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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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Data protection strategy: Key components and best practices

IBM Big Data Hub

While every data protection strategy is unique, below are several key components and best practices to consider when building one for your organization. What is a data protection strategy? Why it’s important for your security strategy Data powers much of the world economy—and unfortunately, cybercriminals know its value.

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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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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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How to build a successful AI strategy

IBM Big Data Hub

Without an AI strategy, organizations risk missing out on the benefits AI can offer. An AI strategy helps organizations address the complex challenges associated with AI implementation and define its objectives. What is an AI strategy? A successful AI strategy should act as a roadmap for this plan.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. These applications are designed to benefit logistics and shipping companies alike. Did you know?

Big Data 275
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Common cloud migration challenges and how to manage them

IBM Big Data Hub

Cloud computing continues to grow in popularity, and its scalability, functionality, cost-effectiveness and other potential benefits have helped transform traditional business models and update legacy systems, creating opportunities for various organizations. a migration will be.