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10 Steps to Achieve Enterprise Machine Learning Success

Cloudera

You’ve probably heard it more than once: Machine learning (ML) can take your digital transformation to another level. We recently published a Cloudera Special Edition of Production Machine Learning For Dummies eBook. Chapter six of the eBook focuses on the 10 steps for making ML operational.

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Making Remarkable Energy Grids a Reality

CIO

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. Read our latest eBook and view our energy webpage to learn more about exciting advancements in energy. Just starting out with analytics?

Energy 167
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3 Technical Innovations Ready to Drive Enterprise AI Adoption

IDC

Automated Machine Learning. Automated machine learning (AutomML) is the automation of the end-to-end process of applying machine learning (ML) to real-world problems. Here are just three of the technical innovations that enterprises can use to better leverage the disruptive power of AI: 1. Embedded AI.

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The Importance of Records Management in an Era of Compliance and Digital Efficiency

Newgen Software

These technologies, when implemented as per clearly defined and uniformly applied RM strategies and policies, can greatly contributeto the effective management of the information life-cycle across the organization. The statistics indicate that AI and Machine Learning (ML) are becoming more and more integrated into document management systems.

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10 Keys to AI Success in 2021

Capitalizing on the incredible potential of AI means having a coherent AI strategy that you can operationalize within your existing processes. Download this eBook to learn about: Achieving ROI with AI and delivering valuable results with urgency. How MLOps streamlines machine learning from data to value.

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Winning With Data in the Fight Against Fraud, Waste, and Abuse

Cloudera

These platforms become even more powerful when integrated with AI and machine learning, as well as other forms of automation. Many government agencies are still stuck running legacy servers and other infrastructure that, while they may have fulfilled their past purposes, cannot keep pace with modern data requirements and strategies.

Data 101
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DataRobot Celebrates a Decade of Innovation with Industry Recognition

DataRobot

This marks a full decade since some of the brightest minds in data science formed DataRobot with a singular vision: to unlock the potential of AI and machine learning for all—for every business, every organization, every industry—everywhere in the world. We’re excited to continue this momentum through the rest of 2022 and beyond.