Remove Data-driven Remove Experimentation Remove ROI Remove Uncertainty
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What you need to know about product management for AI

O'Reilly on Data

AI products are automated systems that collect and learn from data to make user-facing decisions. All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. Machine learning adds uncertainty.

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Belcorp reimagines R&D with AI

CIO Business Intelligence

These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As The R&D laboratories produced large volumes of unstructured data, which were stored in various formats, making it difficult to access and trace.

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Innovate What’s Next: How Living Labs Brings Ideas to Life

CIO Business Intelligence

Our world today is experiencing an extremely social, connected, competitive and technology-driven business environment. If anything, the past few years have shown us the levels of uncertainty we are facing. Accelerate Innovation.

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Havmor’s VP IT Dhaval Mankad on ‘melting’ hurdles with a scoop of digital innovation

CIO Business Intelligence

What are some of the unique data and cybersecurity challenges that Havmor faces as a vast customer-centric business? Data and cybersecurity issues challenge every IT leader. With cybersecurity and data protection, end-user awareness presents itself as a key challenge. We are working on similar projects for supply chain as well.

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Product Management for AI

Domino Data Lab

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. Without large amounts of labeled training data solving most AI problems is not possible.