This presentation contains information relating to how Microsoft Azure can help small and large enterprises transform to digital. The presentation also covers set of Azure Cognitive Services and a demonstration with Text Analytics AP
This is the slide deck which was used for my webinar on Digital Transformation and Microsoft 365. In this session I've given a detailed overview of Digital Transformation and how it has been disrupting the organizations across the globe. I've also explained how Microsoft 365 can help in planning your organization's Digital Transformation.
An initiative to healthcare analytics with office 365 and power bi spsparis2017Thuan Ng
Today data is a valuable asset in every organization, especially in healthcare industry. For example, with data about number of patients by location, hospital shall have the ability to offer more services to take care of them rapidly by building more medical stataion. Or with doctor's workload you know how to start hiring more human resources to balance the workload. With Office 365 - a digital workplace platform and PowerBI - a business intelligence and analytics on Microsoft Cloud service, let's have a look at how the digital transformation is initiated for healthcare industry.
Advanced Analytics and Artificial Intelligence - Transforming Your Business T...David J Rosenthal
Recent advances in AI have incredible potential and they are already fundamentally changing our lives in ways we couldn’t have imagined even five years ago. And yet, AI is also probably one of the least understood technological breakthroughs in modern times. Come to this event to learn about breakthrough advances in AI and the power of the cloud, and how Microsoft provides a flexible platform for you to infuse intelligence into your own products and services. Microsoft empowers you to transform your business, uniquely combining AI innovation with a proven Enterprise platform, deriving intelligence from a wide range of data relevant to your business no matter where it lives.
Transforming Business for the Digital Age (Presented by Microsoft)Cloudera, Inc.
Digital transformation is not simply about technology—it requires business and government leaders to re-envision existing business models and embrace a different way of bringing together people, data, and processes to create value for their customers. The challenges facing businesses today are very familiar: engaging customers, empowering employees, optimizing operations, and transforming products.
What has changed is the unique convergence of increasing volumes of data from the digitization of our lives, the advancements in analytics and machine intelligence and the ubiquity of cloud computing which has shifted customer expectations and offers businesses opportunities to surpass those expectations and reinvent the value they offer.
This presentation explores the journey Microsoft is on with various different organisations from around the world as they Digitally Transform.
Explore, analyze and interpret information for better business outcomes
IBM Watson Explorer is a cognitive exploration solution that combines search and content analytics with unique cognitive
computing capabilities to help users find and understand the information they need to work more efficiently and make better, more confident decisions.
To learn more about IBM Watson Explorer visit ibm.biz/watsonexplorer.
This document discusses the transformation of IT expenses from capital expenditures (CAPEX) to operating expenditures (OPEX) through pay-as-you-go cloud computing models. It notes that cloud computing provides benefits like access to latest versions, flexibility and scalability, rapid time to market, and a focus on market differentiation rather than infrastructure. A survey found that customers' top reasons for cloud satisfaction were reduced maintenance requirements, shorter rollouts, and accessibility from anywhere via the internet.
This document discusses combining Apache Spark and MongoDB for real-time analytics. It describes how MongoDB provides rich analytics capabilities through queries, aggregations, and indexing. Apache Spark can further extend MongoDB's analytics by offering additional processing capabilities. Together, Spark and MongoDB enable organizations to perform real-time analytics directly on operational data without needing separate analytics infrastructure.
Microsoft PPM helps you deliver on business strategies through high-impact outcomes. You can think of the PPM as a lifecycle which comprises of three phases: Ideate, Plan, and Execute.
Ideate: Is the initiation phase in which ideas are collected and projects are proposed. The organization’s business drivers capture the company’s strategy and guide ideation.
Plan: This phase includes preliminary planning of the projects at a high level. Microsoft PPM helps prioritize the projects subject to budget and resourcing constraints. Once projects are approved the solution supports detailed and realistic planning.
Execute: The goal of this phase is to deliver the projects through collaboration of the involved stakeholders.
Built on Microsoft’s cloud Microsoft PPM weaves in cloud services that power the PPM solution with collaboration capabilities, advanced analytics that drive insights and the ability to customize and extend the solution to meet unique needs of your organization.
Microsoft PPM is built on Microsoft’s cloud infrastructure. This means you get enterprise-grade security and compliance, highly secure and geographically diverse data centers, and a 99.9% uptime guarantee.
Pivotal Data Warehouse in the Age of Digital TransformationVMware Tanzu
View the recording: https://content.pivotal.io/webinars/the-data-warehouse-in-the-age-of-digital-transformation?utm_source-pivotalwebsite&utm-medium-email-link&utm-campaign=datawarehouse-hiredbrains-q117
In the past years of Big Data and digital transformation “euphoria”, Hadoop and Spark received most of the attention as platforms for large-scale data management and analytics. Data warehouses based on relational database technology, for a variety of reasons, came under scrutiny as perhaps no longer needed.
However, if there is anything users have learned recently it’s that the mission of data warehouses is as vital as ever. Cost and operational deficiencies can be overcome with a combination of cloud computing and open source software, and by leveraging the same economics of traditional big data projects - scale-up and scale-out at commodity pricing.
In this webinar, Neil Raden from Hired Brains Research makes the case that an evolved data warehouse implementation continues to play a vital role in the enterprise, providing unique business value that actually aids digital transformation. Attendees will learn:
- How the role of the data warehouse has evolved over time
- Why Hadoop and Spark are not replacements for the data warehouse
- How the data warehouse supports digital transformation initiatives
- Real-life examples of data warehousing in digital transformation scenarios
- Advice and best practices for evolving your own data warehouse practice
This document provides an overview of business intelligence and analytics tools from Microsoft, focusing on Power BI. Power BI allows users to perform discovery, exploration, and ad-hoc analysis of large datasets through custom visualizations and live data access. It also allows organizations to get more from existing Reporting Services investments. The document includes quotes from various companies praising Power BI for providing instrumental business intelligence solutions and transforming decision making through data-driven insights.
Following Matei Zaharia’s keynote presentation, join this session for the nitty gritty details. Tableau is joining forces with Databricks and the Delta Lake open source community to announce Delta Sharing and the new open Delta Sharing protocol for secure data sharing. For Tableau customers, Delta Sharing simplifies and enriches data, while supporting the development of a data culture. Join this session to see a live demo of Tableau on Delta Sharing. Tableau customers can choose between 2 workflows for connection. The first workflow is called “Direct Connect,” which leverages a Tableau WDC connector. The second workflow involves using a hybrid approach for querying live on the Delta Sharing protocol and using Tableau Hyper in-memory data engine for fast data ingestion and analytical query processing.
CONNtext provides a seamless connection between IBM Maximo Asset Management and IBM FileNet Enterprise Content Management systems. It allows real-time access to documents from Maximo and links asset management activities in Maximo to specific document versions in FileNet. This addresses challenges of information silos and helps maintain up-to-date design documentation for assets. The solution is configurable to client needs and leverages IBM's SOA infrastructure.
Empower Your Organization with Microsoft Power PlatformDavid J Rosenthal
The document discusses the Microsoft Power Platform and how it empowers organizations with application development, data analytics, and workflow automation. It highlights that 500 million new apps will be built in the next 5 years, more than all apps built in the last 40 years. It also notes that 86% of organizations struggle to find technical talent for application development. The Power Platform is positioned as a low-code platform that can help organizations build apps and automate workflows across Microsoft products like Office 365, Dynamics 365 and Azure without extensive coding.
Fueling AI & Machine Learning: Legacy Data as a Competitive AdvantagePrecisely
The document discusses how legacy customer data stored in organizations can provide a competitive advantage for training AI/machine learning models and powering personalized customer experiences while ensuring privacy protection. It explains that legacy data is needed to train accurate predictive models, enable cross-channel personalization, and allow for strong governance and control over sensitive customer information. Finally, it states that without access to legacy customer data stores, organizations cannot fully leverage AI/ML to drive predictive marketing, deliver personalized experiences, or comprehensively protect customer privacy.
This document discusses how advanced analytics and AI capabilities like machine learning can be applied across many industries and use cases to drive faster innovation, improve outcomes, and increase revenue. Specific applications mentioned include customer analytics, risk management, predictive maintenance, supply chain optimization, cybersecurity threat prevention, and more. A variety of data types from different sources can be analyzed to generate insights, recommendations and predictions.
Maximize the Value of Your Data: Neo4j Graph Data PlatformNeo4j
In this 60-minute conversation with IDC, we will highlight the momentum and reasons why a graph data platform is a breakthrough solution for businesses in need of a flexible data model.
Please join Mohit Sagar, Group Managing Director of CIO Network, as he hosts the conversation with Dr. Christopher Lee Marshall, Associate VP at IDC, and Nik Vora, Vice President of APAC at Neo4. During this very exciting discussion, you'll discover the insights and knowledge unlocked with the graph data platform.
DataOps: Nine steps to transform your data science impact Strata London May 18Harvinder Atwal
According to Forrester Research, only 22% of companies are currently seeing a significant return from data science expenditures. Most data science implementations are high-cost IT projects, local applications that are not built to scale for production workflows, or laptop decision support projects that never impact customers. Despite this high failure rate, we keep hearing the same mantra and solutions over and over again. Everybody talks about how to create models, but not many people talk about getting them into production where they can impact customers.
Harvinder Atwal offers an entertaining and practical introduction to DataOps, a new and independent approach to delivering data science value at scale, used at companies like Facebook, Uber, LinkedIn, Twitter, and eBay. The key to adding value through DataOps is to adapt and borrow principles from Agile, Lean, and DevOps. However, DataOps is not just about shipping working machine learning models; it starts with better alignment of data science with the rest of the organization and its goals. Harvinder shares experience-based solutions for increasing your velocity of value creation, including Agile prioritization and collaboration, new operational processes for an end-to-end data lifecycle, developer principles for data scientists, cloud solution architectures to reduce data friction, self-service tools giving data scientists freedom from bottlenecks, and more. The DataOps methodology will enable you to eliminate daily barriers, putting your data scientists in control of delivering ever-faster cutting-edge innovation for your organization and customers.
Architecting Data For The Modern Enterprise - Data Summit 2017, Closing KeynoteCaserta
The “Big Data era” has ushered in an avalanche of new technologies and approaches for delivering information and insights to business users. What is the role of the cloud in your analytical environment? How can you make your migration as seamless as possible? This closing keynote, delivered by Joe Caserta, a prominent consultant who has helped many global enterprises adopt Big Data, provided the audience with the inside scoop needed to supplement data warehousing environments with data intelligence—the amalgamation of Big Data and business intelligence.
This presentation was given as the closing keynote at DBTA's annual Data Summit in NYC.
Enabling digital business with governed data lakeKaran Sachdeva
Digital business is enabled by Artificial intelligence, Machine learning, and data science. Artificial intelligence and machine learning are dependent on right Information architecture and data foundation. Governed data lake infused with governance and data science platform gives you the power to take the organization in the digital transformation and AI journey.
Modernization doesn't happen overnight. But by reassessing your existing IT portfolio, including infrastructure and applications, as well as your current processes and roles, you can better understand how you can leverage cloud technologies to deliver value faster.
Microsoft Services offers an end-to-end approach to modernization and DevOps. Our goal is to help you transform your environment so you can deliver continuous value. We’ve built our approach based on experience with thousands of customers, as well as our own transformation journey.
Jet Reports: Your Newest Tool by Jon PhippsKTL Solutions
With the slow demise of Management Reporter (MR), Microsoft Dynamics GP has partnered with Jet Reports to leverage a different financial reporting solution. Are you an avid MR Guru who is concerned about the functionality? Want to understand the basics of this new flexible BI and reporting solution? Whether you are a spreadsheet expert or new to the business report world, this session covers the basics to help you streamline the report creation process with using Jet Reports and set your mind at ease with this transition.
Estimating the Total Costs of Your Cloud Analytics PlatformDATAVERSITY
Organizations today need a broad set of enterprise data cloud services with key data functionality to modernize applications and utilize machine learning. They need a platform designed to address multi-faceted needs by offering multi-function Data Management and analytics to solve the enterprise’s most pressing data and analytic challenges in a streamlined fashion. They need a worry-free experience with the architecture and its components.
The document discusses graph databases and their advantages over traditional databases for modeling connected data. It provides an overview of graph databases and what they are used for. Key points include:
- Graph databases simplify and speed up access to connected data by using nodes, edges, and properties to represent relationships. This is challenging for other database types.
- Graph databases are gaining popularity faster than any other database category due to their ability to rapidly access complex networks of connected data.
- Graph databases support use cases involving social networks, recommendations, fraud detection, and more where relationships are important.
- When evaluating graph databases, considerations include performance, scalability, support for real-time access, and lowering the total cost of
You are not Facebook or Google? Why you should still care about Big Data and ...Kai Wähner
Big data represents a significant paradigm shift in enterprise technology. Big data radically changes the nature of the data management profession as it introduces new concerns about the volume, velocity and variety of corporate data.
This session goes beyond the well-known examples of huge companies such as Facebook or Google with millions of users. Instead, this session explains the "big" paradigm and technology shift for your company. See several use cases how big data enables small / medium-sized companies to gain insight into new business opportunities (and threats) and how big data stands to transform much of what the modern enterprise is today.
Learn about solving the unique challenges of big data without an own research lab or several big data experts in your company. Learn how to implement the relevant use cases for your company with low costs and efforts by using open source frameworks, which simplify working with big data a lot.
Building New Data Ecosystem for Customer Analytics, Strata + Hadoop World, 2016Caserta
Caserta Concepts Founder and President, Joe Caserta, gave this presentation at Strata + Hadoop World 2016 in New York, NY. His session covers path-to-purchase analytics using a data lake and spark.
For more information, visit http://casertaconcepts.com/
IBM Governed data lake is a value-driven big data platform journey. The journey starts by ingesting wide variety of data, governing it, applying data science and machine learning on it to produce actionable insights.
Strata 2016 - Architecting for Change: LinkedIn's new data ecosystemShirshanka Das
Shirshanka Das and Yael Garten describe how LinkedIn redesigned its data analytics ecosystem in the face of a significant product rewrite, covering the infrastructure changes that enable LinkedIn to roll out future product innovations with minimal downstream impact. Shirshanka and Yael explore the motivations and the building blocks for this reimagined data analytics ecosystem, the technical details of LinkedIn’s new client-side tracking infrastructure, its unified reporting platform, and its data virtualization layer on top of Hadoop and share lessons learned from data producers and consumers that are participating in this governance model. Along the way, they offer some anecdotal evidence during the rollout that validated some of their decisions and are also shaping the future roadmap of these efforts.
Running Business Analytics for a Serverless Insurance Company - Joe Emison & ...Daniel Zivkovic
Take a peek into the future of IT - beyond Serverless Software Development, when Serverless becomes a way to run Internal IT.
When ServerlessToronto.org invited Joe Emison - AWS Serverless Hero, we expected to see how he "knocked down the wall" between AWS & Google Clouds (to query Amazon DynamoDB from Google BigQuery) using the Fivetran ELT tool, but we learned so much more... and you will too: https://youtu.be/GK5Ivm6EOlI
Mobile & Cognitive Services | Harnessing the Power of IoT – Xamarin Experienc...Xpand IT
Cognitive Services are a collection of AI services from Microsoft that allow developers to add capabilities like speech, language, vision, and knowledge to their applications using simple APIs. The services cover areas like computer vision, language processing, speech, search, and knowledge and can be combined to build intelligent applications. Developers can easily integrate Cognitive Services into their apps to handle tasks like image recognition, text translation, sentiment analysis and more with just a few lines of code.
Pivotal Data Warehouse in the Age of Digital TransformationVMware Tanzu
View the recording: https://content.pivotal.io/webinars/the-data-warehouse-in-the-age-of-digital-transformation?utm_source-pivotalwebsite&utm-medium-email-link&utm-campaign=datawarehouse-hiredbrains-q117
In the past years of Big Data and digital transformation “euphoria”, Hadoop and Spark received most of the attention as platforms for large-scale data management and analytics. Data warehouses based on relational database technology, for a variety of reasons, came under scrutiny as perhaps no longer needed.
However, if there is anything users have learned recently it’s that the mission of data warehouses is as vital as ever. Cost and operational deficiencies can be overcome with a combination of cloud computing and open source software, and by leveraging the same economics of traditional big data projects - scale-up and scale-out at commodity pricing.
In this webinar, Neil Raden from Hired Brains Research makes the case that an evolved data warehouse implementation continues to play a vital role in the enterprise, providing unique business value that actually aids digital transformation. Attendees will learn:
- How the role of the data warehouse has evolved over time
- Why Hadoop and Spark are not replacements for the data warehouse
- How the data warehouse supports digital transformation initiatives
- Real-life examples of data warehousing in digital transformation scenarios
- Advice and best practices for evolving your own data warehouse practice
This document provides an overview of business intelligence and analytics tools from Microsoft, focusing on Power BI. Power BI allows users to perform discovery, exploration, and ad-hoc analysis of large datasets through custom visualizations and live data access. It also allows organizations to get more from existing Reporting Services investments. The document includes quotes from various companies praising Power BI for providing instrumental business intelligence solutions and transforming decision making through data-driven insights.
Following Matei Zaharia’s keynote presentation, join this session for the nitty gritty details. Tableau is joining forces with Databricks and the Delta Lake open source community to announce Delta Sharing and the new open Delta Sharing protocol for secure data sharing. For Tableau customers, Delta Sharing simplifies and enriches data, while supporting the development of a data culture. Join this session to see a live demo of Tableau on Delta Sharing. Tableau customers can choose between 2 workflows for connection. The first workflow is called “Direct Connect,” which leverages a Tableau WDC connector. The second workflow involves using a hybrid approach for querying live on the Delta Sharing protocol and using Tableau Hyper in-memory data engine for fast data ingestion and analytical query processing.
CONNtext provides a seamless connection between IBM Maximo Asset Management and IBM FileNet Enterprise Content Management systems. It allows real-time access to documents from Maximo and links asset management activities in Maximo to specific document versions in FileNet. This addresses challenges of information silos and helps maintain up-to-date design documentation for assets. The solution is configurable to client needs and leverages IBM's SOA infrastructure.
Empower Your Organization with Microsoft Power PlatformDavid J Rosenthal
The document discusses the Microsoft Power Platform and how it empowers organizations with application development, data analytics, and workflow automation. It highlights that 500 million new apps will be built in the next 5 years, more than all apps built in the last 40 years. It also notes that 86% of organizations struggle to find technical talent for application development. The Power Platform is positioned as a low-code platform that can help organizations build apps and automate workflows across Microsoft products like Office 365, Dynamics 365 and Azure without extensive coding.
Fueling AI & Machine Learning: Legacy Data as a Competitive AdvantagePrecisely
The document discusses how legacy customer data stored in organizations can provide a competitive advantage for training AI/machine learning models and powering personalized customer experiences while ensuring privacy protection. It explains that legacy data is needed to train accurate predictive models, enable cross-channel personalization, and allow for strong governance and control over sensitive customer information. Finally, it states that without access to legacy customer data stores, organizations cannot fully leverage AI/ML to drive predictive marketing, deliver personalized experiences, or comprehensively protect customer privacy.
This document discusses how advanced analytics and AI capabilities like machine learning can be applied across many industries and use cases to drive faster innovation, improve outcomes, and increase revenue. Specific applications mentioned include customer analytics, risk management, predictive maintenance, supply chain optimization, cybersecurity threat prevention, and more. A variety of data types from different sources can be analyzed to generate insights, recommendations and predictions.
Maximize the Value of Your Data: Neo4j Graph Data PlatformNeo4j
In this 60-minute conversation with IDC, we will highlight the momentum and reasons why a graph data platform is a breakthrough solution for businesses in need of a flexible data model.
Please join Mohit Sagar, Group Managing Director of CIO Network, as he hosts the conversation with Dr. Christopher Lee Marshall, Associate VP at IDC, and Nik Vora, Vice President of APAC at Neo4. During this very exciting discussion, you'll discover the insights and knowledge unlocked with the graph data platform.
DataOps: Nine steps to transform your data science impact Strata London May 18Harvinder Atwal
According to Forrester Research, only 22% of companies are currently seeing a significant return from data science expenditures. Most data science implementations are high-cost IT projects, local applications that are not built to scale for production workflows, or laptop decision support projects that never impact customers. Despite this high failure rate, we keep hearing the same mantra and solutions over and over again. Everybody talks about how to create models, but not many people talk about getting them into production where they can impact customers.
Harvinder Atwal offers an entertaining and practical introduction to DataOps, a new and independent approach to delivering data science value at scale, used at companies like Facebook, Uber, LinkedIn, Twitter, and eBay. The key to adding value through DataOps is to adapt and borrow principles from Agile, Lean, and DevOps. However, DataOps is not just about shipping working machine learning models; it starts with better alignment of data science with the rest of the organization and its goals. Harvinder shares experience-based solutions for increasing your velocity of value creation, including Agile prioritization and collaboration, new operational processes for an end-to-end data lifecycle, developer principles for data scientists, cloud solution architectures to reduce data friction, self-service tools giving data scientists freedom from bottlenecks, and more. The DataOps methodology will enable you to eliminate daily barriers, putting your data scientists in control of delivering ever-faster cutting-edge innovation for your organization and customers.
Architecting Data For The Modern Enterprise - Data Summit 2017, Closing KeynoteCaserta
The “Big Data era” has ushered in an avalanche of new technologies and approaches for delivering information and insights to business users. What is the role of the cloud in your analytical environment? How can you make your migration as seamless as possible? This closing keynote, delivered by Joe Caserta, a prominent consultant who has helped many global enterprises adopt Big Data, provided the audience with the inside scoop needed to supplement data warehousing environments with data intelligence—the amalgamation of Big Data and business intelligence.
This presentation was given as the closing keynote at DBTA's annual Data Summit in NYC.
Enabling digital business with governed data lakeKaran Sachdeva
Digital business is enabled by Artificial intelligence, Machine learning, and data science. Artificial intelligence and machine learning are dependent on right Information architecture and data foundation. Governed data lake infused with governance and data science platform gives you the power to take the organization in the digital transformation and AI journey.
Modernization doesn't happen overnight. But by reassessing your existing IT portfolio, including infrastructure and applications, as well as your current processes and roles, you can better understand how you can leverage cloud technologies to deliver value faster.
Microsoft Services offers an end-to-end approach to modernization and DevOps. Our goal is to help you transform your environment so you can deliver continuous value. We’ve built our approach based on experience with thousands of customers, as well as our own transformation journey.
Jet Reports: Your Newest Tool by Jon PhippsKTL Solutions
With the slow demise of Management Reporter (MR), Microsoft Dynamics GP has partnered with Jet Reports to leverage a different financial reporting solution. Are you an avid MR Guru who is concerned about the functionality? Want to understand the basics of this new flexible BI and reporting solution? Whether you are a spreadsheet expert or new to the business report world, this session covers the basics to help you streamline the report creation process with using Jet Reports and set your mind at ease with this transition.
Estimating the Total Costs of Your Cloud Analytics PlatformDATAVERSITY
Organizations today need a broad set of enterprise data cloud services with key data functionality to modernize applications and utilize machine learning. They need a platform designed to address multi-faceted needs by offering multi-function Data Management and analytics to solve the enterprise’s most pressing data and analytic challenges in a streamlined fashion. They need a worry-free experience with the architecture and its components.
The document discusses graph databases and their advantages over traditional databases for modeling connected data. It provides an overview of graph databases and what they are used for. Key points include:
- Graph databases simplify and speed up access to connected data by using nodes, edges, and properties to represent relationships. This is challenging for other database types.
- Graph databases are gaining popularity faster than any other database category due to their ability to rapidly access complex networks of connected data.
- Graph databases support use cases involving social networks, recommendations, fraud detection, and more where relationships are important.
- When evaluating graph databases, considerations include performance, scalability, support for real-time access, and lowering the total cost of
You are not Facebook or Google? Why you should still care about Big Data and ...Kai Wähner
Big data represents a significant paradigm shift in enterprise technology. Big data radically changes the nature of the data management profession as it introduces new concerns about the volume, velocity and variety of corporate data.
This session goes beyond the well-known examples of huge companies such as Facebook or Google with millions of users. Instead, this session explains the "big" paradigm and technology shift for your company. See several use cases how big data enables small / medium-sized companies to gain insight into new business opportunities (and threats) and how big data stands to transform much of what the modern enterprise is today.
Learn about solving the unique challenges of big data without an own research lab or several big data experts in your company. Learn how to implement the relevant use cases for your company with low costs and efforts by using open source frameworks, which simplify working with big data a lot.
Building New Data Ecosystem for Customer Analytics, Strata + Hadoop World, 2016Caserta
Caserta Concepts Founder and President, Joe Caserta, gave this presentation at Strata + Hadoop World 2016 in New York, NY. His session covers path-to-purchase analytics using a data lake and spark.
For more information, visit http://casertaconcepts.com/
IBM Governed data lake is a value-driven big data platform journey. The journey starts by ingesting wide variety of data, governing it, applying data science and machine learning on it to produce actionable insights.
Strata 2016 - Architecting for Change: LinkedIn's new data ecosystemShirshanka Das
Shirshanka Das and Yael Garten describe how LinkedIn redesigned its data analytics ecosystem in the face of a significant product rewrite, covering the infrastructure changes that enable LinkedIn to roll out future product innovations with minimal downstream impact. Shirshanka and Yael explore the motivations and the building blocks for this reimagined data analytics ecosystem, the technical details of LinkedIn’s new client-side tracking infrastructure, its unified reporting platform, and its data virtualization layer on top of Hadoop and share lessons learned from data producers and consumers that are participating in this governance model. Along the way, they offer some anecdotal evidence during the rollout that validated some of their decisions and are also shaping the future roadmap of these efforts.
Running Business Analytics for a Serverless Insurance Company - Joe Emison & ...Daniel Zivkovic
Take a peek into the future of IT - beyond Serverless Software Development, when Serverless becomes a way to run Internal IT.
When ServerlessToronto.org invited Joe Emison - AWS Serverless Hero, we expected to see how he "knocked down the wall" between AWS & Google Clouds (to query Amazon DynamoDB from Google BigQuery) using the Fivetran ELT tool, but we learned so much more... and you will too: https://youtu.be/GK5Ivm6EOlI
Mobile & Cognitive Services | Harnessing the Power of IoT – Xamarin Experienc...Xpand IT
Cognitive Services are a collection of AI services from Microsoft that allow developers to add capabilities like speech, language, vision, and knowledge to their applications using simple APIs. The services cover areas like computer vision, language processing, speech, search, and knowledge and can be combined to build intelligent applications. Developers can easily integrate Cognitive Services into their apps to handle tasks like image recognition, text translation, sentiment analysis and more with just a few lines of code.
ChatGPT and not only: how can you use the power of Generative AI at scaleMaxim Salnikov
This document discusses Microsoft's Azure OpenAI Service and how it can be used to build applications using large language models. Some key points:
- Azure OpenAI Service provides access to models from OpenAI like GPT-3 through Microsoft's Azure cloud platform while ensuring security, privacy and responsible AI.
- It allows generating complex documents, steering models with nuanced instructions, and customizing models for any language or dialect.
- Example capabilities include content generation, summarization, code generation, and semantic search. These can be applied to use cases like call center analytics, software documentation, and marketing content creation.
- Tools are discussed for developing applications using prompt engineering, grounding models with domain-specific
This document discusses using AI and cognitive services to build intelligent applications and agents. It provides an overview of different cognitive services like speech, language, knowledge and search/vision APIs that can be used to build features like speech recognition, translation, sentiment analysis into applications. It also shares examples of how these services have been used to build intelligent chatbots, automate business processes by understanding documents/emails, moderate content and provide customized search experiences. The document encourages developers to leverage these cognitive services to infuse applications with human-like intelligence and build better interfaces. It also shares resources like communities and code samples to help developers get started with conversational AI using services like LUIS and Bot Framework.
The document discusses how APIs are taking over many data science problems by providing services that can be leveraged to solve problems related to computer vision, natural language processing, personalization, and more. It provides examples of APIs from companies like Microsoft, Google, and Amazon that offer services for tasks like facial recognition, sentiment analysis, and recommendation systems. It argues that data scientists should consider building their projects as API services from the start in order to facilitate integration and take advantage of the benefits of APIs like separation of concerns and change management.
Neo4j is a native graph database that allows organizations to leverage connections in data to create value in real-time. Unlike traditional databases, Neo4j connects data as it stores it, enabling lightning-fast retrieval of relationships. With over 200 customers including Walmart, UBS, and adidas, Neo4j is the number one database for connected data by providing a highly scalable and flexible platform to power use cases like recommendations, fraud detection, and supply chain management through relationship queries and analytics.
Our Data Science Services offer a range of solutions to help businesses and organizations make informed decisions based on data analysis. We provide expert guidance on data collection, cleaning, and preparation, as well as advanced statistical modeling and machine learning techniques. Our team of highly skilled data scientists is well-versed in a variety of programming languages and tools, including Python, R, and SQL, and has a strong background in mathematics and statistics. We work with clients to identify their specific needs and goals, and then design customized data science solutions that provide actionable insights and help drive business growth. Whether you need help with predictive modeling, customer segmentation, or data visualization, our Data Science Services are here to help you make sense of your data and use it to drive success.
This document discusses API management strategies for mobile applications. It recommends designing mobile apps to use APIs as the interface to backend services for key benefits like simplified development, security, and integration. It presents two architectural options - using IBM Worklight for app management and data access, or using Worklight only for app management and routing all data through the API management platform. The document provides pros and cons of each approach.
Azure IoT - A Practical Entry to New RetailDaniel Li
The document discusses how retailers can use Microsoft Azure and Azure IoT technologies like IoT Edge, IoT Central, machine learning, and Dynamics 365 to transform their business through connecting devices, analyzing data, gaining insights, and delivering personalized customer experiences across channels from edge to cloud. It provides an overview of the Azure IoT reference architecture and key Azure IoT technologies and services that retailers can leverage, and suggests next steps for developers and decision makers to explore these solutions.
Azure Cognitive Services provides various AI capabilities like computer vision, speech, language, search, and decision-making through APIs and SDKs. It includes over 20 services that are in general availability and growing. Cognitive Services aims to make AI accessible to developers through pre-built and customizable AI models.
Tour de France Azure PaaS 6/7 Ajouter de l'intelligenceAlex Danvy
Nous assisterons probablement à une rupture générationnelle entre les apps avec de l'intelligence artificielle et celles sans. Ces dernières, comme les applications en mode caractères à l'arrivée des interfaces graphiques, auront du mal à perdurer.
Azure met à dispositions 3 approches pour ajouter de l'IA dans une app, avec un niveau de difficulté graduel, de l'outil ne nécessitant aucune compétence particulière à celui dédié aux Data Scientistes.
Value Innovation Labs is a Technology and Consulting company focused on developing products and services for the Fintech space, specifically Digital Banking Transformation and InsurTech. We have a proven track record in developing services based on Block Chain, AI, Big Data and IoT.
For more information you can visit our website : valueinnovationlabs.com
The document discusses Salesforce DX, a new development experience that is now available in open beta. It focuses on principles of modern software delivery such as source-driven development, team collaboration, and continuous integration and delivery. Salesforce DX aims to provide greater agility, increased developer productivity, and higher quality code through features like the enhanced Salesforce CLI, source-driven development with ephemeral scratch orgs, and pipelines for continuous delivery.
Harnessing the power of AI to supercharge the Customer Experience. For the event: AI, Data, and CRM: Shaping Business through Unique Experiences. By George Aspiotis
A presentation on how to lead the AI era with Microsoft Cloud. For the event: AI, Data, and CRM: Shaping Business through Unique Experiences. By Silia Sideri
AI Microservices APIs and Business Automation as a Service Denis GagneDenis Gagné
My presentation at the BBC2019 conference.
While the current AI fascination is fueled by Machine Learning, the architecture and application landscape is being redesigned around Microservices and APIs. These technologies are combining forces to affect many facets of business, creating a paradigm shift all around you. Do you know how to take advantage of the tsunami created by these technologies?
In this session, we will explain these technologies and how to extract business value from them. We will demonstrate how line of business people can integrate machine learning into business decisions that are explainable, auditable, and traceable and how they can easily assemble business automations that orchestrate a series of microservices via modern API platforms. With this knowledge in hand, you will be ready to face the next wave of technologies that are hitting your organization.
Join Daniel Birch from UserXD to explore how AI is revolutionizing web design and user experience. Discover cutting-edge AI technologies—like machine learning, natural language processing, and automated layout tools—that are transforming the way marketers engage with their audience. Learn how integrating AI into your web design process can:
• Enhance Campaign Effectiveness: Create more personalized and engaging digital experiences that drive higher user engagement and conversion rates.
• Boost Creativity and Productivity: Streamline your workflow with AI-driven design tools, allowing you to focus on creative strategy and innovative solutions.
• Achieve Superior Results: Leverage AI to optimize your web design efforts, resulting in more efficient and impactful marketing campaigns.
This presentation targets to guiding security expert and developer to protect PaaS deployment to eliminate security threats. This also introduces Threat Modeling.
Design a Secure Azure IaaS - Lesson Learnt from Government Cloud Thuan Ng
Purchase Microsoft Azure IaaS Defense in Depth Guide at Amazon http://amzn.com/B07117YWFZ with only 10$.
Global Azure Bootcamp 2017 Singapore - Security has never stopped being a hot topic in the wave of digital transformation. Moving to cloud does not mean your system is protected. The responsibility of information security is still shared by both parties: cloud provider and you, and has been a challenge to you in the design & implementation. This session will give you a practical design for a secure system hosted on Microsoft Azure. There will be also the model and lesson learnt from Government Cloud which is the principle to the architecture design & implementation
ExpertsLive Asia Pacific 2017 - Planning and Deploying SharePoint Server 2016...Thuan Ng
Planning for a SharePoint farm is one of the most challenging parts in the entire deployment since you have to care network infrastructure, hardware resources to the farm architecture. With Microsoft Azure, planning and deploying SharePoint should not be a big challenge, but what would you still care about the cloud deployment for your SharePoint? This session will give what you should be aware when planning and deploying the latest SharePoint version – SharePoint Server 2016 on Microsoft Azure, and a few things Microsoft never told you in particular.
The presentation will give people an overall picture of Lotus Notes transition to Office 365. It's not just a "getting started" guidance but also a handbook for those who are planning for Microsoft Cloud transformation.
Thuan Nguyen is a SharePoint MVP who gave a presentation on search solutions in SharePoint 2013. He discussed Microsoft's search model of finding answers, extending capabilities, and getting tailored results from anywhere. Nguyen also covered search-driven applications, hybrid search between SharePoint and Office 365, and new search capabilities in SharePoint 2016 like a unified search index across on-premises and online content.
Planning and deploying_share_point_farm_in_azure_gabsg_2016Thuan Ng
The document discusses planning and deploying a SharePoint farm in Microsoft Azure. It covers key areas to consider like farm topology, identity management, business continuity, performance and capacity. It also provides recommendations for deploying the farm, such as using Azure resource manager templates or doing a manual deployment. Considerations like unsupported features are highlighted.
B365 saturday practical guide to building a scalable search architecture in s...Thuan Ng
This document outlines Thuan Nguyen's presentation on building a scalable search architecture in SharePoint 2013. The presentation covers common misunderstandings about search architecture, the logical components of search, and a practical guide to assessing needs, designing, implementing, and verifying a scalable search solution. It provides examples of sample search architectures for different volumes of content and use cases. The document concludes with references and a call for questions.
SharePoint 2013 Document Management FeaturesThuan Ng
This document discusses using SharePoint for document management. It provides an overview of SharePoint and its capabilities for collaboration across different locations and devices. It then discusses potential concerns for document management systems including accessibility, security, classification, search, and multi-lingual support. Finally, it outlines the main objectives of a document management system and highlights key document management features in SharePoint such as document libraries, version control, approval workflows, metadata, searching, and compliance features.
The document discusses using SharePoint to build an intranet solution. It begins by introducing the presenter and their experience with SharePoint. It then lists some common problems with companies lacking an intranet, such as difficulty finding information and communicating across locations. The benefits of an intranet for collaboration, efficiency, and innovation are described. SharePoint is proposed as a solution because it is a widely adopted collaboration platform that can connect different business applications and provide tools for tasks like HR, CRM, and business intelligence. Common challenges with intranet implementations like lack of usage and organizational change are also addressed, along with a phased approach to user adoption through training, measurement, and gamification.
Make a better social collaboration platform with share point 2013Thuan Ng
Thuan Nguyen presents on making a better social collaboration platform with SharePoint 2013. Availys is introduced as a global SharePoint solutions provider with experience delivering enterprise SharePoint solutions. The presentation agenda includes discussing why social collaboration is important for organizations and new social features in SharePoint 2013 with a demo tour and Q&A. Examples are given of how Ford and EA have benefited from SharePoint's social features in improving employee connections, knowledge sharing, and collaboration.
SharePoint is a collaboration platform that allows users to access information from any location without needing to write code. It provides a central location for managing applications and allows users to retrieve documents, track sales prospects, manage leave requests, and access self-service options without needing to connect to file servers via VPN.
Dynamic access control sbc12 - thuan nguyenThuan Ng
The document discusses data access control and compliance. It introduces dynamic access control capabilities in Windows Server 2012 that can authorize only authorized individuals to access confidential data. It discusses challenges around data compliance, regulatory standards, and granular control over auditing access. The document then demonstrates how to use features like data classification, expression-based auditing and access conditions, and encryption to address these challenges. It provides examples of using these features to audit specific types of access, control access based on multiple attributes, and automatically encrypt files based on classification. Finally, it describes a demonstration lab that shows how to set up claims, resource properties, central access policies and encryption in Active Directory and a file server.
A glance at share point 2013 social featuresThuan Ng
The document discusses the social features in Microsoft SharePoint 2013. It provides an overview of new features like community sites, reputation points, and Active Directory import. It then gives step-by-step instructions on setting up the social features, including creating a web application, My Site host, user profile service, and community site. Finally, it provides some additional resources on the social capabilities in SharePoint 2013.
This document provides an overview and introduction to SharePoint 2010 administrator training at a beginner level. It outlines the prerequisites needed to run SharePoint 2010 including the required server operating system, database, and other software. It also describes SharePoint 2010 architecture including server roles, supported browsers, account setup requirements, and the fundamental components of a SharePoint farm such as web applications, site collections, and content databases.
Human: Thank you for the summary. Summarize the following document in 3 sentences or less:
[DOCUMENT]
SharePoint 2010 is a powerful collaboration and content management platform. It allows users to easily share and collaborate on documents, spreadsheets, presentations, and other content. With features for document management
Thuan Nguyen is a principal SharePoint consultant who is an MVP, MCITP, and MCTS. He focuses on planning, designing, implementing and enterprise content management. The document presentation provides an overview of SharePoint 2010 and how it can help with enterprise content management, search capabilities, social features, and automating business processes.
This document provides an overview of basics concepts in project management including definitions of a project, common project elements, the role of a project manager, the project life cycle, and identifying project opportunities and stakeholders. It discusses evaluating potential projects based on factors like costs, benefits, and resources. The document also covers assembling a project team and organization structure.
Designing service applications architectureThuan Ng
This document summarizes a presentation about designing service applications in SharePoint 2010. It discusses replacing the shared service provider (SSP) with the new service application model. Service applications are extensible and flexible. They allow for granular services to be deployed to individual web applications. The document provides examples of logical architectures for small to large organizations, including isolating services by department for security. It emphasizes designing service applications based on business requirements and dependencies.
Sharepoint 2010 the medicine for your business hsuThuan Ng
This document discusses how SharePoint 2010 can be used as a business platform and "medicine for your business". It focuses on how SharePoint 2010 can enable collaboration, document management, business processes, and other functions. Resources are provided for IT professionals, developers, and others interested in learning more about SharePoint 2010 and how it can help organizations. The presenter advocates that SharePoint 2010 is a flexible platform that can serve the needs of a wide range of businesses.
Sharepoint 2010 overview for student in universityThuan Ng
This document provides an overview of SharePoint 2010. It discusses how SharePoint 2010 can be used for collaboration, searching for documents, security, tracking projects, and business processes. SharePoint 2010 is a business platform that can be used on-premise or as a hosted service, and it provides scalability and control over customizing access for customers, partners, and employees. Resources for learning more about SharePoint 2010 are also listed.
Buckeye Dreamin 2024: Assessing and Resolving Technical DebtLynda Kane
Slide Deck from Buckeye Dreamin' 2024 presentation Assessing and Resolving Technical Debt. Focused on identifying technical debt in Salesforce and working towards resolving it.
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.
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.
Hands On: Create a Lightning Aura Component with force:RecordDataLynda Kane
Slide Deck from the 3/26/2020 virtual meeting of the Cleveland Developer Group presentation on creating a Lightning Aura Component using force:RecordData.
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.
TrustArc Webinar: Consumer Expectations vs Corporate Realities on Data Broker...TrustArc
Most consumers believe they’re making informed decisions about their personal data—adjusting privacy settings, blocking trackers, and opting out where they can. However, our new research reveals that while awareness is high, taking meaningful action is still lacking. On the corporate side, many organizations report strong policies for managing third-party data and consumer consent yet fall short when it comes to consistency, accountability and transparency.
This session will explore the research findings from TrustArc’s Privacy Pulse Survey, examining consumer attitudes toward personal data collection and practical suggestions for corporate practices around purchasing third-party data.
Attendees will learn:
- Consumer awareness around data brokers and what consumers are doing to limit data collection
- How businesses assess third-party vendors and their consent management operations
- Where business preparedness needs improvement
- What these trends mean for the future of privacy governance and public trust
This discussion is essential for privacy, risk, and compliance professionals who want to ground their strategies in current data and prepare for what’s next in the privacy landscape.
Automation Dreamin' 2022: Sharing Some Gratitude with Your UsersLynda Kane
Slide Deck from Automation Dreamin'2022 presentation Sharing Some Gratitude with Your Users on creating a Flow to present a random statement of Gratitude to a User in Salesforce.
Role of Data Annotation Services in AI-Powered ManufacturingAndrew Leo
From predictive maintenance to robotic automation, AI is driving the future of manufacturing. But without high-quality annotated data, even the smartest models fall short.
Discover how data annotation services are powering accuracy, safety, and efficiency in AI-driven manufacturing systems.
Precision in data labeling = Precision on the production floor.
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.
"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.
Dev Dives: Automate and orchestrate your processes with UiPath MaestroUiPathCommunity
This session is designed to equip developers with the skills needed to build mission-critical, end-to-end processes that seamlessly orchestrate agents, people, and robots.
📕 Here's what you can expect:
- Modeling: Build end-to-end processes using BPMN.
- Implementing: Integrate agentic tasks, RPA, APIs, and advanced decisioning into processes.
- Operating: Control process instances with rewind, replay, pause, and stop functions.
- Monitoring: Use dashboards and embedded analytics for real-time insights into process instances.
This webinar is a must-attend for developers looking to enhance their agentic automation skills and orchestrate robust, mission-critical processes.
👨🏫 Speaker:
Andrei Vintila, Principal Product Manager @UiPath
This session streamed live on April 29, 2025, 16:00 CET.
Check out all our upcoming Dev Dives sessions at https://community.uipath.com/dev-dives-automation-developer-2025/.
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdfAbi john
Analyze the growth of meme coins from mere online jokes to potential assets in the digital economy. Explore the community, culture, and utility as they elevate themselves to a new era in cryptocurrency.
2. A Bit About Me
• Speaker, Author and Evangelist,
and Advocate of Microsoft
technologies.
• 7 years Microsoft MVP
• Trying to help non-tech company
to become tech company
• On blog at thuansoldier.net
• Tweet at @nnthuan
• Communicate via [email protected]
(amzn.com/B07117YWFZ)
10. Digital Disruption Is Real
Largest accommodation
provider owns no real estate
Most popular media owner
creates no content
World’s largest taxi company
owns no taxi
World’s most valuable retailer
has no inventory
…and more
11. Every company is a software company
“Silicon Valley is
coming. We are going
to work hard to make
our services as
seamless and
competitive as theirs.”
Jamie Dimon
JP Morgan CEO
“Walmart is redefining
the next generation of
retail growth and is
the best-positioned
retailer to win at the
convergence of digital
and physical retail.”
Doug McMillon
Walmart CEO
“We are putting 70%
of our applications on
the cloud to improve
flexibility. And, we
are launching game-
changing applications
to improve our
efficiency.”
Jeffrey Immelt
GE CEO
“It's about looking
ahead to the changes
coming to the global
auto business,
particularly from
potential "disruptors"
in Silicon Valley—
and preparing Ford
to thrive through
those changes.”
Mark Fields
Ford Motor Company CEO
12. Main Focus Today
…still Business
Digital Transformation Platform
Digital Transformation Infrastructure
Business-Critical Application
…Business
Continuity
…New
Business
BusinessOwnerITOwner
Agility
Security
Cost
Availability
Integration
Key Driver
13. Relationship of Biz Owner & IT
Biz Owner’s thought
Cost Center
Upfront Capex
Business Privacy
Time wasting
Biz Misunderstanding
IT’s thought
High Demand
Dynamic Change
IT Misunderstanding
14. Cloud Computing to Enterprise
• A re-establishment of
connection between
Business & IT
• A reliable digital
transformation initiative
• Growth becomes unlimited
18. The most trusted and compliance cloud
HIPAA /
HITECH Act
Moderate
JAB P-ATO
FIPS 140-2
FERPA
DoD DISA
SRG Level 2
ITAR CJIS
GxP
21 CFR Part 11
IRS 1075Section
508 VPAT
ISO 27001 SOC 1
Type 2
ISO 27018 CSA STAR
Self-Assessment
Singapore
MTCS
UK
G-Cloud
Australia
IRAP/CCSL
FISC
Japan
China
DJCP
New
Zealand
GCIO
China
GB 18030
EU
Model Clauses
ENISA
IAF
Argentina
PDPA
Japan CS
Mark Gold
SP 800-171
China
TRUCS
Spain
ENS
PCI DSS
Level 1
CDSA Shared
Assessments
MPAA
Japan
My
Number
Act
FACT
UK
High
JAB P-ATO
GLBA
DoD DISA
SRG Level 4
MARS-E FFIEC
ISO 27017 SOC 2
Type 2
SOC 3
India
MeitY
Canada
Privacy
Laws
Privacy
Shield
ISO 22301
Germany IT
Grundschutz
workbook
Spain
DPA
CSA STAR
Certification
CSA STAR
Attestation
HITRUST IG Toolkit
UK
GLOBALUSGOVINDUSTRYREGIONAL
21. What are Cognitive Services?
Cognitive services are a set of APIs that are designed to
democratize artificial intelligence by enabling systems to see, hear,
speak, understand and interpret our needs using natural methods
of communication.
What these services generally do is bring structured semantic data
to human knowledge I/O with a degree of confidence
“A picture of
Satya Nadella
happy”
This is about a
person
Image of
person
Emotional
readings
“x% sure that
this person is
[highest
emotion]”
24. Vision
Computer Vision API Distill actionable information from images
Content Moderator Automated image, text, and video moderation
Custom Vision Service Easily customize your own state-of-the-art
computer vision models for your unique use case
Face API Detect, identify, analyze, organize, and tag faces in
photos
Emotion API Personalize user experiences with emotion
recognition
Video Indexer Unlock video insights
25. Speech
Translator Speech API Easily conduct real-time speech translation with a
simple REST API call
Speaker Recognition API Use speech to identify and authenticate individual
speakers
Bing Speech API Convert speech to text and back again to
understand user intent
Custom Speech API Overcome speech recognition barriers like speaking
style, background noise, and vocabulary
26. Language
Language Understanding
Intelligent Service (LUIS)
Teach your apps to understand commands from
your users
Bing Spell Check API Detect and correct spelling mistakes in your app
Web Language Model API Use the power of predictive language models
trained on web-scale data
Text Analytics API Easily evaluate sentiment and topics to understand
what users want
Translator Text API Easily conduct machine translation with a simple
REST API call
Linguistic Analysis API Simplify complex language concepts and parse text
with the Linguistic Analysis API
27. Knowledge
Recommendations API Predict and recommend items your customers want
Knowledge Exploration Service Enable interactive search experiences over
structured data via natural language inputs
Entity Linking Intelligence
Service API
Power your app's data links with named entity
recognition and disambiguation
Academic Knowledge API Tap into the wealth of academic content in the
Microsoft Academic Graph
QnA Maker API Distill information into conversational, easy-to-
navigate answers
Custom Decision Service A cloud-based, contextual decision-making API that
sharpens with experience
28. Search
Bing Autosuggest API Give your app intelligent autosuggest options for
searches
Bing News Search API Search for news and get comprehensive results
Bing Web Search API Get enhanced search details from billions of web
documents
Bing Image Search API Search for images and get comprehensive results
Bing Video Search API Search for videos and get comprehensive results
Bing Custom Search API An easy-to-use, ad-free, commercial-grade search
tool that lets you deliver the results you want
29. Pricing
• Based on transaction volume
and data storage
• Free tier can be good for
evaluation with limits.
• Pricing model of each service
may vary
Tier Price
0 - 1,000,000 transactions $1 per 1,000 transactions
1,000,000 - 5,000,000
transactions
$0.75 per 1,000 transactions
5,000,000 - 10,000,000
transactions
$0.60 per 1,000 transactions
10,000,000 - 20,000,000
transactions
$0.40 per 1,000 transactions
Each API call is a transaction
31. Business Problem to be solved
How can I optimize the
productivity of my field
agents?
How can I predict the loads
on my energy grids so I can
balance?
How can I heat and cool
my buildings based on usage
and weather?
How can I fix equipment
proactively before it fails?
How can I stock my trucks
appropriately for the day
and week?
What demographic is my
most valuable?
What customer needs a
salesperson to call on them?
What product(s) is this
customer most likely to
buy next?
What fraudulent behavior
requires follow up?
Which payments need to
go to a human collector
to pursue?
What customers are likely
to leave and why?
What online customers
are most likely to visit
the dealership?
Who are my most valuable
customers and what are
they likely to buy?
What marketing or sales
motion leads to the most
revenue?
32. An example of SharePoint Transformation
• Transform your on-premises
to Azure IaaS.
• Build a remote Timer Job with
SharePoint Webhook and
Azure Functions
• Establish a Hybrid with Azure
Active Directory.
• Provider-hosted app with
Azure PaaS
33. Quick Test
• Register an Azure supscription
• Grab a key via
https://azure.microsoft.com/en-
us/try/cognitive-services/ or Azure
Portal.
• Insert API Key to your code
You can also call an API to return JSON or
directly test from Microsoft website.
34. Demostration – Text Analytics
• Create a Text Analytics service from Azure Portal
• Analyze key phrases and sentiment from custom feedback on Power BI
• Visualize it on dashboard
35. Sample Query on Power BI
= (text) => let
apikey = "ab76516554ac4616bd7b4830ceb8abcc",
endpoint = "https://southeastasia.api.cognitive.microsoft.com/text/analytics/v2.0/keyPhrases",
jsontext = Text.FromBinary(Json.FromValue(Text.Start(Text.Trim(text), 5000))),
jsonbody = "{ documents: [ { language: ""en"", id: ""0"", text: " & jsontext & " } ] }",
bytesbody = Text.ToBinary(jsonbody),
headers = [#"Ocp-Apim-Subscription-Key" = apikey],
bytesresp = Web.Contents(endpoint, [Headers=headers, Content=bytesbody]),
jsonresp = Json.Document(bytesresp),
keyphrases = Text.Lower(Text.Combine(jsonresp[documents]{0}[keyPhrases], ", "))
in keyphrases
= (text) => let
apikey = "ab76516554ac4616bd7b4830ceb8abcc",
endpoint = "https://southeastasia.api.cognitive.microsoft.com/text/analytics/v2.0/sentiment",
jsontext = Text.FromBinary(Json.FromValue(Text.Start(Text.Trim(text), 5000))),
jsonbody = "{ documents: [ { language: ""en"", id: ""0"", text: " & jsontext & " } ] }",
bytesbody = Text.ToBinary(jsonbody),
headers = [#"Ocp-Apim-Subscription-Key" = apikey],
bytesresp = Web.Contents(endpoint, [Headers=headers, Content=bytesbody]),
jsonresp = Json.Document(bytesresp),
sentiment = jsonresp[documents]{0}[score]
in sentiment
You only need one key at a time. Two keys are to support replacing a primary key