Remove operationalization-avoid-the-pitfalls
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Data Science & AI Operationalization: How to Avoid the Pitfalls

Dataiku

After significant time and effort have been invested into a data science or AI project and a viable machine learning model has been produced, it needs to be operationalized, meaning deployed for use across the organization.

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The CIO’s guide to smarter vendor negotiation: 10 tips

CIO Business Intelligence

In an IT marketplace marked by turbulence, inflation, and economic uncertainty, the process of contracting with vendors for technology products and services has gotten significantly more challenging for CIOs. Vendors are not granting the same concessions they have in the past.” What’s more, technology contracts are often multilayered.

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What is Cloud Transformation? Benefits and Best Practices

Alation

Each year, more and more businesses are making the leap to the cloud. It’s becoming clear that the cloud is no longer the “next big thing”. The time for making the move to the cloud is now. But the process of moving away from on-premises infrastructure can be daunting. How do you know where to begin? What is Cloud Transformation?

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Drivers of IT transformation and the role of multi-cloud

CIO Business Intelligence

But IT needs to be clearheaded about the potential pitfalls to avoid in terms of the risk of increased complexity and the potential of creating additional silos in the adoption of multiple clouds. . Multi-cloud expansion is essential for many organizations that are scripting strategic initiatives for future growth and success.