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The top 15 big data and data analytics certifications

CIO

Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications. The number of data analytics certs is expanding rapidly.

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12 data science certifications that will pay off

CIO

Data science certifications give you an opportunity to not only develop skills that are hard to find in your desired industry, but also validate your data science know-how so recruiters and hiring managers know what they get if they hire you. Check out our list of top big data and data analytics certifications.)

Knowledge 795
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From fear to abundance: Rethinking job security in the age of generative AI

CIO

From customer service interactions to data analysis, genAI has already shown remarkable progress in streamlining processes and increasing efficiency. By giving workers the skills and knowledge needed to harness the potential of this technology, companies can ensure that no one is left behind. Chet earned his B.S.

Security 871
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Rocket Mortgage lays foundation for generative AI success

CIO

That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. For example, most people know Google and Alphabet are the same employer. The rest are on premises.

Knowledge 777
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4 ways upskilling and reskilling can fill hard-to-hire positions

CIO

Looking for existing staff with transferable skills, hidden skills, technical learnability, and hidden knowledge can bring these potential employees into focus. Transferable skills These are comprised of knowledge, experience, and abilities that make it easier to learn new skills.

Knowledge 750
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What are decision support systems? Sifting data for better business decisions

CIO

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

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3 areas where gen AI improves productivity — until its limits are exceeded

CIO

So based on early results, the three functional areas where companies see the biggest productivity improvements are in customer service, software development, and general creative and knowledge work. AI models are able to present best practice code systems to help junior developers learn and hone their skills.”

IT 802