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CIOs are rethinking how they use public cloud services. Here’s why.

CIO Business Intelligence

By moving applications back on premises, or using on-premises or hosted private cloud services, CIOs can avoid multi-tenancy while ensuring data privacy. The academic community expects data to be close to its high-performance compute resources, so they struggle with these egress fees pretty regularly, he says. Judes Perry.

Cloud 349
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Have we reached the end of ‘too expensive’ for enterprise software?

CIO Business Intelligence

This trend towards natural language input will spread across applications, making the UX more intuitive and less constrained by traditional UI elements. Before LLMs and diffusion models, organizations had to invest a significant amount of time, effort, and resources into developing custom machine-learning models to solve difficult problems.

Software 321
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EXL orchestrates AI for real business outcomes

CIO Business Intelligence

While its potential is broad, that makes it difficult to pinpoint its practical applications in specific industries. Without the expertise or resources to experiment with and implement customized initiatives, enterprises often sputter getting projects off the ground. Cost and accuracy concerns also hinder adoption.

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5 top business use cases for AI agents

CIO Business Intelligence

In a report released in early January, Accenture predicts that AI agents will replace people as the primary users of most enterprise systems by 2030. Youd start seeing off-the-shelf applications both open source and proprietary that made it easier to build them, says Daniel Avancini, the companys CDO.

CTO Hire 359
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ChatGPT, the rise of generative AI

CIO Business Intelligence

Business applications for conversational AI have, for several years already, included help desks and service desks. Enterprise applications of conversational AI today leverage responses from either a set of curated answers or results generated from searching a named information resource.

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The 5 S’s of cyber resilience: How to rethink enterprise data security and management

CIO Business Intelligence

To address these challenges, organizations need to implement a unified data security and management system that delivers consistent backup and recovery performance. Such systems should include global search capabilities for quick resource identification and automated verification of backup recoverability.

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Prioritizing AI investments: Balancing short-term gains with long-term vision

CIO Business Intelligence

A contrasting study by Qlik indicates that 21% of enterprises face real challenges with AI due to lack of trusted data for AI applications , highlighting the need for reliable data platforms. A decision made with AI based on bad data is still the same bad decision without it.