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How MLOps Is Helping Overcome Machine Learning’s Biggest Challenges

CIO Business Intelligence

Enterprises are betting big on machine learning (ML). According to IDC , 85% of the world’s largest organizations will be using artificial intelligence (AI) — including machine learning (ML), natural language processing (NLP) and pattern recognition — by 2026. Intel® Technologies Move Analytics Forward.

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Consider the Benefits of Augmented Analytics

Smarten

Let’s look at some of the reasons business intelligence (BI) and augmented analytics are important to your business and the benefits this type of solution can provide for your enterprise. Giving your team the right tools and a simple way to manage the overwhelming flow of data is crucial to business success.’

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Smart Cities Increase Efficiency, Safety and Sustainability

CIO Business Intelligence

More cities than ever before are investing in smart city technology and changing how cities operate. There are many benefits that come along with making a city “smart.” This combination allows the solution to apply advanced analytical processing to facilitate safety decision making. Intel® Technologies Move Analytics Forward.

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Digital Twin Use Races Ahead at McLaren Group

CIO Business Intelligence

Racing car design innovation and racing strategy are now dominated by what McLaren engineers call condition-based insights derived from real-time data feeds from hundreds of sensors in cars and the use of digital twins ? and artificial intelligence (AI) and machine learning (ML) technologies. .

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What’s New and What’s Next in 2023 for HPC

CIO Business Intelligence

Moving forward, we will see workflows that are more capable and widely adopted to facilitate edge-core-cloud needs like generating meshes, performing 3D simulations, performing post-simulation data analysis, and feeding data into machine learning models—which support, guide, and in some case replace the need for simulation.

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Cloudera Data Science Workbench: where innovation meets security, compliance and scale on the road to industrialized AI

Cloudera

Gartner states that “By 2022, 75% of new end-user solutions leveraging machine learning (ML) and AI techniques will be built with commercial instead of open source platforms” ¹. Spoiler alert: it’s not because data scientists will stop relying on open source for the latest innovation in ML algorithms and development environments.

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How the Sports and Entertainment Industry Is Reinventing the Fan Experience and Enhancing Revenues with Computer Vision

CIO Business Intelligence

The data gathered from cameras and sensors as part of a computer vision system, along with machine learning, make it easier to find missing persons and to identify people who are not allowed to be in a venue. Data is key to improving operational efficiencies. Intel® Technologies Move Analytics Forward.