Remove Measurement Remove Modeling Remove Recreation/Entertainment
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Unbundling the Graph in GraphRAG

O'Reilly on Data

Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. The haphazard results may be entertaining, although not quite based in fact. Run each chunk of text through an embedding model to compute a vector for it.

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What to expect from AI in the enterprise in 2025

CIO Business Intelligence

This is particularly true with enterprise deployments as the capabilities of existing models, coupled with the complexities of many business workflows, led to slower progress than many expected. Foundation models (FMs) by design are trained on a wide range of data scraped and sourced from multiple public sources.

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Goodbye digital transformation, hello AI-first business transformation

CIO Business Intelligence

Instead of seeing digital as a new paradigm for our business, we over-indexed on digitizing legacy models and processes and modernizing our existing organization. This only fortified traditional models instead of breaking down the walls that separate people and work inside our organizations. Twitch reimagined gaming.

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

Beyond that, we recommend setting up the appropriate data management and engineering framework including infrastructure, harmonization, governance, toolset strategy, automation, and operating model. Measure user adoption and engagement metrics to not just understand products take-up, but also to enhance the overall product propositions.

Insurance 250
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AI Governance: Act now, thrive later

CIO Business Intelligence

While there is a lot of effort and content that is now available, it tends to be at a higher level which will require work to be done to create a governance model specifically for your organization. Governance is action and there are many actions an organization can take to create and implement an effective AI governance model.

Testing 93
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Glossary of Digital Terminology for Career Relevance

Rocket-Powered Data Science

7) Security (airports, shopping malls, entertainment & sport events). Autonomous Vehicles: Self-driving (guided without a human), informed by data streaming from many sensors (cameras, radar, LIDAR), and makes decisions and actions based on computer vision algorithms (ML and AI models for people, things, traffic signs,…).

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Agentic AI: Decisive, operational AI arrives in business

CIO Business Intelligence

AI agents can, for example, handle customer service issues, such as offering a refund or replacement, autonomously, and they can identify potential threats on an organization’s network and proactively take preventive measures. A process called reflection uses one AI model to reflect the answer given by another.

ROI 138