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Thursday’s AI Report
• 1. 📊 Google opens vast AI data trove
• 2. 🔏 Protect your online info with Incogni
• 3. 🌍 How this company used AI to go viral on social
• 4. ✔️ Book an AI readiness assessment with Agentic Brain
• 5. 💡 Partner Perspectives
• 6. ⚙️ Trending AI tools
• 7. ⚠️ #2 iPhone app sparks privacy fears
• 8. 🔋 Oracle raises $15B for bold AI push
• 9. 📑 Recommended resources
Read Time: 5 minutes
❓Thursday’s Partner Perspective: How can employers ensure their AI hiring tools don’t unintentionally replicate bias and expose them to legal risk? Labor & Employment Attorney at Fisher Phillips, Karen Odash, knows. Scroll down to find out more ⬇️
✅ Refer your friends and unlock rewards. Scroll to the bottom to find out more!
Google has released a Data Commons Model Context Protocol (MCP) Server, which will give AI developers and tech companies direct access to one of the largest collections of public, real-world datasets so they can train their models on data from authoritative sources, including government surveys, local administrative data, and statistics from global bodies, like the United Nations.
Google’s new MCP server connects AI models and agents to Data Commons, a knowledge bank with billions of data points spanning economics, demographics, health, and the environment.
Enterprises and developers can now ground their AI outputs in verified, context-rich data sources, which should help to reduce hallucinations, improve reliability, and increase the quality of AI outputs.
MCP, which was introduced by Anthropic, is like a universal adaptor or USB port that allows any AI model to plug into different data sources, which helps it pull in information and understand the context of requests better.
By opening up access to this colossal, structured public dataset, Google is setting a new bar for transparency and accuracy in AI. Enterprises that tap into this data can build smarter AI tools and reduce risks from unreliable outputs, which could give them the ultimate competitive edge.
Your number, address, DOB, and even your SSN can show up in a Google search.
Marketers buy it, scammers exploit it, and in the worst cases, it ends up for sale on the dark web.
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By Karen Odash · Labor & Employment Attorney at Fisher Phillips
The AI Report Partner Perspectives Column
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The video got 22M+ views and 1.2M+ likes across their social platforms, and the business reported a significant boost in in-store visits as a result.
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New iPhone app, Neon, is paying users to record their calls. It’s then taking those recordings and selling them to AI firms for training, and as a result, it’s now #2 in the Apple App Store.
Although the recordings are anonymized, it still raises major ethical and legal questions; for example, a Neon user might consent to have their call recorded, but the recipient might not, which could be a violation of privacy.
AI companies are desperate for real-world dialogue to make their AI outputs more authentically human, and Neon is capitalizing on this need and people’s willingness to make a quick buck by selling their private data.
Oracle is reportedly preparing a $15B corporate bond sale (its largest in years) to help fund a massive push into AI infrastructure in an attempt to keep pace with rivals like Amazon, Microsoft, and Google.
It plans to use the capital to expand its data centers, invest in AI chips, and strengthen its cloud services, which are tailored for AI workloads, as enterprises demand more AI-ready computing power.
The size of the sale, and its recent $3B cloud agreement with OpenAI (in which it will provide the start-up with compute power over five years), shows that Oracle is set on becoming a critical part of the AI supply chain.
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The Future of AI Partnerships: OpenAI x Oracle
This podcast discusses AI partnerships, focusing on the recent developments between Oracle and OpenAI, and the dynamics between major players like Microsoft and Anthropic.
Until next time, Martin, Liam, and Amanda.
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