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Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

For example, at a company providing manufacturing technology services, the priority was predicting sales opportunities, while at a company that designs and manufactures automatic test equipment (ATE), it was developing a platform for equipment production automation that relied heavily on forecasting. And guess what?

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3 powerful lessons of using data governance frameworks

CIO Business Intelligence

The first published data governance framework was the work of Gwen Thomas, who founded the Data Governance Institute (DGI) and put her opus online in 2003. They already had a technical plan in place, and I helped them find the right size and structure of an accompanying data governance program.

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Core technologies and tools for AI, big data, and cloud computing

O'Reilly on Data

Recent improvements in tools and technologies has meant that techniques like deep learning are now being used to solve common problems, including forecasting, text mining and language understanding, and personalization. Temporal data and time-series analytics. Forecasting Financial Time Series with Deep Learning on Azure”.

Big Data 260
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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

times compared to 2023 but forecasts lower increases over the next two to five years. The World Economic Forum shares some risks with AI agents , including improving transparency, establishing ethical guidelines, prioritizing data governance, improving security, and increasing education.

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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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The 4 Core Features of Successful Data Governance Automation

CIO Business Intelligence

IDC forecasts that global spending on digital transformation will reach $2.8 By Milan Shetti, CEO Rocket Software If we’ve learned anything over the last few years facing a global pandemic, stalled supply chains, rising inflation, and sinking economies, it’s that change is the new normal in today’s markets.

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Becoming a machine learning company means investing in foundational technologies

O'Reilly on Data

Here are some typical ways organizations begin using machine learning: Build upon existing analytics use cases: e.g., one can use existing data sources for business intelligence and analytics, and use them in an ML application. Modernize existing applications such as recommenders, search ranking, time series forecasting, etc.