Event owner lens
Use this record to benchmark whether a comparable event makes the work after the room visible. The score is 46/100, so the next move is to benchmark the weakest pillars before repeating the format.
applied learning or working session agenda analysis
ODSC East
This applied learning or working session in Technology / AI / Startup shows 62 visible agenda rows from odsc.com and scores 46/100: a moderate design signal with incomplete evidence. The clearest public signals sit in Participation Architecture and Learning Transfer; the main limits are Follow Through and Evidence Maturity. Visible mechanisms include Participant work, Feedback, Network design, and Learning transfer. The public record does not show follow-up or tracking, so the score should be read as design... A practical reading: For a reader, this is a comparison record more than a model to copy: it reads as an applied learning or working session, with the strongest visible signal in participation architecture and learning transfer and the biggest open question around follow through and evidence maturity. The practical test is whether the published agenda connects the room to post-event continuation and evidence. This page is an original public-evidence analysis, not a copy of the source agenda or an endorsement of the event. The score places the visible agenda in the moderate design signal band. The strongest visible pillars are Participation Architecture, Learning Transfer, and Personalization; the thinnest visible pillars are Follow Through, Evidence Maturity, and Network Design. Visible mechanisms include Participant work, Feedback, Network design, Learning transfer, and Personalization. The extracted agenda preview includes 95 visible rows. The most common formats are Keynote, Training, and Workshop; the most common inferred purposes are Skill Building, Thought Leadership, and Expert Framing.
Eight-pillar fingerprint
Hover any pillar to see what it measures and, where it scored low, what the agenda is missing.
Participation Architecture?72
Participation Architecture - 72/100. Participant work, contribution, interaction, and alternatives to passive broadcast.
Follow Through?5
Follow Through - 5/100. Owners, dates, commitments, progress checks, and accountability after the room.Missing: Add named owners, dates, implementation checkpoints, and a visible post-event continuation path.
Problem Specificity?54
Problem Specificity - 54/100. A clear costly problem, objective, decision, or performance target.
Personalization?61
Personalization - 61/100. Role, path, goal, preparation, or connection tailoring for participants.
Network Design?42
Network Design - 42/100. Structured weak ties, bridge-building, mixers, and relationship persistence.Missing: Replace generic networking blocks with designed introductions, ask-offer exchanges, peer groups, or bridge-building rituals.
Learning Transfer?71
Learning Transfer - 71/100. Applied practice, feedback, workplace use, refreshers, and 30-90 day transfer.
Evidence Maturity?35
Evidence Maturity - 35/100. Baseline, comparison, follow-up, isolation, and attribution confidence.Missing: Add baseline measurement, comparison logic, tracking, or post-event impact reporting so effectiveness is not inferred only from format.
Future-of-Work Fit?44
Future-of-Work Fit - 44/100. Value against time, hybrid reality, accessibility, AI, and meeting load.
Fix the gaps
Field-tested exercises matched to this agenda's weakest pillars, from the exercise library.
Follow Through (5/100)
Exercises that strengthen it: Mental Toughness Workshop • WorkshopBank · 15% Solutions • WorkshopBank · Network Patches
Network Design (42/100)
Exercises that strengthen it: Fun Trust-Building Group Game for Team Connection - Izzat... · Exciting Group Trust Activity for Building Confidence... · PFP: September 2005
Problem Specificity (54/100)
Exercises that strengthen it: 0 - “Two Person Scene” Theory · Challenge Axis - Knowmium: The Un-Training Consultancy · Fist to Five • WorkshopBank
Agenda Preview
The actual agenda we captured. Every block is classified by format and purpose. Open any block to see how we read it; the colored edge shows whether it is participant work, broadcast, logistics, or a showcase.
Room vs wrapper
48 percent of the 95 classified blocks put participants to work; the rest broadcast, show, or handle logistics. That mix is what drives the participation score.
Participant workBroadcastShowcaseLogistics
all eventNetworking +NetworkingRelationship building+
Format · LogisticsNetworkingUnstructured mixing. Can carry incidental connection, but is not scored as designed network work.
Evidence basisOutcome inferred from formatInferred from format
all eventAI Expo & KeynotesKeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventTrainingTrainingSkill building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisParticipant work is implied by the formatInferred from format
all eventHands On TrainingWorkshopParticipant work+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisParticipant work is implied by the formatInferred from format
all eventKeynotes & Industry LeadershipKeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all event11 Years of Leadership in AI Training Conference.TrainingSkill building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisParticipant work is implied by the formatInferred from format
all eventLearn the top AI tools and get up-to-date knowledge, insights, and training onTrainingSkill building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisParticipant work is implied by the formatInferred from format
all eventPast KeynoteSpeakersKeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventCategories: East 2026 Keynotes, ODSC AI East 2026 Speakers - Speaker PageKeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventTensor Logic: The Language of AI(Keynote)KeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventCategories: East 2026 Keynotes, ODSC AI East 2026 Speakers - Main Page, ODSC AI East 2026 Speakers - Speaker Page, West Keynotes 2025KeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventThe Expertise Upheaval: How AI Promises to Transform the Nature of Work(AI X Leadership Keynote)KeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventArchitectural Patterns for Building and Governing Production-Grade Multi-Agent Systems(Keynote)KeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventCategories: East 2026 Keynotes, Mobile - East 2026 Speakers - Speaker Page, ODSC AI East 2026 Speakers - Speaker PageKeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventCrushed by the AI Elephant - Why Enterprise Teams Seeing Only Parts Kills Progress(Keynote)KeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventOpen Challenges for the Next Generation of Programming Agents(Keynote)KeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventBuilding Intelligent Applications: Practical Use Cases for Modern Data and AI(Keynote)KeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventNANDA for Agentic Commerce: when agents roam on the Internet(Keynote)KeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventBuilding Effective Agentic Systems(Workshop)WorkshopParticipant work+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisParticipant work is implied by the formatInferred from format
all eventCategories: Mobile-East 2026 Bootcamp Speakers, ODSC AI East 2026 Speakers - Main Page, ODSC AI East 2026 Speakers - Speaker PageTrainingSkill building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisParticipant work is implied by the formatInferred from format
all eventAPIs to OMG: Transform your API Data to fun Grafana Dashboards(Training)TrainingSkill building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisParticipant work is implied by the formatInferred from format
all eventSushant is a researcher at Google DeepMind working on post-training...TrainingSkill building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisParticipant work is implied by the formatInferred from format
all eventAgents Unchained: The Case For (and Against) Harnessing Multi-Agent Systems(Keynote Track Talk)KeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventReady for Primetime: Creating the AI-enabled Clinician(Keynote Track Talk)KeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventReinforcement Learning for LLM(Tutorial)TrainingSkill building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisParticipant work is implied by the formatInferred from format
all eventBuilding FSI Agents with Claude(Workshop)WorkshopParticipant work+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisParticipant work is implied by the formatInferred from format
all eventAI-ready Data: The Key to Trustworthy AI(Keynote Track Talk)KeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventBuild AISkills: Hands-On Training& WorkshopsWorkshopParticipant work+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisParticipant work is implied by the formatInferred from format
all eventFeaturing The Executive ActionLab:Higly- curated Roundtables,Cross-Industry Peer Insights,& Exclusive NetworkingWorkshopDiscussion+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisParticipant work is implied by the formatInferred from format
all eventAI expo and demo hallDemoShowcase+
Format · Participant workDemoA hands-on or applied walkthrough that invites attendee questions and direct engagement.
Evidence basisOutcome inferred from formatInferred from format
all eventImmersive hands-on trainingWorkshopParticipant work+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisParticipant work is implied by the formatInferred from format
all eventExpanded networkingNetworkingRelationship building+
Format · LogisticsNetworkingUnstructured mixing. Can carry incidental connection, but is not scored as designed network work.
Evidence basisOutcome inferred from formatInferred from format
all eventUnlock FreeAI Training VideosTrainingSkill building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisParticipant work is implied by the formatInferred from format
all eventProgram OverviewUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventSpecialization TracksUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventSchedule OverviewUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventPrevious ScheduleUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventNetworking +NetworkingRelationship Building+
Format · LogisticsNetworkingUnstructured mixing. Can carry incidental connection, but is not scored as designed network work.
Evidence basisMediumRead from source
all eventAI Expo & KeynotesKeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
all eventTrainingTrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventHands On TrainingWorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventKeynotes & Industry LeadershipKeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
all event11 Years of Leadership in AI Training Conference.TrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventSince 2015, ODSC has been the essential event for AI and data science practitioners, business leaders, and those reskilling into AI. We offer cutting-edge workshops, hands-on training, strategic insights, and thought leadership. Whether deepening technical skills, transforming a business with AI, or pivoting into an AI-driven career, ODSC AI provides unparalleled opportunities for learning, networking, and professional growth.WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventAs the leading technical AI conference, ODSC AI is THE must-attend event for AI builders and data science practitioners. It offers cutting-edge workshops, hands-on training sessions, and insights from industry leaders, ensuring that attendees stay at the forefront of their field.WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventView MoreUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventLearn the top AI tools and get up-to-date knowledge, insights, and training on:TrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventPast KeynoteSpeakersKeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
all eventCategories: East 2026 Keynotes, Mobile - East 2026 Speakers - Main Page, Mobile - East 2026 Speakers - Speaker Page, ODSC AI East 2026 Speakers - Speaker Page, West Keynotes 2025KeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
all eventCategories: East 2026 Keynotes, ODSC AI East 2026 Speakers - Speaker PageKeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
all eventTensor Logic: The Language of AI(Keynote)KeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
all eventCategories: East 2026 Keynotes, ODSC AI East 2026 Speakers - Main Page, ODSC AI East 2026 Speakers - Speaker Page, West Keynotes 2025KeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
all eventThe Expertise Upheaval: How AI Promises to Transform the Nature of Work(AI X Leadership Keynote)KeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
all eventCategories: East 2026 Keynotes, East 2026 Virtual Speakers, Mobile - East 2026 Speakers - Speaker Page, ODSC AI East 2026 Speakers - Main Page, ODSC AI East 2026 Speakers - Speaker Page, ODSC West 2025 Speakers - Home Page, ODSC West 2025 Speakers - Speaker PageKeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
all eventArchitectural Patterns for Building and Governing Production-Grade Multi-Agent Systems(Keynote)KeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
all eventCategories: East 2026 Keynotes, Mobile - East 2026 Speakers - Speaker Page, ODSC AI East 2026 Speakers - Speaker PageKeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
all eventRehgan Bleile is the Co-Founder and CEO of AlignAI, an AI Adoption and Governance Platform that is helping enterprises get value out of AI quickly and safely. With a decade of experience in this space, she has worked with highly regulated companies to design and architect data and AI solutions. As an industry leader, she has keynoted and spoken at over 50 conferences and several top podcasts discussing the challenges of the organizational changes needed to maximize the value of artificial intelligence.KeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
all eventCrushed by the AI Elephant - Why Enterprise Teams Seeing Only Parts Kills Progress(Keynote)KeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
all eventOpen Challenges for the Next Generation of Programming Agents(Keynote)KeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
all eventBuilding Intelligent Applications: Practical Use Cases for Modern Data and AI(Keynote)KeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
all eventNANDA for Agentic Commerce: when agents roam on the Internet(Keynote)KeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
all eventCategories: Bootcamp speakers, East 2026 Bootcamp Speakers, East 2026 Training Page Speakers, Mobile - East 2026 Training Page Speakers, ODSC AI East 2026 Speakers - Main Page, ODSC AI East 2026 Speakers - Speaker Page, ODSC West 2025 Speakers - Speaker Page, Training page speakersTrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventDr. Qingyun Wu is the co-creator and co-founder of AG2 (formerly AutoGen), a leading open-source AI agent framework with a monthly download of over 500k and a vibrant community of over 20k AI agent developers. Qingyun is also an Assistant Professor at the College of Information Science and Technology at Penn State University. Qingyun got her Ph.D. in Computer Science from the University of Virginia in 2020. Qingyun received the 2019 SIGIR Best Paper Award and the ICLR 2024 LLM Agent Workshop Best Paper Award.WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventCategories: East 2026 Bootcamp Speakers, East 2026 Training Page Speakers, Mobile - East 2026 Training Page Speakers, ODSC AI East 2026 Speakers - Main Page, ODSC AI East 2026 Speakers - Speaker PageTrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventAs a Forward Deployed Engineer at CrewAI, I work across sales, product, and customer delivery, partnering with prospects and customers from initial technical discovery through production deployment. I lead pre-sales engagements by translating business problems into concrete multi-agent solutions and support deal closure through hands-on demos, pilots, and architectural guidance.WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventBuilding Effective Agentic Systems(Workshop)WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventCategories: Mobile-East 2026 Bootcamp Speakers, ODSC AI East 2026 Speakers - Main Page, ODSC AI East 2026 Speakers - Speaker PageTrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventAPIs to OMG: Transform your API Data to fun Grafana Dashboards(Training)TrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventCategories: East 2026 Bootcamp Speakers, East 2026 Training Page Speakers, East 2026 Virtual Speakers, ODSC AI East 2026 Speakers - Main Page, ODSC AI East 2026 Speakers - Speaker PageTrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventSushant is a researcher at Google DeepMind working on post-training to improve coding capabilities of frontier large language models. Before Google, Sushant completed his masters in Machine Learning from Carnegie Mellon University.TrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventSushant is a researcher at Google DeepMind working on post-training...TrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventCategories: AI Expo and Keynote Speakers, Mobile - East 2026 Speakers - Main Page, ODSC AI East 2026 Speakers - Main Page, ODSC AI East 2026 Speakers - Speaker Page, ODSC West 2025 Speakers - Speaker Page, West Keynote Track SpeakersKeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
all eventAgents Unchained: The Case For (and Against) Harnessing Multi-Agent Systems(Keynote Track Talk)KeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
all eventGetting Beyond GIGO Analytics: What Serious Leaders Need To Know About Vibe Analytics Before Competitors - And For Customers(AI X Leadership Keynote)KeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
all eventReady for Primetime: Creating the AI-enabled Clinician(Keynote Track Talk)KeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
all eventReinforcement Learning for LLM(Tutorial)TrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventBuilding FSI Agents with Claude(Workshop)WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventCategories: AI Expo and Keynote Speakers, Bootcamp speakers, East 2026 Bootcamp Speakers, East 2026 Training Page Speakers, East 2026 Virtual Speakers, ODSC AI East 2026 Speakers - Main Page, ODSC AI East 2026 Speakers - Speaker Page, ODSC West 2025 Speakers - Home Page, ODSC West 2025 Speakers - Speaker Page, Training page speakers, Virtual Speakers, West 2026 Speaker Page, West Keynote Track SpeakersKeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
all eventHarry Mellor is a Machine Learning Engineer at Hugging Face, where he focuses on optimizing model deployment and inference. An engineer by training, Harry holds a Master’s degree in Engineering Science (MEng) from the University of Oxford.TrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventOlivia has worked at the intersection of computers, language and intelligence for over 15 years. She studied computational linguistics in school, and her career since has focused on data, machine learning, and AI. She started as an MLOps Engineer, scaling NLP training processes to serve hundreds of classical ML models. Later, she led a team to share those models across the company via inner source, then took many of those concepts to work in the trustworthy and responsible AI space. Since generative AI has taken off, she’s turned my focus towards innovating new patterns of AI and human interaction.TrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventAI-ready Data: The Key to Trustworthy AI(Keynote Track Talk)KeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
all eventPaco Nathan leads DevRel for the Entity Resolved Knowledge Graph practice area at Senzing.com and is a computer scientist with +40 years of tech industry experience and core expertise in data science, natural language, graph technologies, and cloud computing. He’s the author of numerous books, videos, and tutorials about these topics. He also hosts the monthly “”Graph Power Hour!”” webinar.TrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventBuild AISkills: Hands-On Training& WorkshopsWorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventFeaturing The Executive ActionLab:Higly- curated Roundtables,Cross-Industry Peer Insights,& Exclusive NetworkingRoundtableDeliberation+
Format · Participant workRoundtableSmall-group discussion where attendees contribute directly rather than only listening.
Evidence basisMediumRead from source
all eventODSC West was an absolute whirlwind of data-driven insights and inspiring networking opportunities. The quality of the speakers was truly exceptional, leaving me with an even higher appreciation for the power of data science to transform our world.NetworkingRelationship Building+
Format · LogisticsNetworkingUnstructured mixing. Can carry incidental connection, but is not scored as designed network work.
Evidence basisMediumRead from source
all eventAI EXPO AND DEMO HALLDemoShowcase+
Format · Participant workDemoA hands-on or applied walkthrough that invites attendee questions and direct engagement.
Evidence basisMediumRead from source
all eventMeet AI experts from some of the leading AI companies and startups in the industry at our AI Expo and Demo Hall. With multiple live demos get a better understanding of Build vs. Buy decisions and learn about the latest advancements in AI for enterprises and discover how to build AI betterDemoShowcase+
Format · Participant workDemoA hands-on or applied walkthrough that invites attendee questions and direct engagement.
Evidence basisMediumRead from source
all eventIMMERSIVE HANDS-ON TRAININGWorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventTop instructors help you acquire job-ready skills and stay current in LLMs, ML, DL, NLP, and more at ODSC AI East, the leading Boston AI conference. With dozens of sessions to choose from. Our immersive, expert-led training also offers certification for AI practitioners at all levels.TrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventPick the pass that suits your schedule and build job-ready skills. We offer 1 and 3-day passes that will give you the breadth and depth of content to succeed, from immersive training to inspirational talks. In addition, we have business and virtual passes.TrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventEXPANDED NETWORKINGNetworkingRelationship Building+
Format · LogisticsNetworkingUnstructured mixing. Can carry incidental connection, but is not scored as designed network work.
Evidence basisMediumRead from source
all eventExplore numerous in-person and virtual networking opportunities, or challenge yourself to connect with as many industry leaders as possible during our networking events at this Boston AI conference. Seize this opportunity to grow your professional network to forge invaluable connections within the growing field of AI!NetworkingRelationship Building+
Format · LogisticsNetworkingUnstructured mixing. Can carry incidental connection, but is not scored as designed network work.
Evidence basisMediumRead from source
all eventUnlock FreeAI Training VideosTrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventUnlock Free AI Training Videos from Past ODSC AI Events. Sign up to get instant access to expert sessions, plus exclusive discounts and updates.TrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventSince 2015, ODSC AI has been the essential event for AI and data science practitioners, business leaders, and those reskilling into AI. We offer cutting-edge workshops, hands-on training, strategic insights, and thought leadershipWorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
The Full Reading
Why It Ranks This Way +
Calibrated from GES design 49/100 and verified 45/100, then capped for no visible follow-up, tracking, or impact mechanism.
Reader Takeaway. For a reader, this is a comparison record more than a model to copy: it reads as an applied learning or working session, with the strongest visible signal in participation architecture and learning transfer and the biggest open question around follow through and evidence maturity. The practical test is whether the published agenda connects the room to post-event continuation and evidence.
Strongest signals: Participation Architecture, Learning Transfer, and Personalization. Weakest signals: Follow Through, Evidence Maturity, and Network Design.
How This Agenda Could Improve +
- Add named owners, dates, implementation checkpoints, and a visible post-event continuation path.
- Add baseline measurement, comparison logic, tracking, or post-event impact reporting so effectiveness is not inferred only from format.
- Replace generic networking blocks with designed introductions, ask-offer exchanges, peer groups, or bridge-building rituals.
Fastest next move: Add named owners, dated next steps, and a visible continuation path before treating the event as outcome-ready.
Role-Specific Reading +
Sponsor lens
Look beyond exposure. Strong sponsor value would show qualified interaction, problem work, buyer learning, customer evidence, or follow-up. The practical sponsor move is to look for structured introductions, buyer-seller fit, and relationship persistence.
Designer lens
The agenda is useful as a pattern sample from odsc.com. Redesign attention should go first to the lowest-scoring pillars; in practice, turn the thinnest agenda blocks into participant work.
Executive lens
Treat the visible agenda as an operating plan. The executive move is to require owners, dates, and evidence before treating the event as strategic. If owners, proof, and follow-through are not visible, the public record does not yet prove strategic movement.
Aggregator lens
Treat the source URL as evidence, not decoration. The data-product move is to label the source boundary clearly before ranking the record before ranking or syndicating the record.
What GES Means Here +
The Gathering Effectiveness Score is a strict 0-100 public-evidence reading of the agenda across eight pillars. It rewards visible participant work, follow-through, transfer, network design, and proof mechanisms more than polish, speaker fame, attendance, or satisfaction.
Visible mechanisms: Participant work, Feedback, Network design, Learning transfer, Personalization.
Evidence boundary: Scores reflect visible agenda/source evidence and should not be read as proof of causal event impact.
Limitations, Score Caps, and Review Flags +
Limitations
- No visible follow-up, progress monitoring, or longitudinal tracking.
- No baseline measurement is visible.
Score caps
- 42: No visible follow-up, tracking, or impact mechanism.
Review flags
- Fourth-loop score cap: No visible follow-up, tracking, or impact mechanism.
- No source-backed follow-up, validation, baseline, tracking, or impact evidence.
- Satisfaction/NPS signal found, but it is excluded from effectiveness scoring.
- No tracking, validation, feedback, or impact measurement found in the visible source text.
- High cleanup rate: many extracted rows were hidden or merged as fragments.
Is this proof the event worked? +
No. This is a strict public-evidence reading of the agenda. Proof would require baseline, comparison, follow-up, attribution, and impact evidence beyond the listing.
What should a reader inspect first? +
Start with the source URL, then compare the eight pillar scores against the agenda rows. The biggest opportunities usually sit in follow-through, evidence maturity, and participant work.
Why publish weak records? +
Weak records are part of the map. They show where public agendas still describe sessions and speakers more often than outcomes, commitments, transfer, or proof.
How should I use the rows? +
Read the agenda rows as the visible design trace: formats, purposes, and evidence labels show what the public source made inspectable, not everything that happened in the room. This is a source-grounded interpretation of the public agenda record, not a copy of the source, and not an endorsement of the event.
Where To Go Next
Compare this agenda against other Technology / AI / Startup events scored on the same eight pillars.