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Which workloads are best suited for cloud vs. on-premises or edge?

CIO Business Intelligence

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

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Which Workloads Belong On-Premises as Part of Hybrid IT

CIO Business Intelligence

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

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The importance of governance: What we’re learning from AI advances in 2022

IBM Big Data Hub

To scale the use of responsible AI requires AI governance, the process of defining policies and establishing accountability throughout the AI lifecycle. A comprehensive AI governance strategy encompasses people, process and technology. AI governance technology can help implement guardrails at each stage of the AI/ML lifecycle.

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Serving the Public Through Data

Cloudera

While going digital may be commonly associated with the private sector, governments and the organizations in the public sector have much to gain by going digital as well. In a world rife with uncertainty, governments need to ensure that their citizens’ health and well-being are taken care of even as they seek to keep their economies afloat.

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11 dark secrets of data management

CIO Business Intelligence

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.

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5 Types of Costly Data Waste and How to Avoid Them

CIO Business Intelligence

Lowering the entry cost by re-using data and infrastructure already in place for other projects makes trying many different approaches feasible. Fortunately, learning-based projects typically use data collected for other purposes. . Duplication of data also entails duplication of effort, which is an additional cost.