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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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IT leaders rethink talent strategies to cope with AI skills crunch

CIO

Moreover, many need deeper AI-related skills, too, such as for building machine learning models to serve niche business requirements. He has identified the skills required to move his company’s AI agenda forward, where those skills should reside in the organization, and how he will get them. Here’s how IT leaders are coping.

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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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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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Key Data Engineer responsibilities

Apiumhub

Data engineer roles have gained significant popularity in recent years. Number of studies show that the number of data engineering job listings has increased by 50% over the year. And data science provides us with methods to make use of this data. Who are data engineers?

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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. Information/data governance architect: These individuals establish and enforce data governance policies and procedures.

Data 317
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Building Custom Runtimes with Editors in Cloudera Machine Learning

Cloudera

Cloudera Machine Learning (CML) is a cloud-native and hybrid-friendly machine learning platform. It unifies self-service data science and data engineering in a single, portable service as part of an enterprise data cloud for multi-function analytics on data anywhere. References.