The AI Factor: How to Apply Artificial Intelligence and Use Big Data to Grow Your Business Exponentially

Have you heard about artificial intelligence (AI) and big data but felt they are technologies too big or too complicated for you or your business? Do you imagine AI as a Hollywood science fiction stereotype or something in the far and distant future?

Take heart. AI is none of those things. It’s part of our everyday lives, and it has the power to transform your business.

This book will put AI, big data, the cloud, robotics, and smart devices in context. It will reveal how these technologies can dramatically multiply any businesses--including yours--by strategically using your data’s latent, transformative potential.

Noted business leader, data consultant, and Columbia professor Asha Saxena has distilled her twenty-seven years of experience teaching Fortune 500 leaders in this powerful and insightful book. In The AI Factor, business leaders will learn how to understand the data they already have and how to use it innovatively to grow their businesses using Saxena’s unique methodology.

Asha Saxena is the Founder and CEO of Women Leaders in Data and AI (WLDA), a mastermind group helping women in technology succeed both personally and professionally. She is also a professor at Columbia University in NYC, teaching healthcare consulting and entrepreneurship to graduate students, and is a partner with CEO International where she coaches CXO leaders. As a serial entrepreneur, Asha has built and sold three successful businesses. Most recently, she has served as CEO and Chairperson of Future Technologies Inc., a data management firm that provided warehousing, analytics, and intelligence services. She was also the CEO and Chief Innovation Officer of Aculyst, which provided best-in-class healthcare analytics services through a pre-built model that integrates clinical, financial, and operational data. Asha has served on a number of for-profit and nonprofit boards and is a contributor and international speaker on a variety of technology, data, AI, and women-related issues.