Remove Data Analytics Remove Experimentation Remove Strategy Remove Uncertainty
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What you need to know about product management for AI

O'Reilly on Data

This means that the AI products you build align with your existing business plans and strategies (or that your products are driving change in those plans and strategies), that they are delivering value to the business, and that they are delivered on time. Machine learning adds uncertainty. AI product estimation strategies.

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Why CIOs should invest in digital through economic headwinds

CIO Business Intelligence

Experiment with the “highly visible and highly hyped”: Gartner repeatedly pointed out that organisations that innovate during tough economic times “stay ahead of the pack”, with Mesaglio in particular calling for such experimentation to be public and visible.

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

CIO Business Intelligence

If anything, the past few years have shown us the levels of uncertainty we are facing. For example, Infosys and AWS built a joint strategy for quantum computing applications on circuit simulators and quantum hardware technologies using Amazon Braket.

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

CIO Business Intelligence

Currently, we have not implemented any full-fledged AI solutions, but internal discussions with the management are underway to develop dashboard solutions with data analytics. How do you foster a culture of innovation and experimentation in your team to ensure consistent learning, and achievement of your digital transformation goals?

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