Visualizing and Debugging Hugging Face’s LeRobot Data

◎ Online

Explore how AI systems can be engineered for efficient deployment on resource-constrained devices in this online AIoT Hub talk on 3 November 2026 at 6:00pm. Rethinking AI beyond the cloud As machine learning moves from powerful cloud infrastructure onto smaller devices, capable models alone are not enough. “(Re)-engineering AI” examines the systems-level challenges that determine whether AI can work efficiently and reliably in real-world, resource-constrained environments. Hosted by the AIoT Hub – Newcastle Upon Tyne community, formerly known as IoT North, this online talk features Blesson Varghese, Professor of Computer Science at the University of St Andrews. Rather than concentrating on one model or application, Varghese will unpack the engineering principles needed to make distributed and edge AI practical at scale. The presentation centres on three fundamental deployment problems: - ML systems do not run efficiently on small devices - Sequential dependencies can restrict efficient execution - AI workloads are highly memory-intensive Varghese will introduce research solutions developed through hands-on experience designing and deploying distributed and edge AI systems. Attendees will learn why existing approaches need to be reconsidered and how changing the design and execution of ML systems can support more practical AI deployment outside conventional cloud environments. About the speaker Blesson Varghese has more than 15 years of UK and international experience in the design, development and deployment of large-scale distributed computer systems. His research focuses on edge computing and distributed systems, with a strong emphasis on translating academic research into practical technology. He received the 2021 IEEE Rising Star Award and held a Royal Society fellowship in partnership with British Telecommunications plc. He directs the Rakuten Mobile-funded Edge Computing Hub and co-leads research within the UK’s National Edge AI Hub. His work has produced more than ten patent filings and has appeared in a New Scientist video series and the documentary Clouded. View the event and registration details

⌖ Madrid

Hosted by Tech Show Madrid (CloserStill Media)

Big Data & AI World Madrid brings big data, advanced analytics and artificial intelligence leaders together in Madrid on 4–5 November 2026. Spain’s meeting point for data and AI This two-day, on-site exhibition and conference gives attendees a focused view of the technologies shaping modern data operations and enterprise AI. Held in Madrid, the event brings together technology leaders, startups and specialised vendors to present innovations across the data and artificial intelligence landscape. The exhibition format offers a practical way to explore different technologies in one place, see how vendors are approaching current data and AI challenges, and compare platforms relevant to real-world implementation. Key areas highlighted by the organiser include: - Big data and data management, including the systems used to organise, govern and work with growing volumes of information - Advanced analytics and the technologies helping organisations turn data into useful insight - Machine learning, with innovations from technology providers and emerging companies - Artificial intelligence platforms designed for business and technical applications - The wider role of AI in business, from technology strategy to implementation Who should attend? Big Data & AI World Madrid is positioned for professionals evaluating, implementing or supplying data and AI technology. It will be particularly relevant to technology leaders, data and analytics practitioners, AI and machine learning professionals, startup teams, and decision-makers researching platforms for their organisations. The published event information does not specify a required experience level, but its specialist technology and business focus makes it most applicable to attendees with a professional interest in data infrastructure, analytics or AI adoption. The event takes place 4–5 November 2026 and is delivered on site in Madrid. The listed event language is English. A specific venue and speaker programme are not included in the currently published information, so prospective attendees should check the official event page for updates before arranging travel.… Register for this event

⌖ Leeds · Platform

Hosted by The Curve

A closed-door Leeds discussion for senior professional-services leaders on shadow AI, data sovereignty and accountability for AI-assisted decisions. Taking place from 8:30am to 10:30am on 4 November 2026 at Platform in Leeds, this focused session from The Curve tackles the gap between formal AI policy and how artificial intelligence is already being used inside organisations. From informal AI use to defensible control Employees may be turning to personal AI accounts because approved tools are inadequate or unavailable. Governance policies may reflect how the organisation operated a year ago, while regulation and everyday usage continue to evolve. Meanwhile, ownership can become unclear when an AI-assisted decision produces the wrong result. Rather than treating these challenges as employee discipline issues, the discussion will examine them as questions of organisational design. Attendees will explore: - Where sanctioned and unsanctioned AI may already be operating, and what that exposes - How to size governance according to genuine risk rather than impose blanket processes - Where data sovereignty matters, and where it may sit lower on the risk spectrum - How governance can withstand model drift, regulatory drift and growing teams - What effective governance looks like when translated from principles into daily practice - How organisations can train and supervise junior staff who may not yet recognise when AI output is wrong The aim is to help leaders move away from ungoverned or informal AI use and towards confident, proportionate and defensible control, without assuming that every business needs the same framework. Speakers and format The conversation will include Fiona Widd, Head of IT at Clarion Solicitors, and James Ridgway, CTO at The Curve. This is not an AI hype session or a lecture focused on the wording of legislation. It is a small, in-person, closed-door discussion for senior leaders in professional service organisations, designed around candid peer exchange and practical experience. The session will operate under the Chatham House Rule, creating space to discuss shadow AI, unclear ownership and operational exposure openly. Breakfast will be provided. View the event and registration details

Sponsors: CGI

⌖ Frankfurt · INFOMOTION GMBH

Das Data & AI Meetup Frankfurt bringt am 4. November 2026 Fachleute zusammen, um AI Agents, Datenschutz und AI Readiness praxisnah zu diskutieren. Von 18:00 bis 21:00 Uhr treffen sich im INFOMOTION Innovation Lab, Westhafenplatz 1 in Frankfurt, Expert:innen, Praktiker:innen und Entscheider:innen aus Data, Analytics und künstlicher Intelligenz. Der kostenfreie Abend verbindet konkrete Einblicke aus Unternehmensprojekten mit fachlichen Diskussionen und viel Raum für neue Kontakte. Vorträge und Themen Im Mittelpunkt stehen zwei zentrale Herausforderungen für Unternehmen, die generative AI und autonome Agenten produktiv einsetzen möchten: - Data & Privacy First. AI Ready – Andreas Mayer, Advisory Board Member bei U-KNOW.AI, zeigt, wie sich verteilte Unternehmensdaten sicher, datenschutzkonform und intelligent für AI nutzbar machen lassen. Der Vortrag beleuchtet damit eine wichtige Grundlage für echten Mehrwert durch generative AI. - AI Agents Everywhere – How Do You Manage Them? – Vincent Rijnbeek, Regional Vice President Germany bei Dataiku, spricht darüber, wie Unternehmen AI Agents zentral verwalten, transparent steuern und skalierbar governieren können – unabhängig davon, wo die einzelnen Agenten entwickelt wurden. - Ein dritter Speaker-Slot ist vorgesehen und wird noch bekannt gegeben. Das Meetup eignet sich sowohl für erfahrene Data- und AI-Fachleute als auch für Menschen, die gerade erst in diese Themen einsteigen. Besonders relevant ist es für alle, die sich mit Datenstrategie, Analytics, Datenschutz, generativer AI, Agent Governance oder der Einführung von AI in Unternehmen beschäftigen. Ablauf des Abends - 18:00 Uhr: Einlass, Pizza und Getränke - 18:30 Uhr: Offizieller Beginn - 18:35 Uhr: Fachvorträge - 20:15 Uhr: Networking und Austausch - 21:00 Uhr: Veranstaltungsende Nach den Präsentationen bleibt ausreichend Zeit, um Fragen mit den Speakern zu vertiefen, aktuelle Data-&-AI-Herausforderungen zu diskutieren und Kontakte zum INFOMOTION-Team sowie zu anderen Teilnehmenden aufzubauen. Wer selbst eine Success Story, einen Praxisvortrag oder Erfahrungen aus einem Data-, Analytics- oder AI-Projekt teilen möchte, kann sich außerdem über das LinkedIn-Profil des Organisators als Speaker für ein kommendes Meetup melden. View the event and registration details

⌖ Toronto · Amazon Toronto Office (YYZ18)

Hosted by Toronto AI Meetup

See a self-hosted AI agent query a Databricks warehouse live at TorontoAI and AWS User Group Demo Day in Toronto on 4 November 2026. This in-person demo will introduce db-agent, an open-source text-to-SQL agent that turns natural-language questions into queries. The presenter will run it against a Databricks SQL warehouse on AWS using a local LLM through Ollama, without a model API, per-question token costs or data leaving the organisation’s network. The session will cover: - What a locally hosted model handles well, and where it fails - Querying a Databricks warehouse with text-to-SQL - Privacy and cost considerations compared with metered model APIs - A read-only guardrail designed to stop destructive queries - The open-source db-agent codebase This practical session is particularly relevant to AI, data and cloud practitioners evaluating private, self-hosted approaches to enterprise data access. No broader agenda or additional speakers have been published. The event runs 6:00–8:00 PM EST on Wednesday, 4 November 2026 at Amazon Toronto Office (YYZ18), 18 York Street, Toronto. It is hosted by Chandan K. and Toronto AI Meetup, in collaboration with the AWS User Group. Registration is requested through the AWS User Group event listing. View the event and attendance details on Meetup.

⌖ Barcelona · Novotel Barcelona City

Hosted by RAPS

Explore how AI is being applied to healthcare product regulation at the RAPS AI in Regulatory Conference in Barcelona, taking place 5–6 November 2026. The AI in Regulatory Conference brings the use of artificial intelligence in regulated healthcare environments into focus. Organised by RAPS, the event is designed for people involved in the regulation of medical devices, pharmaceuticals and other healthcare-related products who want to understand AI’s place within this highly specialised field. Held at the Novotel Barcelona City in Barcelona, the conference provides a dedicated setting for examining the intersection of AI and regulatory practice. Its focused remit makes it particularly relevant for professionals considering how emerging technology may affect the oversight, development and regulation of healthcare products. Who is it for? The conference is aimed at the global regulatory community and those whose work intersects with healthcare product regulation. That includes people working with: - Medical devices - Pharmaceuticals - Biologics - Nutritional products - Healthcare and related regulated products - Artificial intelligence applications in regulatory contexts It may be especially useful for regulatory affairs professionals, healthcare product teams and others seeking a sector-specific perspective on AI rather than a general introduction to the technology. The event page does not specify a required level of AI knowledge, so prospective attendees should consult the official programme as further details become available. Why attend? AI raises distinct questions when it is applied in industries where products are closely regulated and can affect health outcomes. This conference offers an opportunity to concentrate on those issues within the context of the healthcare product landscape represented by RAPS. RAPS describes itself as the largest global organisation of and for professionals involved in regulating healthcare and related products. That specialist foundation distinguishes the conference from broader AI events: its emphasis is not AI in the abstract, but AI as it relates to the regulatory work surrounding devices, medicines, biologics and nutritional products.… Register for this event