Introduction

Everywhere you turn, you hear or read about artificial intelligence (AI) and the emerging importance of digital transformation. To be competitive in modern business, decision-making needs to evolve into a more objective, insightful, and unbiased process that is powered by the application of AI-enabled analytics.

We have written AI-Enabled Analytics for Business: A Roadmap for Becoming an Analytics Powerhouse for executives to gain a solid understanding of AI and analytics that will give clarity, vision, and voice to integrating them in business processes that will be impactful and increase business performance.

Today, there is more promise than practice in implementing AI and analytics for data-driven decisions. As you will learn, there are twice as many analytics failures than successes, and there are twice as many successes that are abandoned rather than sustained. The good news is that almost all failure can be traced back to executive decisions that are entirely avoidable and easily identified.

Further, AI is not the sole purview of big companies, big data, and big data projects that seek to boil the ocean. The butcher, baker, and candlestick maker can all incorporate AI to increase productivity, reduce workforce, retain higher-skilled talent, and enhance the customer's experience. In fact, AI and analytics are better done incrementally, building on each success to scale the business to become an analytics powerhouse.

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