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Become More Data-Driven by Evolving Analytics Workloads

CIO Business Intelligence

Data-driven organizations understand that data, when analyzed, is a strategic asset. Organizations are expected to experience 30-40% data growth annually , which creates greater data protection responsibility and increases the data management burden. Cloudera and Dell Technologies for More Data Insights.

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6 trends framing the state of AI and ML

O'Reilly on Data

O’Reilly online learning is a trove of information about the trends, topics, and issues tech leaders need to know about to do their jobs. Our analysis of ML- and AI-related data from the O’Reilly online learning platform indicates: Unsupervised learning surged in 2019, with usage up by 172%. What’s driving this growth?

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Digital Twin Use Races Ahead at McLaren Group

CIO Business Intelligence

The company is applying winning insights from rapid, data-driven, evolutionary models versus relying on engine speed and aerodynamics alone to win races. Like professional basketball, industrial-scale farming, national politics, and global merchandising, auto racing has become a data science. Using Data to Generate Simulations.

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

CIO Business Intelligence

Cloud, sustainability, scale, and exponential data growth—these major factors that set the tone for high performance computing (HPC) in 2022 will also be key in driving innovation for 2023. As leaders in the HPC industry, we are worried about how to cool these data centers. Another big focus is on liquid cooling. [2]

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

CIO Business Intelligence

Data-driven venues from sporting events and concerts to other live events are helping to bolster the entertainment industry while simultaneously helping to ensure a safer environment for all. . It all boils down to using data efficiently. at the edge rather than the data center ?

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Your 5-Step Journey from Analytics to AI

CIO Business Intelligence

Most organizations have come to understand the importance of being data-driven. To compete in a digital economy, it’s essential to base decisions and actions on accurate data, both real-time and historical. But the sheer volume of the world’s data is expected to nearly triple between 2020 and 2025 to a whopping 180 zettabytes.

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Making Remarkable Energy Grids a Reality

CIO Business Intelligence

These changes bring new challenges, but advancements in IT automation, artificial intelligence (AI) and machine learning (ML), and edge-computing capabilities will play a key role. To control and harness technology’s potential, utilities will require OT modernization to leverage vast amounts of real-time data.