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10 Technical Blogs for Data Scientists to Advance AI/ML Skills

DataRobot

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. These data science teams are seeing tremendous results—millions of dollars saved, new customers acquired, and new innovations that create a competitive advantage.

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3 data security disciplines to drive AI innovation

CIO

The surging interest in implementing AI has directly increased the volume of data that organizations store across their cloud environments. Security programs need to account for the context in which AI systems are used and their impact on sensitive data exposure, effective access, and regulatory compliance.

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Rapid Response Healthcare Blogging: Blog Fast, Blog Smart, Blog Well

Perficient

Blogging is a great way to establish your healthcare organization and your providers as thought-leaders in the communities you serve. Rapid response blogging is pretty self-explanatory. Let’s look at how you can use rapid response pieces as part of your healthcare blogging strategy. That’s where rapid response comes in.

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Episode 4: Data is the New Currency

CIO

Data is the new currency of business. We hear that constantly and it is an accurate description of the value that data provides for the successful operation of a business. Put simply, organizations with “better” data management and use it more effectively, win in the market. The CIO can’t say the same for the data.

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What is Data Storytelling? The Value of Context and Narrative

This blog acts as a beginner’s guide to what data storytelling means for your company’s business intelligence and data analytics, explains the importance of leveraging it today, and illustrates how Yellowfin’s own set of storytelling tools can enrich your insight reporting efforts.

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Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs? – Part 2: On-Demand Enterprise Data Querying

Data Virtualization

Reading Time: 5 minutes Generative AI has opened up new possibilities for organizations that want to be creative and fearless with their data. In my first post in this series, I introduced ways that data fabric and retrieval augmented generation (RAG) can support large.

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What happens when you mess up data modeling?

Xebia

There has been an uptick in discussions surrounding the modern data stack, data mesh and self-service promising to solve many of your company’s data problems. Knowing a data modeling technique versus implementing it are two entirely different things. Teams creating their own data definitions.

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