Earley AI Podcast

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: VKTR Earley Information Science AI 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: 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