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AI Without Mistakes: How Good Data Makes It Happen
Google Search gets AI updates, Amazon launches agentic AI group, OpenAI AI agent pricing, Musk's block on OpenAI denied and more!
Everyday AI
March 05, 2025
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Outsmart The Future
Today in Everyday AI
7 minute read
🎙 Daily Podcast Episode: Your data is your most valuable asset. So how can you harness it safely and effectively with AI? We break it down. Give it a listen.
🕵️♂️ Fresh Finds: Ex-OpenAI researcher subpoenaed in AI copyright case, Google reports AI terrorism deepfakes to Australia and McDonald’s new AI initiative. Read on for Fresh Finds.
🗞 Byte Sized Daily AI News: Google Search gets AI updates, Amazon launches agentic AI group, OpenAI AI agent pricing and judge denies Musk’s block on OpenAI. For that and more, read on for Byte Sized News.
🚀 AI In 5: We ranked the top AI tools and features of 2024! See it here
🧠 Learn & Leveraging AI: Pairing AI with your data can be a gold mine IF done correctly and safely. We explain how it’s done. Keep reading for that!
↩️ Don’t miss out: Did you miss our last newsletter? We talked about OpenAI’s $50M education initiative, Amazon's AI reasoning model and Google unveiling an open-source wildlife AI model. Check it here!
AI Without Mistakes: How Good Data Makes It Happen 📊
Your data is your moat.
Everyone's got AI now.
Find out how reliable data can make your competitive edge happen. Barr Moses, Co-Founder and CEO of Monte Carlo, joins us to discuss.
Join the conversation and ask Jordan and Barr questions on AI and data here.
Also on the pod today:
• Adoption of Data Practices 📊
• GenAI, LLMs, and Data Integration 🔀
• Data Use Case Examples 💼
It’ll be worth your 30 minutes:
Listen on our site:
Click to listen
Subscribe and listen on your favorite podcast platform
Listen on:
Here’s our favorite AI finds from across the web:
New AI Tool Spotlight – Folk is an AI sales assistant and CRM, Sagehood provides AI agents for a 360° analysis of the U.S. stock market and Fernando AI builds apps and websites in minutes.
OpenAI – An ex-OpenAI researcher was subpoenaed in an AI copyright case against OpenAI.
GPT-4.5 is now available for more ChatGPT users.
Google – Google has reported a large amount of AI deepfake terrorism content to Australian regulators.
Google’s Shopping tab has a new AI tool that takes your suggestions.
Amazon – Amazon Prime Video is testing AI-based dubbing on licensed movies and series.
AI in Media - The LA Times has removed its new AI tool after it made a controversial mishap.
Read This – McDonald’s new AI initiative targets order accuracy and detects equipment issues.
AI in Education – A student used AI to beat Amazon’s technical interview.
1. Google's AI Search Gets a Major Upgrade 🔍
Google announced it will expand its AI Overviews feature and introduce AI Mode, a chatbot-like experience that prioritizes AI-generated search results. Currently in testing for Google One AI Premium subscribers, AI Mode aims to provide faster, more insightful responses to complex queries, tapping into Google's vast search index and real-time data.
This shift reflects Google's confidence in its AI capabilities, even as it reassures users that its traditional linking to websites will remain intact.
2. OpenAI's Bold Pricing Strategy For AI Agents 😳
OpenAI plans to charge up to $20,000 monthly for its advanced AI agents aimed at large enterprises, while a more accessible version will cost $2,000 for high-income professionals. This sharp increase from its previous $200 subscription reflects a significant shift in strategy, as OpenAI seeks to generate 20% to 25% of its long-term revenue from these premium services.
As OpenAI navigates this high-stakes landscape, the coming months will be pivotal in determining whether this gamble pays off or leads to further adjustments in its approach, impacting the future of AI monetization.
3. Amazon Launches New Agentic AI Group 👀
Amazon is stepping up its game in the AI arena with the formation of a dedicated group focused on agentic artificial intelligence, as revealed in an internal email by AWS CEO Matt Garman. This initiative, led by Swami Sivasubramanian, aims to automate user tasks seamlessly, allowing for a more hands-off experience—something highlighted in the upcoming Alexa updates.
With Garman predicting agentic AI could become a multi-billion dollar business for AWS, this move underscores the tech giant's commitment to leading innovation in the field.
4. Judge Denies Musk's OpenAI Block 🧑⚖️
In a significant ruling, a federal judge in Northern California has denied Elon Musk’s request to halt OpenAI’s transition to a for-profit model, citing insufficient evidence for an injunction. U.S. District Court Judge Yvonne Gonzalez Rogers emphasized the potential for “irreparable harm” if public funds are used to support this conversion. This decision comes amidst Musk's ongoing lawsuit against OpenAI, where he claims the organization is straying from its nonprofit mission.
As OpenAI grapples with Musk's unsolicited $97.4 billion takeover bid and its corporate restructuring, the implications for the AI landscape and innovation remain profound, affecting stakeholders across the industry
5. Meta Expands Facial Recognition Tools to the U.K. 👱️
Meta has rolled out its facial recognition tools in the U.K., aiming to combat scams using the likenesses of public figures and enhance account recovery for users. This expansion follows discussions with local regulators and adds to the company’s ongoing efforts to navigate the tricky waters of biometric data use.
The tools, which are optional for users, will also soon be tested across the European Union, where Meta hopes to gain acceptance amid its controversial history with facial recognition technology.
6. CMA Clears Microsoft-OpenAI Partnership 👍
The Competition and Markets Authority (CMA) announced that Microsoft's partnership with OpenAI does not warrant investigation under U.K. merger laws, despite initial concerns over control and competition. After reviewing the evolving dynamics, the CMA noted that Microsoft only exerts material influence rather than outright control over OpenAI’s commercial policies.
This decision comes after Microsoft has adjusted its partnership terms, allowing OpenAI more autonomy, including a fresh deal with SoftBank for additional computing capacity.
7. Pentagon Signs AI Military Deal 🪖
The U.S. Defense Department has tapped start-up Scale AI to spearhead “Thunderforge,” a groundbreaking project utilizing AI for military logistics. This initiative aims to enhance decision-making speed for commanders by integrating advanced AI tools from tech giants like Microsoft and Google with systems developed by Anduril.
By streamlining resource movement across land, sea, and air, Thunderforge promises to tackle the complexities of contemporary warfare head-on.
8. Anthropic Scrubs AI Safety Commitments Amid Political Shift 🧼
Anthropic has removed several voluntary AI safety commitments made in 2023 alongside the Biden Administration from its website, as reported by The Midas Project. These commitments, which aimed to promote transparency and mitigate AI risks, included sharing information on AI bias and conducting security tests before releasing AI systems.
As the political landscape changes with the Trump Administration's emphasis on "free from ideological bias" AI, companies like Anthropic and OpenAI are adjusting their public policies, raising questions about the future of ethical AI practices.
Top AI Tools and Features of 2024
Wondering what tools to use in 2025?
We decided to rank the biggest and most popular AI tools released in 2024 and give our quick opinion on each feature and tool.
Which ones came out on top?
Find out in today's AI in 5.
In our AI in 5 segment on YouTube, we often create different types of videos. Which are your favorites? |
🦾How You Can Leverage:
When it comes to AI, data can make or break your business.
Yet, studies show only 33% of business leaders trust their data.
Record scratch Say whaaaaaa?!
If leaders can’t even trust their own data, then why is the collective biz world rushing to connect LLMs to ….. their data?
Barr Moses helped us sort the data disaster.
Barr is the Cofounder and CEO of Monte Carlo, an AI-ready data observability platform.
She cut it straight today on Everyday AI.
Working with titans like Fox, Roche, and Credit Karma, Moses sees firsthand how data reliability makes or breaks AI implementation. Her message?
No data beats bad data. Full stop.
Ready to get your classifications in a row and find out why trustworthy data matters?
Same.
Here’s the 3 takeaways you need to know.
1 – The Shift From Model Wars to Data Wars 🚀
Forget about which AI model you're using. That's yesterday's battle. The real fight? It's all about your company’s data you pair up with said model.
Moses laid it out plain: Every company can access world-class AI models. But only YOU have your company's data.
That’s the moat.
Here's the truth bomb: A basic AI model with pristine data will smoke a fancy AI model running on garbage data every single time.
Take Credit Karma. Barr said they're not winning because they've got some secret AI sauce. They're winning because they know exactly when you're gonna offer you your next credit card.
This isn't about data volume. It's about data truth.
Try this:
A KPMG survey found that only 35% of executives fully trust their company’s data. Looks like it's not just your finance and sales teams disagreeing
Create a "data truth" dashboard. Track every single time your data gives conflicting answers about the same thing. You'd be shocked how often finance and sales are living in different realities.
Run a "data lineage" test. Pick your most important metric and trace exactly where that data comes from. If you can't map it end-to-end in 5 minutes, you've got problems.
2 – The Rise of Unrestricted Data Intelligence 💡
Could unstructured data be the secret weapon for AI success?
That's exactly what Barr revealed when discussing her work with insurance companies.
Imagine turning messy customer service chats into structured, actionable data. We're talking about AI that can read between the lines of every customer interaction.
The game isn't just about having clean data anymore. It's about turning chaos into clarity.
One insurance company's doing exactly this – using AI to score customer service interactions on a 10-point scale.
Genius.
Try this:
Unstructured data accounts for at least 80% of all data generated.
Harnessing this data is crucial for AI success.
3 – The New Rules of Data Observability 🔍
Remember when bad data just meant an awkward meeting with your boss?
Barr said 10-15 years ago, bad data could just be a ‘dang. Got that one wrong. Lolz.”
Now, bad data can cut Goliaths off at the knees.
Bad RAG pipelines, as an example, means your AI could be making thousands of wrong decisions per second.
Yikes.
Barr shared a brilliant example about baseball analytics. A fastball under 80 mph isn't just wrong – it's impossible. But how many impossible things is your data saying right now?
The old way was finding out about data problems from angry customers. The new way?
Catching that fastball before it even hits the catcher's mitt.
Try this:
Create "impossible data" rules for every key metric. If you're selling shoes, a size 847 probably isn't real.
Make your system catch that automatically.
Data protection is getting a glow-up with AI. This article shows you how to better think about automated threat detection, governance, and resilience—all in real time.
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Numbers to watch
$488 Million
CoreWeave has already made $488M and could receive an additional $4 billion IPO.
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