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5 ways to maximize your cloud investment

CIO Business Intelligence

Migrating infrastructure and applications to the cloud is never straightforward, and managing ongoing costs can be equally complicated. Plus, you need to balance the FinOps team’s need for autonomy against the CIO’s need for centralized control to gain economies of scale and avoid runaway costs. Then there’s housekeeping.

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Your New Cloud for AI May Be Inside a Colo

CIO Business Intelligence

Enterprises moving their artificial intelligence projects into full scale development are discovering escalating costs based on initial infrastructure choices. Many companies whose AI model training infrastructure is not proximal to their data lake incur steeper costs as the data sets grow larger and AI models become more complex.

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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

More generally, low-quality data can impact productivity, bottom line, and overall ROI. No, its ultimate goal is to increase return on investment (ROI) for those business segments that depend upon data. Industry-wide, the positive ROI on quality data is well understood. The 5 Pillars of Data Quality Management. 1 – The people.

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12 Cloud Computing Risks & Challenges Businesses Are Facing In These Days

datapine

3) Cloud Computing Benefits. It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

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Cloud Analytics Powered by FinOps

Cloudera

The public cloud is increasingly becoming the preferred platform to host data analytics – related projects, such as business intelligence, machine learning (ML), and AI applications. The main challenges are pointed out as a lack of resources/expertise, security, and from a different perspective, cloud cost management. Why FinOps?

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What CIOs and CTOs should consider before adopting generative AI for application modernization

IBM Big Data Hub

First, technology leaders need to estimate the full financial impact of modernization (versus the cost of not modernizing) across the organization. Code generation: Code generation helps IT leaders overcome challenges related to developer bandwidth and optimizing the skills of a limited talent pool.

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6 considerations to take when approximating cloud spend

IBM Big Data Hub

There are many reasons why organizations have embraced cloud services, including improved efficiencies, cost savings, scalability, flexibility and quicker time-to-market. In addition, companies can run up cloud costs because they provision more resources than necessary for their normal business functions.