Discover upcoming online AI conferences for 2026.

### Overview
BigQuery Day is a free, one day virtual event focused on running BigQuery at scale. Hosted by Eon with speakers from Google Cloud and industry practitioners, the event centers on making BigQuery spend predictable, performance reliable, and governance manageable in production environments. Attendees are typically teams responsible for cost control, reliability, data access, and AI initiatives that rely on BigQuery. The agenda covers FinOps guardrails, secure high performance data platforms, responsible AI usage in BigQuery, and rollback and recovery practices when things go awry.

### What you’ll learn
The program highlights practical guidance on cost governance and optimization, performance predictability, and secure data architectures. Sessions explore FinOps strategies to reduce waste, ways to govern BigQuery without creating ticket queues, and how to deploy AI features safely inside BigQuery. Speakers discuss how to build secure, scalable data platforms that still emphasize speed and cost efficiency, with concrete techniques for query optimization, partitioning and clustering, and implementing fine-grained access controls.

### Agenda
What’s on the agenda includes a keynote and a set of practical sessions focused on real world BigQuery usage at scale. Topics cover cost management and guardrails, secure and high performance architecture, AI integration within BigQuery, data rollback and recovery strategies, and production readiness for data platforms. Several sessions are designed to be hands-on and practitioner-focused, with real world examples and patterns you can apply in your own environment. There is also coverage on how to monitor FinOps, set up dashboards and alerts, manage budgets across projects, and maintain data reliability during rapid AI-driven workloads. A closing panel discusses cost, access, and what's coming next for BigQuery at scale.

### Speakers
The lineup includes engineers and leaders from Google Cloud and industry practitioners. Notable participants include Tomas Talius, VP of Engineering for Google BigQuery; Ofir Ehrlich, Senior Data Engineer; Alicia Williams, Developer Advocate; Pedro Conde Fernández, Lead Data Engineer; Sayle Matthews, The BigQuery Dude; Constantin Lungu, Senior Data Engineer; Vishal Bulbule, Google Developer Expert; Oryan Omer, Senior Software Engineer; Liore Shai, Solutions Architect at Eon; Axel Thevenot, Google Developer Expert; and Matt Dixon, Director of Data Platform at Northwell Health. Sessions pair technical depth with practical business guidance, reflecting the needs of teams responsible for scale, governance, and cost control.

### Format
The event is delivered as a virtual conference with live and pre-recorded sessions, Q&A segments, and access to session recordings post event. Registrants receive continuing access to the content and materials, and there are opportunities to engage with speakers and organizers during the day. The format emphasizes actionable takeaways and battle-tested patterns suitable for production environments.

### FAQ
Common questions address who should attend (teams operating BigQuery at scale), whether sessions are live or recorded (a mix of live and pre-recorded to maintain pacing), access to recordings (included post-event), question opportunities during sessions (live Q&A), and how to become a speaker or suggest topics (contact the organizers). Attendees can register to save a spot, with recordings available for those who cannot attend in real time. 

### Who should attend
This event is built for operators who run BigQuery in production, including analytics engineers, data engineers, and leadership responsible for cost, governance, and scalability of analytics platforms.

### FAQ highlights
Expect practical guidance on cost governance, performance, security, and rollback. The content is designed to be accessible to practitioners and leaders alike, with concrete steps and patterns to apply immediately in BigQuery environments.

BigQuery Day

### Overview
The Power BI Summit 2026 is a virtual conference that brings together professionals, developers, analysts, and data enthusiasts to explore the latest in Microsoft Power BI and related data platform technologies. The event is designed to be accessible without travel costs, offering a comprehensive program of sessions, workshops, and interactive formats that can be joined remotely from anywhere with an internet connection. The summit is organized by Summit 365 GmbH and features a collaborative sponsor ecosystem that includes DataPioniere GmbH, Studio 365 GmbH, CloudPandas, Summit 365 GmbH, Solutions2Share GmbH, IT-Schulung.com, Digital Touch GmbH, Power Manufaktur GmbH, and others. A Community Ticket is available at no cost, with registration and participation supported by the event platform.

### Agenda
The event spans two days, with a mix of keynote talks, track sessions, hands on workshops, and network opportunities. Sessions cover topics such as data modeling, performance optimization, Fabric data integration, reporting transformations, and advanced visualization techniques. Tracks are designed to cater to different levels of experience, from beginners to advanced practitioners. The platform emphasizes a practical focus, with real world use cases and demonstrations of best practices for building, deploying, and governing Power BI solutions. A scheduled schedule and venue details are provided within the event portal, including access to recordings and session materials after live delivery where possible.

### Format
This is a fully online event with virtual locations and live streams. Attendees participate through a web-based environment that supports sessions, workshops, and Q&A. The event supports free attendance as well as sponsor led sessions, with the possibility to join breakout rooms for more focused discussions. The summit uses a community driven model, enabling attendees to network, share insights, and collaborate on projects. The event offers a flexible approach to engagement, including live sessions, on demand content, and opportunities to interact with speakers and sponsors.

### Speakers
A diverse lineup of experts participates as speakers and presenters. Notable contributors include Alexander Korn, Niklas Weinstok, Elias Gieswein, Heike Hofert, Fabian Heidenstecker, Marcus Wegener, Kathrin Borchert (MVP), Andreas Läubli, David Winter, and several others. Each speaker brings experience from roles such as Solution Engineer Data Platform, Reporting Transformation Expert, and Microsoft Fabric specialists. The speaker roster also includes industry leaders and MVPs who contribute practical insights, demonstrations, and best practice guidance for Power BI and related data technologies.

### FAQ
Q: Is the event online only? A: Yes, the Power BI Summit 2026 is a virtual event with online access.
Q: Are tickets free? A: Community Tickets are available at no cost.
Q: What is the time frame? A: The summit runs over two days, with sessions, workshops, and networking opportunities scheduled across both days.
Q: Will session materials be available afterward? A: Some content may be available on demand after the live sessions.

### Who should attend
This event is suitable for data professionals, BI developers, data engineers, analysts, and IT decision makers interested in Power BI, Microsoft Fabric, and the broader data platform ecosystem. It is designed to be accessible for both technical and business audiences looking to expand their knowledge, network with peers, and learn practical strategies for delivering data driven insights using Power BI. Attendees should come prepared to engage with live sessions, participate in hands on workshops, and connect with potential sponsors for practical collaborations.

### Organizer and venue
The event is hosted by Summit 365 GmbH and takes place online. The virtual format enables attendees from various regions to participate without travel requirements, offering a scalable and accessible conference experience for a broad audience.

Power BI Summit 20. - 21. Mai 2026

### Overview
TThe event is a large technical conference focused on artificial intelligence, machine learning and data analytics. It gathers analytics professionals, ML/DS engineers, product managers and CPOs from ecommerce, banking, telecom, retail, and related sectors. The conference emphasizes practical application of AI in business, product development, experimentation and data-driven decision making. The program spans multiple tracks and formats, combining talks, panel discussions and expert sessions to share concrete experience in product science, A/B testing, behavioral economics and business efficiency.

### Location and format
The page describes a hybrid program with online participation (14 May) and an in-person cluster at Lomonsov (22 May) in Moscow. The venue appears to be associated with Moscow institutions in the vicinity of the university campus. The event features an online streaming option, professional recording and post-event materials. The site highlights easy access to the program, ticketing and partnering opportunities, along with a strong emphasis on networking and peer learning.

### Agenda and tracks
The conference presents more than 50 talks, panel discussions and expert sessions, organized into tracks such as Analytics, ML/AI Development, and Product Management. The agenda includes case studies, debates and guided sessions on ML implementation, ML-driven pricing, recommender systems, and the economics of scaling AI in production. There are dedicated sessions for system design, data engineering, MLOps, and open source AI agents for analytics, all aimed at practitioners who want to translate theory into measurable business impact.

### Speakers and sessions
Key speakers include leaders from major tech and retail organizations. Notable listed speakers cover a range of roles such as Heads of Analytics, ML researchers, and product leaders. Examples of speakers include Alena Soldatenko (Head of analytics at BIGDATA MTs Digital), Andrey Nartsev (Head of R&D, Yandex Delivery), Maria Tikhonova (Head of ML/LLM in SBERR), Nikolai Savushkin (Head of Recommendation Technologies at Yandex), Dasha Ledneva (Head of Speed Group), and other ML and product analytics professionals. The program includes talks on ML adoption in pricing, evaluation of modern LLMs and multimodal models, the future of recommender systems, and practical lessons from corporate analytics.

### Format and audience
The event targets analytics professionals, ML/DS engineers, product managers and senior leaders who want to learn practical techniques for building AI-powered products, running experiments and improving efficiency. The program emphasizes knowledge sharing, real-world case studies and networking opportunities, with timed sessions and a mix of presentations, debates and round tables.

### FAQs
The page provides program details, ticket options and contact avenues for sponsorships and partnerships. It also notes licensing, consent for photography and video, and standard conference policies. Attendees can expect a blend of in-person and online experiences, with a focus on actionable insights and community building for ML and analytics professionals.

### Who should attend
Analysts, data scientists, ML engineers, product managers, and CPOs who are shaping data-driven digital services will find value in the conference tracks and case studies. The event is designed for those who want to stay current with ML trends, learn practical implementation strategies, and network with peers across industries.


Technical conference on AI, ML and data analytics

### Overview
This course titled Course: AI Reliability Engineering 2.0 offers an immersive, hands-on path from Kubernetes controllers to advanced AI reliability practices. Framed as the third era of DevOps and SRE, the program blends modern DevOps concepts with practical AI infrastructure management to help participants reliably build, scale, and automate AI systems. The training is delivered online via Zoom, with all lectures, materials, and recordings accessible on the learning platform. Language for participants is Ukrainian, with presentation materials in Ukrainian and English, and the program emphasizes practical work over theory.

### What it is for
This program is designed for developers, QA engineers, system administrators, and IT professionals who want to apply Kubernetes and SRE principles to AI workloads. It is especially suited for those who aim to leverage GitOps style patterns, agentic AI, and AI observability within Kubernetes clusters. Attendees should expect to engage in collaborative work, hardware and software exercises, and real-world scenarios that closely resemble production environments.

### Format and schedule
Duration is three weeks of online classes held on Mondays, Wednesdays, and Fridays. Classes start on May 4th and run through May 22nd, 2026. The platform is Zoom, with broadcasts, lecture recordings, and course materials available on the learning platform. Participants will work in teams and pairs to mirror real project collaboration. The event is described as online and offline in a project-like format, with practical tasks and infrastructure challenges that require configuration, automation, and problem solving in a production-like setting. The course language is Ukrainian for the event, with presentation language in Ukrainian and English.

### Curriculum and agenda
The course covers a comprehensive stack of topics including practical Kubernetes, GitOps vs Gitless Ops, and Agentic AI patterns. A notable module is Building a Real Agentic AI Project from Scratch, which outlines the SDLC, infrastructure, network, security, and frameworks involved in deploying agents and observing their behavior. The Stack section outlines MCP/Agents Serving Challenges, AI SDLC flows using tools such as kmcp and Arize Phoenix, and security and compliance practices for prompts and MCP authentication. The Plan module introduces hands-on activities like configuring containers and Kubernetes clusters, Git/GitLess Ops practices, and building AI agents within Kubernetes using MCP/A2A. The curriculum emphasizes AI observability, monitoring, and evaluation through observability tools and real-time tracing.

### Outcomes and speakers
Mentor Denys Vasyliev, a Principal Site Reliability Engineer with 17+ years in the industry and a Kubernetes Certified Administrator, leads the program. He is an active speaker on major DevOps and SRE platforms and is the author of Kubernetes DIY courses and related content. Course outcomes include practical Kubernetes skills, a deep understanding of modern DevOps/SRE processes, and experience implementing AI agents in a cluster. The program aims to equip attendees with hands-on capabilities to design, deploy, observe, and maintain AI-enhanced systems in production settings.

### FAQ and additional information
The event explicitly notes that tickets are sold out while inviting interested participants to join a waiting list for future iterations. It highlights the requirement for basic Linux knowledge and programming basics to perform practical tasks. Group discounts are available for companies, and there is guidance to contact the academy team for calculating discounts. Although the page emphasizes online delivery, it presents a realistic, project-oriented experience intended to resemble real-world production work.

### Who should attend
Developers, QA engineers, system administrators, DevOps/SRE practitioners, and anyone looking to leverage Kubernetes for AI projects and to adopt reliable AI infrastructure practices. The course is designed for those who want to integrate AI agents in a Kubernetes environment and gain hands-on experience with modern AI reliability workflows.


Course: AI Reliability Engineering 2.0

### Overview
Prompt to Product hosts an online AI skills week aimed at designers and product makers who want practical, real world skills without the hype. The event runs in the week of 18 May 2026 and features a mix of live speaker talks, hands on trainings, and interactive sessions. It is presented as part of PUSH, a series of authentic events for design and product communities in Europe since 2012. The program emphasizes usable AI techniques, transparency, and practical workflows that attendees can apply in their day to day work.

### Agenda
The program centers on three main tracks: a keynote conference, multiple trainings, and expert sessions. The Conference on Monday 18 May offers a curated four hour program with speakers who share experiences on AI tools, design systems, and responsibility in AI powered products. The Trainings span Mon 18 May to Fri 22 May and provide hands on, live online instruction. These cover topics like AI for design and product teams, design patterns for AI interfaces, and AI powered prototyping for designers and product managers. Each training emphasizes practical skills and immediate applicability, with live instruction, Q and A, and opportunities to practice during the sessions. A fourth track highlights specific AI patterns and patterns for building trust and practical AI integration in complex products. The overall schedule promises live interaction rather than pre recorded content, with certificates of completion for attendees and recordings available after the event.

### Speakers
The conference features a set of notable speakers including Vitaly Friedman (founder of Smashing Magazine, UX consultant) presenting topics such as Designing For Trust In AI Products; Anna Arteeva (Design Leader and AI Educator) presenting Design Systems for the Vibe Coding Era; Matt Franks (Google AI) presenting From Operator to Orchestrator: Designing Agentic Systems; Reem Alwahabi (DeepL) presenting Stop Protecting Design; Aswin Ranganathan (Delivery Hero) presenting Skills Files: Super-Powers for Your Personal AI Agent Team; and Deniz Kartepe & Michael Schade (Miro) presenting Signal to Software: How Two Researchers Used AI to Build A Product. Additional sessions cover the broader themes of trust, usability, and efficiency in AI design and development.

### Format and What to Expect
All sessions are live and interactive with Q A, discussions, and hands on exercises. Attendees can expect a mix of lectures, practitioner led talks, and practical labs. Upon completion, participants receive a certificate of completion and have access to session recordings. Materials and checklists are provided for immediate application. The event emphasizes human centered AI and aims to help teams adopt AI in a structured and responsible way.

### Who Should Attend
The event targets designers and product makers who want to become AI powered without hype. It is suitable for ICs and managers seeking hands on AI skills, practical patterns for AI interfaces, and workflows to integrate AI into product design and prototyping workflows. Attendees can expect to learn from a small number of expert practitioners and to leave with concrete techniques, templates, and a roadmap for applying AI in their teams.

### FAQs and Logistics
The event is online with live, interactive sessions. There are multiple ticket types, including conference tickets, training tickets, and combo options. Recordings are available for purchased tickets, and there are group discounts for 3 or more tickets. Attendees receive a certificate on completion and official invoices for purchases. All content aligns with the event's stated terms and privacy policies.

Prompt to Product: AI skills week

### Overview
AgentCamp Auckland 2026 is a Global AI community driven event focusing on Agentic AI and enterprise AI solutions. The event is hosted by the Auckland Artificial Intelligence Meetup group and brings together AI professionals, developers, architects, researchers, and technology leaders who are interested in practical AI deployments within real-world enterprise contexts. The gathering emphasizes collaboration, knowledge sharing, and hands-on learning, with a strong emphasis on Microsoft technologies and cloud AI platforms.

### Agenda
This online event features a mix of presentations, expert-led sessions, and networking opportunities. The program is designed to explore practical implementations, architecture patterns, and real world AI deployments using Microsoft technologies. The agenda includes an industry keynote, expert AI sessions, and dedicated time for community networking. Attendees can expect sessions that cover AI architectures, agent based systems, and enterprise scale AI deployments, with emphasis on Microsoft Azure and related tools.

### Speakers and Hosts
The event is hosted by the Auckland Artificial Intelligence Meetup and features notable speakers including David Horrocks, Indira Bandari, and Reza Rad. The host team brings together a diverse range of AI experience, from research and development to practical deployment in enterprise settings. Microsoft is a sponsor, highlighting the alignment with Azure AI and related Microsoft AI offerings.

### format and Access
AgentCamp Auckland is an online event with opportunities to connect with peers and mentors in the AI field. The event uses a virtual venue to allow attendees from different locations to participate. Registration details, schedule, and access links are provided to attendees through the Meetup page.

### Who should attend
This event is aimed at AI professionals, developers, architects, researchers, and technology leaders who want to deepen their understanding of agent based AI, enterprise AI solutions, and how Microsoft Azure AI platforms can be leveraged in real-world deployments. It is suitable for those looking for practical guidance on architecture patterns, deployments, and case studies in the AI domain.

### Sponsors
Microsoft is a key sponsor, reflecting the focus on Microsoft AI technologies and Azure based solutions. Sponsors contribute to the program and provide insights into best practices for AI in the enterprise.

### FAQ
The event is described as online with a virtual access model, designed to facilitate networking and hands-on learning. Specific session times, speaker lineups, and access instructions are typically shared closer to the event date on the Meetup page.

AgentCamp Auckland

Artificial Intelligence (AI) conference in London, United Kingdom and Online

AI Native DevCon

Conf42: Database DevOps 2026

Artificial Intelligence (AI) conference in San Diego, United States and Online

MLcon San Diego 2026

### Overview
This event is the AI and Copilot Summit 2026 presented in a virtual format. It offers participants the opportunity to attend the summit without travel costs, making it accessible regardless of location. The gathering is designed to bring together enthusiasts, professionals, and practitioners interested in AI, copilots, and related technologies. The summit is hosted by Summit 365 GmbH and features collaborations with multiple partners and sponsors, including CloudPandas, Studio 365 GmbH, Solutions2Share, Summit 365 GmbH, Digital Touch GmbH, DatenPioniere GmbH, IT-Schulung.com, GermanTechJobs, and Power Manufaktur GmbH.

### Target Audience
The event is suitable for developers, data scientists, AI researchers, product managers, and tech enthusiasts who want to explore AI copilots, practical implementations, and the latest trends in AI assistance and automation.

### Format and Accessibility
The summit is conducted online, with free access options available via a COMMUNITY TICKET. Attendees can participate remotely, avoiding travel expenses while still engaging with sessions, demonstrations, and discussions.

### Agenda and Format Details
The content highlights several sessions and tracks focused on AI copilots, automation, and related AI tooling. The event emphasizes a virtual program that enables global participation. While specific session times and tracks are not enumerated in the page text, the event includes a host and speakers who will present on topics around AI copilots and their practical applications. The platform indicates online event attendance and comprehensive agenda content will be delivered digitally.

### Speakers
Christian Groß is listed as a speaker and serves as the M365 Summit Host. His session offerings are expected to cover topics around AI copilots, productivity enhancements, and related technologies. Additional speaker details are not provided on the page, but the event is positioned as a platform for knowledge sharing among experts and practitioners in the AI and Copilot domains.

### Sponsors and Partners
A diverse group of organizations backs the summit, including CloudPandas, Studio 365 GmbH, Solutions2Share, Summit 365 GmbH, Digital Touch GmbH, DatenPioniere GmbH, IT-Schulung.com, GermanTechJobs, and Power Manufaktur GmbH. These sponsors contribute to the event by providing expertise, resources, and opportunities for attendees to engage with the AI ecosystem.

### FAQ and Practical Information
The event page communicates that attendance is free of charge for a virtual format, enabling cost-effective participation. The simulated environment is designed to facilitate access for a wide audience, including people who cannot travel to an in-person conference. For attendees seeking a virtual experience, the summit provides an online platform with a flexible schedule and sponsor-funded content.

### Who Should Attend
This summit is ideal for professionals and enthusiasts who want to learn about AI copilots, practical AI implementations, and the latest industry developments. It is also a suitable entry point for individuals interested in exploring virtual conference formats and networking opportunities within the AI community.

### Additional Notes
The event is organized under the umbrella of Summit 365 GmbH, with a focus on providing accessible, online educational content in German, while the content is presented here in English for broader accessibility.

AI & Copilot Summit 09-10 June 2026

### Overview
AI Con USA 2026 is a premier conference focused on Artificial Intelligence and Machine Learning, taking place in Seattle from June 7 to June 12, 2026, with a streaming option available for online attendees. The event is designed for technology leaders, researchers, and practitioners who want to explore real world AI practice, RAG, AI strategy, and agentic AI concepts. The format combines in person sessions at the Hyatt Regency Seattle with a robust virtual experience to reach a global audience.

### Agenda and Tracks
The program features a comprehensive mix of keynote addresses, tutorials, training classes, concurrent sessions, and expo engagements. The keynote lineup covers themes such as architecting multi agent enterprise work flows, the ROI of enterprise AI, and leadership in agentic engineering. Attendees can expect sessions on large language models, MLOps, AIOps, prompt engineering, and practical AI deployment across industries. In addition to main conference talks, there are pre conference trainings and tutorials designed to dive deeper into specific topics and practical techniques.

### Schedule and Sessions
The conference schedule includes a dedicated conference schedule page with detailed timings for keynotes, tutorials, and concurrent sessions. Topics span diverse areas like Generative AI, Big Data analytics, prompt engineering, and the human factors of AI adoption. Participants can engage in interactive workshops, panel discussions, and hands on demonstrations that reveal how AI technologies are transforming different sectors. Track descriptions emphasize the practical application of AI in healthcare, finance, automotive, and other domains, along with governance, privacy, and ethical considerations.

### Speakers
AI Con USA brings together a diverse group of speakers from leading technology organizations. Notable speakers include Dona Sarkar (Microsoft), Marshall Belcher (Google), David Colwell (Tricentis), Ken Johnston (Envorso), and Rebecca Norlander (Verific). Additional panels feature experts such as Ravi Vedula (Microsoft), Kat Styons (Yahoo), Jessie Thomas (Allen Institute), and Brittany Wilson (Nelnet). These speakers contribute insights on real world AI, enterprise AI ROI, transformation strategies, and the creation of agentic engineering teams.

### Format and Audience
The event is designed for both in person attendees and online participants, providing opportunities for knowledge exchange, hands on learning, and meaningful networking. Sessions are structured to deliver actionable takeaways that attendees can apply within their organizations to advance AI initiatives. The expo component presents demonstrations from innovative companies offering AI tools and platforms. A variety of tracks and sessions cater to software developers, data scientists, IT leaders, and researchers seeking practical guidance and strategic perspective.

### FAQs
- Who should attend: technology leaders, researchers, developers, and professionals interested in AI and ML applications. 
- What is the format: a mix of in person and streaming online sessions from Seattle with access to keynotes, tutorials, and expo booths. 
- Where is it held: Hyatt Regency Seattle, Seattle, WA, USA, with online streaming options.


AI Con USA 2026

Full-stack conference in Amsterdam, Netherlands and Online

Web Engineering Summit

Conf42: Large Language Models (LLMs) 2026

### Overview
VivaTech 2026 is the world’s premier venue for startups, tech leaders, and innovators to connect, showcase, and accelerate the next wave of digital transformation. Taking place in Paris, the event brings together a global community of entrepreneurs, investors, partners, media, and corporate leaders for multiple days of inspiration, demonstrations, and business development. The 2026 edition emphasizes celebrations of a decade of VivaTech while highlighting the future of technology across multiple tracks and experiences. Attendees should expect an immersive program that blends keynote presentations, parallel sessions, startup showcases, partner activities, and hands-on workshops across curated tracks.

### Dates and Location
This edition is scheduled for June 17 to June 20, 2026, in Paris at Paris Expo Porte de Versailles, France. The venue provides ample space for large exhibitions, conference rooms, and breakout areas to facilitate networking and collaboration.

### Who Should Attend
VivaTech appeals to startup founders, corporate executives, investors, developers, researchers, journalists, and technology enthusiasts who want to engage with cutting-edge products, strategic partnerships, and investment opportunities. The event is designed for a global audience seeking actionable insights, collaboration opportunities, and high-profile exposure within the tech ecosystem.

### Format and Experience
The event combines a broad program of sessions, demonstrations, and interactive exhibits. The program features a dedicated conference track for startups to pitch, partners to showcase innovations, and investors exploring new opportunities. Expect a mixture of keynote talks, panel discussions, product showcases, and speed-meetings that facilitate direct interactions between early-stage ventures and established players. The experience is enhanced by curated experiences on iconic city locations, such as VivaTech in the City on the Champs-Élysées, which showcases a more compact, themed representation of the event in a historic setting.

### Agenda and Tracks
- Attendees: Networking opportunities to connect with tech leaders, entrepreneurs, and decision makers.
- Startups: Access to funding discussions, mentorship, and opportunities to showcase products to potential customers and partners.
- Exhibitors and Partners: Corporate showcases that highlight innovations from global brands and technology providers.
- Investors: Sessions and meetings designed to connect with promising startups and early-stage companies.
- Media: Exclusive access to stories, interviews, and top speakers covering the latest tech trends.
- Themed sessions and tours: The event includes theme-based tracks and guided experiences that help attendees navigate the program efficiently.

### Speakers and Programs
VivaTech typically features CEOs, C-level leaders, VCs, and notable founders from a wide range of technology domains. While the specific speaker lineup for 2026 is not listed on this page, the event is historically a hub for high-profile leadership, expert insights, and breakthrough innovations.

### FAQs and Practical Information
Participants should verify travel, accommodation, and visa requirements as well as registration details via the official site. While this page emphasizes the in-person event experience in Paris, VivaTech also maintains a broader ecosystem of content and partner programs that extend beyond a single venue.

### How to Attend
Registration options commonly include passes for different attendee categories, such as grand public and professional tracks. For those seeking to participate in specific programs or access particular sessions, checking the official site for pass types and availability is recommended.

### FAQs
If you need more information, the event typically provides a dedicated FAQ, contact channels, and a way to request accreditation or schedule meetings with potential partners and investors. Attendees are encouraged to explore the full agenda and speaker lineup through the official VivaTech channels for the most up-to-date schedule as the event approaches.

VivaTech 2026

Artificial Intelligence (AI) conference in St. Petersburg, Russia and Online

Conversations 2026

Asynconf

Machine Learning (ML) conference in Munich, Germany and Online

Machine Learning Conference 2025 - Hybrid Edition

### Overview
ConfQ - 2026 (Virtual) is a premier international conference for QA leaders, automation experts, and quality engineers who are shaping the next era of software quality. The event is hosted as a virtual live conference on 3 and 4 July 2026, with sessions scheduled to accommodate multiple time zones including IST and CET. The format emphasizes thought leadership, practical wisdom, and actionable insights for modern quality assurance in an AI-influenced world. The program brings together experienced practitioners from industry, including engineers, managers, and researchers who are interested in responsible and context-driven quality practices rather than sales pitches or tool demos.

### Agenda
Day 1 — Friday, July 3, 2026 (IST/cross-timezone format)
- Welcome Note and Opening Remarks
- The New Tester in the Age of AI by Manoj Kumar P S (VP - Technology, Moolya, India)
- Building a QA Strategy That Scales by Sivaprasad Pillai (Director, The QE Hub, UK)
- AI Can Generate Tests, Not Trust by Manish Saini (Senior Lead Developer Advocate, BrowserStack, India)
- Beyond Script by Kailash Pathak (Senior QA Leader, 3Pillar Global, India)

Day 2 — Saturday, July 4, 2026 (IST/cross-timezone format)
- Shift Left, Scale Right by Vishnu Mani (Senior Engineering Manager, HealthEdge, India)
- From Dogma to Dialogue by Brijesh Deb (Principal Consultant, Infosys, Netherlands)
- The Mirror in the Machine by Jenna Charlton (Developer Advocate, BrowserStack, US)
- Lightning Talks by Deepak Karn and Milijana Gunjevic (Leads and engineers from multiple organizations)
- Closing Remarks by the Event Host

The agenda features a mix of strategic talks, practical case studies, and interactive sessions designed to provoke thoughtful discussion about future-proof testing practices in AI-enabled development environments.

### Speakers
ConfQ 2026 showcases a diverse lineup of experienced QA and testing leaders from global tech organizations. The speaker roster includes Manoj Kumar P S, Sivaprasad Pillai, Manish Saini, Kailash Pathak, Vishnu Mani, Brijesh Deb, Jenna Charlton, Deepak Karn, Milijana Gunjevic, and others. Each speaker brings deep industry expertise in areas such as automation, AI-driven testing, QA strategy, testing leadership, and ethical quality engineering. The page highlights LinkedIn profiles and professional backgrounds for many speakers, illustrating a broad range of regional and organizational perspectives.

### Format
The event is delivered as a virtual conference with live talks, Q&A, and networking opportunities. Attendees can access live sessions, participate in interactive forums, and receive post-event recordings and resource bundles. The program emphasizes practical insights, governance, and context-driven quality practices rather than sales or vendor demos. The platform provides options for watching sessions across time zones and obtaining digital certificates and badges of participation.

### Who should attend
This conference targets QA leaders, automation experts, software testers, engineers, and quality advocates who want to deepen their understanding of quality engineering in an AI-influenced landscape. The program is pitched to high-impact attendees who value thoughtful, evidence-based discussions over marketing pitches.

### FAQs
The agenda and speaker lineup are subject to change based on availability. Attendees should expect a value-packed program with limited fluff, focused on actionable learnings and peer exchange. The event encourages practical takeaways for improving testing practices in real-world, large-scale environments.


ConfQ - 2026 (Virtual)

### Overview
The AI Coding Summit London is a hybrid event combining in-person talks and online participation, focused on the impact of artificial intelligence on software development. The event brings together developers, engineers, and leaders to explore how AI can transform coding workflows, testing, agentic development, and AI-assisted tooling. Held July 6–7, 2026, the summit combines talks, hands-on workshops, and interactive sessions that cover agentic programming, AI coding workflows, tool design for large language models, and practical engineering patterns for integrating AI into real-world projects. The London in-person edition is complemented by virtual access for global attendees, making it accessible to a broad audience of developers aiming to stay ahead in AI-driven software engineering.

### Agenda
The program is built around keynotes, technical talks, and hands-on workshops. Agenda highlights include sessions on agent design for LLMs, agentic workflows, and AI aided code review. Workshops feature live, practical experiments with tools like Claude Code, MCP (Model Context Protocol), and agent skills. Tracks include AI agents, AI coding workflow, and agent design patterns, with demonstrations of best practices for building reliable AI-powered development pipelines. Times are presented in local time zones for attendees in London and online participants. The program also emphasizes networking, vendor showcases, and sponsor-driven demonstrations.

### Speakers
The summit features a roster of recognized speakers spanning industry and academia. Notable participants include Kent C. Dodds (Epic React), Minko Gechev (Google), Daniel Ávila (Hedgineer), Daniel Sogl (Thinktecture AG), Jodan Alberts (advance.io), Carly Richmond (Elastic), and many others from leading tech companies. The lineup highlights a mix of talks and workshops focusing on AI coding workflows, agent design, and practical AI tooling for developers. Several speakers bring expertise in AI agents, MCP tooling, and large language model integrations for software engineering. A detailed speaker list and session mappings are available on the event site.

### Format
The event blends in-person talks in London with online access, enabling global participation. The format includes keynote talks, technical sessions, and hands-on workshops that explore practical patterns for AI-powered software development. Attendees can engage with speakers during Q&A, participate in live demonstrations, and join breakout workshops that cover agent skills, MCP tooling, and AI assisted coding workflows. The event emphasizes practical takeaways, including how to design reliable agentic workflows, how to use MCP tooling effectively, and how to implement AI-driven development patterns within real-world projects.

### Location
The in-person venue is The Trampery Old Street, 239 Old St, London EC1V 9EY, United Kingdom. London serves as an inspiring tech hub for AI and software development, offering a vibrant backdrop for workshops and networking sessions. The event also offers an online track to ensure remote attendees can participate in live talks and interactive sessions. The combination of London ambiance and online access aims to maximize opportunities for collaboration, learning, and community building among developers exploring AI driven development.

### FAQ
- What is the format of the summit? A mix of in-person talks, hands-on workshops, and online sessions.
- Who should attend? Developers, engineers, team leads, and AI practitioners interested in AI powered software development.
- Where is the venue? The Trampery Old Street, 239 Old St, London EC1V 9EY, with online access for remote attendees.
- Are tickets available remotely? Yes, there is an online ticket option and in-person passes; check the tickets section for pricing and details.
- Will there be recordings? Recordings and post-event materials are typically provided to attendees, including workshop content and talks.

### Who should attend
The summit is designed for software developers who want to understand and apply AI in their daily work, AI researchers exploring practical deployment, engineering managers looking to adopt AI-powered workflows, and teams seeking to learn from industry leaders and practitioners about building reliable AI-enabled software systems.

### Notes
This description synthesizes information visible on the event page, including dates, London as the host city with online access, venue details, and the general scope of talks and workshops. No information outside of the page has been added.

AI Coding Summit London

### Overview
The Product Owner AI Day 2026 is an online conference focused on how Product Owners and related roles can automate workflows and integrate AI into their day-to-day product work. The event is designed for Product Owners, Product Managers, Product Leads, Heads of Product, and Innovation Managers who want practical, actionable guidance on applying AI to real-world product development. The program combines talks, case studies, and interactive sessions that explore AI-assisted product discovery, prototyping, collaboration, and decision making. The content emphasizes concrete tools, methods, and patterns that can be adopted in typical product environments, with a focus on collaboration between product and development teams and on leveraging AI in everyday workflows.

### Agenda
Online conference on a full day schedule with back-to-back sessions.
- Begrüßung (Welcome) and opening remarks to set the theme of AI enabled product work.
- Discovery and prototyping with AI: sessions that show how AI agents can support user research, idea validation, and rapid prototyping.
- AI in product engineering: exploring the collaboration between Product Owners and developers to integrate AI capabilities into existing backlogs and roadmaps.
- Spec driven development and prompt architecture: speakers discuss how product ownership and prompts can shape AI-enabled software delivery.
- Case studies from practitioners: real-world examples from product teams implementing AI, including lessons learned and best practices.
- Abschlussdiskussion (closing panel): reflection on the day’s learnings and a look ahead to practical next steps.

### Sessions and Tracks
The program features a lineup of speakers and sessions that cover topics such as AI automation in daily PO work, translating AI opportunities into backlog items, and evaluating AI-powered solutions in product strategy. Sessions are presented with a focus on practical takeaways, with time allocated for Q&A and interactive discussion. A detailed program outline is available in the event’s program documentation and as a downloadable PDF.

### Speakers
The event features multiple practitioners and thought leaders including Julia Bastian (Alasco), Markus Andrezak (überproduct), Ralf D. Müller (DB Systel), Miriam Suchet (Suchet Consulting), Gregor Biswanger (Generative AI Berater & Trainer), and Marc Bless (BlessAI). These speakers bring hands-on experience in product ownership and AI-enabled product development, sharing insights on AI adoption, governance, and the evolving role of the Product Owner in AI-driven projects.

### Format and What to Expect
This is an online conference designed for a remote audience. Attendees can expect a mix of keynote-like sessions, short talks, and interactive segments. The schedule emphasizes practical guidance, demos, and case studies that attendees can port to their own teams. Recorded sessions and presentation materials are provided after the event for ongoing learning. The day is suitable for product professionals who are already familiar with AI concepts and want concrete strategies to integrate AI into their workflows and decision making.

### Who Should Attend
Product Owners, Product Managers, Product Leads, Heads of Product, and Innovation Managers who want to learn how to automate routines with AI, simplify workflows, and make better product decisions through AI-enabled tooling and processes. The event aims to deliver actionable knowledge that attendees can apply to current and upcoming product initiatives.

### FAQs
For more details on access, registration, and technical requirements, refer to the event’s official pages and the downloadable program guide. Attendees can expect session recordings and slides post-event to reinforce learning and facilitate implementation within their teams.

Online AI Conferences 2026

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