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: VKTR Earley Information Science AI 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: VKTR Earley Information Science AI 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: VKTR Earley Information Science AI 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: VKTR Earley Information Science AI 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: VKTR Earley Information Science AI Powered Enterprise Book

In this episode, Seth and Chris talk with Linda Andersson, Founder & CEO of Artificial Researcher about AI powered semantic search.Highlights:5:00 - Linda's journey to her work14:20 - Domain knowledge and ontologies17:07 - Knowledge extraction20:05 - Why we need ontologies20:50 - Bias and not knowing what you don't know25:40 - Structuring and curating the knowledge base30:00 - Supervised vs semi-supervised models38:15 - What is Academia missing 43:30 - Getting the right start for AI projectsLinksInformation about Artificial Researcherhttps://artificialresearcher.com/ www.linkedin.com/company/artificialresearcherDemo pages for index and the ontologies generated by the Artificial Researcher Data pipeline solution:https://passageretrieval.artificialresearcher.com/ https://graph-demo.artificialresearcher.com/Contact Linda:https://www.linkedin.com/in/linda-andersson-76483916/https://calendly.com/artificial-researcherThanks to our sponsors:Earley Information ScienceCMSWireMarketing AI InstituteThanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book

In this episode, Seth and Chris talk with Adam Sutherland about AI and machine learning in media and content.Highlights:2:20 Adam talks his journey from Asian studies to Amazon.12:00 A day in Adam's life and cool problems customers are solving17:30 Why we still can't find what we want on streaming services21:00 Biggest barrier to entry to AI enhanced solutions24:00 Best practices for tagging media assets25:00 When developing a bespoke model is the right decision28:30 AI isn't perfect but sometimes that's fine30:00 Personalization and recommendation engines34:30 Data lakes plus content metadata37:00 Emerging trends and techniques (really cool AI stuff in media)42:45 Predictions for the futureLinksContact Adam:https://www.linkedin.com/in/adamrsutherland/Thanks to our sponsors:Earley Information ScienceCMSWireMarketing AI InstituteThanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book

In this episode, Seth and Chris talk with Massood Zarrabian, CEO at BA Insight about how enterprise search is evolving - getting better (bringing greater value) and costing less.Congratulations to BA Insight on receiving the KMWorld 2021 Readers' Choice Award - Best Enterprise Search!Highlights:1:15 Massood's road from a Civil Engineering degree from MIT to BA Insight.5:00 Massood's philosophy on growing teams and companies - and how theater has influenced him8:25 Can enterprise search be like Google?13:30 Unstructured vs structured data17:45 The maturing of enterprise search 26:00 The last mile in enterprise search32:00 Building, maintaining, training your Index39:00 Bots and users don't care where the content lives42:30 Role of an information reference architecture49:00 Role of automation for tagging52:30 The future of enterprise searchContact Massood:mzarrabian@bainsight.comhttps://www.linkedin.com/in/massoodzarrabian/Links:BA Insight websiteThe AI Powered EnterpriseThanks to our sponsors:Earley Information ScienceCMSWireMarketing AI InstituteThanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book

In this episode, Seth and Chris talk with Mike Kaput, Chief Content Officer at Marketing AI Institute, about how out-of-the-box AI is providing immediate value to businesses of all types. Highlights:4:04 Mike's day to day & background11:30 Use cases & Planning28:02 Ethics  & Bias36:45 Where do you start with AI in marketing?40:00 Differentiation vs Standardization43:30 Barriers to entry47:35 Humans in the AI loopContact Mike:Mike@pr2020.comhttps://www.linkedin.com/in/mikekaput/Links:Marketing AI InstituteMAICON 2022State of Marketing AI ReportThe AI Powered EnterpriseThanks to our sponsors:Earley Information ScienceCMSWireThanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book

Many companies are turning to chatbots and virtual assistants to improve customer experience and increase operational efficiency. In the past text and voice channels were distinct. Now, tools and technologies are emerging to support omnichannel virtual assistants that seamlessly blend text and voice. However, voice and text interactions are quite different and have specialized design requirements. In this episode, Chris and Seth talk about core principles for building chat and voice assistants and review key considerations for each channel. How true intelligent virtual assistants (IVA’s) differ from chatbotsThe unique challenges of designing for voiceSelecting the right problems to solve with IVA’sSkills and talents needed for successGetting past stumbling blocks in order to scaleThanks to our sponsors: VKTR Earley Information Science AI Powered Enterprise Book