AI
Eric Siegel, author of The AI Playbook, was interviewed by Pragmatic Data about a business paradigm to get machine learning deployed, bizML. Click here to listen to the podcast episode. “There’s a gap between the technical side and the business side. You need to bridge that gap with a common understanding of what’s predicted,
By: Eric Siegel
Originally published in Harvard Business Review. Machine learning has an “AI” problem. With new breathtaking capabilities from generative AI released every several months — and AI hype escalating at an even higher rate — it’s high time...
Originally published in The Byte, Nov 2, 2023. More than 50 years after their breakup, The Beatles have released their final song — and used AI to bring John Lennon’s voice back to life. In an announcement published...
Originally published in East Wind, Oct 25, 2023. I’m probably not the first person to write about the insane leverage that LLMs confer to engineers, but Stack Overflow’s 28% layoff really got me thinking about the future of human-generated data,...
By: Sam Koslowsky, Senior Analytic Consultant,
Harte Hanks
Your firm is growing rapidly, and to maintain pace, talent acquisition managers are searching for innovative approaches to attract, keep and satisfy qualified candidates. You see, less qualified applicants are creeping in, employee turnover is as high...
Originally published in The Verge, Oct 18, 2023. No prominent developer of AI foundation models — a list including companies like OpenAI and Meta — is releasing sufficient information about their potential impact on society, determines a new...
Originally published in a16z.com, Oct 12, 2023. What do enterprise buyers in healthcare care about most when evaluating AI products? To answer that question, we interviewed leaders from many of the largest healthcare providers and insurers across...
By: Eric Siegel and Michael Albert
Originally published in Analytics Magazine, July 19, 2023. Business leaders need more machine learning acumen to properly translate business objectives into the requirements for a predictive model. Without this, pitfalls abound. In this article, we show why...
By: Eric Siegel
Originally published in Harvard Business Review, March 24, 2023. Machine learning is a promising technology for improving the customer experience. Why? It’s simple: because it can predict customer behaviors. Prediction as a capability is the Holy Grail...
By: Eric Siegel
There are plenty of questions to answer about The AI Playbook. Readers of this book come with diverse backgrounds and various preconceptions about the problem the book aims to solve: getting machine learning deployed. This FAQ...
