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CIOs rethink all-in cloud strategies

CIO Business Intelligence

The resulting infrastructure of choice — a combination of on-premises and hybrid-cloud platforms — will aim to reduce cost overruns, contain cloud chaos, and ensure adequate funding for generative AI projects. Such decisions are largely driven by the need to maximize performance and business benefits while not losing track of costs.”

Strategy 143
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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? These changes may include requirements drift, data drift, model drift, or concept drift.

Strategy 289
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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

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How a cloud-first enterprise application strategy boosts speed and scale for your business

CIO Business Intelligence

Against a backdrop of disruptive global events and fast-moving technology change, a cloud-first approach to enterprise applications is increasingly critical. Companies that not only survived but thrived amidst the myriad business challenges show why cloud-first application deployment is a critical component of a retooled IT strategy.

Strategy 135
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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

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8 strategies for accelerating IT modernization

CIO Business Intelligence

Here veteran IT leaders and advisers offer eight strategies to speed up IT modernization. Those principles are data centric, platform first, cloud based, automation led, and zero trust (so that everything is secure from the start). I need one managing data and orchestrating the OEM platform base to drive business results.”

Strategy 139
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Streamlining supply chain management: Strategies for the future

IBM Big Data Hub

The pandemic and its aftermath highlighted the importance of having a robust supply chain strategy , with many companies facing disruptions due to shortages in raw materials and fluctuations in customer demand. Here’s how companies are using different strategies to address supply chain management and meet their business goals.