Wild Intelligence by Yael Rozencwajg

Wild Intelligence by Yael Rozencwajg

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Wild Intelligence by Yael Rozencwajg
Wild Intelligence by Yael Rozencwajg
🎯 How to with AI agents | Deep dive: can we qualify and quantify AI agents' contributions to improved data governance?
How to build with AI

🎯 How to with AI agents | Deep dive: can we qualify and quantify AI agents' contributions to improved data governance?

Organizations to gain a comprehensive understanding of the value AI agents bring to data governance | Get started with AI | How-to guides and features

Aug 28, 2024
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Wild Intelligence by Yael Rozencwajg
Wild Intelligence by Yael Rozencwajg
🎯 How to with AI agents | Deep dive: can we qualify and quantify AI agents' contributions to improved data governance?
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Video by Google DeepMind

Can we qualify and quantify AI agents' contributions to improved data governance?

AI agents can significantly address the data governance challenges hindering enterprise AI adoption.

AI agents can accelerate the creation of a robust data foundation by automating data discovery, classification, and quality assessment processes.

Additionally, they can monitor data usage, detect anomalies, and enforce policies, reducing the risk of breaches and compliance violations.

However, it's crucial to note that AI agents are tools, not magic solutions.

Human oversight and judgment remain essential for effective data governance.

Will the over-reliance on AI agents for data governance ultimately erode human expertise and critical thinking in this domain?

↓ ↓ ↓ Continue reading ↓ ↓ ↓

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“How to with AI agents” is a five-part weekly series exploring AI agents’ capacity to revolutionize how we work, live, and interact with technology.

Part 1: AI agents, how to perform?

We need to understand the direction of AI agents’ improvement over time and acknowledge the importance of a combination of workflow systems, human expertise, and AI for well-balanced, ethical, and responsible distribution.

Part 2: Targeting the underserved

We'll likely see AI Agent solutions initially addressing niche markets or tasks currently considered too simple or mundane for humans. Imagine AI chatbots handling basic customer service inquiries or virtual assistants managing simple logistics tasks.

Part 3: Gradual market expansion

As AI Agent capabilities mature, they'll start encroaching on more complex tasks, gradually taking over mainstream functions currently performed by humans. Think of AI-powered financial advisors or intelligent document review tools.

Part 4: Strategy as the key driver

This market expansion hinges on continuous improvement in AI Agent performance. Advancements in areas like natural language processing, decision-making algorithms, and user interaction will be crucial.

Part 5: The democratization of AI

Disruptive innovation often leads to more accessible and affordable technologies. We might see AI Agents becoming readily available for small businesses and individuals, not just large corporations.

Deep dive: Deep dive: does a higher level of automation in AI mean less human control?

↓ ↓ ↓ More below ↓ ↓ ↓

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