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The Role of Data Governance During A Pandemic

Anmut

Data governance - who's counting? The role of data governance. This large gap between reported figures raises tough questions on the reliability of COVID-19 tracking data. In dealing with situations like pandemic data, how important are aspects of data governance such as standardised definitions?

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

IBM Big Data Hub

At IBM, we have an AI Ethics Board that supports a centralized governance, review, and decision-making process for IBM ethics policies, practices, communications, research, products and services. 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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Which workloads are best suited for cloud vs. on-premises or edge?

CIO Business Intelligence

Where I’ve seen AI projects fail is in trying to bring the massive amounts of data from where it’s created to the training model [in some public cloud] and get timely insights, versus taking the model and bringing it closer to where the data is created,” Lavista explains.

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Which Workloads Belong On-Premises as Part of Hybrid IT

CIO Business Intelligence

Where I’ve seen AI projects fail is in trying to bring the massive amounts of data from where it’s created to the training model [in some public cloud] and get timely insights, versus taking the model and bringing it closer to where the data is created,” Lavista explains.

IT 88
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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.