AI, Ethics, and the Future of Insights:

Explore how organizations can embrace automation without sacrificing creativity, trust, critical thinking, and human connection, while preparing their workforce for a future where people and AI agents work side by side. Key Takeaways: 1. Stop competing with AI. Start orchestrating it. 2. Protect human work that creates trust, creativity, and connection. 3. Design workplaces where people and AI agents thrive together.

Join us for our thesis on how to achieve Zero Distance to consumers, category and culture using Anthropology, AI and the Internet. Experience the Human Context Protocol through a live demo across trends, discourse, segmentation and foresight workflows, and hear stories from insights teams using it today. Key Takeaways: 1. Find out how the Human Context Protocol grounds LLMs in real cultural signals for deeper insight 2. Experience Zero Distance in practice: from research question to cultural answer in minutes 3. Hear from teams who have deployed Anthropologic and how it has changed the way they work

GenAI solved our volume problem but created a value crisis: 54% of leaders find AI output unactionable. We’re scaling noise, not intelligence. To fix this, quality control must be built-in by design. I’ll walk through our Cursor operation—checking claims against backend product reality across 3,000+ transcripts—to replace "human-in-the-loop" review with scalable backend governance. Key Takeaway: 1. The AI frontier in research is a unified context layer connecting customer claims to product reality 2. Humans must retain accountability by treating everything AI touches as a governed tech product. 3. Value begins when humans stop reviewing AI output line-by-line and start building governance.

How can AI accelerate innovation without losing the human core? Using insight communities, crowdsourcing, expert interviews and AI-powered workshops in the US and China, Human8 helped Alliance Pharma turn scar-care needs into 30 concepts. We’ll share three AI use cases: idea generation, idea clustering/prioritization and real-time concept visualization, and how human insight remained central. Key Takeaways: 1. AI is a good enabler for innovation processes, BUT it should never replace human critical thinking. 2. This Human Critical Thinking starts with the way your prompts look like. 3. The foundation should always be & continue to be: Real, human data.

Discover how AI can uncover the hidden drivers of innovation success and identify winning ideas more accurately than traditional concept testing alone. Drawing on a meta-analysis of 100+ beverage launches, this session shows how Cambri Launch AI combines consumer feedback, real-world sales and AI modelling to predict commercial success, explain why ideas win and improve innovation decisions. Key Takeaways: 1. Discover how AI-powered meta-analysis can reveal hidden drivers of innovation success 2. Learn how AI augments concept testing to better predict and explain commercial winners 3. See how consumer feedback, sales data and AI combine for smarter innovation decisions

AI isn't just making researchers faster. It's enabling new business models and uncovering new opportunities. Discover how to leverage AI across design, analysis, reporting, and commercialization to create scalable syndicated and custom research. Learn where AI adds value, where human expertise matters most, and how small firms can compete with larger organizations. Key Takeaways: 1. Understand how AI enables small firms to compete with larger organizations in entirely new ways. 2. Learn where AI drives efficiency and where human expertise creates competitive advantage. 3. Explore how to turn research into scalable IP, thought leadership, and new revenue opportunities.

AI is moving from a tool people experiment with to a force shaping what they discover, consider, and buy. In this 30-minute trends and demo session, John Gerzema, CEO of The Harris Poll, will unpack the latest research on AI adoption, from how consumers are using AI in everyday life to how professionals and researchers are embracing it at work, and where skepticism still stands. Then, Sam Kraus, Sr. Director of Research at The Harris Poll, will demonstrate what happens when AI enters the path to purchase: which brands are winning AI recommendations, which are losing ground, and what it takes to become the product AI recommends. Attendees will gain a clearer view of where AI adoption is headed, how consumer decision-making is changing, and what brands need to do now to stay visible, relevant, and preferred in an AI-powered world.

US use cases dominate the AI narrative. But the real signal comes from global founders navigating infrastructure gaps, regulatory friction, and resource scarcity. Using intelligence across 14 Google Accelerator programs in APAC, EMEA, and LATAM, this session explores how regional context shapes AI adoption differently—and what insights pros miss by only reading mainstream tech press. Key Takeaways: 1. AI isn't a monolith: Regional constraints completely reshape how founders build. 2. Emerging markets use problem-first AI to bypass broken infrastructure. 3. The mainstream tech press misses the real, durable signals of global adoption.

What if your consumer personas could answer questions, stress-test ideas, and explore trends on demand? Magnum and Vurvey built AI populations grounded in real demand occasions—and now use them across trend exploration, innovation framing, deep dives, and brand strategy. This is what always-on insight looks like in practice. Key Takeaways: 1. Static personas become interactive AI populations teams can query across any strategic question. 2. Grounding AI populations in demand moments instead of demographics produces sharper, faster decision 3. One insight framework can power trend work, innovation, deep dives, and brand strategy at once.

Traditional surveys and 1:1 interviews play a central role in Ancestry's insights work, but they increasingly found important customer context left unexplained. In this session, Ancestry's insights team shares how they evolved their approach to capture emotion, motivation, and nuance—while still operating at enterprise scale. Key Takeaways: 1. Where surveys and interviews break down when teams need confidence, not just direction 2. How customers' own words revealed insights that quantitative data consistently missed 3. What changed when richer customer stories became central to decision-making

Vibe Coding is having a moment, but don't let the word "coding" fool you. You can now create your own highly personalized tools without knowing how to write a single line of code. In this session, we'll de-mystify the world of vibe coding, share best practices for when and how to use it, and build a functioning Insights tool LIVE using nothing but conversational English, Claude, and creativity. Key Takeaways: 1. You don't need a technical background or code-writing skills in order to vibe code useful tools 2. Your repetitive, mechanical, or time-consuming tasks are prime candidates for vibe-coded solutions 3. Context is key: Clear, well-structured, highly detailed prompts yield the best first tool versions

From quantilabs experiment to validated solution: How Category Twins helps brands de-risk innovation in minutes. Synthetic data has generated massive buzz in market research—along with a healthy dose of skepticism. So, what does it actually take to transform an AI experiment into a trusted, enterprise-grade research tool? With Category Twins about to be fully released on the quantilope platform, join Dr. Jannik Meyners, Vice President of Data Science & AI, and Dr. Beatrice Capestany, Vice President of Solutions, for an exclusive look behind the scenes at our development journey. We’ll walk through how Category Twins evolved from our early-stage innovation hub, quantilabs, into a validated solution tested alongside 25 pilot clients. In this session, you’ll learn: •Where the data comes from: How we transform high-quality tracking data into interactive, reliable buyer personas. •The innovation roadmap: How real-world client feedback refined the tool from early beta to full release. •Practical application: How to "Interview" your Category Twins to test early-stage ideas and de-risk strategy in minutes—before spending budget in the real market.

AI is changing how we work, yet most workshops still follow the same old-fashioned playbooks. In this session, we'll explore practical techniques for redesigning workshops around human-AI collaboration to strengthen alignment, spark more diverse ideas, and prioritize effectively. Let's make workshops faster, better, and more fun.  Key Takeaways:  1. AI reduces time-to-ouput, allowing us to begin workshops with high-fidelity artefacts 2. Friction must be intentionally and strategically re-introduced to maximize quality and impact 3. Alignment was a secondary benefit which must be prioritised and nurtured

Every business wants to understand its customers, but customer truth is hard to pin down. Research design takes skill, findings need careful interpretation, and hard-won knowledge from past studies goes underused. Your expertise is what closes that gap. In this practical session, learn to put AI agents to work so your read of customer truth goes deeper and reaches the decisions that matter. Key Takeaways:  1. How to increase rigour by pressure-testing your design and findings as you go. 2. How to compound the value of your insights by mining your research history. 3. How to increase your influence by bringing judgment to the evidence.

Insights usually die with the project that created them. Postobón and Provokers are changing that: with DIALOG, an Insights-as-a-Service platform, every study feeds a living memory that teams query for each new decision. This is a transformation in progress — we'll share the real journey, from staged adoption to early wins and open challenges, not a polished success story. Key Takeaways: 1. Why insights compound: how reusing accumulated knowledge changes the economics of research. 2. What staged, low-risk adoption looks like in practice — and what we'd do differently. 3. Early lessons on governance, change management and getting teams to actually use the system.

What does it really take to turn research into decisions? We benchmarked the reporting process itself, timing every step from completed survey to stakeholder-ready deliverable. Lev Mazin and Stephanie Vance reveal where researchers lose the most time, what should stay human-led, and how AI is reshaping the path from findings to action — so teams can redirect reporting hours toward strategic work. Key Takeaways: 1. See where researchers lose the most time between completed findings and business decisions. 2. Learn how Skipper Custom Reports tailors decision-ready outputs for every audience. 3. Compare traditional vs. AI-assisted reporting with a real side-by-side benchmark.

Synthetic research can deliver a fast first read, but its greatest value often comes from what happens next. Using one realistic business question, we'll show how rapid follow-up studies help teams challenge early findings, test stronger alternatives, reveal important boundary conditions, and refine leading ideas. The result isn't just a faster answer, but a more informed decision. Key Takeaways: 1. Know when a synthetic finding is exploratory, directional, or decision-ready. 2. Use controlled reruns to see what holds, what changes, and why. 3. Learn to design research programs instead of standalone studies.

AI is changing research, but what's useful is hard to separate from the hype. Eric Knoben, Head of Insights at Listen Labs and former President of Emerald Research, shares where AI earns a place in the research process and where teams keep it out. Then Ryan Kelly, Insights Lead, demos Listen and shows exactly how it works, live, so you can judge it for yourself. Key Takeaways: 1. When to use AI-moderated interviews vs. human-led studies, and how to combine them 2. Guardrails for data quality, recruitment, and governance: what to automate and when not to 3. How insights teams operationalize AI research, with lessons to apply this quarter

Strong forecasts fail when stakeholders do not trust how they are defined, explained, or governed. This session shows how to make predictive analytics decision-ready through KPI alignment, transparent assumptions, clear narrative, and audit-ready design. Attendees will leave with a practical framework to turn forecasts into trusted business action. Key Takeaways: 1. Why insights compound: how reusing accumulated knowledge changes the economics of research. 2. What staged, low-risk adoption looks like in practice — and what we'd do differently. 3. Early lessons on governance, change management and getting teams to actually use the system.

As AI reshapes insights, this IIEX.AI session explores how synthetic data can create value, where caution is needed, and why validation is essential to trust. Attendees will learn how to evaluate AI-enabled research approaches and apply synthetic data responsibly, with quality and transparency at the center. Key Takeaways: 1. How can a quality validation step be applied to synthetic data? 2. What guardrails needed to ensure privacy, fidelity, utility, and decision confidence 3. How can synthetic data responsibly, with quality and transparency?

AI is making more of the research process faster, cheaper, and accessible to people well beyond the traditional insights function. If generating research and producing answers are no longer scarce capabilities, where will the industry’s value come from next? Brand-side insights professionals and leaders from major agency and technology partners will publicly have an open and honest discussion about what organizations will still need, value, and pay for in this new environment. They’ll explore which capabilities are becoming commodities, where human expertise and partnership will matter most, and how insights teams and providers must evolve to remain essential. This will not be a panel with polished answers. It'll be an open debate about what happens next and what kind of industry we want to build.