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    Earley AI Podcast

    In this podcast hosts Seth Earley & Chris Featherstone invite a broad array of thought leaders and practitioners to talk about what's possible in artificial intelligence as well as what is practical in the space as we move toward a world where AI is embedded in all aspects of our personal and professional lives. They explore what's emerging in technology, data science, and enterprise applications for artificial intelligence and machine learning and how to get from early stage AI projects to fully mature applications.Seth is founder & CEO of Earley Information Science and the award winning author of "The AI Powered Enterprise." Chris is a technology executive and strategist interested in how AI and Machine Learning will enable next generation customer and workforce engagement..
    en-us41 Episodes

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    Episodes (41)

    Ian Hook on Advancing Operational Excellence with AI and Knowledge Management - The Earley AI Podcast with Seth Earley - Episode #041

    Ian Hook on Advancing Operational Excellence with AI and Knowledge Management - The Earley AI Podcast with Seth Earley - Episode #041

    Ian Hook is an exemplary professional whose journey spanned from an early career as a blacksmith and preschool teacher to becoming a seasoned expert in knowledge management and artificial intelligence (AI) at Nevartis. His unorthodox path and hands-on experience have endowed him with a deep understanding of the intricacies of knowledge management and its pivotal role in leveraging generative AI tools efficiently and effectively within operational teams. Ian's significant contributions have led to remarkable operational efficiencies, including an $18 million savings for his company by centralizing market research resources.

    Key Takeaways:

    - Knowledge management and generative AI are integral to improving the speed and accuracy of issue detection and remediation in operational teams.

    - Understanding the lineage and flow of data is vital for data scientists to fulfill their responsibility effectively.

    - Ian Hook illustrates the considerable impact of having a centralized knowledge management platform on efficiency and cost savings within a corporate setting.

    - The importance of governance in the context of utilizing generative AI is highlighted to mitigate unreliable outcomes due to ungoverned data.

    - Knowledge graphs are presented as sophisticated tools that visualize expertise and the relationships between different domains of knowledge.

    - The episode explores the limitations of large language models and emphasizes the importance of human oversight to prevent inaccuracies.

    Quote of the Show:

    "In our quest to harness AI, we must remember that the texture of human knowledge and expertise is the bedrock upon which these systems must be built." - Ian Hook

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    Earley AI Podcast
    en-usFebruary 22, 2024
    generative ai
    d
    tagging
    data governance
    prompt engineering

    Search Optimization, Competitive Advantage, and Balancing Privacy in an AI-Powered Future - Marc Pickren - The Earley AI Podcast with Seth Earley - Episode #040

    Search Optimization, Competitive Advantage, and Balancing Privacy in an AI-Powered Future - Marc Pickren - The Earley AI Podcast with Seth Earley - Episode #040

    Mark Pickren currently serves as the President of Next Net Media. With over 25 years of experience as a seasoned entrepreneur and business leader, he possesses expertise in marketing-focused technology companies. Mark has demonstrated a consistent track record of building and managing successful ventures, with leadership experience spanning various industries, including Fintech, SaaS, and Digital Marketing. He has effectively overseen hundred-million-dollar P&Ls at large public corporations and Madison Avenue agencies. Remaining at the forefront of the dynamic digital landscape, Mark consistently delivers innovative solutions for consumers and businesses.

    Takeaways:

    • Organizations need to prepare for around a 25% decline in organic search traffic as search becomes more personalized. 
    • Marketers need to focus on multi-dimensional targeting and providing value to specific customer personas to optimize content for search.
    • As repetitive tasks are automated, career paths will focus more on managing autonomous agents and leveraging AI effectively. 
    •  Large language models pose risks if not properly overseen by humans, and differentiation requires responsible use of proprietary data and knowledge.
    • Emerging technologies like retrieval-augmented generation will have major impacts on enterprises by improving information access.


    Quote of the Show:

    • "Don't be a cynic. Lean into the better angels of technology, and be part of the solution." (Advice for graduates on how to approach emerging technologies.) 

    - Marc Pickren

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    Earley AI Podcast
    en-usJanuary 30, 2024
    ai
    llm
    technology
    organizations
    question

    AI Disruption and Job Replacement, Wealth Gap, and Economic Inequality - Kristina Francis - The Earley AI Podcast with Seth Earley and Chris Featherstone - Episode #039

    AI Disruption and Job Replacement, Wealth Gap, and Economic Inequality - Kristina Francis - The Earley AI Podcast with Seth Earley and Chris Featherstone - Episode #039

    Our guest this episode is Kristina Francis, a Executive Director at JFFLabs. Jobs for the Future (JFF) is a nationwide nonprofit dedicated to reshaping U.S. education and workforce systems for inclusive economic progress.

    Kristina is a experienced professional with a rich background spanning management consulting, software development, engineering, and cybersecurity. She began in database administration at the American Institutes for Research, evolving from an individual contributor to leading a 120-member development team for the Department of Defense. In 2016, a pivotal moment led to a dual career path, involving founding a consulting company, angel investing in women-owned tech ventures, and engaging in workforce opportunities. Currently serving as the Executive Director for JFFLabs at Jobs for the Future, Kristina  provides a distinctive perspective on the present and future of workforce and education, emphasizing innovation, disruption, and foresight into the implications of emerging technologies.

    Takeaways:

    • AI has the potential to both disrupt jobs and create new job opportunities, but ensuring access to skills training will be important for workforce development.
    • Personalized learning and career discovery tools that integrate assessments and map out skills pathways could help more people navigate changing job opportunities.
    • Addressing systemic barriers and biases will be important to ensure all populations can benefit from new economic opportunities.
    • Regions and employers can play a role in workforce development through public-private partnerships, on-the-job training programs, and investing in employees' skills.


    Quote of the Show:

    • " How do we get more innovators, school systems, programs, and employers to get on board and provide the support and systems needed so that everyone in our communities is able to discover and navigate through our system to achieve their highest potential? "

    - Kristina Francis

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    Earley AI Podcast
    en-usJanuary 18, 2024
    ai
    jobs
    technology
    skills
    companies

    Revolutionizing Data Pipelines, Unifying Metadata, Knowledge Graphs, and Generative AI - Alexander Schober - The Earley AI Podcast with Seth Earley and Chris Featherstone - Episode #038

    Revolutionizing Data Pipelines, Unifying Metadata, Knowledge Graphs, and Generative AI - Alexander Schober - The Earley AI Podcast with Seth Earley and Chris Featherstone - Episode #038

    Our guest this episode is Alexander Schober, a data & AI project owner at Motius. He manages a diverse team of tech experts, focusing on Machine Learning, Knowledge Graphs, and Data Analysis.

    Alexander previously worked at Siemens Technology which involved pioneering research in Federated Learning and Self-Supervised Methods for anomaly detection. He used algorithms like Federated Averaging and SimCLR to address data privacy and label sparsity. Alexander joins Seth Earley and Chris Featherstone to the discuss knowledge graphs, metadata modeling for data engineering, using large language models to build data pipelines and more.

    For more content related to LLM's and Knowledge Graphs: https://www.earley.com/case-studies

    Takeaways:

    • AI Enhancements with Knowledge Graphs: While not strictly required, knowledge graphs enhance the capabilities of AI, particularly large language models. The ability to provide context and resolve conflicts within the data contributes to more accurate and reliable AI outcomes.
    • Unified Metadata Model: There's a need for a unified metadata model across different tools and platforms in the data engineering and AI landscape. Disjointed metadata tools can lead to inefficiencies, and efforts should be made to integrate and unify metadata for better collaboration.
    • AI-Powered Data Pipeline Construction: Large language models can be used to generate data pipelines based on provided metadata. This approach can streamline the data engineering process, ensuring that quality checks, governance attributes, and privacy classifications are integrated into the pipeline.


    Quote of the Show:

    • " All of these things are interconnected. Knowledge graphs, ontologies and semantics. They are all very important."

                        - Alexander Schober

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    Earley AI Podcast
    en-usDecember 15, 2023

    Enterprise A.I. Strategy, Knowledge Management and more - Rachad Najjar - The Earley AI Podcast with Seth Earley - Episode #037

    Enterprise A.I. Strategy, Knowledge Management and more - Rachad Najjar - The Earley AI Podcast with Seth Earley - Episode #037

    Today’s guest is Rachad Najjar, working the forefront of innovation in the fields of organizational learning and knowledge management for nearly a decade. Prior to this, he served as a knowledge management advisor for the Dubai Land Department, where he played a pivotal role in achieving the EFQM Excellence Award. Notably, he's also a co-author of a recent book on knowledge management and research innovation, alongside numerous scientific publications in prestigious journals. In his ground breaking thesis, he introduced a framework to configure collaboration for virtual collectives, improving effectiveness across various professional contexts. Rachad joins Seth Earley and Chris Featherstone to the discuss his insights on AI, knowledge management, enterprise strategy implementation and more.


    Takeaways:

    • Seven guiding principles for a successful AI strategy, including a strong business case, process integration, quality training data, continuous supervision, powerful computing infrastructure, and AI and ML skills.
    • AI governance should involve diverse expertise, including legal, supply chain, project management, and knowledge management.
    • Focus on how generative AI is adding value in knowledge management and learning, particularly in areas such as customer support, search, learning, and marketing.

    Quote of the Show:

    • "AI models heavily depend on the quality of the training data, so quality in and quality out."

                  - Rachad Najjar



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    Earley AI Podcast
    en-usNovember 29, 2023

    Amar Goel on A.I. Tools, Ground Truth in LLMs, the Bito Journey and More - Amar Goel - The Earley AI Podcast with Seth Earley - Episode #036

    Amar Goel on A.I. Tools, Ground Truth in LLMs, the Bito Journey and More - Amar Goel - The Earley AI Podcast with Seth Earley - Episode #036

    Today’s guest is Amar Goel, founder of Bito. Amar joins Seth Earley and Chris Featherstone to the discuss the increase in new A.I. tools, LLMs and the journey behind forming Bito! The A.I. assisted software developing tool. 

    Takeaways:

    • Converting AI prototypes into reliable, production-ready products is a non-trivial task, often requiring significant effort and expertise.
    • AI has the potential to assist developers in various ways, from code refactoring to code migration, helping to address issues related to legacy code and modernization.
    • The cost of running AI models can be significant, and businesses need to consider the expenses involved in deploying AI tools in their products and services.
    • AI can play a pivotal role in streamlining developer processes, such as enhancing code quality, security, and test coverage, while allowing developers to maintain their creative freedom. However, it's essential to strike a balance between automation and creativity in the development process.

    Quote of the Show:

    • "We don't know what we don't know yet" about AI ethics and privacy, as everyone is learning on the job." - Amar Goel

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    Earley AI Podcast
    en-usOctober 30, 2023

    Optimizing Product Data and Harnessing Generative AI - Sanjay Mehta - The Earley AI Podcast with Seth Earley - Episode #035

    Optimizing Product Data and Harnessing Generative AI - Sanjay Mehta - The Earley AI Podcast with Seth Earley - Episode #035

    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 Mehta

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    Earley AI Podcast
    en-usOctober 16, 2023

    Taking Control of your Data: How Knowledge Graphs Help to Optimize your Business

    Taking Control of your Data: How Knowledge Graphs Help to Optimize your Business

    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 Kimball

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    Earley AI Podcast
    en-usSeptember 22, 2023
    data
    large language models
    data science
    artificial intelligence
    generative a.i.

    The Secret Power of Collaboration in Data Science - Ben Clinch - Earley AI Podcast with Seth Earley - Episode 33

    The Secret Power of Collaboration in Data Science - Ben Clinch - Earley AI Podcast with Seth Earley - Episode 33

    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 Earley

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    Earley AI Podcast
    en-usSeptember 08, 2023

    The Power of AI - Glenn Gow - Earley AI Podcast with Seth Earley - Episode # 032

    The Power of AI - Glenn Gow - Earley AI Podcast with Seth Earley - Episode # 032

    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 Gow



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    Earley AI Podcast
    en-usJune 05, 2023

    It’s All About the Data - Kirk Marple - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 031

    It’s All About the Data - Kirk Marple - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 031

    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)

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    Earley AI Podcast
    en-usMay 22, 2023

    The Holy Grail of AI - Alex Babin - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 030

    The Holy Grail of AI - Alex Babin - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 030

    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)

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    Earley AI Podcast
    en-usMay 08, 2023

    Artificial Voice Intelligence - Maxim Serebryakov - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 029

    Artificial Voice Intelligence - Maxim Serebryakov - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 029

    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)

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    Earley AI Podcast
    en-usApril 24, 2023

    Human Connection with AI - Michael Todasco - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 028

    Human Connection with AI - Michael Todasco - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 028

    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)

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    Earley AI Podcast
    en-usApril 10, 2023

    Machine Learning and Algorithms - Gordon Hart - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 027

    Machine Learning and Algorithms - Gordon Hart - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 027

    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)

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    Earley AI Podcast
    en-usMarch 27, 2023

    Human Cognitive Science - Daniel Faggella - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 026

    Human Cognitive Science - Daniel Faggella - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 026

    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)

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    Earley AI Podcast
    en-usMarch 13, 2023

    Data Tells the Story - Michelle Zhou - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 025

    Data Tells the Story - Michelle Zhou - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 025

    Today’s guest is Michelle Zhou, Co-Founder and CEO at Juji, Inc. Michelle joins Seth Earley and Chris Featherstone and dives into what proprietary data is and how it can be used correctly. Michelle also discusses the one lesson she has learned is that you have to build a product that can help people. You want to achieve your customers' outcomes, not your outcomes. Be sure to listen in on Michelle giving her advice on how to pick out the golden nuggets in AI data to show a coherent and meaningful summary!

    Takeaways:

    • When Michelle first started with computer science, she wasn't fond of it until she attended Michigan State University where two professors changed her perspective on computers. They gave her the opportunity to work on building graphical user interfaces for power management and worked on projects that dealt with AI data storytelling.
    • Michelle explains that the AI data storyteller gives a set of data and tasks of the user which then gives the user visual preferences. It also consists of a series of animated data visualization.
    • During Michelle’s first 15 years of research, she was working on understanding users in a task context. For example, what their tasks are, what they're looking for, what their visual preferences are, and what their verbal preferences were.
    • Michelle has noticed a lot of students will strive for a degree that their family has done in the past. Michelle says that you don’t always have to follow any degree you don’t want. There are so many unique degrees to pick from.
    • Michelle believes that transparency drives responsibility and since they have a powerful AI system, she wants to make sure that they use their AI in a responsible way.
    • The one lesson Michelle has learned is that you really have to build a product that can help people. Make sure to achieve your customers' outcomes and not yours. You don’t want to waste their time.

    Quote of the Show:

    “I want to really democratize the use of this cutting-edge technology.” (23:41)

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    Earley AI Podcast
    en-usFebruary 27, 2023

    Incentivizing Technology - Juan Sequeda - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 024

    Incentivizing Technology - Juan Sequeda - Earley AI Podcast with Seth Earley & Chris Featherstone - Episode # 024

    Today’s guest is Juan Sequeda, Principal Scientist at data.world and Co-Host of the Catalog & Cocktails Podcast. Juan joins Seth Earley and Chris Featherstone and shares how to understand the problem that you are trying to solve. Juan also discusses how your company's success should be defined differently. Don’t focus on just on saving money to make money. Focus on solving a problem.  Juan also shares valuable advice on how understanding who you report to helps you speak the same language.  


    Takeaways:

    • Juan believes the market is immature when it comes to what they want or what they think they want. This is where data catalogs become important so that companies can locate information. 
    • From the perspective of the data management world, it’s focused on only technology. The problems that they had been trying to solve 30 years ago continue to be the same problems they’ve been trying to solve.
    • If you are on the technical side of your business, it is important to understand who you should be reporting to. Understanding this early on will help you tailor information to meet the correct outcome. 
    • Juan’s definition of a knowledge graph is representing real-world concepts and the relationships between those real-world concepts end up forming a graph. The reason why the graph is really valuable is because you can integrate data coming from many diverse sources.


    Quote of the Show:

    “Keep working on the same vision.” (07:50)


    Links:

    Ways to Tune In:

    Thanks to our sponsors:

    Earley AI Podcast
    en-usFebruary 13, 2023

    Andy Fitzgerald on IA & Structured Content Design - Episode #23

    Andy Fitzgerald on IA & Structured Content Design - Episode #23

    In this episode, our guest is Andy Fitzgerald and Information Architecture & Content Strategy Consultant.

    Highlights:
    1:40 - Getting from Ph.D. in English and Literature in information architecture and knowledge graphs
    9:23 - Schema.org
    14:30 - How can we get search to be like "Google"?
    19:00 - The trouble with self-organizing information
    20:40 - The KFC debacle in Germany and case for keeping humans in the loop
    22:15 - Knowledge graphs and AI
    29:35 - Role of linguistics
    33:00 - What happens when you don't apply knowledge graphs to AI projects
    37:00 - Boutique knowledge graph - UXMethods.org
    48:00 - Value of smaller scale knowledge graphs and simplicity

    Links:

    Thanks to our sponsors:

    Earley AI Podcast
    en-usDecember 05, 2022

    Peter Voss on the Third Wave of AI - Episode #22

    Peter Voss on the Third Wave of AI - Episode #22

    In this episode, Seth and Chris talk with Peter Voss,  Founder, CEO, and Chief Scientist at AGI Innovations & Aigo.ai.

    Highlights:
    2:58 "Software is quite dumb"
    3:51 "What is reality?"
    5:00 Coining the phrase "Artificial General Intelligence" - what it means
    9:00 On understanding cognition in the deepest terms
    11:10 What is consciousness?
    15:20 Difference between "Artificial Intelligence" and "Artificial General Intelligence"
    19:00 The 3 waves of AI
    29:45 What is cognitive architecture?
    34:30 Quality of data vs quantity of data
    38:00 Practical applications for building personalization systems
    39:20 What can organizations do to prepare for AI driven systems?
    46:30 One corporate bot or multiple bots?
    53:45 Automation should be able to deliver the superior customer experience, not the cheaper second class option

    Links:

    Thanks to our sponsors:

    Earley AI Podcast
    en-usNovember 17, 2022
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