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Unlocking the full potential of enterprise AI

CIO Business Intelligence

Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1] AI in action The benefits of this approach are clear to see.

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

CIO Business Intelligence

The extensive pre-trained knowledge of the LLMs enables them to effectively process and interpret even unstructured data. This allows companies to benefit from powerful models without having to worry about the underlying infrastructure. An important aspect of this democratization is the availability of LLMs via easy-to-use APIs.

Software 128
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5 tips for better business value from gen AI

CIO Business Intelligence

According to AI at Wartons report on navigating gen AIs early years, 72% of enterprises predict gen AI budget growth over the next 12 months but slower increases over the next two to five years. Improving data quality and integrating new data sources to enrich customer and prospect data are vital for applying AI in marketing and sales.

Sales 143
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An AI Data Platform for All Seasons

Rocket-Powered Data Science

Pure Storage empowers enterprise AI with advanced data storage technologies and validated reference architectures for emerging generative AI use cases. Summary AI devours data. I believe that the time, place, and season for artificial intelligence (AI) data platforms have arrived. AI Then and AI Now!

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7 Enterprise Applications for Companies Using Cloud Technology

Smart Data Collective

The sudden growth is not surprising, because the benefits of the cloud are incredible. Enterprise cloud technology applications are the future industry standard for corporations. Here’s how enterprises use cloud technologies to achieve a competitive advantage in their essential business applications. Testing new programs.

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Mastering Multi-Cloud with Cloudera: Strategic Data & AI Deployments Across Clouds

Cloudera

As enterprises navigate complex data-driven transformations, hybrid and multi-cloud models offer unmatched flexibility and resilience. Heres a deep dive into why and how enterprises master multi-cloud deployments to enhance their data and AI initiatives. The terms hybrid and multi-cloud are often used interchangeably.

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Outdated business apps can cloud your AI vision

CIO Business Intelligence

Outdated software applications are creating roadblocks to AI adoption at many organizations, with limited data retention capabilities a central culprit, IT experts say. Moreover, the cost of maintaining outdated software, with a shrinking number of software engineers familiar with the apps, can be expensive, he says.

Insurance 108