John K. Thompson

Discover the next major revolution in data science and AI and how it applies to your organization In Causal Artificial Intelligence: The Next Step in Effective, Efficient, and Practical AI, a team of dedicated tech executives delivers a business-focused approach based on a deep and engaging exploration of the models and data used in causal AI. The book’s discussions include both accessible and understandable technical detail and business context and concepts that frame causal AI in familiar business settings. Useful for both data scientists and business-side professionals, the book offers: Clear and compelling descriptions of the concept of causality and how it can benefit your organizationDetailed use cases and examples that vividly demonstrate the value of causality for solving business problemsUseful strategies for deciding when to use correlation-based approaches and when to use causal inferenceAn enlightening and easy-to-understand treatment of an essential business topic, Causal Artificial Intelligence is a must-read for data scientists, subject matter experts, and business leaders seeking to familiarize themselves with a rapidly growing area of AI application and research.

Gain in-depth knowledge about how companies manipulate and exploit personal data. A book that does not require particular technical knowledge – just mere curiosity to explore the subject. From tech experts to the general public, Data for All is the ground-breaking guide to help with the ways third parties use personal data. Written by bestselling author John K Thompson, this edition will aid your understanding of areas, such as The types of data you generate with every action, every dayWhere your data is stored, who controls it, and how much money they make from itHow you can manage access and monetisation of your own dataRestricting data access to only companies and organisations you want to supportThe history of how we think about data, and why that is changingThe new data ecosystem is being built right now for your benefit About the technology For years, companies have had free rein to use every click, purchase, and “like” you make, to earn money. Now, across the globe, new laws have been written, passed, and are coming into force, giving individuals the right to access, delete, and monetise their own data. This book provides a vision of how you can use these laws, regulations, and services to directly benefit from your data in new and lucrative ways.

Get your hands on the secret recipe for a rewarding career in data science from 18 AI leaders Purchase of the print or Kindle book includes a free PDF eBook Key Features Gain access to insights and expertise from data science leaders shared in one-on-one interviews Get pragmatic advice on how to become a successful data scientist and data science leader Receive guidance to overcome common pitfalls and challenges and ensure your projects’ success Book DescriptionA Gartner prediction in 2018 led to numerous articles stating that "85% of AI and machine learning projects fail to deliver.” Although it's unclear whether a mass extinction event occurred for AI implementations at the end of 2022, the question remains: how can I ensure that my project delivers value and doesn't become a statistic? The demand for data scientists has only grown since 2015, when they were dubbed the new “rock stars” of business. But how can you become a data science rock star? As a new senior data leader, how can you build and manage a productive team? And what is the path to becoming a chief data officer? Creators of Intelligence is a collection of in-depth, one-on-one interviews where Dr. Alex Antic, a recognized data science leader, explores the answers to these questions and more with some of the world's leading data science leaders and CDOs. Interviews with: Cortnie Abercrombie, Edward Santow, Kshira Saagar, Charles Martin, Petar Velickovic, Kathleen Maley, Kirk Borne, Nikolaj Van Omme, Jason Tamara Widjaja, Jon Whittle, Althea Davis, Igor Halperin, Christina Stathopoulos, Angshuman Ghosh, Maria Milosavljevic, Dr. Meri Rosich, Dat Tran, and Stephane Doyen.What you will learn Find out where to start with AI ethics and how to evolve from frameworks to practice Discover tips on building and managing a data science team Receive advice for organizations seeking to build or mature a data science capability Stop beating your head against a brick wall – pick the environment that'll support your success Read stories from successful data leaders as they reflect on the successes and failures in data strategy development Understand how business areas can best work with data science teams to drive business value Who this book is forThis book is for a wide range of audience, from people working in the data science industry through to data science leaders and chief data officers. This book will also cater to senior business leaders interested in learning how data and analytics are used to support decision-making in different domains and sectors. Students contemplating a career in artificial intelligence (AI) and the broader data sector will also find this book useful, along with anyone developing and delivering university-level education, including undergraduate, postgraduate, and executive programs.

Master the skills necessary to hire and manage a team of highly skilled individuals to design, build, and implement applications and systems based on advanced analytics and AIKey FeaturesLearn to create an operationally effective advanced analytics team in a corporate environmentSelect and undertake projects that have a high probability of success and deliver the improved top and bottom-line resultsUnderstand how to create relationships with executives, senior managers, peers, and subject matter experts that lead to team collaboration, increased funding, and long-term success for you and your teamBook DescriptionIn Building Analytics Teams, John K. Thompson, with his 30+ years of experience and expertise, illustrates the fundamental concepts of building and managing a high-performance analytics team, including what to do, who to hire, projects to undertake, and what to avoid in the journey of building an analytically sound team. The core processes in creating an effective analytics team and the importance of the business decision-making life cycle are explored to help achieve initial and sustainable success.The book demonstrates the various traits of a successful and high-performing analytics team and then delineates the path to achieve this with insights on the mindset, advanced analytics models, and predictions based on data analytics. It also emphasizes the significance of the macro and micro processes required to evolve in response to rapidly changing business needs.The book dives into the methods and practices of managing, developing, and leading an analytics team. Once you've brought the team up to speed, the book explains how to govern executive expectations and select winning projects.By the end of this book, you will have acquired the knowledge to create an effective business analytics team and develop a production environment that delivers ongoing operational improvements for your organization.What you will learnAvoid organizational and technological pitfalls of moving from a defined project to a production environmentEnable team members to focus on higher-value work and tasksBuild Advanced Analytics and Artificial Intelligence (AA&AI) functions in an organizationOutsource certain projects to competent and capable third partiesSupport the operational areas that intend to invest in business intelligence, descriptive statistics, and small-scale predictive analyticsAnalyze the operational area, the processes, the data, and the organizational resistanceWho this book is forThis book is for senior executives, senior and junior managers, and those who are working as part of a team that is accountable for designing, building, delivering and ensuring business success through advanced analytics and artificial intelligence systems and applications. At least 5 to 10 years of experience in driving your organization to a higher level of efficiency will be helpful.