Estate in the Valley finalizes John Thompson's sojourn in southwestern British Columbia. Personal and family anecdotes are interwoven with some geographical and historical information about the Fraser Valley.

Estate in the Valley

Biographies & Memoirs

Thompson, John K.

Memoirs

Infinity Publishing

Inflation, Financial Markets and Economic Development: The Experience of Mexico (Contemporary Studies in Economic and Financial Analysis, Vol 16)

Business & Money

Bank, Mellon N. A.

Economics

Jai Pr

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: <ul> <li>Clear and compelling descriptions of the concept of causality and how it can benefit your organization</li> <li>Detailed use cases and examples that vividly demonstrate the value of causality for solving business problems</li> <li>Useful strategies for deciding when to use correlation-based approaches and when to use causal inference</li> </ul> An 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.

Causal Artificial Intelligence: The Next Step in Effective Business AI

Hurwitz, Judith S.

Management & Leadership

wiley

Do you know what happens to your personal data when you are browsing, buying, or using apps? Discover how your data is harvested and exploited, and what you can do to access, delete, and monetize it.\nData for All empowers everyone—from tech experts to the general public—to control how third parties use personal data. Read this eye-opening book to learn:\nThe types of data you generate with every action, every day Where your data is stored, who controls it, and how much money they make from it How you can manage access and monetization of your own data Restricting data access to only companies and organizations you want to support The history of how we think about data, and why that is changing The new data ecosystem being built right now for your benefit 
The data you generate every day is the lifeblood of many large companies—and they make billions of dollars using it. In Data for All, bestselling author John K. Thompson outlines how this one-sided data economy is about to undergo a dramatic change. Thompson pulls back the curtain to reveal the true nature of data ownership, and how you can turn your data from a revenue stream for companies into a financial asset for your benefit.\nForeword by Thomas H. Davenport.\nPurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.\nAbout the Technology\nDo you know what happens to your personal data when you’re browsing and buying? New global laws are turning the tide on companies who make billions from your clicks, searches, and likes. This eye-opening book provides an inspiring vision of how you can take back control of the data you generate every day.\nAbout the Book\nData for All gives you a step-by-step plan to transform your relationship with data and start earning a “data dividend”—hundreds or thousands of dollars paid out simply for your online activities. You’ll learn how to oversee who accesses your data, how much different types of data are worth, and how to keep private details private.\nWhat’s Inside\nThe types of data you generate with every action, every day How you can manage access and monetization of your own data The history of how we think about data, and why that is changing The new data ecosystem being built right now for your benefit 
About the Reader\nFor anyone who is curious or concerned about how their data is used. No technical knowledge required.

Data for All

Computers & Technology

Networking & Cloud Computing

Manning

Review\n"Successful analytics require a multifaceted set of tasks in a well-managed process, and Thompson knows how to make it work. His deep experience comes through on every page." -- 
Thomas H. Davenport, Distinguished Professor, Babson College and Research Fellow, MIT Initiative on the Digital Economy, Author of Competing on Analytics and The AI Advantage\n"John's book is the most detailed, real-world "roadmap" I've read for organizations that want to become analytics-driven." -- 
Bill Schmarzo, Chief Innovation Officer, Hitachi Ventara\n"With this book, executive leaders and analytics teams will be guided to develop sustained, strategic, and even revolutionary advantage from massive data flows through Advanced Analytics and AI centers of excellence." 
-- 
Kirk Borne, Principal Data Scientist, Data Science Fellow, and Executive Advisor at Booz Allen Hamilton 
"John's deep expertise and real-world experience adds depth to this excellent book. The focus on best practices is an essential to the success of leaders in advanced analytics." -- 
Judith Hurwitz, President and CEO, Hurwitz & Associates\nMaster 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 AI Key Features Learn to create an operationally effective advanced analytics team in a corporate environment Select and undertake projects that have a high probability of success and deliver the improved top and bottom-line results Understand 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 team Book Description 
In 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 learn Avoid organizational and technological pitfalls of moving from a defined project to a production environment Enable team members to focus on higher-value work and tasks Build Advanced Analytics and Artificial Intelligence (AA&AI) functions in an organization Outsource certain projects to competent and capable third parties Support the operational areas that intend to invest in business intelligence, descriptive statistics, and small-scale predictive analytics Analyze the operational area, the processes, the data, and the organizational resistance Who this book is for 
This 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 o

Building Analytics Teams: Harnessing analytics and artificial intelligence for business improvement

Databases & Big Data

Packt Publishing

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Books by Thompson, John K.