Jason Varner (@smarthelping) header
Jason Varner (@smarthelping) profile picture

Data and AI - Business Opportunities: [email protected]

Joined February 2013
Photo by Jason Varner (@smarthelping)Photo by Jason Varner (@smarthelping)Photo by Jason Varner (@smarthelping)Photo by Jason Varner (@smarthelping)Photo by Jason Varner (@smarthelping)Photo by Jason Varner (@smarthelping)Photo by Jason Varner (@smarthelping)Photo by Jason Varner (@smarthelping)
Spirit airlines has gone out of business, RIP. but they have a data sale coming up and $GOOGL looks like it will be be the winning bid at around $10M on Nov. 6th. And yes they are buying it for the purpose of AI training. Mercor bid $7.5M Micro1 bid $12.5M (this bid came after the auction and that's why it's higher) The main value in the records is that it shows how an actual airline operates. Lawmakers cited approximately 100 million emails and 500 million Microsoft Teams messages in the proposed transaction; the final delivered scope is subject to exclusions and safeguards. Privacy is the central obstacle. The proposed safeguards include: - Excluding passenger databases, including specified transaction, refund, onboard-purchase and Wi-Fi-sales systems. - Having Tonic.ai independently de-identify remaining material, such as corporate emails, before delivery. - Testing for re-identification risk, certifying the processing to the court, and restricting attempts to reconnect records to individuals. As you will see in court rulings about this, the big challenge is figuring out what can be transferred and used safely.
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If you have a company that went out of business, learn about monetizing the data here: datahasvalue.ai/p/data-licen…
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Next thing I'll be talking about is how to get an idea of what is the most valuable data to license and for what purposes.
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Data Use Fight: Meta is saying that if you use their services (like promoting your website on a Facebook Business Page) then Meta can use content on your independently owned website to develop AI business tools. Website owners are essentially saying there should be a paid license for such uses of their website content or permissions defining what purposes are allowed. The word "training" was removed recently from the terms but it still may be the case that the wording still permits AI training. Right now everything is paused until this is fleshed out.
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Some more on this: On November 3, a São Paulo court temporarily barred Meta from using participating Brazilian publishers’ content without authorization, including for AI training. It also prohibited retaliation against their accounts. The ruling covers publishers represented by three associations; it is a provisional, limited ruling. ANJ Separately, the UK competition regulator opened an investigation on October 30 into whether Meta’s commercial terms unfairly exploit businesses. Meta has paused the proposed changes pending consultation. The regulator has not determined that Meta broke the law.
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So basically publishers can reject content-use permissions but still use Meta platform. This is good because it means they don't get value from your website data for free.
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Learn more about the negotiating points around data licensing: datahasvalue.ai/2026/10/ai-d…
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If you need more evidence of the licensing value data has (especially specialized datasets), here are some points from TempusAI ($TEM) earnings yesterday: - They license de-identified datasets (I'll be talking about de-identification today in the whiteboard video) - Over $550M for Q3 in licensing bookings for 2026. That includes over $137M over 5 years with Brystol Myers Squibb for oncology data and models. - Their data and applications business did over $100M revenue in Q3. This is ALL AROUND THEIR DATA.
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See if the data you have for your company is valuable here: datahasvalue.ai/p/data-licen…
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20 companies making money from data and content their everyday business generates or collects: Walmart: Turns sales, inventory and shopper data into paid supplier insights through Scintilla. corporate.walmart.com Kroger: Uses grocery purchases and loyalty-card activity to sell shopper analytics through its 84.51° business. sec.gov Mastercard: Turns aggregated, anonymized payment activity into paid retail-spending insights through SpendingPulse. Mastercard Global CME Group: Operates futures markets, then licenses the prices and trading data those markets generate. Nasdaq: Sells access to stock quotes and trade data generated on its exchanges. nasdaq.com Intercontinental Exchange: Licenses financial and commodity trading data to investors, brokers and data distributors. ice.com Tempus AI: Licenses de-identified clinical and molecular datasets from its healthcare work to pharmaceutical and AI companies. sec.gov S&P Global: Produces credit ratings, then sells subscriptions to those ratings, related research and datasets. sec.gov Reddit: Licenses the posts and conversations generated by its communities to AI companies. sec.gov Stack Overflow: Turns its community’s programming questions and answers into recurring data-licensing revenue from AI partnerships. Yelp: Monetizes business listings, reviews and historical information through paid data-access agreements and APIs. sec.gov Foursquare: Uses check-ins and place information collected through its apps to build commercial location datasets and paid APIs. GoPro: Licenses opted-in customers’ videos for AI development and shares licensing revenue with participating creators. Shutterstock: Licenses images, videos, audio and associated metadata from its marketplace as AI training datasets. Getty Images: Licenses creative images, videos and metadata from its library for AI model training. CuriosityStream: Licenses video content to AI developers, including footage used to train models on video-editing workflows. sec.gov Wiley: Earns AI licensing revenue from scholarly and professional publishing content. sec.gov Informa / Taylor & Francis: Monetizes academic books and research archives through paid data-access agreements with AI companies. informa.com News Corp: Generates content-licensing revenue from its journalism and publication archives through AI partnerships. Financial Times: Licenses its journalism to OpenAI for use in ChatGPT. Your business may already generate information someone else finds valuable: transactions, technical knowledge, images, research or operational records. Learn more about turning existing business data into revenue at DataHasValue.ai.
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The USTA signed a 3-year deal licensing tennis coaching materials to train an AI app. Compensation includes revenue sharing. Documented expertise can become a licensing asset. Learn: datahasvalue.ai Source: SEC filing sec.gov/Archives/edgar/data/…
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Scroll X for a bit, you might not want to go outside. Go outside for a little bit, and you realize things will be ok.
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When you license your data for AI training, the useful workflows are all that matters, the PII is completely irrelevant and sanitized. The AI companies don't need to send your customers a birthday card :)
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The next topic I cover will be privacy in data licensing. Mainly how data used for training has PII removed as well as other sensitive data.
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If you want to sign up directly for licensing your data and see what it's worth, here is the link: company.micro1.ai/register/?… That is my referral link and I get compensated if you successfully enter into a data licensing agreement.
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This is for companies with 30+ employees and a minimum of two years in operation.
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