Remove Data Engineering Remove Generative AI Remove Machine Learning
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Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI

AWS Machine Learning - AI

Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles. The chatbot improved access to enterprise data and increased productivity across the organization.

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The key to operational AI: Modern data architecture

CIO

Today, enterprises are leveraging various types of AI to achieve their goals. The team should be structured similarly to traditional IT or data engineering teams. As a result, ​developers — regardless of their expertise in machine learning — will be able to develop and optimize business-ready large language models (LLMs).

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10 most in-demand generative AI skills

CIO

If any technology has captured the collective imagination in 2023, it’s generative AI — and businesses are beginning to ramp up hiring for what in some cases are very nascent gen AI skills, turning at times to contract workers to fill gaps, pursue pilots, and round out in-house AI project teams.

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10 generative AI certs and certificate programs to grow your skills

CIO

Generative AI is poised to disrupt nearly every industry, and IT professionals with highly sought after gen AI skills are in high demand, as companies seek to harness the technology for various digital and operational initiatives.

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From Machine Learning to AI: Simplifying the Path to Enterprise Intelligence

Cloudera

As the AI landscape evolves from experiments into strategic, enterprise-wide initiatives, its clear that our naming should reflect that shift. Thats why were moving from Cloudera Machine Learning to Cloudera AI. This isnt just a new label or even AI washing. Ready to experience Cloudera AI firsthand?

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The future of data: A 5-pillar approach to modern data management

CIO

It was not alive because the business knowledge required to turn data into value was confined to individuals minds, Excel sheets or lost in analog signals. We are now deciphering rules from patterns in data, embedding business knowledge into ML models, and soon, AI agents will leverage this data to make decisions on behalf of companies.

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AI data readiness: C-suite fantasy, big IT problem

CIO

While there seems to be a disconnect between business leader expectations and IT practitioner experiences, the hype around generative AI may finally give CIOs and other IT leaders the resources they need to address longstanding data problems, says TerrenPeterson, vice president of data engineering at Capital One.

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