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Building a vision for real-time artificial intelligence

CIO

He had been trying to gather new data insights but was frustrated at how long it was taking. Data is a key component when it comes to making accurate and timely recommendations and decisions in real time, particularly when organizations try to implement real-time artificial intelligence. Sound familiar?) It isn’t easy.

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12 data science certifications that will pay off

CIO

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Not finding what you’re looking for?

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How CIOs Can Become Artificial Intelligence Experts

The Accidental Successful CIO

Thanks to their easy-to-use interfaces, programs for these AI templates which are known as automated machine learning, or automated ML are even being used by data scientists themselves. Automated ML can be used to ease the pain of data science. These new tools are called automated machine learning.

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

CIO

Information/data governance architect: These individuals establish and enforce data governance policies and procedures. Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence.

Data 328
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Henkel embraces gen AI as enabler and strategic disruptor

CIO

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. However, at the same time, SAP was working on a new feature for the SAP Analytics Cloud: Just Ask, which applies gen AI to search-driven analytics.

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Generative AI will be the key to achieving patient-centric care

CIO

Both healthcare payers and providers remain cautious about how to use this latest version of artificial intelligence, and rightfully so. You have to balance the potential benefits of generative AI with significant, important operational issues, such as ensuring patient data privacy and complying with regulatory requirements.

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What is Machine Learning Engineer: Responsibilities, Skills, and Value Brought

Altexsoft

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. The role of a machine learning engineer in the data science team.