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CIOs eager to scale AI despite difficulty demonstrating ROI, survey finds

CIO Business Intelligence

CIOs rank AI as a top priority alongside cybersecurity for IT departments. However, barriers such as adoption speed and security concerns hinder rapid AI integration, according to a new survey. There is a promising surge in the use of AI technologies across various industries. Today’s CIOs are working in a tornado of innovation.

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The generative AI revolution is transforming how banks work

CIO Business Intelligence

The generative AI revolution has the power to transform how banks operate. Banks are increasingly turning to AI to assist with a wide range of tasks, from customer onboarding to fraud detection and risk regulation. So, as they leap into AI, banks must first ensure that their data is AI-ready.

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Generative AI use cases for the enterprise

IBM Big Data Hub

Before long, smartphones became a way of life for organizations worldwide because of all they offer for business productivity and communication. Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating. Automate tedious, repetitive tasks.

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A Look Ahead at the Gartner Data & Analytics Summit

Cloudera

As we enter into a new month, the Cloudera team is getting ready to head off to the Gartner Data & Analytics Summit in Orlando, Florida for one of the most important events of the year for Chief Data Analytics Officers (CDAOs) and the field of data and analytics.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.

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8 questions CIOs should ask to prime their business for gen AI

CIO Business Intelligence

Companies are now recognizing the work ahead of them to get their data, people, and processes ready to capitalize on gen AI’s potential. Critical to getting this right is understanding and linking gen AI and innovation to enterprise success. The number of gen AI models and vendors is growing by the minute.

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Avoid generative AI malaise to innovate and build business value

CIO Business Intelligence

Despite the promise generative AI holds for boosting corporate productivity, closing the gap between its potential and business value remains one of CIOs’ chief challenges. Sixty-six percent of C-level executives are ambivalent or dissatisfied with the progress of their AI or GenAI efforts, according to Boston Consulting Group 1.

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