Remove Cost-Benefit Remove Data-driven Remove Digital Transformation Remove Unstructured Data
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3 key digital transformation priorities for 2024

CIO Business Intelligence

The analyst reports tell CIOs that generative AI should occupy the top slot on their digital transformation priorities in the coming year. Meanwhile, CIOs must still reduce technical debt, modernize applications, and get cloud costs under control. Luckily, many are expanding budgets to do so. “94%

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Generative AI will profoundly change healthcare operations

CIO Business Intelligence

AI-driven technology is not just a side project anymore. According to a recent analysis by EXL, a leading data analytics and digital solutions company, healthcare organizations that embrace generative AI will dramatically lower administration costs, significantly reduce provider abrasion, and improve member satisfaction.

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Belcorp reimagines R&D with AI

CIO Business Intelligence

These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As The R&D laboratories produced large volumes of unstructured data, which were stored in various formats, making it difficult to access and trace.

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Future-Proofing Your Business with Hyperautomation

CIO Business Intelligence

Hyperautomation is a key enabler of digital transformation, often touted as being necessary for an organisation’s survival, but often hampered by economic pressures and talent shortages. These tools bring benefits beyond automation. Gartner sees these inhibitors driving an annual 11.9 trillion by 2026.

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Do You Know Where All Your Data Is?

Cloudera

In spite of diligent digital transformation efforts, most financial services institutions still support a loose patchwork of siloed systems and repositories. The top-line benefits of a hybrid data platform include: Cost efficiency. Simplified compliance. Improved scalability and agility. Flexibility.

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The most valuable AI use cases for business

IBM Big Data Hub

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

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Bridging the Gap Between Analytics Expectations and Reality

Sisense

Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative. 39% of companies want to identify new revenue and business opportunities with data analytics.