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Dump the RFP to reap better outsourcing results

CIO Business Intelligence

Kate Vitasek / University of Tennessee A University of Tennessee white paper — Unpacking Competitive Bidding Methods: The Essential ABCs of the Various RFX Methods — provides insight into the what, why, and how of the most popular bid methods.

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Generative AI will profoundly change healthcare operations

CIO Business Intelligence

EXL predicts that if organizations fully adopt a digital strategy and optimally leverage technology, they could reduce overall administrative expenses by 40% to 50% in the next five years. In addition, large language models can both summarize massive amounts of data and create new, original content.

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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

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8 Reasons Why Digital Transformations Fail (11 CIOs Weigh In)

Alation

To remain relevant, organizations seek “ digital transformation ,” a business philosophy steeped in change and in which technology plays a heavy hand supporting business models and value propositions. Failing to measure the impact of digital transformation against corporate strategies and OKRs. But that future is already here.

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Balancing latency and sustainability

CIO Business Intelligence

In the Equinix 2023 Global Tech Trends Survey (GTTS), 68% of global IT leaders said that the environmental impact of their IT equipment and infrastructure is something they measure and actively try to limit. This could allow you to run even very large model training workloads without the need for power-hungry cooling systems.

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

Cloudera

In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. This involves identifying, quantifying and being able to measure ethical considerations while balancing these with performance objectives. As discussed in this article , model design can also be a source of bias too.

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The Value of Data

Andrew White

I just read a white paper by Diane Coyle and published by the Bennett Institute for Public Policy and Nuffield Foundation. It is a good paper but I found gaps and felt some disappointment at the main messages. This is particularly interesting since I also just read the EU’s new Data Strategy white paper.