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AI Adoption in the Enterprise 2021

O'Reilly on Data

During the first weeks of February, we asked recipients of our Data & AI Newsletter to participate in a survey on AI adoption in the enterprise. The second-most significant barrier was the availability of quality data. Relatively few respondents are using version control for data and models. Respondents.

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How Novanta’s CIO mobilized its data-driven transformation

CIO Business Intelligence

When I joined, there was a lot of silo data everywhere throughout the organization, and everyone was doing their own reporting. It was also a lot of churning for the different groups to come up with those data on the weekly, monthly and quarterly basis.” But where to begin? “We Here are some edited excerpts of that conversation.

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ANZ Bank’s Advances Data-Driven Analytics With Cloudera

Cloudera

In 2021, ANZ Bank unveiled its strategy to drive digital transformation, increase their speed to market and become more agile. The EBD platform supports more than 10 internal and customer-facing groups with their Data Operations and Data Discovery requirements.

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Express Cloudera POV on 2021 data trends in insurance

Cloudera

2021 looks likely to be defined by a new phase: Thriving on digital transformation, rather than just surviving through it. . We’ve written about the changes forced on the traditionally risk-averse insurance industry by COVID-19. I’m sure you’ve already ready a number of trends and forecasts for 2021.

Insurance 105
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Benefits of PoLP in Stopping Data-Driven Cyberattacks

Smart Data Collective

Big data has made the field of cybersecurity a lot more complicated. On the one hand, many cybersecurity professionals are using big data technology to fortify their defenses and more easily respond to cybersecurity threats. They are using big data to orchestrate more viscous attacks than ever before.

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What is Model Risk and Why Does it Matter?

DataRobot Blog

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. What is a model?

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4 IT Management Best Practices Data-Driven Businesses Must Practice

Smart Data Collective

Data-driven businesses are far more successful than companies that don’t utilize data to their advantage. Unfortunately, they often find that managing their data effectively can be a challenge. Companies that rely on big data need a reliable IT department. Keep reading to learn how to do this.