Earley AI Podcast

In this episode, Seth and Chris talk with Tom Davenport, author of The AI Advantage How to put the artificial intelligence revolution to work.4:40 On getting started in this space7:47  What is most important today for organizations that are trying to operationalize AI 16:05 How organizations are doing in the human collaboration space and knowledge space21:26  What is slowing organizations down…is it infrastructure or understanding? 31:40 Do organizations need to get ahead of the curve for augmented reality34:12 Tom's take on Gartner’s prediction on Knowledge Management for AI…the largest growing segment and the largest spend 40:08  Customer experience and personalization…are you seeing organizations doing that effectively? 46:56 Democratization of AI 50:30 What is in store for 2022Links:The AI Advantage Only Humans Need ApplyTomDavenport.comThanks to our sponsors:Marketing AI InstituteCMSWireEarley Information ScienceAI Powered Enterprise BookThanks to our sponsors:VKTREarley Information ScienceAI Powered Enterprise Book

In this episode, Seth and Chris talk with Michael Schrage, Fellow at MIT Sloan School's Center for Digital Business and author of the book, "Recommendation Engines."Highlights:3:44: checkered past12:50: covering the overwhelming nature of technology 15:50: why do people make decisions 18:21: Perfect choice-what are the right choice architectures? 24:25 Recommendation engines: The hand you're delt - how the bluff matters26:15: How do we use tools and technologies to come up with better and more reliable advice?32:50: Ethical topics 49:06: What impact does good advice have on agency and autonomy 52:30: What Michael is working on next Links:Book: Recommendation EnginesThanks to our sponsors:Marketing AI InstituteCMSWireEarley Information ScienceAI Powered Enterprise BookThanks to our sponsors:VKTREarley Information ScienceAI Powered Enterprise Book

In this episode, Seth and Chris talk with Stephanie Lemieux, President of Dovecot Studio about the nuts and bolts of taxonomy and information architecture.Highlights:1:42 - Stephanie Lemieux background & Relationship with IA & Taxonomy7:30 - Complexities & Foundational Problems15:05 - Graph data and knowledge graphing22:15 - Dynamic roles within an organization37:27 - Leveraging weak signals and solutions48:48 -What's the "excuse case"50:59 - Value difference between large global and integrated organizations vs. a focused and niche organization53:35 - Opinion on finding talentLinks:KMWorld Conference Taxonomy Boot CampDovecot StudioThanks to our sponsors:Marketing AI InstituteCMSWireEarley Information ScienceAI Powered Enterprise BookThanks to our sponsors:VKTREarley Information ScienceAI Powered Enterprise Book

In this episode, Seth and Chris talk with Jeff Coyle about how AI is impacting content strategy.Highlights:2:55 - Craft beer - on winning the award for a Mexican lager10:00 - Jeff's path to a passion for SEO14:30 - On using data to decide what to write about20:00 - What does Google think you think is important on your site?25:00 - Publishing low quality content is like a time bomb36:00 - Existential risk of not using data to drive content decisions39:00 - If you're not there at the top of the funnel you don't deserve to be at the bottom41:45 - Owning a content space - what it takes56:00 - Future of AI's role for content strategyLinks:MarketMuse websiteContent Strategy Guides & Case StudiesMarket Muse Content Strategy WebinarsMAICONhttps://www.linkedin.com/in/jeffcoyle/Thanks to our sponsors:Earley Information ScienceCMSWireMarketing AI InstituteThanks to our sponsors:VKTREarley Information ScienceAI Powered Enterprise Book

In this episode, Seth and Chris talk with Mark Anderson about the new field of pattern discovery and its impact on AI.Highlights:11:45 Path to pattern discovery17:15 Eliminating the  hypothesis and focus on the data with a Y value30:00 Solving the most challenging problems with pattern discovery40:00 Making sure this technology is only used for good42:15 Identifying a COVID test that is 98% effective within minutes44:30 Pattern recognition processors48:30 The importance of clean data and making the most of the data you have52:00 Best use cases for pattern discoveryLinks:Book: The Pattern Future: Finding the World’s Great Secrets and Predicting the Future Using Pattern Discovery  https://www.amazon.com/gp/product/B07659RJGB/ref=dbs_a_def_rwt_bibl_vppi_i0About Pattern Computer https://www.patterncomputer.com/Paper: Learning from learning machines: a new generation of AI technology to meet the needs of science https://arxiv.org/abs/2111.13786Contact Mark:https://www.linkedin.com/in/markandersonpredicts/Thanks to our sponsors:Earley Information ScienceCMSWireMarketing AI InstituteThanks to our sponsors:VKTREarley Information ScienceAI Powered Enterprise Book

In this episode, Seth and Chris talk with Tim Huckaby about the his experience as a software developer in the 90s and his take on the future of AI and computer vision.Highlights:4:30 Developing software at Microsoft in the 90s11:00 Hollywood stories14:30 Leaving Microsoft and building an app dev firm17:00 Building CNN's "Magic Wall"22:30 Predictions gone wrong and right29:00 Pace of change in ML - quantum computing38:00 Augmented reality and computer vision48:00 AI and ethicsContact Tim:https://www.linkedin.com/in/timhuckaby/Thanks to our sponsors:Earley Information ScienceCMSWireMarketing AI InstituteThanks to our sponsors:VKTREarley Information ScienceAI Powered Enterprise Book

In this episode, Seth and Chris talk with Sean Martin about the development and practical applications of knowledge graphs.Highlights:5:30 – First online sports scoring website launched9:00 – First forays into semantics applications13:00 – Getting through scaling issues16:30 – On needing to build the entire stack for knowledge graphs 18:00 – The business problems that Cambridge Semantics solves24:45 – Dealing with and making sense of unstructured content29:30 – Data models for natural language queries32:00 – About the book “The Rise of the Knowledge Graph”34:00 – What is an ontology and how does it relate to knowledge graphs42:30 – What’s next?Contact Sean:https://www.linkedin.com/in/seanjmartin/Get the book: The Rise of the Knowledge Graphhttps://info.cambridgesemantics.com/the-rise-of-the-knowledge-graph-oreillyThanks to our sponsors:Earley Information ScienceCMSWireMarketing AI InstituteThanks to our sponsors:VKTREarley Information ScienceAI Powered Enterprise Book

In this episode, Seth and Chris talk with Paul Zhao about making AI more accessible for everyone.Highlights:5:00 on being a tech entrepreneur30:00 after the buy out challenges - what now?39:00 advice to the non-technical on gaining business value with AI/ML50:00 on build vs buy Contact Paul:https://www.linkedin.com/in/ppzhao/Thanks to our sponsors:Earley Information ScienceCMSWireMarketing AI InstituteThanks to our sponsors:VKTREarley Information ScienceAI Powered Enterprise Book

In this episode, Seth and Chris talk with Paul Lasserre about his experience developing applied AI applications. Highlights:4:15 Link between AI and chasing pirates in the Navy7:00 On getting into customer experience as a ML problem10:00 On the challenges of internally selling new ideas15:00 On measuring success18:30 On rules vs machine learning26:30 Creating a better customer experience28:00 On leaving Genesys and moving to AWS 35:30 How to give people the support they want42:00 What he's working on now and what's nextContact Paul:https://www.linkedin.com/in/paul-lasserre/Thanks to our sponsors:Earley Information ScienceCMSWireMarketing AI InstituteThanks to our sponsors:VKTREarley Information ScienceAI Powered Enterprise Book

In this episode, Seth and Chris talk with Henrik de Gyor about his research on synthetic media.Highlights:11:15 Defining synthetic media13:30 Rights management19:14 Nefarious applications21:30 Provenance  & Ethics37:00 Applications and tools today48:30 Future applicationsLinksBook: Synthetic Media: The Next Realityhttps://www.amazon.com/gp/product/B09MJW7BX1/Podcast: Synthetic Mediahttps://open.spotify.com/show/5N7Qnx1qI1QOo6Q6T5jziJSynthetic FuturesContact Henrik:https://www.linkedin.com/in/hdegyor/Thanks to our sponsors:Earley Information ScienceCMSWireMarketing AI InstituteThanks to our sponsors:VKTREarley Information ScienceAI Powered Enterprise Book