Remove 2016 Remove Risk Remove Strategy
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TBM helps CIOs translate tech spending to business outcomes

CIO Business Intelligence

IT spending has evolved from an operational necessity to a key component of business strategy, he says. Energy use has become an important expense to monitor as well, along with more traditional IT costs and risk management. The company relies on IT to drive innovation, efficiency, and competitive advantages.

ROI 96
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What is Model Risk and Why Does it Matter?

DataRobot Blog

This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks. What is a model?

Risk 111
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Octopai Acquisition Enhances Metadata Management to Trust Data Across Entire Data Estate

Cloudera

Founded in 2016, Octopai offers automated solutions for data lineage, data discovery, data catalog, mapping, and impact analysis across complex data environments. It allows users to mitigate risks, increase efficiency, and make data strategy more actionable than ever before.

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5 strategies for boosting endpoint management

CIO Business Intelligence

Endpoint security requires a comprehensive and flexible strategy that goes way beyond what security teams relied on a decade or more ago. Between June 2016 and December 2021, the FBI recorded over 240,000 national and international complaints about BEC attacks, which cumulatively resulted in losses of $43 billion. Those days are over.

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Governance for responsible AI: The easy things and the hard ones

CIO Business Intelligence

The easy things: A clear understanding of AI terminology and risks There’s a host of things that can be established with relative ease early in an organization’s AI journey. This context is important not just to meet your audience where they are, but also to understand risks that are specific to the context of your AI application.

Risk 126
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Big Data: The Technology Behind Retailers Success

Smart Data Collective

This information can further be used in marketing strategies. Powered by big data, retailers can turn to a dynamic pricing strategy to analyze the market and adjust accordingly. This global coffee brand has increased its revenue by 26% from 2016 to 2019. Retailers can conduct A/B testing to find out which prices work the best.

Big Data 145
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How to prioritize data strategy investments as a CDO

IBM Big Data Hub

My first task as a Chief Data Officer (CDO) is to implement a data strategy. Over the past 15 years, I’ve learned that an effective data strategy enables the enterprise’s business strategy and is critical to elevate the role of a CDO from the backroom to the boardroom. Mitigating risk. Understand your strategic drivers.