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TAP Accelerates Artificial Intelligence

Cloud Musings

Photo credit: Shutterstock Over the past few years, the use of artificial intelligence has expanded more rapidly than many of us could have imagined. While this may invoke fear and dread in some, these relatively new technology applications are clearly delivering real value to our global society.

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Databases are the unsung heroes of AI

Dataconomy

Artificial intelligence is no longer fiction and the role of AI databases has emerged as a cornerstone in driving innovation and progress. An AI database is not merely a repository of information but a dynamic and specialized system meticulously crafted to cater to the intricate demands of AI and ML applications.

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12 data science certifications that will pay off

CIO Business Intelligence

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. Check out our list of top big data and data analytics certifications.)

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Overview of how Apache Spark fits in the Apache Hadoop ecosystem

CTOvision

But now thanks to the contributions of a wide team of open source developers and leaders, the consensus is becoming clear (especially among enterprise CTOs), Spark is better as part of a more comprehensive framework. Perhaps the greatest are the many solutions around Machine Learning and Artificial Intelligence.

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Bringing AI to your organization? Better bring the right database

CIO Business Intelligence

These leaders succeed with these real-time AI capabilities in large part because of their ability to aggregate massive amounts of real-time data from customers, devices, sensors, or partners as it moves through applications. This data in turn is used to train and serve machine learning models.

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Comprehending Machine Intelligence: Research and Graphic by Shivon Zilis

CTOvision

From their manual that includes: Machine intelligence : Artificial intelligence and machine learning technologies, including both core technologies and industry applications. New organizational models: Bringing software development methodologies to other applications (e.g.,

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Should you build or buy generative AI?

CIO Business Intelligence

As a ‘taker,’ you consume generative AI through either an API, like ChatGPT, or through another application, like GitHub Copilot, for software acceleration when you do coding,” he says. In the shaper model, you’re leveraging existing foundational models, off the shelf, but retraining them with your own data.”