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Leveraging AMPs for machine learning

CIO

As a result, employers no longer have to invest large sums to develop their own foundational models. Data scientists and AI engineers have so many variables to consider across the machine learning (ML) lifecycle to prevent models from degrading over time. However, the road to AI victory can be bumpy.

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Remember when developers reigned supreme? The market for software coding goes soft

CIO

It seems like only yesterday when software developers were on top of the world, and anyone with basic coding experience could get multiple job offers. This yesterday, however, was five to six years ago, and developers are no longer the kings and queens of the IT employment hill. An example of the new reality comes from Salesforce.

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From Machine Learning to AI: Simplifying the Path to Enterprise Intelligence

Cloudera

Thats why were moving from Cloudera Machine Learning to Cloudera AI. Thats a future where AI isnt a nice-to-haveits the backbone of decision-making, product development, and customer experiences. Why AI Matters More Than ML Machine learning (ML) is a crucial piece of the puzzle, but its just one piece.

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The key to operational AI: Modern data architecture

CIO

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

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How AI and ML Can Accelerate and Optimize Software Development and Testing

Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software

It's no secret that CTOs need to have a full understanding if they want to be successful, but does that make them responsible for developer productivity? While advancements in software development and testing have come a long way, there is still room for improvement.

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Are you ready for MLOps? 🫵

Xebia

Gartner reported that on average only 54% of AI models move from pilot to production: Many AI models developed never even reach production. Both the tech and the skills are there: Machine Learning technology is by now easy to use and widely available. First let’s throw in a statistic. … that is not an awful lot.

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“Collaborations between public and private organizations will be vital for the UAE to deliver on digital agenda”

CIO

The partnership is set to trial cutting-edge AI and machine learning solutions while exploring confidential compute technology for cloud deployments. Core42 equips organizations across the UAE and beyond with the infrastructure they need to take advantage of exciting technologies like AI, Machine Learning, and predictive analytics.