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Lessons learned turning machine learning models into real products and services

O'Reilly Media - Data

In other words, “The gap between ambition and execution is large at most companies,” as put by the authors of an MIT Sloan Management Review article. However, in talking with CEOs looking to implement machine learning in their organizations, there seems to be a common problem in moving machine learning from science to production.

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Precision Medicine: How Healthcare Providers Can Prepare for the Future of Medicine

Altexsoft

Precision medicine is a very new term that exists without the hype. You don’t see it screaming at you from headlines, startups are not using it on the landing pages, and it’s slowly climbing up Garner’s Hype Cycle for Healthcare Providers , overpassed by medical IoT, Blockchain, and analytics. This can be data from surveys, tests, and wearables.

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7 Habits I&O Leaders Should Replace in 2021

Ivanti

Eventually, those concerns would get filtered back to R&D but any changes to the product led to a hard stop or months of reevaluating development and a phasing in of upgrades. Split by generational and philosophical ideas of governance, organizations are challenged to evolve to a world that’s already demanding a change.