In this conversation, Brooke Hartley Moy discusses her journey in the tech industry and the founding of Infactory, a company focused on leveraging AI to combat misinformation and enhance trust in online information. Brooke Hartley Moy is the CEO of Infactory, a fact-checking AI search engine startup. Infactory’s AI developer platform fact engine is revolutionizing the relationship between data and Gen AI, allowing every enterprise to fearlessly innovate with AI and transform the world’s hidden data into reliable answers. Think of Infactory like a brilliant analyst who connects the dots across complex datasets: Imagine a healthcare company unlocking life-saving insights from patient data - identifying trends in medication effectiveness and optimizing treatment plans. Or picture a financial firm uncovering hidden patterns across thousands of reports and predicting markets with unprecedented accuracy. For business-critical situations like these, Infactory makes AI applications more impactful and trustworthy. Support This Podcast Amazon - buy things that Vit Lyoshin recommends * https://www.amazon.com/shop/anhourofinnovationwithvitlyoshin Webflow - Create custom, responsive websites without coding * https://try.webflow.com/0lse98neclhe MeetGeek - Record, transcribe, summarize, and share insights from every meeting * https://get.meetgeek.ai/yjteozr4m6ln Monkey Digital - Unbeatable SEO. Outrank your competitors * https://www.monkeydigital.org?ref=102449 Takeaways * AI's potential is vast, but accuracy is critical. * Transparency in AI processes builds user trust. * Bias in AI is an ongoing challenge. * Misinformation is a symptom of information overload. * Quality content should be incentivized in AI. * AI can enhance the accuracy of information. * Enterprise sectors require high accuracy in AI. * Understanding the nuances of industries is vital for AI. * Protecting against misinformation is essential for users. * Continue to interact with information based on source quality. * Expect to pay for services as a trade-off for trust. * The field of AI is wide open for new monetization models. * Success in AI is about trust and accuracy. * Trust is critical in AI systems and not just a nice to have. * Collaboration is key in the crowded AI space. * User feedback is essential for product development. * AI will enable significant breakthroughs in various fields. * Experimentation and open-mindedness are crucial in AI. * Maintaining a human element when evaluating information is necessary. Timestamps 00:00 Intro 04:20 Why Focusing on Fact-Checking with AI? 07:05 Understanding AI's Role in Fact-Checking 09:53 Building Trust in AI Fact-Checking 13:14 Addressing Bias in AI Models 15:30 Challenges in AI Fact-Checking 18:02 Targeting Enterprise Customers 21:54 Misinformation in the Digital Age 25:22 Navigating Information Quality in the AI Era 28:55 Next Steps for Infactory 30:12 How Does Success Look Like for Infactory 33:49 Experience as a CEO of AI Company 37:11 Future of AI and Fact-Checking 45:48 Advice from Brooke Connect with Brooke * Website: https://infactory.ai/ * LinkedIn: https://www.linkedin.com/in/abhartley/ * X: https://x.com/infactory_ai Podcast Links * https://linktr.ee/anhourofinnovation Connect with Vit * Website: https://vitlyoshin.com/contact/ * LinkedIn: https://www.linkedin.com/in/vit-lyoshin/

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