Event owner lens
Use this record to benchmark whether a comparable event makes the work after the room visible. The score is 30/100, so the next move is to benchmark the weakest pillars before repeating the format.
broadcast-heavy conference agenda analysis
Ai Expo 2026
This broadcast-heavy conference in Technology / AI / Startup shows 37 visible agenda rows from ai-expo.net and scores 30/100: a thin but inspectable design signal. The clearest public signals sit in Future-of-Work Fit and Problem Specificity; the main limits are Follow Through and Participation Architecture. Visible mechanisms include Participant work, Impact evidence, Network design, and Learning transfer. Follow-through or tracking is at least visible enough to inspect, though causal proof still depends on... A practical reading: For a reader, this is a comparison record more than a model to copy: it reads as a broadcast-heavy conference, with the strongest visible signal in future-of-work fit and problem specificity and the biggest open question around follow through and participation architecture. The practical test is whether the published agenda connects the room to execution quality beyond the public agenda. 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 thin outcome architecture band. The strongest visible pillars are Future-of-Work Fit, Problem Specificity, and Evidence Maturity; the thinnest visible pillars are Follow Through, Learning Transfer, and Participation Architecture. Visible mechanisms include Participant work, Impact evidence, Network design, and Learning transfer. The extracted agenda preview includes 70 visible rows. The most common formats are Unknown, Presentation, and Panel; the most common inferred purposes are Unknown, Knowledge Transfer, and Orientation.
Eight-pillar fingerprint
Hover any pillar to see what it measures and, where it scored low, what the agenda is missing.
Participation Architecture?22
Participation Architecture - 22/100. Participant work, contribution, interaction, and alternatives to passive broadcast.Missing: Turn passive airtime into participant work: practice, sensemaking, decisions, critique, or artifact creation.
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?31
Personalization - 31/100. Role, path, goal, preparation, or connection tailoring for participants.
Network Design?36
Network Design - 36/100. Structured weak ties, bridge-building, mixers, and relationship persistence.
Learning Transfer?22
Learning Transfer - 22/100. Applied practice, feedback, workplace use, refreshers, and 30-90 day transfer.Missing: Build transfer into the agenda through practice, feedback, job aids, reflection, and 30-90 day use cases.
Evidence Maturity?54
Evidence Maturity - 54/100. Baseline, comparison, follow-up, isolation, and attribution confidence.
Future-of-Work Fit?55
Future-of-Work Fit - 55/100. 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
Participation Architecture (22/100)
Exercises that strengthen it: Make A World · Awestruck 3 Minutes · Spectrum Mapping
Learning Transfer (22/100)
Exercises that strengthen it: Team Challenge Activity for Group Problem-Solving: Don't... · Thrilling, Quick Elimination Game to Boost Energy - Match... · Creative Brain Teaser & Fun Geometric Team Puzzle - T-Puzzle
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
3 percent of the 70 classified blocks put participants to work; the rest broadcast, show, or handle logistics. That mix is what drives the participation score.
Participant workBroadcastShowcaseLogistics
all eventDay One Gold AI LeadershipPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventDay One Gold Enterprise AIPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventDay One Free AI BuildersPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventDay Two Gold Data & AnalyticsPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventDay Two Gold Future AIPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventDay Two Free AI DeveloperPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventDay Two Free Physical AIPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventNetworking OpportunitiesNetworkingRelationship building+
Format · LogisticsNetworkingUnstructured mixing. Can carry incidental connection, but is not scored as designed network work.
Evidence basisOutcome inferred from formatInferred from format
all eventTechEx Learning Hub (Free to Attend)Day 1PresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventHybrid Cloud, DevOps, and Secure InfrastructureDay 2PresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventThreat Detection, Incident Response & Security OperationsDay 1PresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventGreen Investment, Digital Innovation, and Physical InfrastructureDay 1PresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventDigital Transformation in ActionDay 1PresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventEdge AI and Real-Time IntelligenceDay 1PresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventProductivity and Efficiency with Human-IA CollaborationDay 1WorkshopParticipant 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 eventIndustrial AI and Autonomous OperationsDay 1PresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
09:30 AM - 09:45 AMChairperson’s Opening RemarksOpeningOrientation+
Format · BroadcastOpeningFormat not classified from the source; treated as a broadcast block by default.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventChairpersons welcome and opening remarksOpeningOrientation+
Format · BroadcastOpeningFormat not classified from the source; treated as a broadcast block by default.
Evidence basisNo participant output visible from this rowRead from source, no work signal
9:45 - 10:25Panel: From Data Lakes to Data Products - What’s Next?PanelDiscussion+
Format · BroadcastPanelExperts discuss while the audience watches. Surfaces perspective but rarely creates participant work.
Evidence basisNo participant output visible from this rowRead from source, no work signal
10:30 - 11:00Aligning Data Architecture with AI AmbitionsPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
11:05 - 11:35AI at the Grid's Edge: How Industrial Operations Are Leading the Energy TransitionPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
11:40 - 12:10Observability for AI at Scale: Turning Data Pipelines into Business ValuePresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
12:10 - 12:30Networking BreakBreakRelationship building+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisOutcome inferred from formatInferred from format
12:30 - 13:00Agentic AI at Scale with Enterprise GuardrailsPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
13:05 - 13:25Scaling AI on a Cloud-Native Data MeshPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
13:25 - 14:10Lunch BreakBreakPacing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisOutcome inferred from formatInferred from format
14:10 - 14:40Turning Data into Decisions: How Shell Makes Master Data Work at ScalePresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisSession topic references decisions or metrics; event-level follow-through is not shownRead from source
14:45 - 15:05Operationalizing Data Science at Scale - From Experimentation to Enterprise DeploymentPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
15:10 - 15:30From Data Complexity to AI Opportunity: Designing Platforms that ScalePresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
16:00 - 16:20Enhanced Automation with From BI to AI - Evolving Data Platforms for Predictive and Prescriptive InsightsPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
16:25 - 16:45HR Compensation: Every pay decision, guided by humans, powered by AIPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisSession topic references decisions or metrics; event-level follow-through is not shownRead from source
16:50 - 17:30Panel: Unifying Data, AI & Business StrategyPanelDiscussion+
Format · BroadcastPanelExperts discuss while the audience watches. Surfaces perspective but rarely creates participant work.
Evidence basisNo participant output visible from this rowRead from source, no work signal
17:30Chairperson's Closing RemarksClosingOrientation+
Format · BroadcastClosingFormat not classified from the source; treated as a broadcast block by default.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventDay One Gold AI LeadershipUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventDay One Gold Enterprise AIUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventDay One Free AI BuildersUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventDay Two Gold Data & AnalyticsUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventDay Two Gold Future AIUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventDay Two Free AI DeveloperUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventDay Two Free Physical AIUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventNetworking OpportunitiesNetworkingRelationship Building+
Format · LogisticsNetworkingUnstructured mixing. Can carry incidental connection, but is not scored as designed network work.
Evidence basisMediumRead from source
all eventAI LeadershipDay 1UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventTechEx Learning Hub (Free to Attend)Day 1UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventHybrid Cloud, DevOps, and Secure InfrastructureDay 2UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventThreat Detection, Incident Response & Security OperationsDay 1UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventGreen Investment, Digital Innovation, and Physical InfrastructureDay 1UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventDigital Transformation in ActionDay 1UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventEdge AI and Real-Time IntelligenceDay 1UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventProductivity and Efficiency with Human-IA CollaborationDay 1UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventIndustrial AI and Autonomous OperationsDay 1UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
09:30 AM - 09:45 AMChairperson’s Opening RemarksOpening RemarksOrientation+
Format · BroadcastOpening RemarksFraming or welcome from the stage. Orients the room, not participatory.
Evidence basisMediumRead from source
all eventChairpersons welcome and opening remarksOpening RemarksOrientation+
Format · BroadcastOpening RemarksFraming or welcome from the stage. Orients the room, not participatory.
Evidence basisMediumRead from source
9:45 - 10:25Panel: From Data Lakes to Data Products - What’s Next?PanelDeliberation+
Format · BroadcastPanelExperts discuss while the audience watches. Surfaces perspective but rarely creates participant work.
Evidence basisMediumRead from source
all eventAs organizations mature their data platforms, the focus is shifting from simply storing data to delivering trusted, reusable data products that drive real business outcomes. This panel explores the evolution beyond traditional data lakes, examining data mesh, product-centric ownership, governance at scale, and the technologies enabling faster, more reliable analytics and AI. Industry leaders will share practical lessons on what’s working today, common pitfalls to avoid, and how enterprises can design their next-generation data ecosystems for agility, value, and impact.PanelDeliberation+
Format · BroadcastPanelExperts discuss while the audience watches. Surfaces perspective but rarely creates participant work.
Evidence basisMediumRead from source
10:30 - 11:00Aligning Data Architecture with AI AmbitionsUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
11:05 - 11:35AI at the Grid's Edge: How Industrial Operations Are Leading the Energy TransitionUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
11:40 - 12:10Observability for AI at Scale: Turning Data Pipelines into Business ValueUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
all eventAs organizations deploy AI across increasingly complex data platforms, visibility becomes critical to performance, reliability, and cost control. This session explores how to enable end-to-end observability across AI data pipelines, from ingestion and feature stores to model training and inference, helping teams identify bottlenecks, optimize infrastructure, and extract measurable business value from AI at scale.TrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
12:10 - 12:30Networking BreakNetworkingRelationship Building+
Format · LogisticsNetworkingUnstructured mixing. Can carry incidental connection, but is not scored as designed network work.
Evidence basisMediumRead from source
12:30 - 13:00Agentic AI at Scale with Enterprise GuardrailsUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
13:05 - 13:25Scaling AI on a Cloud-Native Data MeshUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
13:25 - 14:10Lunch BreakMealWellbeing+
Format · LogisticsMealA pacing block. Can carry unstructured networking, not scored as participant work.
Evidence basisMediumRead from source
14:10 - 14:40Turning Data into Decisions: How Shell Makes Master Data Work at ScaleUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
all eventIn this session, Nathalia Beekman shares her journey of implementing Master Data Management at scale, navigating complexity, breaking silos, and creating a single foundation of trusted data across the enterprise. We’ll unpack the real challenges large organisations face, why MDM is often seen as the “unicorn,” and how we made it tangible and valuable.BreakWellbeing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisMediumRead from source
14:45 - 15:05Operationalizing Data Science at Scale - From Experimentation to Enterprise DeploymentUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
15:10 - 15:30From Data Complexity to AI Opportunity: Designing Platforms that ScaleUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
16:00 - 16:20Enhanced Automation with From BI to AI - Evolving Data Platforms for Predictive and Prescriptive InsightsUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
16:25 - 16:45HR Compensation: Every pay decision, guided by humans, powered by AIUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
16:50 - 17:30Panel: Unifying Data, AI & Business StrategyPanelDeliberation+
Format · BroadcastPanelExperts discuss while the audience watches. Surfaces perspective but rarely creates participant work.
Evidence basisMediumRead from source
17:30Chairperson's Closing RemarksClosing RemarksOrientation+
Format · BroadcastClosing RemarksClosing framing from the stage. Wraps the event, not participatory.
Evidence basisMediumRead from source
The Full Reading
Why It Ranks This Way +
Calibrated from GES design 34/100 and verified 35/100 with no fourth-loop cap.
Reader Takeaway. For a reader, this is a comparison record more than a model to copy: it reads as a broadcast-heavy conference, with the strongest visible signal in future-of-work fit and problem specificity and the biggest open question around follow through and participation architecture. The practical test is whether the published agenda connects the room to execution quality beyond the public agenda.
Strongest signals: Future-of-Work Fit, Problem Specificity, and Evidence Maturity. Weakest signals: Follow Through, Learning Transfer, and Participation Architecture.
How This Agenda Could Improve +
- Add named owners, dates, implementation checkpoints, and a visible post-event continuation path.
- Build transfer into the agenda through practice, feedback, job aids, reflection, and 30-90 day use cases.
- Turn passive airtime into participant work: practice, sensemaking, decisions, critique, or artifact creation.
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 ai-expo.net. 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, Impact evidence, Network design, Learning transfer.
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
- Passive stage formats dominate the visible agenda.
- No baseline measurement is visible.
Score caps
- No fourth-loop score cap applied.
Review flags
- No tracking, validation, feedback, or impact measurement found in the visible source text.
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.