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Building a vision for real-time artificial intelligence

CIO

By George Trujillo, Principal Data Strategist, DataStax I recently had a conversation with a senior executive who had just landed at a new organization. He had been trying to gather new data insights but was frustrated at how long it was taking. Sound familiar?) It isn’t easy.

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IT leaders rethink talent strategies to cope with AI skills crunch

CIO

As head of transformation, artificial intelligence, and delivery at Guardian Life, John Napoli is ramping up his company’s AI initiatives. Moreover, many need deeper AI-related skills, too, such as for building machine learning models to serve niche business requirements. Here’s how IT leaders are coping.

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Henkel embraces gen AI as enabler and strategic disruptor

CIO

“We needed to double down on the massive upskilling of the internal organization and also acquire — we call it injecting — talent from the outside.” But to achieve Henkel’s digital vision, Nilles would need to attract data scientists, data engineers, and AI experts to an industry they might not otherwise have their eye on.

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NJ Transit creates ‘data engine’ to fuel transformation

CIO

Since joining NJ Transit, Fazal has primarily been chipping away at his major goal: enabling data innovation. Data engine on wheels’. To mine more data out of a dated infrastructure, Fazal first had to modernize NJ Transit’s stack from the ground up to be geared for business benefit. Multicloud as enabler.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. We then discuss how building on a secure foundation is essential for generative AI.

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Cloud data architect: The cloud data architect designs and implements data architecture for cloud-based platforms such as AWS, Azure, and Google Cloud Platform.

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Iterative raises $20M for its MLOps platform

TechCrunch

The core idea behind Iterative is to provide data scientists and data engineers with a platform that closely resembles a modern GitOps-driven development stack. After spending time in academia, Iterative co-founder and CEO Dmitry Petrov joined Microsoft as a data scientist on the Bing team in 2013.