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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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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?

Risk 111
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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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The Foundations of a Modern Data-Driven Organisation: Change from Within (part 2 of 2)

Cloudera

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. Collecting workforce data as a tool for talent management. Collecting workforce data as a tool for talent management. Data enables Innovation & Agility.

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Five Ways AI Can Help States Solve Their Hardest Problems (Part 2): Mitigate Risk and Fraud

DataRobot

Procurement misuse, abuse, and inefficiency continues to be a challenge for state governments, driven by large transaction volumes, pressure to reduce costs, and staffing challenges. Their increased usage has also led to new challenges related to compliance, misuse, and fraud risk. These are just some examples of what AI can offer.

Risk 98
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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.