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AI House @ AI Summit London 2026

date:2026-06-09
location:London, United Kingdom
series:AI House @ AI Summit London · one edition

AI House at AI Summit London. June 9, 2026 at Dockside Vaults. An invitation-only executive AI experience, Official Partner Event of AI Summit London.

titleauthorlength
Opening Remarks with Lisa FernihoughLisa Fernihough08m
Scaling AI is framed as an operational and organizational challenge not a research one with data showing 70% of leaders see AI as a priority and only 5%…
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Panel: AI Priorities in the EnterpriseKeith Klain37m
Companies report moving from experiments to production by building verticalized AI that shortens deal cycles (InvestorFlow) and by embedding automation into…
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Panel: Industry Impact - RetailCharlie Lyons33m
Retail shifts from experimentation to operational change with clear wins and real tradeoffs: physical stores remain crucial for high‑consideration items with…
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AI at Work with James PoulterJames Poulter33m
Argues that workplace AI is already living on desktops and in living rooms — Claude/OpenClaw on a Mac Mini used as a day-to-day “digital employee,” 20,000…
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Panel: Workforce TransformationBecks Perfect29m
Companies automate hiring end-to-end for enterprises hiring more than 500 people a year using Agent Tick–style agents, yet time-to-hire stays flat when…
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Panel: Navigating the AI Policy LandscapeZain Ali31m
Panel summarizes concrete actions and realities: regulators draft ~1,000 AI laws globally, EU fines up to ~7% of revenue, and states risk overbroad chatbot…
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Panel: AI Future - Where Investments Are Being MadeNicole Lowe26m
Panel shows founders embedding AI into products and operations, not just building LLMs: a haptic jacket combines electrical haptics and motion-capture jacket…
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One-on-One with Rich MerrettRich Merrett04m
Successful production requires an AI-empowered workforce plus governance and on‑boarded subject matter experts who re-engage as models change, with model…
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One-on-One with Sandrine DeveauxSandrine Deveaux05m
Argues that enterprise adoption is the real problem: teams rely on Copilot or ChatGPT but lack role-specific training and a measurable framework, so usage is…
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One-on-One with Lori MartellLori Martell03m
InvestorFlow explains how AI accelerates capital raising for private wealth and institutional investing by unlocking data in silos to produce more decision…
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One-on-One with Pete EricksonPete Erickson03m
Interview describes AI House as a three year effort by Modev and partners like KPMG to create concentrated one-day experiences inside big conferences that…
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One-on-One with Ksenia BartonKsenia Barton05m
Claims that consumer behavior is shifting: the marketing funnel collapses into a non‑linear journey as people ask questions and delegate to agents. Users…
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One-on-One with Yusuf Jazkallah and Sam GilstrapYusuf Jazkallah, Sam Gilstrap07m
Recruitment Smart Technologies and Asset Logic report that explainability and ROI metrics are the concrete blockers they hear across sectors, especially retail…
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One-on-One with Charlie LyonsCharlie Lyons05m
Argues that agentic commerce is moving from research to consumer reality while merchants still lack organized human data and basic personalization, and big…
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One-on-One with Keith KlainKeith Klain04m
KPMG quality engineering work argues firms are still in an experimentation phase using AI to speed existing workflows rather than redesigning problems, with…
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One-on-One with George CampbellGeorge Campbell06m
Company demo shows a full-body haptic suit used in enterprise training and rehabilitation, with live examples of simulated hazardous-waste, bomb-disposal and…
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One-on-One with Dan BlundellDan Blundell06m
Company launches structured AI program less than six months ago and broad adoption across teams runs at about four months; program is co-sponsored by CTO and…
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One-on-One with Dan AldisDan Aldis07m
Currys is consolidating customer data into a golden customer core and deploying AI across roles: thousands of staff get access to an enterprise Claude…
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Event Sizzle01m
KPMG frames AI House as a showcase of pilots that prove AI works but fail at scale unless organizations stop adding tools and instead focus on redesigning…
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