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Beyond the hype: 4 use cases that show what’s actually working with gen AI

CIO

Plus, according to a recent survey of 2,500 senior leaders of global enterprises conducted by Google Cloud and National Research Group, 34% say theyre already seeing ROI for individual productivity gen AI use cases, and 33% expect to see ROI within the next year. To get to ROI requires data from several systems, she adds.

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

CIO

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 architect vs. data engineer The data architect and data engineer roles are closely related.

Data 199
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Predibase exits stealth with a low-code platform for building AI models

TechCrunch

Predibase’s other co-founder, Travis Addair, was the lead maintainer for Horovod while working as a senior software engineer at Uber. and low-code data engineering platform Prophecy (not to mention SageMaker and Vertex AI ). healthcare company.” healthcare company.”

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The rise of the data lakehouse: A new era of data value

CIO

You can intuitively query the data from the data lake. Users coming from a data warehouse environment shouldn’t care where the data resides,” says Angelo Slawik, data engineer at Moonfare. Rather than moving data into a central warehouse, the mesh enables access while allowing data to stay where it is.

Data 210
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Integrating Key Vault Secrets with Azure Synapse Analytics

Apiumhub

Integrated Data Lake Synapse Analytics is closely integrated with Azure Data Lake Storage (ADLS), which provides a scalable storage layer for raw and structured data, enabling both batch and interactive analytics. finance, healthcare). on-premises, AWS, Google Cloud).

Azure 91
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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps lies at the confluence of ML, data engineering, and DevOps.

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Why Are We Excited About the REAN Cloud Acquisition?

Hu's Place - HitachiVantara

Forbes notes that a full transition to the cloud has proved more challenging than anticipated and many companies will use hybrid cloud solutions to transition to the cloud at their own pace and at a lower risk and cost. This will be a blend of private and public hyperscale clouds like AWS, Azure, and Google Cloud Platform.

Cloud 78