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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO Business Intelligence

With the AI revolution underway which has kicked the wave of digital transformation into high gear it is imperative for enterprises to have their cloud infrastructure built on firm foundations that can enable them to scale AI/ML solutions effectively and efficiently.

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Steps taken to build Sevita’s first enterprise data platform

CIO Business Intelligence

You ’re building an enterprise data platform for the first time in Sevita’s history. We had plenty of reporting, but very little data insight, and no real semblance of a data strategy. We knew we had to bring the data together in an enterprise data platform. What’s driving this investment? How is the new platform helping?

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AI market evolution: Data and infrastructure transformation through AI

CIO Business Intelligence

research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. The Nutanix State of Enterprise AI Report highlights AI adoption, challenges, and the future of this transformative technology. Nutanix commissioned U.K.

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Generative AI in the Enterprise

O'Reilly on Data

In enterprises, we’ve seen everything from wholesale adoption to policies that severely restrict or even forbid the use of generative AI. OpenAI in particular offers enterprise services, which includes APIs for training custom models along with stronger guarantees about keeping corporate data private. What’s the reality?

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future.

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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

We may look back at 2024 as the year when LLMs became mainstream, every enterprise SaaS added copilot or virtual assistant capabilities, and many organizations got their first taste of agentic AI. AI at Wharton reports enterprises increased their gen AI investments in 2024 by 2.3

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The great repatriation? IT leaders reset cloud strategies to optimize value

CIO Business Intelligence

Moreover, these repatriations show how CIOs have a shrewder, more fluid cloud strategy today to ensure they don’t settle for less than what they want. As a result, organizations were unprepared to successfully optimize or even adequately run their cloud deployments and manage costs, prompting their move back to on-prem.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources.