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CIO risk-taking 101: Playing it safe isn’t safe

CIO Business Intelligence

As CIO, you’re in the risk business. Or rather, every part of your responsibilities entails risk, whether you’re paying attention to it or not. There are, for example, those in leadership roles who, while promoting the value of risk-taking, also insist on “holding people accountable.” You can’t lose.

Risk 116
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CIOs weigh where to place AI bets — and how to de-risk them

CIO Business Intelligence

There are a lot of risks and a lot of land mines to navigate,” says the analyst. Coming to grips with risk The first step in making any bet — or investment — is to understand your ability to withstand risk. The CIO has strategies in place to address all three. It’s a significant danger with significant costs.

Risk 133
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10 cloud strategy questions every IT leader must answer

CIO Business Intelligence

Although some continue to leap without looking into cloud deals, the value of developing a comprehensive cloud strategy has become evident. Today we face the harsh reality of cloud costs, if not done right,” says Jay Upchurch, executive vice president and CIO at SAS. And the costs recur monthly or quarterly,” Upchurch says.

Strategy 145
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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. I suggest that the simplest business strategy starts with answering three basic questions: What? Test early and often. Test and refine the chatbot. Expect continuous improvement.

Strategy 290
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How to build a successful disaster recovery strategy

IBM Big Data Hub

Disaster recovery strategies provide the framework for team members to get a business back up and running after an unplanned event. Worldwide, the popularity of disaster recovery strategies is understandably increasing. A disaster recovery strategy lays out how your businesses will respond to a number of unplanned incidents.

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The Five Use Cases in Data Observability: Fast, Safe Development and Deployment

DataKitchen

It highlights how DataKitchen’s Data Observation solutions equip organizations to enhance their development practices, reduce deployment risks, and increase overall productivity. Each addition or modification poses potential risks that could propagate errors into production environments. How Many Tests Ran In The Qa Environment?

Testing 124
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Key Strategies to Develop AI Software Cost-Effectively

Smart Data Collective

Some companies are interested in taking advantage of the benefits of existing AI tools like ChatGPT. The ROI of creating their own AI applications can be massive, but they still need to use them cost-effectively. A study done by Deloitte in late 2022 showed that cost reduction is the top priority for CFOs.

Software 114