss
Discover how generative AI is transforming IT development in this blog. Learn how using AI software development, artificial intelligence tools, and generative AI tools can lead to smarter, faster, and more efficient software creation. Explore real-world applications and see how these technologies are driving innovation and cutting costs in IT development.
Chatbots have grown business by drawing in a greater number of customers, investigating customer data, providing personalized support and thus increasing sales. This has made an evident feature in app development
How Will Chatbots Affect Customer Service?Robert Smith
AI chatbots use your existing information and resources, like FAQs or knowledge base articles, to help answer and resolve your customers' questions. They can recognize and answer multiple forms of the same question and can be trained to give instant responses using your preferred voice and tone.
Take your communication to the next level with chat botBrian Aldous Datu
The past was all about capturing emails. The future will be all about having conversations.
Learn how Ubertor Chatbot can help you grow your Real Estate Business.
Chatbots are virtual assistants that communicate via text or voice. They come in two types: simple chatbots that respond based on pre-programmed keywords, and smart chatbots that learn from conversations using AI. Chatbots provide benefits to both customers and businesses by answering questions efficiently, keeping users engaged for entertainment, and enhancing social experiences and conversational skills without judgment. As chatbots become more sophisticated using AI, they are an important tool for businesses to consider.
Explore the world of AI-powered chatbots and their powerful benefits. Streamline your business communication with cutting-edge technology for enhanced customer satisfaction. Read now! https://www.syscraftonline.com/blog/what-are-ai-powered-chatbots-and-their-benefits
How to make a chatbot with artificial intelligence convertedChapter247 Infotech
An AI chatbot is a computer program that uses artificial intelligence to simulate conversations with humans in real-time. Chatbots are trained to understand language and respond intelligently to user queries based on their programming and interactions. Building intelligent chatbots requires techniques like natural language processing, machine learning, and neural networks to analyze language, learn from interactions, and respond appropriately. While chatbots aim to be helpful, building true intelligence and context awareness into them remains a challenge.
TrsLabs - Fintech Product & Business ConsultingTrs Labs
Hybrid Growth Mandate Model with TrsLabs
Strategic Investments, Inorganic Growth, Business Model Pivoting are critical activities that business don't do/change everyday. In cases like this, it may benefit your business to choose a temporary external consultant.
An unbiased plan driven by clearcut deliverables, market dynamics and without the influence of your internal office equations empower business leaders to make right choices.
Getting things done within a budget within a timeframe is key to Growing Business - No matter whether you are a start-up or a big company
Talk to us & Unlock the competitive advantage
Artificial Intelligence Improving the Candidate Experience AppVault
Curious where and how Artificial Intelligence (AI) plays in the Candidate Experience? Look no further than chat bots and automated recruitment marketing.
This document provides an overview of chatbots from Deloitte AI. It discusses the rise of chatbots and how they are becoming more sophisticated through advances in AI. It describes different types of chatbots from basic FAQ chatbots to more advanced virtual agents. It also discusses how to architect chatbots, including the need for natural language processing, machine learning, intent recognition and other capabilities. The document then provides an overview of Deloitte's approach to assisting clients with chatbot implementation, from the initial exploration phase to building prototypes and integrating solutions.
Chatbots are services powered by rules and sometimes artificial intelligence that users interact with via chat interfaces. They are a big opportunity because people are using messaging apps more than social networks, so building services within messaging platforms positions them where users spend their time. Chatbots work either by following a set of predefined rules or using machine learning to be more flexible. While they seem simple, building good chatbot experiences requires overcoming challenges like analytics, optimization, and platform changes. Common steps to create a chatbot include determining its purpose, choosing a platform like Facebook Messenger or Slack, and selecting a development service to build it.
HUBSPOT AND MOTION AI CHATBOT ENABLED CRM.pptxajithv37
Chatbot Integration with HubSpot:
Motion AI would be used to create and design a chatbot.
The chatbot could be integrated with HubSpot using APIs or other integration methods available.
Lead Generation and Qualification:
The chatbot would be deployed on a website or messaging platform.
It could engage with visitors, ask qualifying questions, and capture lead information.
Data Collection and Segmentation:
The chatbot would collect user data, such as name, email, company, and specific interests or needs.
This data would be sent to HubSpot and automatically segmented based on predefined criteria.
Automated Responses and Follow-ups:
The chatbot could provide instant responses to common queries.
It could also schedule follow-up actions, such as sending follow-up emails or assigning tasks to sales representatives within HubSpot.
Lead Nurturing:
Based on the information collected, the chatbot could initiate lead nurturing campaigns.
This might include sending personalized content, product recommendations, or additional resources.
Qualification and Routing:
Using the information gathered, the chatbot could qualify leads based on predefined criteria.
Qualified leads could be automatically routed to the appropriate sales representatives or teams in HubSpot.
Tracking and Analytics:
Both platforms would offer analytics and reporting capabilities.
You could track the performance of the chatbot, monitor lead interactions, and measure conversion rates.
CRM Data Enrichment:
The chatbot could automatically enrich CRM records with additional information gathered through conversations.
Customer Support and Service:
The chatbot could assist with customer support by providing answers to common questions or directing customers to relevant resources.
It could also create tickets or escalate issues within HubSpot's customer service module.
Feedback and Surveys:
The chatbot could be programmed to solicit feedback or conduct surveys to gather customer insights.
This data could be stored in HubSpot for analysis and action.
Artificial intelligence is growing rapidly with the use of chatbots. The use of chatbots in mobile app development is becoming more popular in the software business
This document discusses chatbot technology. It defines chatbots as computer programs that interact with users through text or voice using artificial intelligence. It describes two main types of chatbots - open domain chatbots that can discuss general topics using AI/machine learning, and closed domain chatbots that operate within a set of rules. The document outlines several benefits of chatbot technology for businesses, such as automating customer service and promoting offers. It provides examples of how chatbots can be used for customer service, IT support, HR functions, and more. Finally, it identifies industries like hospitality, banking, retail, and publishing that are well-suited to implement consumer-facing chatbots.
This document provides an overview of chat bot applications and related technologies. It discusses what a chat bot is, sample use cases for chat bots like providing commerce and information services, and platforms for developing and deploying chat bots like Azure Bot Service and Cognitive Services. Benefits of chat bots include reducing business costs by automating support, collecting user data to improve products, and providing 24/7 automated assistance to customers.
Chatbots are computer programs that conduct conversations via text or audio to simulate human interactions. There are two main types - rule-based bots that follow guidelines and AI-powered bots that learn from discussions. Common chatbots provide information on climate, news, meetings/bookings, finance, customer support, and ordering. Businesses that receive repetitive queries or involve low-involvement purchases are good candidates for chatbots. To create one, you select a platform like Facebook Messenger, choose development tools, and build conversational scenarios. Considerable platforms for building chatbots include Facebook Messenger, Chattypeople, Meokay, Telegram, and Smooch.
(1) Chatbots are increasingly being used in CRM systems like Hubspot's to handle initial customer queries and simple tasks in order to reduce costs. However, chatbots still struggle with complex queries that require human judgment.
(2) To improve the human touch of chatbots, companies can continue training chatbots with new data, make them more empathetic, use natural language processing to make them seem friendlier, implement conversation analytics, and have a clear escalation process to human agents.
(3) Chatbots can play various roles in the sales process depending on the stage. They are best suited for the awareness stage through handling basic questions, but most sales will still require human involvement for complex discussions and
A study states that people are now spending more time in messaging apps than social networking applications. Messaging apps are in trend and chatbots are the future. Learn everything about the chatbots from history to types to working, right here.
All You Need To Know About Chatbot Development.pdfJPLoft Solutions
Chatbots could reduce your client service costs and waiting time. They're helpful for everyone. They also provide various services ranging from answering simple queries to handling more complex personal requests. Understanding chatbots and their functions will help you determine whether they're the right choice for your needs.
The Software Challenges of Building Smart Chatbots - ICSE'21Jordi Cabot
Chatbots are popular solutions assisting humans in multiple fields, such as customer support or e-learning. However, building such applications has become a complex task requiring a high-level of expertise in a variety of technical domains. Chatbots need to integrate (AI-based) NLU components, but also connect to internal/external services, deploy on various platforms, etc.
The briefing will first cover the current landscape of chatbot frameworks. Then, we’ll get our hands dirty and create a few bots of increasing difficulty playing with aspects like entity recognition, sentiment analysis, event processing, or testing. By the end of the session, attendees will have all the keys to understand the main steps and obstacles to building a good chatbot.
AI Chatbot Development – A Comprehensive Guide .pdfayushiqss
Discover how generative AI is transforming IT development in this blog. Learn how using AI software development, artificial intelligence tools, and generative AI tools can lead to smarter, faster, and more efficient software creation. Explore real-world applications and see how these technologies are driving innovation and cutting costs in IT development.
Chatbots have grown business by drawing in a greater number of customers, investigating customer data, providing personalized support and thus increasing sales. This has made an evident feature in app development
How Will Chatbots Affect Customer Service?Robert Smith
AI chatbots use your existing information and resources, like FAQs or knowledge base articles, to help answer and resolve your customers' questions. They can recognize and answer multiple forms of the same question and can be trained to give instant responses using your preferred voice and tone.
Take your communication to the next level with chat botBrian Aldous Datu
The past was all about capturing emails. The future will be all about having conversations.
Learn how Ubertor Chatbot can help you grow your Real Estate Business.
Chatbots are virtual assistants that communicate via text or voice. They come in two types: simple chatbots that respond based on pre-programmed keywords, and smart chatbots that learn from conversations using AI. Chatbots provide benefits to both customers and businesses by answering questions efficiently, keeping users engaged for entertainment, and enhancing social experiences and conversational skills without judgment. As chatbots become more sophisticated using AI, they are an important tool for businesses to consider.
Explore the world of AI-powered chatbots and their powerful benefits. Streamline your business communication with cutting-edge technology for enhanced customer satisfaction. Read now! https://www.syscraftonline.com/blog/what-are-ai-powered-chatbots-and-their-benefits
How to make a chatbot with artificial intelligence convertedChapter247 Infotech
An AI chatbot is a computer program that uses artificial intelligence to simulate conversations with humans in real-time. Chatbots are trained to understand language and respond intelligently to user queries based on their programming and interactions. Building intelligent chatbots requires techniques like natural language processing, machine learning, and neural networks to analyze language, learn from interactions, and respond appropriately. While chatbots aim to be helpful, building true intelligence and context awareness into them remains a challenge.
TrsLabs - Fintech Product & Business ConsultingTrs Labs
Hybrid Growth Mandate Model with TrsLabs
Strategic Investments, Inorganic Growth, Business Model Pivoting are critical activities that business don't do/change everyday. In cases like this, it may benefit your business to choose a temporary external consultant.
An unbiased plan driven by clearcut deliverables, market dynamics and without the influence of your internal office equations empower business leaders to make right choices.
Getting things done within a budget within a timeframe is key to Growing Business - No matter whether you are a start-up or a big company
Talk to us & Unlock the competitive advantage
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.
AI and Data Privacy in 2025: Global TrendsInData Labs
In this infographic, we explore how businesses can implement effective governance frameworks to address AI data privacy. Understanding it is crucial for developing effective strategies that ensure compliance, safeguard customer trust, and leverage AI responsibly. Equip yourself with insights that can drive informed decision-making and position your organization for success in the future of data privacy.
This infographic contains:
-AI and data privacy: Key findings
-Statistics on AI data privacy in the today’s world
-Tips on how to overcome data privacy challenges
-Benefits of AI data security investments.
Keep up-to-date on how AI is reshaping privacy standards and what this entails for both individuals and organizations.
Mobile App Development Company in Saudi ArabiaSteve Jonas
EmizenTech is a globally recognized software development company, proudly serving businesses since 2013. With over 11+ years of industry experience and a team of 200+ skilled professionals, we have successfully delivered 1200+ projects across various sectors. As a leading Mobile App Development Company In Saudi Arabia we offer end-to-end solutions for iOS, Android, and cross-platform applications. Our apps are known for their user-friendly interfaces, scalability, high performance, and strong security features. We tailor each mobile application to meet the unique needs of different industries, ensuring a seamless user experience. EmizenTech is committed to turning your vision into a powerful digital product that drives growth, innovation, and long-term success in the competitive mobile landscape of Saudi Arabia.
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.
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptxAnoop Ashok
In today's fast-paced retail environment, efficiency is key. Every minute counts, and every penny matters. One tool that can significantly boost your store's efficiency is a well-executed planogram. These visual merchandising blueprints not only enhance store layouts but also save time and money in the process.
Quantum Computing Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
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! 🚀
Designing Low-Latency Systems with Rust and ScyllaDB: An Architectural Deep DiveScyllaDB
Want to learn practical tips for designing systems that can scale efficiently without compromising speed?
Join us for a workshop where we’ll address these challenges head-on and explore how to architect low-latency systems using Rust. During this free interactive workshop oriented for developers, engineers, and architects, we’ll cover how Rust’s unique language features and the Tokio async runtime enable high-performance application development.
As you explore key principles of designing low-latency systems with Rust, you will learn how to:
- Create and compile a real-world app with Rust
- Connect the application to ScyllaDB (NoSQL data store)
- Negotiate tradeoffs related to data modeling and querying
- Manage and monitor the database for consistently low latencies
Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
UiPath Community Berlin: Orchestrator API, Swagger, and Test Manager APIUiPathCommunity
Join this UiPath Community Berlin meetup to explore the Orchestrator API, Swagger interface, and the Test Manager API. Learn how to leverage these tools to streamline automation, enhance testing, and integrate more efficiently with UiPath. Perfect for developers, testers, and automation enthusiasts!
📕 Agenda
Welcome & Introductions
Orchestrator API Overview
Exploring the Swagger Interface
Test Manager API Highlights
Streamlining Automation & Testing with APIs (Demo)
Q&A and Open Discussion
Perfect for developers, testers, and automation enthusiasts!
👉 Join our UiPath Community Berlin chapter: https://community.uipath.com/berlin/
This session streamed live on April 29, 2025, 18:00 CET.
Check out all our upcoming UiPath Community sessions at https://community.uipath.com/events/.
1. Applications of AI – Chatbot
Tushar B. Kute,
http://tusharkute.com
2. Chatbot
• Chatbots are software applications that use
artificial intelligence & natural language
processing to understand what a human wants,
and guides them to their desired outcome with
as little work for the end user as possible.
• Like a virtual assistant for your customer
experience touchpoints.
3. Chatbot
• A well designed & built chatbot will:
– Use existing conversation data (if available)
to understand the type of questions people
ask.
– Analyze correct answers to those questions
through a ‘training’ period.
– Use machine learning & NLP to learn context,
and continually get better at answering those
questions in the future.
5. Chatbot
• One of the most interesting parts of the chatbot
software space is the variety of ways you can build a
chatbot.
• The underlying technology can vary quite a bit, but it
really all comes down to what your goals are. At the
highest level, there are three types of chatbots most
consumers see today:
– Rules-Based Chatbots – These chatbots follow
pre-designed rules, often built using a graphical
user interface where a bot builder will design
paths using a decision tree.
6. Chatbot
• Continued...
– AI Chatbots – AI chatbots will automatically
learn after an initial training period by a bot
developer.
– Live Chat – These bots are primarily used by
Sales & Sales Development teams. They can
also be used by Customer Support
organizations, as live chat is a more simplistic
chat option to answer questions in real-time.
8. Why Chatbot ?
• Today’s marketing & sales teams are under a lot of
pressure to not only show results, but to constantly
be improving the customer experience.
• It’s a big task. Not to mention the ever-increasing
expectations of todays consumers (aka, the Amazon
effect).
• Today, we expect answers immediately and we
expect that they will be accurate. This can be done
with human beings up to a certain tipping point, then
technology has to be the answer. This is why forward-
thinking brands have adopted chatbots to help them.
9. Why Chatbot ?
• Increase their website conversion rate – Marketers put a lot of
work in to drive traffic to their website, to only have that
traffic convert anywhere between 0.25%-1.0%.
• Generate more qualified leads – It would be nice if we could
talk to every lead and ensure they’re a good fit before we
schedule a meeting. In reality, that’s impossible for most
organizations to do at scale. Bots can help use advanced
qualification logic to do lead qualification and improve sales
acceleration.
• Combat Customer Churn – Bots are a perfect answer to high-
volume support inquiries, especially where customers become
frustrated with standard knowledge bases that are hard to sift
through.
10. Why Chatbots are important ?
• There’s no denying the hype that’s been surrounding
automated chatbots over the past few years.
• Whether you view the technology as a passing fad, or
believe that chat bots will revolutionize how people
communicate and interact, the impact chatbots are
having on online experiences is real…and it’s
measurable.
• To help shed light on how chatbots are reshaping online
experiences today, the teams at Drift, SurveyMonkey
Audience, Salesforce, and myclever have come together
to create a data-backed report based on a survey of
1,000+ adults.
13. [email protected]
Thank you
This presentation is created using LibreOffice Impress 5.1.6.2, can be used freely as per GNU General Public License
Web Resources
http://mitu.co.in
http://tusharkute.com
/mITuSkillologies @mitu_group
[email protected]
/company/mitu-
skillologies
MITUSkillologies