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In today’s Tech Pulse, gain insight into how:

• Agentic AI relies on trusted, high-quality data to make accurate autonomous decisions and unlock enterprise-scale potential.

• Organized unstructured data transforms AI initiatives, proving that using AI to prepare data for AI is key to success.

• Businesses are embracing the data economy by monetizing their datasets, turning information into revenue-generating assets.

Each of these articles is penned by members of Forbes Technology Council, key luminaries shaping the future of technology leadership.

Grab your coffee, and let's dive in!

Trusted Data: The Backbone of Agentic AI

Agentic AI systems are revolutionizing productivity by automating complex tasks through intelligent reasoning. But the key to unlocking their full potential lies in one critical component: trusted data. Without it, autonomous intelligence falters. To succeed, organizations must establish robust data practices. 

Here's what that entails:

🛠 Governance & Quality Assurance: Implement frameworks that prevent errors and promote reliable AI operations.

📚 Semantic Layers & Context: Utilize ontologies and taxonomies for nuanced understanding and reasoning.

🚀 Real-Time Processing: Ensure data systems support immediate, multimodal access across text, visuals, and other formats.

🔐 Security & Identity: Build systems that are resilient to identity-propagation risks, with accountability at the forefront.

⚙️ Domain-Specific Reasoning: Train models on fine-tuned data for accurate, context-aware decision-making.

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Unstructured Data Needs AI: Organize or Miss Out

Think of your unstructured data (emails, policies, contracts) as a vast library. Without organization, AI can’t find the knowledge it needs. Scattered, unlabeled data leads to incomplete AI outcomes, but organized data empowers AI to deliver insights with precision.

Want to make your data AI-ready? Start here:

💡 AI for AI: Use AI tools to discover, classify, and label unstructured data automatically.

🗂 Unified Governance: Avoid new silos with consistent policies across all repositories.

🔍 Actionable Insights: Enable AI to answer nuanced queries, like locating contracts with specific clauses.

🔒 Guardrails: Protect sensitive data by ensuring it’s securely classified and policy-compliant.

📈 Scalable Success: Proper governance lets pilot AI programs seamlessly scale across the enterprise.

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The Data Economy: Turning Insights Into Dollars

Data has evolved from a tool for decision-making into a critical business asset and revenue generator. Companies are no longer just using it; they’re selling it, licensing it, and building new business models around it. Welcome to data’s next act.

Here’s how businesses are driving revenue from data today:

📊 DaaS (Data-as-a-Service): Platforms like AWS and Snowflake enable companies to sell curated datasets.

🐾 Niche Data as Gold: Even unique datasets, like cat DNA from Basepaws, can lead to major acquisitions.

🔋 Industry Use Cases: From solar pricing transparency to AI-powered freight quotes, structured data is creating new marketplaces.

🔒 Privacy & Compliance: Tools like anonymization and synthetic data ensure monetization is lawful and trustworthy.

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Wrapping Up

If these articles sparked your interest, we have a network that you will absolutely love: Forbes Technology Council.

This exclusive, vetted community brings together the brightest minds in technology — founders, CEOs, CIOs, CTOs, CISOs, and other leaders of technology-focused teams.

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