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| Title & Speakers | Event |
|---|---|
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AI and a Bit of Advertising
2023-09-08 · 19:19
Martin Fleming
– guest
@ Varicent
,
Cris deRitis
– host
,
Mark Zandi
– Chief Economist
@ Moody's Analytics
,
Marisa DiNatale
– Senior Director
@ Moody's Analytics
Given the strong counter narratives regarding the impact of artificial intelligence on the economy – from bright optimism that AI will significantly lift productivity growth and wealth to dark pessimism that it will lead to a dystopic increase in unemployment and cybercrime – we asked Martin Fleming to sort it out. And the former chief economist of IBM and current author and Chief Revenue Scientist at Varicent does just that. And Mark does a bit of advertising along the way. For more about Martin Fleming, click here For more on Martin Fleming's book, Breakthrough: A Growth Revolution, click here To participate in the weekly Survey of Business Confidence, click here Follow Mark Zandi @MarkZandi, Cris deRitis @MiddleWayEcon, and Marisa DiNatale on LinkedIn for additional insight. Questions or Comments, please email us at [email protected]. We would love to hear from you. To stay informed and follow the insights of Moody's Analytics economists, visit Economic View. |
Moody's Talks - Inside Economics |
|
Data Professionals at Work
2018-10-11
Malathi Mahadevan
– author
Enjoy reading interviews with more than two dozen data professionals to see a picture of what it’s like to work in the industry managing and analyzing data, helping you to know what it takes to move from your current expertise into one of the fastest growing areas of technology today. Data is the hottest word of the century, and data professionals are in high demand. You may already be a data professional such as a database administrator or business intelligence analyst. Or you may be one of the many people who want to work as a data professional, and are curious how to get there. Either way, this collection helps you understand how data professionals work, what makes them successful, and what they do to keep up. You’ll find interviews in this book with database administrators, database programmers, data architects, business intelligence professionals, and analytics professionals. Interviewees work across industry sectors ranging from healthcare and banking tofinance and transportation and beyond. Each chapter illuminates a successful professional at the top of their game, who shares what helped them get to the top, and what skills and attitudes combine to make them successful in their respective fields. Interviewees in the book include: Mindy Curnutt, Julie Smith, Kenneth Fisher, Andy Leonard, Jes Borland, Kevin Feasel, Ginger Grant, Vicky Harp, Kendra Little, Jason Brimhall, Tim Costello, Andy Mallon, Steph Locke, Jonathan Stewart, Joseph Sack, John Q. Martin, John Morehouse, Kathi Kellenberger, Argenis Fernandez, Kirsten Benzel, Tracy Boggiano, Dave Walden, Matt Gordon, Jimmy May, Drew Furgiuele, Marlon Ribunal, and Joseph Fleming. All of them have been successful in their careers, and share their perspectives on working and succeeding in the field as data and database professionals. What You'll Learn Stand out as an outstanding professional in your area of data work by developing the right set of skills and attitudes that lead to success Avoid common mistakes and pitfalls, and recover from operational failures and bad technology decisions Understand current trends and best practices, and stay out in front as the field evolves Break into working with data through database administration, business intelligence, or any of the other career paths represented in this book Manage stress and develop a healthy work-life balance no matter which career path you decide upon Choose a suitable path for yourself from among the different career paths in working with data Who This Book Is For Database administrators and developers, database and business intelligence architects, consultants, and analytic professionals, as well as those intent on moving into one of those career paths. Aspiring data professionals and those in related technical fields who want to make a move toward managing or analyzing data on a full-time basis will find the book useful. Existing data professionals who want to be outstanding and successful at what they do will also appreciate the book's advice and guidance. |
O'Reilly Data Science Books
|