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

Cloudera

What emerges is the criticality of a data strategy and core data management competency, including both data and model management, to support enterprise ML initiatives. Cloudera customers can start building enterprise AI on their data management competencies today with the Cloudera Data Science Workbench (CDSW).

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Digital Twin Use Races Ahead at McLaren Group

CIO Business Intelligence

For businesses like the McLaren Group, these two trends are at the core of the conglomerate’s digital transformation and competitive strategy, on and off the track. . Like professional basketball, industrial-scale farming, national politics, and global merchandising, auto racing has become a data science. IT Leadership

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How MLOps Is Helping Overcome Machine Learning’s Biggest Challenges

CIO Business Intelligence

In addition, “Of the 31% with AI in production, only one third claim to have reached a mature state of adoption wherein the entire organization benefits from an enterprise-wide AI strategy.”. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI).

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Top500: The Supercomputers Advancing Cyber Security, Renewable Energy, and Black Hole Research

CIO Business Intelligence

Davis and her team are using HPC-driven data science and AI to model solutions whereby energy management systems would protect themselves with semi-automated, real-time data analysis. Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality?

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

CIO Business Intelligence

Deployed successfully around the globe, liquid cooling is becoming essential to future proofing data centers. Scaling out and developing large-scale systems : To meet demand, the HPC industry is developing and honing strategies to effectively scale and deploy large systems that are both efficient and reliable. IT Leadership.

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Building a Beautiful Data Lakehouse

CIO Business Intelligence

They conveniently store data in a flat architecture that can be queried in aggregate and offer the speed and lower cost required for big data analytics. On the other hand, they don’t support transactions or enforce data quality. Each ETL step risks introducing failures or bugs that reduce data quality. .

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

And shows how big data and the advances in analytical technologies are shaping the way the world is perceived. 2) Designing Data-Intensive Applications by Martin Kleppman. Best for : the new intern who has no idea what data science even means. The author, Anil Maheshwari, Ph.D.,

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