Episode Transcript
Real AI Use Cases – Episode 10
Passage to Profit Radio Show
Recorded at iHeart Studios, Manhattan
ELIZABETH GEARHART: Welcome to Real AI Use Cases Business Owners Roundtable. I am Elizabeth Gearhart, podcast consultant, marketing expert, and PhD researcher using AI every day. With me is my co-host Richard Gearhart, entrepreneur, seasoned business owner, and intellectual property attorney specializing in innovation. We want to show business owners that there are real people using AI right now, and you can use it as a small business yourself. The barriers are very low.
I am going to ask each of you for one way that you are using AI in your business.
DR. DANIELLE DICK – ThriveGenetics.ai | Addiction Researcher
ELIZABETH GEARHART: Dr. Danielle Dick with ThriveGenetics.ai, what is one way that you use AI to help your business run better?
DR. DANIELLE DICK: Our business is grounded in research, and we have been using AI and machine learning to integrate the wealth of data we can now collect on individuals — genomics, transcriptomics, proteomics, metabolomics, digital health monitoring data, brain scans, electronic health records, and personal surveys. What AI allows us to do is integrate all of this information to look at what best predicts treatment outcomes or who is at most risk of developing addiction. We use that to iterate and improve our risk prediction profiles, which we bring to people through Thrive Genetics.
ELIZABETH GEARHART: Do you think you could do that without AI? Would it take years?
DR. DANIELLE DICK: AI provides a way to integrate this data that simply was not possible in years past. It is a new way of handling big data that goes beyond the more limited, narrow, hypothesis-driven research of the past. Addiction and mental health are so complex that we really need comprehensive risk profiles that bring in enormous amounts of data and information.
NEIL SENTURIA – AskTuring.ai | Enterprise AI & Privacy
ELIZABETH GEARHART: Now we are going to ask Neil Senturia with AskTuring.ai. Neil, your whole company is AI, but what is one way you are using AI to speed up processes?
NEIL SENTURIA: My company, Ask Turing, is built specifically to do confidential, privacy-focused RAG — retrieval augmented generation — with large data and machine learning. We named the company after Alan Turing, the code breaker who built the Bombe machine that solved German communications encryption in World War II. Machine learning has been around a long time.
There are currently seven, eight, or nine large language models — LLMs. They all train on your data. If you show them your genetics or your electronic medical records, that data is not private. What we have built is a middleware layer — a membrane — that lets you use your own private data and access any one of a dozen different LLMs. Claude does better at certain tasks. Gemini does better at others. By being multi-model, we provide additional value. But the real differentiator is providing context and memory that current offerings do not.
Our customers include wealth managers, lawyers, and manufacturing firms.
ELIZABETH GEARHART: How are you using AI yourself, specifically at Ask Turing?
NEIL SENTURIA: We use AskTuring.ai the same way anyone would use ChatGPT. The difference is we believe ours is better and provides the privacy that everyone wants. When I talk to people, they say they use ChatGPT or Claude but they know it is not private, so they do not load their sensitive documents. That is the problem we solve.
ALAN PORTER – StrategicWealthStrategies.com | Financial Advisor
ELIZABETH GEARHART: Alan Porter with Strategic Wealth Strategies, what is one way you are using AI in your business?
ALAN PORTER: When I ask ChatGPT to do something, I ask it to do deep research. That is different from just asking it to write a script. Deep research takes a little longer, but it produces much richer results. I also use AI with agents to create video content. I have over 500 videos that I produced myself, and now I have about 20 videos made with HeyGen. The AI-produced videos look more professional and polished — no filler words, no pauses. It has made a significant difference in my business because of the influx of new clients I am attracting.
NEIL SENTURIA: What Alan is doing is exactly a proper and effective use of AI. We work with four large CPA firms that deal with exactly this challenge — large amounts of data that require privacy and precision.
RICHARD GEARHART – Gearhart Law | Intellectual Property Attorney
ELIZABETH GEARHART: How are you using AI, Richard Gearhart at Gearhart Law?
RICHARD GEARHART: We are attending a conference next week. I wanted to get organized and find out who would be attending and identify people I should connect with — either as potential podcast guests or for business reasons. I put the full speaker list into ChatGPT and asked it to review all the speakers and identify people who would be good connections for me. It came up with about 20 people it thought would be strong matches. I defined what makes a good podcast guest, and it was able to find people who fit that description.
NEIL SENTURIA: What Richard did is a perfect example of using public data. ChatGPT can do that easily. But the real power is in private data. You could take 100 of your podcast episodes, put them into Ask Turing, and using RAG — retrieval augmented generation — you could chat with all of your own podcasts. The magic is your private data, not accessing public information.
RICHARD GEARHART: I think it is both. What I did was a powerful application and it worked. I also appreciate the value of private data analysis, especially for a law firm. We have to be very careful not to compromise client confidentiality. Our current strategy is to use outward-facing LLMs like ChatGPT for projects that do not involve confidential information. For internal reviews, we use Microsoft Copilot through our enterprise Microsoft 365 account, which promises not to share that data.
ELIZABETH GEARHART – Gear Media Studios | Podcast Consultant & Marketing Expert
ELIZABETH GEARHART: I use AI for marketing, and none of what I do is confidential. I run marketing reports and anonymize the data before putting it in — no names. It saves me an enormous amount of time. Right now I am using Google Gemini primarily because their most recent upgrade significantly improved accuracy and factual reliability. I am also using it as a consultant to help me build a website. If I get stuck, I can ask ChatGPT, Google Gemini, or Perplexity. I find it genuinely useful as a problem-solving tool.
ROUNDTABLE DISCUSSION
NEIL SENTURIA: Looking forward, what is going to change in the AI universe is pricing. AI companies are going to be forced to charge on usage, not per seat. If you have a thousand people in a company, you are not going to give everyone a thirty-dollar seat. You give the whole company a platform license and charge based on consumption. Some people will use a lot, some will use less, and you only pay for what you use. That is where pricing is going.
ELIZABETH GEARHART: That works for businesses, but it will be harder to convince consumers who have been using Google Search for free to pay for search. The latest data suggests that by 2028, more people will be using ChatGPT and other LLMs before they go to Google. That is when analysts think the lines will cross. But will people pay for something they have been getting for free? Google may start charging too. We have had a long push to keep the internet free, but it may not stay that way.
DR. DANIELLE DICK: I want to share one other AI experience. I recently had the opportunity to talk to an AI version of myself. I am on the advisory board of a startup in the parenting space. They have created a panel of founding experts and trained an AI version of me on approximately two percent of my publicly available podcasts. They showed me a demo where I posed a question and received an answer in my own voice, with my own intonations, based on things I have written and said. It was a genuinely wild experience. It also made me think about the potential of AI to give people access to an expert trained not on all the data on the internet, but specifically on that person's research, podcasts, and books.
RICHARD GEARHART: Did the AI version of you give the answer you would have given?
DR. DANIELLE DICK: It did, of course, because it was trained on me. I imagine it must be something like what having an identical twin feels like.
ELIZABETH GEARHART: We have had guests on this show who have actually cloned themselves. They run companies and have built AI clones loaded with as much of their own knowledge as possible. Their employees are required to ask the clone first. Only if the clone cannot answer are they allowed to come to the CEO directly.
DR. DANIELLE DICK: I love that idea.
ELIZABETH GEARHART: Thank you for listening to Real AI Use Cases Business Owners Roundtable. We hope you found this valuable. Join us again for more stories, because the future of business is driven by AI. This podcast was recorded at iHeart Studios in Manhattan as part of the Passage to Profit Radio Show.
