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Belcorp reimagines R&D with AI

CIO Business Intelligence

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs.

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3 force multipliers for digital transformation

CIO Business Intelligence

While many organizations are successful with agile and Scrum, and I believe agile experimentation is the cornerstone of driving digital transformation, there isn’t a one-size-fits-all approach. Here are some force-multiplying differences achievable by agile data teams: Want that dashboard, then update the data catalog.

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How to choose the best AI platform

IBM Big Data Hub

Apart from pricing, there are numerous other factors to consider when evaluating the best AI platforms for your business. Gaining an understanding of available AI tools and their capabilities can assist you in making informed decisions when selecting a platform that aligns with your business objectives.

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Five Data Analytics Mistakes Marketers Make (And How to Avoid Them)

Sisense

This illuminates a disconnect: Marketers understand data’s significance, but they don’t know how to use it to best serve their business objectives. When you discover data that means something, you need to be agile enough to make experimental changes.”. Mistake #2: Choosing the wrong data visualization to present your data.

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The Marketing Analytics Intersect: My Newsletter!

Occam's Razor

It really depends on what your business objectives are! My third newsletter was an experimentation in engagement possible with a smaller focused audience, the topic was something I've expressed a great deal of affection for on this blog… TMAI #3: Visualizing Lies: Two Answers. Happy visualizing!