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Are enterprises ready to adopt AI at scale?

CIO

To overcome those challenges and successfully scale AI enterprise-wide, organizations must create a modern data architecture leveraging a mix of technologies, capabilities, and approaches including data lakehouses, data fabric, and data mesh. To learn more about how enterprises can prepare their environments for AI , click here.

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Unlocking the full potential of enterprise AI

CIO

1] The limits of siloed AI implementations According to SS&C Blue Prism , an expert on AI and automation, the chief issue is that enterprises often implement AI in siloes. SS&C Blue Prism argues that combining AI tools with automation is essential to transforming operations and redefining how work is performed.

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GitHub Removes Data Barriers for EU Enterprises 

Xebia

On October 29, 2024, GitHub, the leading Copilot-powered developer platform, will launch GitHub Enterprise Cloud with data residency. This will enable enterprises to choose precisely where their data is stored — starting with the EU and expanding globally.

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Data distilleries: CIOs turn to new efficient enterprise data platforms

CIO

In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. Yet, the true value of these initiatives is in their potential to revolutionize how data is managed and utilized across the enterprise. Now, EDPs are transforming into what can be termed as modern data distilleries.

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DDN Nabs $300M From Blackstone As AI Keeps Data Storage Hot

Crunchbase News

Private equity giant Blackstone Group is making a $300 million strategic investment into DDN , valuing the Chatsworth, California-based data storage company at $5 billion. In general, datacenters and data storage and management have been hot among investors as businesses of all sizes try to use their data to scale up AI initiatives.

Storage 124
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Beyond automation: Realizing the full potential of agentic AI in the enterprise

CIO

Enterprises have progressively adopted new waves of automation paradigms from simple scripts and bots to robotic process automation (RPA) and cloud-based automation platforms. This paper explores the emergence of agentic AI in the enterprise through three key themes: Core properties of a true agentic system. a complexity tradeoff).

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Digital twins at scale: Building the AI architecture that will reshape enterprise operations

CIO

This involves data cleaning, transformation and storage within a scalable infrastructure. Utilizing cloud-based solutions can provide the necessary flexibility and storage capacity. Data processing and management Once data is collected, it must be processed and managed efficiently.