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Are enterprises ready to adopt AI at scale?

CIO Business Intelligence

As data is moved between environments, fed into ML models, or leveraged in advanced analytics, considerations around things like security and compliance are top of mind for many. In fact, among surveyed leaders, 74% identified security and compliance risks surrounding AI as one of the biggest barriers to adoption.

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Generative AI is pushing unstructured data to center stage

CIO Business Intelligence

When I think about unstructured data, I see my colleague Rob Gerbrandt (an information governance genius) walking into a customer’s conference room where tubes of core samples line three walls. While most of us would see dirt and rock, Rob sees unstructured data. have encouraged the creation of unstructured data.

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A Detailed Introduction on Data Lakes and Delta Lakes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A data lake is a central data repository that allows us to store all of our structured and unstructured data on a large scale. The post A Detailed Introduction on Data Lakes and Delta Lakes appeared first on Analytics Vidhya.

Data Lake 271
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AI agents will transform business processes — and magnify risks

CIO Business Intelligence

“The systems are fed the data, and trained, and then improve over time on their own.” Adding smarter AI also adds risk, of course. “At The big risk is you take the humans out of the loop when you let these into the wild.” Many risks are the same as gen AI in general since it’s gen AI that powers agentic systems.

Risk 136
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5 tips for better business value from gen AI

CIO Business Intelligence

The CIO and CMO partnership must ensure seamless system integration and data sharing, enhancing insights and decision-making. To drive gen-AI top-line revenue impacts, CIOs should review their data governance priorities and consider proactive data governance and dataops practices that go beyond risk management objectives.

Sales 143
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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]

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Use Text Analytics Technologies To Handle Mountains Of Unstructured Data

Boris Evelson

Enterprises are sitting on mountains of unstructured data – 61% have more than 100 Tb and 12% have more than 5 Pb! Luckily there are mature technologies out there that can help. First, enterprise information architects should consider general purpose text analytics platforms.