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Are enterprises ready to adopt AI at scale?

CIO

Whether it’s a financial services firm looking to build a personalized virtual assistant or an insurance company in need of ML models capable of identifying potential fraud, artificial intelligence (AI) is primed to transform nearly every industry.

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Build a strong data foundation for AI-driven business growth

CIO

In the quest to reach the full potential of artificial intelligence (AI) and machine learning (ML), there’s no substitute for readily accessible, high-quality data. To fully leverage AI and analytics for achieving key business objectives and maximizing return on investment (ROI), modern data management is essential.

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Gartner projects major IT spending increases for 2025

CIO

TRECIG, a cybersecurity and IT consulting firm, will spend more on IT in 2025 as it invests more in advanced technologies such as artificial intelligence, machine learning, and cloud computing, says Roy Rucker Sr., Spending on advanced IT Some business and IT leaders say they also anticipate IT spending increases during 2025.

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Transforming workloads: Harnessing AI within VMware environments

CIO

CEOs and boards of directors are tasking their CIOs to enable artificial intelligence (AI) within the organization as rapidly as possible. The networking, compute, and storage needs not to mention power and cooling are significant, and market pressures require the assembly to happen quickly. AI and analytics integration.

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Synthetic DNA startup Catalog partners with Seagate for its DNA-based data storage platform

TechCrunch

However, data storage costs keep growing, and the data people keep producing and consuming can’t keep up with the available storage. The partnership focuses on automating the DNA-based storage platform using Seagate’s specially designed electronic chips. Data needs to be stored somewhere.

Storage 206
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The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO

Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need. Yet many are struggling to move into production because they don’t have the right foundational technologies to support AI and advanced analytics workloads.

Analytics 205
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Understanding Data Storage: Lakes vs. Warehouses

DevOps.com

Now more than ever, companies are looking for new ways to incorporate data analytics into their daily operations and leverage data-driven insights to improve business functions. The post Understanding Data Storage: Lakes vs. Warehouses appeared first on DevOps.com. However, understanding […].

Storage 145