John Thompson joins me to chat about his upcoming book, The Path to AGI, his book writing process, and much more.

John Thompson LinkedIn: https://www.linkedin.com/in/johnkthompson/

By now, many of us are convinced that generative AI chatbots like ChatGPT are useful at work. However, many executives are rightfully worried about the risks from having business and customer conversations recorded by AI chatbot platforms. Some privacy and security-conscious organizations are going so far as to block these AI platforms completely. For organizations such as EY, a company that derives value from its intellectual property, leaders need to strike a balance between privacy and productivity.  John Thompson runs the department for the ideation, design, development, implementation, & use of innovative Generative AI, Traditional AI, & Causal AI solutions, across all of EY's service lines, operating functions, geographies, & for EY's clients. His team has built the world's largest, secure, private LLM-based chat environment. John also runs the Marketing Sciences consultancy, advising clients on monetization strategies for data. He is the author of four books on data, including "Data for All' and "Causal Artificial Intelligence". Previously, he was the Global Head of AI at CSL Behring, an Adjunct Professor at Lake Forest Graduate School of Management, and an Executive Partner at Gartner. In the episode, Richie and John explore the adoption of GenAI at EY, data privacy and security, GenAI use cases and productivity improvements, GenAI for decision making, causal AI and synthetic data, industry trends and predictions and much more.  Links Mentioned in the Show: Azure OpenAICausality by Judea Pearl[Course] AI EthicsRelated Episode: Data & AI at Tesco with Venkat Raghavan, Director of Analytics and Science at TescoCatch John talking about AI Maturity this SeptemberRewatch sessions from RADAR: AI Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

This IBM Redbooks® publication presents an overview of the IBM Geographically Dispersed Parallel Sysplex® (IBM GDPS®) offerings and the roles they play in delivering a business IT resilience solution. The book begins with general concepts of business IT resilience and disaster recovery (DR), along with issues that are related to high application availability, data integrity, and performance. These topics are considered within the framework of government regulation, increasing application and infrastructure complexity, and the competitive and rapidly changing modern business environment. Next, it describes the GDPS family of offerings with specific reference to how they can help you achieve your defined goals for high availability and disaster recovery (HADR). Also covered are the features that simplify and enhance data replication activities, the prerequisites for implementing each offering, and tips for planning for the future and immediate business requirements. Tables provide easy-to-use summaries and comparisons of the offerings. The extra planning and implementation services available from IBM® also are explained. Then, several practical client scenarios and requirements are described, along with the most suitable GDPS solution for each case. The introductory chapters of this publication are intended for a broad technical audience, including IT System Architects, Availability Managers, Technical IT Managers, Operations Managers, System Programmers, and Disaster Recovery Planners. The subsequent chapters provide more technical details about the GDPS offerings, and each can be read independently for those readers who are interested in specific topics. Therefore, if you read all of the chapters, be aware that some information is intentionally repeated.

Every day, like invisible breadcrumbs, we leave trails of personal data scattered across the digital landscape. Each click, every search, every purchase - they all tell a story about us. But do we know where these breadcrumbs lead? Who's picking them up? And most importantly, what are they doing with them? In an era where data is documenting our lives across a host of platforms, understanding these trails and their implications is no longer a luxury but rather, a necessity. It's about our privacy, our rights, and our well-being in an increasingly interconnected world. In this episode of Leaders of Analytics John Thompson and I dive into his newly released book that should be on everyone's reading list - "Data for All". During our discussion, we'll delve into the eye-opening insights Thompson shares in his book, such as understanding the scope and consequences of companies manipulating and exploiting your data. We also explore the step-by-step guide he provides on how to navigate this changing landscape.

Data science and analytics teams are unique. Large and small corporations want to build and manage analytics teams to convert their data and analytic assets into revenue and competitive advantage, but many are failing before they make their first hire. In this session, the audience will learn how to structure, hire, manage and grow an analytics team. Organizational structure, project and program portfolios, neurodiversity, developing talent, and more will be discussed.

Questions and discussion will be encouraged and engaged in. The audience will leave with a deeper understanding of how to succeed in turning data and analytics into tangible results.

Talk by: John Thompson

Here’s more to explore: State of Data + AI Report: https://dbricks.co/44i2HBp The Data Team's Guide to the Databricks Lakehouse Platform: https://dbricks.co/46nuDpI

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc

It’s no secret that data and analytics can be used to create a competitive advantage for almost any modern business. In fact, the customer data you capture in the course of doing business is one of the strongest differentiators between you and the competition. So, how do we build an organisation that is capable of both producing and consuming truly differentiating data products? It’s not enough to just have a great analytics team that is capable of producing high quality work. We also need an organisation that is able to consume this output, however advanced it might be. Back by popular demand, analytics executive and author of ‘Building Analytics Teams’ John Thompson is returning to Leaders of Analytics to talk about the future of analytics leadership. In this episode, we discuss: Where analytics teams should sit in the organisational structureThe typical mistakes businesses make when designing analytics teams and embedding them in the organisationHow we plant the seed of advanced analytics and build a data-driven cultureHow we select and prioritise the right data and analytics projects to work onThe main purpose and remit of a Chief Data & Analytics OfficerWhat the perfect data-driven organisation looks like, and much more.John on LinkedIn: https://www.linkedin.com/in/johnkthompson/ John's book 'Building Analytics Teams': https://www.packtpub.com/product/building-analytics-teams/9781800203167 Defensive vs. offensive data & analytics: https://hbr.org/2017/05/whats-your-data-strategy

Modern analytics teams are central business functions directly and indirectly responsible for increasing revenue, reducing costs, optimising processes and improving customer and employee satisfaction. But there are many obstacles along the way. Data needs collecting, projects need careful design and execution and stakeholders need convincing. Analytics teams are required to cover a wide range of technical knowledge, business acumen and leadership skills to be impactful. What is the recipe for creating analytics teams that deliver impactful solutions and drive real business value? What are the technical, interpersonal and leadership skills required to lead the business through change and adoption of analytics? To answer these questions, and many more relating to the art and science of building excellent analytics functions, I recently spoke to John K. Thompson. John is an international data and technology executive with over 30 years of experience in business intelligence and advanced analytics and author of the best-seller ‘Building Analytics Teams’. In this episode of Leaders of Analytics, we discuss: The hallmarks of an excellent analytics teamWhat a perfect analytics team looks likeThe skills, personality traits and behaviours you need in an analytics teamThe common traits of highly effective analytics leadersHow analytics leaders set themselves up to meet the expectations of business stakeholdersHow to select and prioritise the right projects to work onWhere organisations typically fail when designing analytics teamsThe lowdown on John’s upcoming book, and much more.John on LinkedIn: https://www.linkedin.com/in/johnkthompson/ John's book 'Building Analytics Teams': https://www.packtpub.com/product/building-analytics-teams/9781800203167

This IBM® Redbooks® publication presents an overview of the IBM Geographically Dispersed Parallel Sysplex® (IBM GDPS®) offerings and the roles they play in delivering a business IT resilience solution. The book begins with general concepts of business IT resilience and disaster recovery, along with issues related to high application availability, data integrity, and performance. These topics are considered within the framework of government regulation, increasing application and infrastructure complexity, and the competitive and rapidly changing modern business environment. Next, it describes the GDPS family of offerings with specific reference to how they can help you achieve your defined goals for disaster recovery and high availability. Also covered are the features that simplify and enhance data replication activities, the prerequisites for implementing each offering, and tips for planning for the future and immediate business requirements. Tables provide easy-to-use summaries and comparisons of the offerings. The extra planning and implementation services available from IBM also are explained. Then, several practical client scenarios and requirements are described, along with the most suitable GDPS solution for each case. The introductory chapters of this publication are intended for a broad technical audience, including IT System Architects, Availability Managers, Technical IT Managers, Operations Managers, System Programmers, and Disaster Recovery Planners. The subsequent chapters provide more technical details about the GDPS offerings, and each can be read independently for those readers who are interested in specific topics. Therefore, if you read all of the chapters, be aware that some information is intentionally repeated.

Abstract This IBM® Redbooks® publication presents an overview of the IBM Geographically Dispersed Parallel Sysplex™ (IBM GDPS®) offerings and the roles they play in delivering a business IT resilience solution. The book begins with general concepts of business IT resilience and disaster recovery, along with issues related to high application availability, data integrity, and performance. These topics are considered within the framework of government regulation, increasing application and infrastructure complexity, and the competitive and rapidly changing modern business environment. Next, it describes the GDPS family of offerings with specific reference to how they can help you achieve your defined goals for disaster recovery and high availability. Also covered are the features that simplify and enhance data replication activities, the prerequisites for implementing each offering, and tips for planning for the future and immediate business requirements. Tables provide easy-to-use summaries and comparisons of the offerings, and the additional planning and implementation services available from IBM are explained. Then, several practical client scenarios and requirements are described, along with the most suitable GDPS solution for each case. The introductory chapters of this publication are intended for a broad technical audience, including IT System Architects, Availability Managers, Technical IT Managers, Operations Managers, System Programmers, and Disaster Recovery Planners. The subsequent chapters provide more technical details about the GDPS offerings, and each can be read independently for those readers who are interested in specific topics. Therefore, if you do read all the chapters, be aware that some information is intentionally repeated.

This IBM® Redbooks® publication presents an overview of the IBM Geographically Dispersed Parallel Sysplex™ (IBM GDPS®) offerings and the roles they play in delivering a business IT resilience solution. The book begins with general concepts of business IT resilience and disaster recovery, along with issues related to high application availability, data integrity, and performance. These topics are considered within the framework of government regulation, increasing application and infrastructure complexity, and the competitive and rapidly changing modern business environment. Next, it describes the GDPS family of offerings with specific reference to how they can help you achieve your defined goals for disaster recovery and high availability. Also covered are the features that simplify and enhance data replication activities, the prerequisites for implementing each offering, and tips for planning for the future and immediate business requirements. Tables provide easy-to-use summaries and comparisons of the offerings, and the additional planning and implementation services available from IBM are explained. Then, several practical client scenarios and requirements are described, along with the most suitable GDPS solution for each case. The introductory chapters of this publication are intended for a broad technical audience, including IT System Architects, Availability Managers, Technical IT Managers, Operations Managers, System Programmers, and Disaster Recovery Planners. The subsequent chapters provide more technical details about the GDPS offerings, and each can be read independently for those readers who are interested in specific topics. Therefore, if you do read all the chapters, be aware that some information is intentionally repeated.

This IBM® Redbooks® publication presents an overview of the IBM Geographically Dispersed Parallel Sysplex™ (IBM GDPS®) offerings and the roles they play in delivering a business IT resilience solution. The book begins with general concepts of business IT resilience and disaster recovery, along with issues related to high application availability, data integrity, and performance. These topics are considered within the framework of government regulation, increasing application and infrastructure complexity, and the competitive and rapidly changing modern business environment. Next, it describes the GDPS family of offerings with specific reference to how they can help you achieve your defined goals for disaster recovery and high availability. Also covered are the features that simplify and enhance data replication activities, the prerequisites for implementing each offering, and tips for planning for the future and immediate business requirements. Tables provide easy-to-use summaries and comparisons of the offerings, and the additional planning and implementation services available from IBM are explained. Then, several practical client scenarios and requirements are described, along with the most suitable GDPS solution for each case. The introductory chapters of this publication are intended for a broad technical audience, including IT System Architects, Availability Managers, Technical IT Managers, Operations Managers, System Programmers, and Disaster Recovery Planners. The subsequent chapters provide more technical details about the GDPS offerings, and each can be read independently for those readers who are interested in specific topics. Therefore, if you do read all the chapters, be aware that some information is intentionally repeated.