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3 key digital transformation priorities for 2024

CIO Business Intelligence

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. Meanwhile, CIOs must still reduce technical debt, modernize applications, and get cloud costs under control.

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Retailers can tap into generative AI to enhance support for customers and employees

IBM Big Data Hub

With the rise of highly personalized online shopping, direct-to-consumer models, and delivery services, generative AI can help retailers further unlock a host of benefits that can improve customer care, talent transformation and the performance of their applications. The impact of these investments will become evident in the coming years.

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Why Choose a Hybrid Data Cloud in Financial Services?

Cloudera

Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts. Private cloud continues to gain traction with firms realizing the benefits of greater flexibility and dynamic scalability.

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Belcorp reimagines R&D with AI

CIO Business Intelligence

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs. Follow a value-focused strategy.

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Tech leaders weigh in on the upside and flipside of generative AI

CIO Business Intelligence

Generative AI is a key part of our business strategy, facilitating growth with AI-enabled processes already live in production,” he says. Neil Ward-Dutton, VP, AI and Intelligent Process Automation European Practices at IDC , suggests that generative AI usage is high but business strategy may lag.

Risk 87
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How to Take Back 40-60% of Your IT Spend by Fixing Your Data

Ontotext

Unlocking additional value from data requires context, relationships, and structure, none of which are present in the way most organizations store their data today. Solution to the Data Dilemma The good news is that the solution to this data dilemma is actually quite simple.

IT 69
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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.