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Atlas/Events/Conferences 2026
broadcast-heavy conference agenda analysis

Conferences 2026

This broadcast-heavy conference in Technology / AI / Startup shows 44 visible agenda rows from conferences.techwell.com and scores 38/100: a thin but inspectable design signal. The clearest public signals sit in Problem Specificity and Learning Transfer; the main limits are Follow Through and Personalization. Visible mechanisms include Participant work, Network design, and Learning transfer. The public record does not show follow-up or tracking, so the score should be read as design intent rather than durable... 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 problem specificity and learning transfer and the biggest open question around follow through and personalization. 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 thin outcome architecture band. The strongest visible pillars are Problem Specificity, Learning Transfer, and Future-of-Work Fit; the thinnest visible pillars are Follow Through, Personalization, and Participation Architecture. Visible mechanisms include Participant work, Network design, and Learning transfer. The extracted agenda preview includes 81 visible rows. The most common formats are Presentation, Unknown, and Training; the most common inferred purposes are Knowledge Transfer, Unknown, and Skill Building.

Primary source evidence: conferences.techwell.com ↗

Eight-pillar fingerprint

Hover any pillar to see what it measures and, where it scored low, what the agenda is missing.

Participation Architecture?30
Participation Architecture - 30/100. 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?27
Personalization - 27/100. Role, path, goal, preparation, or connection tailoring for participants.Missing: Create role-based paths, prepared questions, tailored breakouts, or participant-specific next steps.
Network Design?36
Network Design - 36/100. Structured weak ties, bridge-building, mixers, and relationship persistence.
Learning Transfer?53
Learning Transfer - 53/100. Applied practice, feedback, workplace use, refreshers, and 30-90 day transfer.
Evidence Maturity?45
Evidence Maturity - 45/100. Baseline, comparison, follow-up, isolation, and attribution confidence.
Future-of-Work Fit?52
Future-of-Work Fit - 52/100. 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 (30/100)

Exercises that strengthen it: Make A World · Awestruck 3 Minutes · Spectrum Mapping

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

17 percent of the 81 classified blocks put participants to work; the rest broadcast, show, or handle logistics. That mix is what drives the participation score.

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Participant workBroadcastShowcaseLogistics
all eventPre-Conference TrainingTrainingSkill 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 eventKeynotesKeynoteExpert 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 eventTutorialsTrainingSkill 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 eventConcurrent SessionsPresentationKnowledge 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 eventBonus SessionsPresentationKnowledge 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 EventsNetworkingRelationship building+
Format · LogisticsNetworkingUnstructured mixing. Can carry incidental connection, but is not scored as designed network work.
Evidence basisOutcome inferred from formatInferred from format
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 eventTesting from the Inside: Unit Testing EditionPresentationKnowledge 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
8:30am to 12:00pmDo you want to take your testing and/or development skills to the next level? Are you working in an agile team where you are trying to shift-left so that your organization can reap the full benefits of testing earlier? In software testing, you're generally...PresentationPacing+
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 eventStop Guessing and Start Planning with Better Behavior DiscoveryPresentationKnowledge 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
8:30am to 12:00pmAre you tired of working on user stories that seem to be missing vital details for testing? Are you frustrated with being left out of vital design conversations? Or are you fed up with sizing estimates that never turn out to be true to reality? Then it’s...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 eventGetting Started with AI-Driven AutomationPresentationKnowledge 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
1:00pm to 4:30pmAI has been rapidly changing the way we approach software testing. Traditional test automation is time-consuming to create and breaks down easily in the presence of change. Thankfully, AI is helping testing teams create less procedural, more resilient tests...PresentationPacing+
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 eventFormulating Tests that Just Make Sense with GherkinPresentationKnowledge 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
1:00pm to 4:30pmHave you ever been assigned a test case whose steps just didn’t make sense? Perhaps you’ve even been so guilty as to write such a test! Writing clear, concise functional tests can be challenging, but it’s not impossible if we maintain a behavior-driven...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 eventA Quality Engineering Introduction to AI and Machine LearningPresentationKnowledge 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
8:30am to 12:00pmAlthough there are several controversies and misunderstandings surrounding AI and machine learning, one thing is apparent - people have quality concerns about the safety, reliability, and trustworthiness of these types of systems. Not only are ML-based...PresentationKnowledge 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 eventOops AI Did It Again: How to Get AI and Agents to Stop Being Weird and Actually Be Useful in Your BusinessPresentationKnowledge 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
8:30am to 9:45amWe're starting to see AI and agents everywhere. Let's admit it, though - at times they can be unruly. Not good! Why does this happen? Where can AI go wrong? How do we wrestle these tools into line? Maybe get them to wear a tie at times, if that's not asking...PresentationKnowledge 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 eventVibe Coding: It's Time to VibePresentationKnowledge 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
10:00am to 11:00amVibe Coding: It's Time to Vibe. Attend the keynote to find out more!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 eventAI/ML SDET: A Title Change or a New Role?PresentationKnowledge 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
11:30am to 12:30pmArtificial Intelligence/Machine Learning Software Development Engineer in Test. What a title! But what does that person even do? Are they using AI/ML to test software? Are they testing AI or ML? This isn’t just a title change for a software tester, this is...PresentationKnowledge 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 eventTest Strategy Roadmap for Moving from SAP ECC to S4 HANAPresentationKnowledge 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
2:45pm to 3:45pmIf your company uses SAP, there is a big challenge heading your way. Any company using SAP that has not already converted will face the massive effort of moving from SAP ECC to S4 HANA before the end of 2027. If you already feel overwhelmed by the demands of...PresentationKnowledge 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 eventPanel - Revolutionizing Test Automation: The Impact of Generative AI on Quality EngineeringPanelDiscussion+
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
4:15pm to 5:15pmAs Generative AI rapidly reshapes how we work, its impact on quality engineering and more specifically test automation is profound. Join our panel of AI and testing experts as they dive into how Gen AI is transforming testing practices, from creating smarter...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
all eventRedefining Quality: Empowering Autonomous Teams for SaaS ExcellencePresentationKnowledge 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
8:30am to 9:30amTraditional roles within software development teams are being redefined in today’s fast-paced world of cloud platforms and Software as a Service (SaaS). The rise of DevOps has blurred the boundaries between development and operations, emphasizing speed,...PresentationKnowledge 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 eventLeadership in Software Quality: Insights and Strategies from Industry ExpertsPresentationKnowledge 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
1:30pm to 2:30pmAre you navigating the challenges of leadership in the ever-evolving software quality industry? Join this dynamic panel discussion featuring seasoned leaders who will share their expertise, experiences, and actionable advice. This session is designed for...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
all eventTry and Come for My Job: When Vibe Coding Makes Sense - and How to Use (and Test!) ItPresentationKnowledge 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
3:00pm to 4:00pmOk, real talk? Vibe coding is exiting! You can absolutely use it in your shop, and still call yourself a "real dev," or a "real tester." But you can't ALWAYS use it. No, you should not deploy directly to prod. No, you shouldn't use AI-generated code without...PresentationKnowledge 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 eventBalancing AI Innovations with Fundamental QA PrinciplesPresentationKnowledge 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
8:45am to 9:45amThe pressure to adopt new technologies like AI and automation without a strong foundation in core QA principles is fraught with risk. Jumping into AI without understanding how to best leverage AI within QA for business success can cause quality issues. But...PresentationKnowledge 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 eventAssociated Training and ConsultingTrainingSkill 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 eventCoveros TrainingTrainingSkill 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 eventConference ScheduleUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventPre-Conference TrainingTrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventKeynotesKeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
all eventTutorialsTrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventConcurrent SessionsPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventBonus SessionsPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventLeadership SummitUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventWomen Who TestUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventNetworking EventsNetworkingRelationship Building+
Format · LogisticsNetworkingUnstructured mixing. Can carry incidental connection, but is not scored as designed network work.
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 eventVirtual AttendeeUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventTesting from the Inside: Unit Testing EditionUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
8:30am to 12:00pmDo you want to take your testing and/or development skills to the next level? Are you working in an agile team where you are trying to shift-left so that your organization can reap the full benefits of testing earlier? In software testing, you're generally taught to think outside the box, from a user's perspective. However, sometimes great ideas can be sparked from inside the box, by looking at the underlying code and using that knowledge to identify various ways to break the software. Join Tariq King as he walks through the fundamentals of program-based testing so that you can find bugs...BreakWellbeing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisMediumRead from source
all eventLearn MoreUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventStop Guessing and Start Planning with Better Behavior DiscoveryUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
8:30am to 12:00pmAre you tired of working on user stories that seem to be missing vital details for testing? Are you frustrated with being left out of vital design conversations? Or are you fed up with sizing estimates that never turn out to be true to reality? Then it’s time to stop guessing your way through product development and start planning it with better behavior discovery. In this tutorial, we will learn how three vital roles - business, development, testing - can collaborate on what features to build and test through the structured activities of story mapping and example mapping. We will practice...TrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventGetting Started with AI-Driven AutomationUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
1:00pm to 4:30pmAI has been rapidly changing the way we approach software testing. Traditional test automation is time-consuming to create and breaks down easily in the presence of change. Thankfully, AI is helping testing teams create less procedural, more resilient tests that are able to self-heal in the presence of modern, rapidly changing, highly dynamic production systems. This sounds great, but you may be asking yourself: How do I get started? What additional skills do I need to learn? What tools are available for me to start using, right now? Join Dionny Santiago as he breaks down different AI...BreakWellbeing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisMediumRead from source
all eventFormulating Tests that Just Make Sense with GherkinUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
1:00pm to 4:30pmHave you ever been assigned a test case whose steps just didn’t make sense? Perhaps you’ve even been so guilty as to write such a test! Writing clear, concise functional tests can be challenging, but it’s not impossible if we maintain a behavior-driven mindset. In this tutorial, we will learn how to break down complicated behaviors into runnable, repeatable test cases using the Gherkin language. We will frame tests using classic “Given-When-Then” scenarios that follow the Arrange-Act-Assert pattern. Through group exercises, we will hone our linguistic prowess to write expressive scenarios...TrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventA Quality Engineering Introduction to AI and Machine LearningUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
8:30am to 12:00pmAlthough there are several controversies and misunderstandings surrounding AI and machine learning, one thing is apparent - people have quality concerns about the safety, reliability, and trustworthiness of these types of systems. Not only are ML-based systems shrouded in mystery due to their largely black-box nature, they also tend to be unpredictable since they can adapt and learn new things at runtime. Validating ML systems is challenging and requires a cross-section of knowledge, skills, and experience from areas such as mathematics, data science, software engineering, cyber-security,...UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
all eventOops AI Did It Again: How to Get AI and Agents to Stop Being Weird and Actually Be Useful in Your BusinessUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
8:30am to 9:45amWe're starting to see AI and agents everywhere. Let's admit it, though - at times they can be unruly. Not good! Why does this happen? Where can AI go wrong? How do we wrestle these tools into line? Maybe get them to wear a tie at times, if that's not asking too much? Dona will tackle common pitfalls you might run into with AI and agents. She'll show you how to address the quirks that make AI seem unpredictable. You'll learn how to set clear expectations for AI performance, and design systems that work for YOUR business. She'll show you a framework to harness AI and agents effectively. And...UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
all eventVibe Coding: It's Time to VibeUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
10:00am to 11:00amVibe Coding: It's Time to Vibe. Attend the keynote to find out more!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 eventAI/ML SDET: A Title Change or a New Role?UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
11:30am to 12:30pmArtificial Intelligence/Machine Learning Software Development Engineer in Test. What a title! But what does that person even do? Are they using AI/ML to test software? Are they testing AI or ML? This isn’t just a title change for a software tester, this is really a mind shift and tool change. What if you don’t even have a UI in which to test your product? What if you don’t ship a UI or even a product? The world of software is changing with advancements in AI/ML and it is time to make sure we level up our testing abilities to match the revolution. Join Kevin as he walks you through his...UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
all eventTest Strategy Roadmap for Moving from SAP ECC to S4 HANAUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
2:45pm to 3:45pmIf your company uses SAP, there is a big challenge heading your way. Any company using SAP that has not already converted will face the massive effort of moving from SAP ECC to S4 HANA before the end of 2027. If you already feel overwhelmed by the demands of testing your company's transformation or haven't yet begun planning, this session is for you. Linda Hayes will discuss what is - and isn't - changing in your enterprise landscape and how to organize your test strategy into manageable steps to remove the most risk in the shortest amount of time. You will leave with a clear outline to...PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventPanel - Revolutionizing Test Automation: The Impact of Generative AI on Quality EngineeringPanelDeliberation+
Format · BroadcastPanelExperts discuss while the audience watches. Surfaces perspective but rarely creates participant work.
Evidence basisMediumRead from source
4:15pm to 5:15pmAs Generative AI rapidly reshapes how we work, its impact on quality engineering and more specifically test automation is profound. Join our panel of AI and testing experts as they dive into how Gen AI is transforming testing practices, from creating smarter automation frameworks to redefining manual testing roles. Explore cutting-edge tools, discuss the challenges of integrating AI into test strategies, and debate the ethical implications of AI-driven quality engineering. This thought-provoking session will be driven by your questions and thus provide actionable insights, inspire...PanelDeliberation+
Format · BroadcastPanelExperts discuss while the audience watches. Surfaces perspective but rarely creates participant work.
Evidence basisMediumRead from source
all eventRedefining Quality: Empowering Autonomous Teams for SaaS ExcellenceUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
8:30am to 9:30amTraditional roles within software development teams are being redefined in today’s fast-paced world of cloud platforms and Software as a Service (SaaS). The rise of DevOps has blurred the boundaries between development and operations, emphasizing speed, agility, and continuous delivery. Amid this transformation, the debate about whether to have a separate QA team is becoming increasingly irrelevant. Instead, the focus should shift to building autonomous, cross-functional teams equipped with the skills and ownership required to deliver high-quality SaaS products efficiently. Ronit...UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
all eventLeadership in Software Quality: Insights and Strategies from Industry ExpertsUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
1:30pm to 2:30pmAre you navigating the challenges of leadership in the ever-evolving software quality industry? Join this dynamic panel discussion featuring seasoned leaders who will share their expertise, experiences, and actionable advice. This session is designed for professionals at all levels, from aspiring leaders to seasoned managers, seeking to enhance their leadership capabilities. The panelists bring diverse perspectives on fostering innovation, maintaining quality in fast-paced environments, building high-performing teams, and leading through change. Attendees will gain practical insights into...PanelDeliberation+
Format · BroadcastPanelExperts discuss while the audience watches. Surfaces perspective but rarely creates participant work.
Evidence basisMediumRead from source
all eventTry and Come for My Job: When Vibe Coding Makes Sense - and How to Use (and Test!) ItUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
3:00pm to 4:00pmOk, real talk? Vibe coding is exiting! You can absolutely use it in your shop, and still call yourself a "real dev," or a "real tester." But you can't ALWAYS use it. No, you should not deploy directly to prod. No, you shouldn't use AI-generated code without code review by, you know, a human who knows what they're doing. Yes, you have to be careful. But you don't have to ward off vibe coding entirely, like fighting a vampire with garlic. You DO need to learn when to let 'er ride, and when to take the keyboard back. In this talk, Jeremiah will unpack the rise of vibe coding: that wild west...PresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
all eventBalancing AI Innovations with Fundamental QA PrinciplesUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
8:45am to 9:45amThe pressure to adopt new technologies like AI and automation without a strong foundation in core QA principles is fraught with risk. Jumping into AI without understanding how to best leverage AI within QA for business success can cause quality issues. But lagging behind your competitors when it comes to utilizing AI can result in loss of market share. Join Igor Dorovskikh as he guides QA leaders on creating a balanced approach that integrates the use of AI capabilities within essential QA fundamentals. You'll learn how to define and implement these core principles, identify the pitfalls...UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
all eventContactUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventAssociated Training and ConsultingTrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventCoveros TrainingTrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventAssociated Resources and PublicationsUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source

The Full Reading

Why It Ranks This Way +

Calibrated from GES design 37/100 and verified 38/100, then capped for agenda is mostly passive without visible outcome mechanics.

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 problem specificity and learning transfer and the biggest open question around follow through and personalization. The practical test is whether the published agenda connects the room to post-event continuation and evidence.

Strongest signals: Problem Specificity, Learning Transfer, and Future-of-Work Fit. Weakest signals: Follow Through, Personalization, and Participation Architecture.

How This Agenda Could Improve +
  • Add named owners, dates, implementation checkpoints, and a visible post-event continuation path.
  • Create role-based paths, prepared questions, tailored breakouts, or participant-specific next steps.
  • 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 +

Event owner lens

Use this record to benchmark whether a comparable event makes the work after the room visible. The score is 38/100, so the next move is to benchmark the weakest pillars before repeating the format.

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 conferences.techwell.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, 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

  • No visible follow-up, progress monitoring, or longitudinal tracking.
  • Passive stage formats dominate the visible agenda.
  • No baseline measurement is visible.

Score caps

  • 34: Agenda is mostly passive without visible outcome mechanics.

Review flags

  • Fourth-loop score cap: Agenda is mostly passive without visible outcome mechanics.
  • No source-backed follow-up, validation, baseline, tracking, or impact evidence.
  • 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.