5 Ways Your AI Projects Fail, Part 2

The recurring perception that artificial intelligence, AI, is somehow magical and can create something from nothing leads many projects astray. That’s part of the reason that the 2019 Price Waterhouse CEO Survey shows fewer than half of US companies are embarking on strategic AI initiatives – the risk of failure is substantial. In this series, we’re examining the most common ways AI projects will fail for companies in the beginning of your AI journey. Be on the lookout for these failures – and ways to remediate or prevent them – in your own AI initiatives.

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Introducing Incorta: A Game-Changer for Data Prep

I am constantly evaluating new technologies and approaches to solving age old data problems. It’s given me a certain perspective on what truly drives change (hint: two parts culture for every one part technology) and a healthy dose of skepticism about silver bullet solutions, particularly to longstanding challenges around data management.

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5 Ways Your AI Projects Fail, Part 1

The recurring perception that artificial intelligence, AI, is somehow magical and can create something from nothing leads many projects astray. That’s part of the reason that the 2019 Price Waterhouse CEO Survey shows fewer than half of US companies are embarking on strategic AI initiatives – the risk of failure is substantial. In this series, we’re examining the most common ways AI projects will fail for companies in the beginning of your AI journey. Be on the lookout for these failures – and ways to remediate or prevent them – in your own AI initiatives.

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BACon 2019 Sneak Peek

The PMsquare Business Analytics Conference (BACon) is a unique data and analytics conference that provides opportunities for technical training, strategic planning guidance, and exploration of what is in store for IBM analytics solutions.  Held annually at the iconic Arlington International Racecourse, the conference offers a signature experience for attendees.

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