Earley AI Podcast

Today’s guest is Sanjay Mehta, Head of Industry Commerce for LucidWorks. Sanjay joins Seth Earley and Chris Featherstone to the discuss the rapidly evolving hype of generative AI and how it can be applied to your industry.Takeaways:Sanjay points out that emerging AI is "not turn key". Maybe from a consumer side but when it comes to B2B there are many hoops to jump through before it's easy and effective.Data is the lifeblood of modern businesses, and its true potential shines when we connect the dots between customer behaviors, product attributes, and user experiences. At the heart of this transformation is the concept of ingesting good product data into the vector space.There are many preceded knowledge graphs for certain industries. When you build your index of data it is important to know your users context and application. Using a knowledge base to build your own vector space can be helpful. Quote of the Show:“AI is Not Turn Key" - Sanjay MehtaLinks:LinkedIn:https://www.linkedin.com/in/sanjaymehta/Website: https://lucidworks.comWays to Tune In:Earley AI Podcast: https://www.earley.com/earley-ai-podcast-home Apple Podcast: https://podcasts.apple.com/podcast/id1586654770 Spotify: https://open.spotify.com/show/5nkcZvVYjHHj6wtBABqLbE?si=73cd5d5fc89f4781 iHeart Radio: https://www.iheart.com/podcast/269-earley-ai-podcast-87108370/ Stitcher: https://www.stitcher.com/show/earley-ai-podcast Amazon Music: https://music.amazon.com/podcasts/18524b67-09cf-433f-82db-07b6213ad3ba/earley-ai-podcast Buzzsprout: https://earleyai.buzzsprout.com/ Thanks to our sponsors:VKTREarley Information ScienceAI Powered Enterprise Book

Today’s guest is Doug Kimball, Chief Marketing Officer for Ontotext .  Doug joins Seth Earley and Chris Featherstone to the discuss the rapidly evolving world of knowledge graphs and AI.Takeaways:Doug Kimball's statement about knowledge graphs being an "add to" and an "enhancement of" data is spot on. In the world of modern data management and analytics, knowledge graphs are a game-changer.There is a proper way to ask the right questions when communicating with Generative AI models. It is important to include the correct context and parameters.Knowledge graphs have many applications to a variety of different business models and use cases. Doug mentions an example where a mass migration of population from one place to another could be an opportunity for businesses to track and profit based off of user demographics utilizing knowledge graph practices.Quote of the Show:“Knowledge graphs are not a rip and replace, they are an add to/enhancement of" - Doug KimballLinks:LinkedIn:https://www.linkedin.com/in/dougkimball/Website: https://www.ontotext.com/Twitter: https://twitter.com/TheDKimballWays to Tune In:Earley AI Podcast: https://www.earley.com/earley-ai-podcast-home Apple Podcast: https://podcasts.apple.com/podcast/id1586654770 Spotify: https://open.spotify.com/show/5nkcZvVYjHHj6wtBABqLbE?si=73cd5d5fc89f4781 iHeart Radio: https://www.iheart.com/podcast/269-earley-ai-podcast-87108370/ Stitcher: https://www.stitcher.com/show/earley-ai-podcast Amazon Music: https://music.amazon.com/podcasts/18524b67-09cf-433f-82db-07b6213ad3ba/earley-ai-podcast Buzzsprout: https://earleyai.buzzsprout.com/ Thanks to our sponsors:Marketing AI InstituteCMSWireEarley Information ScienceAI Powered Enterprise BookThanks to our sponsors:VKTREarley Information ScienceAI Powered Enterprise Book

Today’s guest is Ben Clinch, Head of Information Architecture for BT Group .  Ben joins Seth Earley and Chris Featherstone to the discuss the rapidly evolving world of data science in organization. Takeaways:An intriguing aspect is the common practice of Large Language Models (LLMs) utilizing generic data models Ben and Seth discuss more effective ways to harness the power of LLMs through specialized data models and organization.Companies will realize quickly that they cant do any sensible Generative AI without a core of useful referential data to utilize, train and not hallucinate.If people lean on Generative AI, that accelerates things rapidly, but all it does is deferring knowledge to somebody else's data model.Some people ask if we really need a data model.  Can't we just get an industry standard view and follow that?  Do you want to buy an org chart?  Do you want to defer how you structure your teams to somebody else's view of how you should?  This may be a good starting point, but a terrible ending point.What is the ROI on data modeling?  Think of data as an asset for your organization, and think of people as an asset for your organization.  Everybody from the chairman to the guy sweeping the floor understand an org chart. They understand you have to organize your people.  Otherwise, there will be involuntary anarchy.Quote of the Show:“Taxonomy is a chart of accounts for knowledge" - Seth EarleyLinks:LinkedIn:https://www.linkedin.com/in/benclinch/Website: https://www.bt.com/Twitter: https://twitter.com/BritishTelecom Ways to Tune In:Earley AI Podcast: https://www.earley.com/earley-ai-podcast-home Apple Podcast: https://podcasts.apple.com/podcast/id1586654770 Spotify: https://open.spotify.com/show/5nkcZvVYjHHj6wtBABqLbE?si=73cd5d5fc89f4781 iHeart Radio: https://www.iheart.com/podcast/269-earley-ai-podcast-87108370/ Stitcher: https://www.stitcher.com/show/earley-ai-podcast Amazon Music: https://music.amazon.com/podcasts/18524b67-09cf-433f-82db-07b6213ad3ba/earley-ai-podcast Buzzsprout: https://earleyai.buzzsprout.com/ Thanks to our sponsors:VKTREarley Information ScienceAI Powered Enterprise Book

Today’s guest is Glenn Gow, CEO of Coaching at The Peak Performance CEO Coach. Glenn joins Seth Earley and shares how people should start leaning into what technology is advancing today. Glenn expresses the importance of learning these new materials to create opportunities for you and your company. Be sure to listen in on Glenn giving his advice on how larger companies should incorporate AI into their business!Takeaways:Glenn believes that the enhanced value that Predictive AI and Analytical AI can bring to CEOs can create a crucial aspect of the evolution. By harnessing AI approaches, CEOs can gain insights that can drive decision-making and strategic planning. Glenn advocates for adopting AI methodologies to empower CEOs in navigating the rapidly evolving business landscape.Glenn created a concept known as "Winner Takes All." This concept is if you excel in AI, both you and your direct competitor will consistently accumulate data about your customers. This resource empowers you to gain insights into your customer base, enabling you to enhance your understanding and knowledge. The stakes are high, as falling behind your competitor could lead to setbacks and missed opportunities.An example of the vast impact Chat GPT and AI have on our world is Chegg—software designed to provide students with vital information to excel in school. However, when Chat GPT came to light, the AI world dramatically shifted. In a single day, the creation of Chat GPT caused Chegg's stock to plummet by 45%. Today, AI is globally, revolutionizing to assist with education, essay writing, tests, and countless other domains. Its pervasive influence continues to reshape the way we approach and engage with knowledge.Glenn believes enterprises will find it effortless to gather information about open-source technologies their competitors developed. By integrating the resources into their frameworks and incorporating their data, businesses will gain access to carry out operations within their competitors' organizations that were once beyond their reach. Glenn thinks people should take advantage of these opportunities to safeguard their data.Glenn describes prompting by taking a large language model and condensing it to a specific area of focus. This act of shrinking allows the model to channel toward a defined domain or subject matter. By honing the model's attention on a particular area, it targets outputs that align with the desired scope. This makes it simple for users to leverage the language model while meeting specific objectives.Quote of the Show:“Become good at all the tools that are being made available to us, because that's going to create opportunity for you.” - Glenn GowLinks:LinkedIn: https://www.linkedin.com/in/glenngow/ Website: https://www.glenngow.com/ Twitter: https://twitter.com/glenngow1 Ways to Tune In:Earley AI Podcast: https://www.earley.com/earley-ai-podcast-home Apple Podcast: https://podcasts.apple.com/podcast/id1586654770 Spotify: Thanks to our sponsors:VKTREarley Information ScienceAI Powered Enterprise Book

Today’s guest is Kirk Marple, Technical Founder and CEO at Unstruk Data. Kirk joins Seth Earley and Chris Featherstone to  discuss organizing historical data and long-term memory. Kirk emphasizes the importance of organizing data in a manner that allows for seamless integration with novel models and shares valuable advice on understanding data. Takeaways:The semantic web serves as a powerful tool for optimizing business applications and data organization.  A prevalent misconception surrounding AI is that individuals need to construct their own models and be data science experts. Advancements unfold at a rapid pace. People need to harness the power of AI and employ it strategically within their business operations.Data lies at the core of everything. To optimize the utilization of emerging models effectively it is important to organize data in a way that seamlessly integrates with novel models. AI implementation needs to be approached with a practical mindset.  In the last 6-9 months large language models have developed the ability to engage in meaningful conversations with their underlying data. This aspect of interactive communication tends to be overlooked. The focus often leans towards retrieval and entity extraction.Over the years, people have addressed the issue of non-equalization of data intent through the provision of taxonomies. In the future Kirk anticipates that AI will play a pivotal role in enhancing this process. Quote of the Show:“It’s a data set. Not just a hard drive.” (03:50)Links:LinkedIn: https://www.linkedin.com/in/kirkmarple/ Website: https://www.unstruk.com/ Twitter: https://twitter.com/unstruk Ways to Tune In:Earley AI Podcast: https://www.earley.com/earley-ai-podcast-home Apple Podcast: https://podcasts.apple.com/podcast/id1586654770 Spotify: https://open.spotify.com/show/5nkcZvVYjHHj6wtBABqLbE?si=73cd5d5fc89f4781 iHeart Radio: https://www.iheart.com/podcast/269-earley-ai-podcast-87108370/ Stitcher: https://www.stitcher.com/show/earley-ai-podcast Amazon Music: https://music.amazon.com/podcasts/18524b67-09cf-433f-82db-07b6213ad3ba/earley-ai-podcast Buzzsprout: https://earleyai.buzzsprout.com/ Thanks to our sponsors:VKTREarley Information ScienceAI Powered Enterprise Book

Today’s guest is Alex Babin, Co-Founder and CEO at ZERO Systems. Alex joins Seth Earley and Chris Featherstone to share two of the biggest misconceptions of AI and a  new AI metric data tool. Using AI to track data improves performance. Takeaways:The biggest misconceptions about AI are:AI can work out of the box. ChatGPT shows people what it can do but that doesn't mean that AI can do everything.You can throw data at AI and it will execute your needs perfectly.  AI technology is changing, but it hasn’t met this level of expertise yet.A best practice to avoid these misconceptions of AI is to start from the beginning. Figure out your company's ROI and reconstruct all the steps required.There's a new layer of metric data that has never existed before,  user-generated data or a feedback loop. As you interact with a tool a new type of metadata is born. As you feed more data and information to the tool it creates a data flywheel.Ontologies don't always overlap to give a full understanding. AI can be a stitching mechanism to join two ontologies that should be communicating. You can use AI to Alex explains how the two ontologies aren’t connected. Fortune1000 companies can use AI to use data more effectively. Organizations need end-to-end solutions. An enterprise-scale solution doesn't exist right now. They're using fragmented solutions and piecing it together.Interconnecting data and compartmentalizing it can lead to end-to-end solutions, skilled AI models (SAMs).  AI is an arms race right now. The focus is on making things bigger, faster, and more powerful. Without governance it can be dangerous. We need to collectively figure it out. Quote of the Show:“Throwing ChatGPT on top of your problems will not solve it.” (04:51)Links:LinkedIn: https://www.linkedin.com/in/alexbabin/ Website: https://zerosystems.com/ Twitter: https://twitter.com/zeromailapp?lang=en Ways to Tune In:Earley AI Podcast: https://www.earley.com/earley-ai-podcast-home Apple Podcast: https://podcasts.apple.com/podcast/id1586654770 Spotify: https://open.spotify.com/show/5nkcZvVYjHHj6wtBABqLbE?si=73cd5d5fc89f4781 iHeart Radio: https://www.iheart.com/podcast/269-earley-ai-podcast-87108370/ Stitcher: https://www.stitcher.com/show/earley-ai-podcast Amazon Music: https://music.amazon.com/podcasts/18524b67-09cf-433f-82db-07b6213ad3ba/earley-ai-podcast Buzzsprout: https://earleyai.buzzsprout.com/ Thanks to our sponsors:VKTREarley Information ScienceAI Powered Enterprise Book

Today’s guest is Maxim Serebryakov, Co-Founder and CEO at Sanas. Max joins Seth Earley and Chris Featherstone and shares what influenced him to start his company. Max discusses what it was like to study artificial intelligence at Stanford and how it created a broad perspective on how things work. Max believes if you go above and beyond you can help anyone. Takeaways:Max was born in New York, moving back to Russia where his family is from as a child. When he returned to the United States, hearing the accents around him led to the creation of his company, Sanas.Artificial intelligence shows the limitations of modern-day voice conversion research. You're not just modulating the pitch and tone, you're changing the underlying phonetics that are present within it.Initially, they chose to deploy Sanas in contact centers and enterprises because speech is very structured. Sanas helps large companies improve customer service interactions which is crucial to their service.Quote of the Show:“We ended up building an algorithm that really doesn't exist in the research world. It's very innovative. It works on the edge, works with clients, and it's very efficient.” (11:02)Links:LinkedIn: https://www.linkedin.com/in/maximser/ Website: https://www.sanas.ai/ Ways to Tune In:Earley AI Podcast: https://www.earley.com/earley-ai-podcast-home Apple Podcast: https://podcasts.apple.com/podcast/id1586654770 Spotify: https://open.spotify.com/show/5nkcZvVYjHHj6wtBABqLbE?si=73cd5d5fc89f4781 iHeart Radio: https://www.iheart.com/podcast/269-earley-ai-podcast-87108370/ Stitcher: https://www.stitcher.com/show/earley-ai-podcast Amazon Music: https://music.amazon.com/podcasts/18524b67-09cf-433f-82db-07b6213ad3ba/earley-ai-podcast Buzzsprout: https://earleyai.buzzsprout.com/ Thanks to our sponsors:VKTREarley Information ScienceAI Powered Enterprise Book

Today’s guest is Michael Todasco write extensively about Generative AI. Mike joins Seth Earley and Chris Featherstone to discuss all things generative AI and why people should embrace AI.  He also shares valuable advice on how to build a better connection with your customers.Takeaways:While he was at PayPal, Mike was responsible for innovation and improving employee performance. Embrace AI. Working with AI will result in better solutions.It is important for everyone to know what their competitive advantage is and what their end goal is.One great way to get proprietary information about your customers is to stage a gated experimentation process.One of Michael's experiments was writing a book using an Excel spreadsheet. He took what was written in Excel and pasted it into ChatGPT to craft 56 different writing genres. Quote of the Show:“Your job is not going to be replaced by AI. It's going to be replaced by a human who's using AI.” (08:17)Links:Twitter: https://twitter.com/todasco LinkedIn: https://www.linkedin.com/in/todasco/ Website: https://medium.com/@todasco Ways to Tune In:Earley AI Podcast: https://www.earley.com/earley-ai-podcast-home Apple Podcast: https://podcasts.apple.com/podcast/id1586654770 Spotify: https://open.spotify.com/show/5nkcZvVYjHHj6wtBABqLbE?si=73cd5d5fc89f4781 iHeart Radio: https://www.iheart.com/podcast/269-earley-ai-podcast-87108370/ Stitcher: https://www.stitcher.com/show/earley-ai-podcast Amazon Music: https://music.amazon.com/podcasts/18524b67-09cf-433f-82db-07b6213ad3ba/earley-ai-podcast Buzzsprout: https://earleyai.buzzsprout.com/ Thanks to our sponsors:VKTREarley Information ScienceAI Powered Enterprise Book

Today’s guest is Gordon Hart, Co-Founder and Head of Product at Kolena. Gordon joins Seth Earley and Chris Featherstone and shares how ​​machine learning algorithms are a challenge from different perspectives. Gordon also discusses the core problem in his company before they turned it around. Be sure to listen to Gordon's advice on how to validate models in order to have a successful product!Takeaways:Gordon noticed that developing algorithms internally or buying from other model vendors has really had a constant unexpected model behavior. It made him feel he couldn’t trust the models to behave sensibly. Gordon started his company because he noticed that time after time, he was getting blindsided. He knew there was a better way to develop models and validate what they were doing. The key challenge that Gordon and his team ran into was that when you have all the data when they were looking at that one number, they were looking at that aggregate metric computed across their entire benchmark.Gordon expresses the importance of going through scenarios with your products. He found that when you break down your evaluation into these different scenarios, the test gives you an understanding of how this model improves in the aggregate over previous models and how are the failures distributed.Testing data is more critical than training data because your testing data is used to determine if your new model has the correct behaviors.Testing the full pipeline from pre-processing through post-processing rather than testing the model component will oftentimes improve the visibility into how your product is actually going to work when you put it out there.Quote of the Show:“Having your evaluation metrics align with the way that your system is going to be evaluated in the field is a key thing that you can do to get a better understanding of ‘is this model better for what I set out to do?’” (22:36)Links:Twitter: https://twitter.com/kolenaIO LinkedIn: https://www.linkedin.com/in/gordon-hart/ Website: https://www.kolena.io/ Ways to Tune In:Website: https://www.earley.com/earley-ai-podcast-home Apple Podcast: https://podcasts.apple.com/podcast/id1586654770 Spotify: https://open.spotify.com/show/5nkcZvVYjHHj6wtBABqLbE?si=73cd5d5fc89f4781 iHeart Radio: https://www.iheart.com/podcast/269-earley-ai-podcast-87108370/ Stitcher: https://www.stitcher.com/show/earley-ai-podcast Amazon Music: https://music.amazon.com/podcasts/18524b67-09cf-433f-82db-07b6213ad3ba/earley-ai-podcast Buzzsprout: https://earleyai.buzzsprout.com/ Thanks to our sponsors:VKTREarley Information ScienceAI Powered Enterprise Book

Today’s guest is Daniel Faggella, Head of Research and CEO at Emerj Technology Research. Dan joins Seth Earley and Chris Featherstone and shares how martial arts influenced him to get into artificial intelligence. Dan also discusses what his experience was like with surveillance technology creation technology. Dan had a machine that could generate the next 10 slides of your desired moving picture. Be sure to listen in on Dan giving his advice on how you should properly use open AI!Takeaways:Dan got into artificial intelligence by practicing the martial art, Jujitsu. He started a Jujitsu gym which helped support him when he was in school. Jujitsu helped motivate him and keep his mind balanced.Dan mentions how generative AI has been starting to bubble up since the spark of ChatGPT. He sees people starting to experiment with social and proposals. With AI in general, people are looking at junctures within the workflow. Identifying junctures where can push a button will lead to streamlined deliverables.Generative AI finds the juncture pockets and knows exactly where those settle in.Dan speculates that people will evolve their use of ChatGPT and structure different FAQs.Dan believes that one day we'll use Generative AI to create a feedback loop allowing humans to say what's wrong and what's right to train AI systems.Quote of the Show:“The dust has yet to settle on the early cluster of those use cases in Generative AI.” (19:06)Links:Twitter: https://twitter.com/danfaggella LinkedIn: https://www.linkedin.com/in/danfaggella/ Website: https://emerj.com/ Podcast: The AI and Business PodcastArticle: Lotus Eaters and World EatersWays to Tune In:Website: https://www.earley.com/earley-ai-podcast-home Apple Podcast: https://podcasts.apple.com/podcast/id1586654770 Spotify: https://open.spotify.com/show/5nkcZvVYjHHj6wtBABqLbE?si=73cd5d5fc89f4781 iHeart Radio: https://www.iheart.com/podcast/269-earley-ai-podcast-87108370/ Stitcher: https://www.stitcher.com/show/earley-ai-podcast Amazon Music: https://music.amazon.com/podcasts/18524b67-09cf-433f-82db-07b6213ad3ba/earley-ai-podcast Buzzsprout: https://earleyai.buzzsprout.com/ Thanks to our sponsors:VKTREarley Information ScienceAI Powered Enterprise Book