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Regulatory uncertainty overshadows gen AI despite pace of adoption

CIO Business Intelligence

Gen AI has the potential to magnify existing risks around data privacy laws that govern how sensitive data is collected, used, shared, and stored. We’re getting bombarded with questions and inquiries from clients and potential clients about the risks of AI.” The risk is too high.”

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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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Avoid generative AI malaise to innovate and build business value

CIO Business Intelligence

Deloitte 2 meanwhile found that 41% of business and technology leaders said a lack of talent, governance, and risks are barriers to broader GenAI adoption. However such fear, uncertainty, and doubt (FUD) can make it harder for IT to secure the necessary budget and resources to build services. Right-size your model(s).

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In AI we trust? Why we Need to Talk About Ethics and Governance (part 2 of 2)

Cloudera

In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. Surely there are ways to comb through the data to minimise the risks from spiralling out of control. Systems should be designed with bias, causality and uncertainty in mind.

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Data Equals Truth, and Truth Matters

erwin

In these times of great uncertainty and massive disruption, is your enterprise data helping you drive better business outcomes? A data-driven approach has never been more valuable to addressing the complex yet foundational questions enterprises must answer. Create always-available and always-transparent data pipelines.

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Are You Using a Cloud Experience to Boost Business Value?

CIO Business Intelligence

Workload placement is based on several factors, including performance, latency, costs, and data governance rules, among other variables. For example, you may elect to place a critical HR application on-premises for data locality rules that govern in which geographies employee data can run.

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Surviving Radical Disruption with Data Intelligence

erwin

The companies that come out of this historic period of global uncertainty and change are those who’ve taken intelligent and data-driven approaches to their businesses. 1 of erwin Insights 2020, our virtual conference on enterprise modeling and data governance/intelligence. Subscribe to the erwin Expert Blog.