Remove Cost-Benefit Remove Interactive Remove Unstructured Data
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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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5 tips for better business value from gen AI

CIO Business Intelligence

Still, CIOs have reason to drive AI capabilities and employee adoption, as only 16% of companies are reinvention ready with fully modernized data foundations and end-to-end platform integration to support automation across most business processes, according to Accenture. Paul Boynton, co-founder and COO of Company Search Inc.,

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An Introduction To Data Dashboards: Meaning, Definition & Industry Examples

datapine

Learn all about data dashboards with our executive bite-sized summary! What Is A Data Dashboard? Without the existence of dashboards and dashboard reporting practices, businesses would need to sift through colossal stacks of unstructured data, which is both inefficient and time-consuming. Legacy Data Solutions.

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An AI Data Platform for All Seasons

Rocket-Powered Data Science

I believe that the time, place, and season for artificial intelligence (AI) data platforms have arrived. To see this, look no further than Pure Storage , whose core mission is to “ empower innovators by simplifying how people consume and interact with data.”

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

Cloudera

Adopting hybrid and multi-cloud models provides enterprises with flexibility, cost optimization, and a way to avoid vendor lock-in. Cost Savings: Hybrid and multi-cloud setups allow organizations to optimize workloads by selecting cost-effective platforms, reducing overall infrastructure costs while meeting performance needs.

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Structural Evolutions in Data

O'Reilly on Data

” Each step has been a twist on “what if we could write code to interact with a tamper-resistant ledger in real-time?” ” I’ve called out the data field’s rebranding efforts before; but even then, I acknowledged that these weren’t just new coats of paint. .” The elephant was unstoppable.

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

CIO Business Intelligence

GenAI as ubiquitous technology In the coming years, AI will evolve from an explicit, opaque tool with direct user interaction to a seamlessly integrated component in the feature set. The extensive pre-trained knowledge of the LLMs enables them to effectively process and interpret even unstructured data.

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