Design Evenings TO: How AI is Redefining Apparel eCommerce | BrainStation

⌖ Singapore · Singapore

Hosted by Aanya Mathur

Autonomous SG 2026 is a six-hour AI buildathon for 300+ builders in Singapore, taking place on Saturday, 31 October 2026. Supported by Anthropic, the event challenges participants to build and ship a production-grade AI prototype within six hours. Problem statements will only be revealed on the day, so teams should arrive ready to build rather than prepare a solution in advance. The top five teams will pitch their work live on stage. Who can take part? The buildathon is open to undergraduates, master’s and PhD students, researchers, engineers and working professionals. You can participate solo or in a team of up to four. One person should register for the whole team and request the corresponding number of tickets. Each participant receives: - $50 in Claude API credits - Lunch - Event swag - Access to a community of more than 300 builders Create a free Claude Console account before the event. Credits apply to the Console organisation and are not Claude.ai Pro or Max subscriptions. The event runs 9:00am–6:00pm GMT+8. The exact Singapore venue is shared after registration. Host approval is required, so requesting a place does not guarantee admission. Questions can be directed to Aanya Mathur on LinkedIn. Request to join Autonomous SG 2026

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Sponsors: Anthropic

⌖ New York

Hosted by AI Accelerator Institute

Generative AI Summit brings 500+ engineers and executives to New York on 3 June 2027 to build and scale production-ready AI systems. Designed for people actively building and shipping AI,not simply watching the market,the summit aims to replace months of trial and error with practical insight into what works in production. Organised by AI Accelerator Institute as part of AIAI New York, it focuses on the technical, operational and leadership challenges involved in bringing applied AI products to market. What to expect The programme centres on focused discussions rather than a vast expo hall or marketing-led presentations. Attendees can expect conversations spanning: - Foundational models, LLMs and autonomous systems delivering measurable performance at scale - Generative AI infrastructure, model operations and production tooling - Agent architectures, orchestration and real-world agentic applications - Inference, evaluation and continuous fine-tuning - Live architecture benchmarks and approaches to scaling - Enterprise AI strategy, information security and risk The event is built around learning from peers who are already confronting deployment and scaling challenges. Alongside the content, networking provides opportunities to meet potential partners, innovators and fellow practitioners working on industry-ready AI. Who should attend? This summit is particularly relevant to AI and machine-learning engineers, software engineers, technical architects, model operations and infrastructure teams, product builders, AI leaders and senior executives responsible for enterprise adoption. The material is geared towards practitioners and decision-makers with an active interest in building, deploying or scaling AI systems, rather than a general introductory audience. AIAI New York also brings together co-located summit content covering generative AI, agentic AI and executive AI leadership, with multi-track access promoted by the organiser. This creates a useful meeting point between hands-on builders and the leaders setting strategy, governance and risk priorities.… Register for this event

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⌖ Toronto · Hyatt Regency Toronto

Hosted by TESTINGMIND

AI Engineering Summit Toronto 2026 brings 150+ practitioners together for a full day on building, deploying and scaling production AI systems. Taking place on Thursday 29 October 2026, from 9am to 5pm, this in-person summit at the Hyatt Regency Toronto is designed for people turning AI concepts into dependable software. Expect real implementation stories, practical engineering patterns and candid discussion of what it takes to move from code to production, without vendor pitches. What the summit covers The programme is single-track and practitioner-led, with sessions spanning six core themes: - Agentic development: multi-agent systems, tool calling and long-horizon autonomous workflows - AI to production: LLMOps, evaluations, cost and latency management, deployment, monitoring and operating at scale - Responsible AI: red teaming, evaluation frameworks, safety, compliance and governance - AI architecture: RAG patterns, LLM gateways, inference and AI-native system design - AI-first leadership: integrating AI into the software development lifecycle, designing teams and hiring around AI - AI data infrastructure: vector databases, embeddings and the pipelines behind intelligent systems The summit also looks ahead to emerging production standards, including agentic systems and MCP. Rather than focusing only on models or demos, it addresses the architecture, operational discipline and organisational decisions needed to make AI useful, scalable and trustworthy. Who should attend? This is a production-focused event for developers shipping AI-powered products, engineers building intelligent systems, architects responsible for scale and reliability, and technical leaders shaping organisational AI adoption. It is also relevant to compliance and governance professionals working to ensure AI systems are safe and accountable. The content is particularly suited to attendees already involved in building, operating or overseeing AI initiatives. Participants should leave with tools, patterns and informed questions they can bring back to their teams. A conference built for useful conversations… Register for this event

⌖ Toronto · Toronto, ON

Hosted by Data Engineer Things Toronto Meetup

Explore AI, scale and hard-won data engineering lessons at Shopify’s Toronto office on 29 October 2026. Running 5–8pm EDT, this in-person Data Engineer Things meetup combines technical talks with professional networking. Speakers will examine the decisions, trade-offs, mistakes and challenges involved in building modern data and AI systems, particularly where data engineering, software engineering and machine learning intersect. Talks and speakers - Derek Pyne, Staff Data Engineer at Shopify, using River to build data loops that improve models - Jill Cates, Staff Data Engineer at Shopify, whether an AI agent can identify data warehouse technical debt and verify fixes using health metrics - Mitchell Posluns and Pranavan Pirahalathan of Wealthsimple, how AI turned engineering discipline into critical infrastructure - Adeniyi Bello, Data Architect at Assent, building a zero-ETL, Go-engineered warehouse The event is designed for data, software, ML/AI, analytics and platform engineers, as well as architects and engineering leaders. Shopify is the lead sponsor, with Astronomer supporting. Registration requires host approval and closes at 11:30pm EDT on 23 October. The exact Shopify Toronto office address is shared with registered attendees. Request approval to attend

Sponsors: Shopify · Astronomer

⌖ 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.

⌖ Toronto · EY Tower

Hosted by The Pathfinders Network

Toronto Tech Summit 2026 brings enterprise leaders to EY Tower in Toronto on 11 November 2026 to tackle security, privacy and AI governance at scale. Engineering trust in production AI Organised by The Pathfinders Network, this one-day forum focuses on the challenge facing organisations as AI moves beyond successful pilots: how to deploy it securely, responsibly and accountably across real enterprise environments. Sessions will connect engineering decisions with cybersecurity, privacy, risk, governance and leadership priorities, grounded in Canada’s regulatory landscape and market realities. The programme combines keynotes, panel discussions and a fireside conversation covering: - Engineering trust at scale - The shadow AI crisis and governing tools organisations cannot see - AI augmentation versus workforce displacement - Cyber resilience amid AI-powered attacks - Prompt injection, poisoned pipelines and AI workflow integrity - Accountability when agentic AI takes action - Turning AI risk into business advantage The day begins with registration at 08:30, with summit sessions running from 09:00. Closing remarks are followed by a networking reception from 17:00 to 19:00. Attendees can earn up to eight hours of Continuing Professional Education credits. Speakers and the Advisory Council are still to be announced. Who should attend? Toronto Tech Summit is designed for the people responsible for building, securing and governing enterprise AI: engineers, security and privacy leaders, risk professionals and executives. It will be particularly relevant to teams moving AI systems into production, setting operational controls or balancing innovation with governance and accountability. TTS Open: prototypes, not pitch decks A distinctive part of the summit is TTS Open, a pre-event, 72-hour build competition. Multidisciplinary teams of two to four people create working MVPs with no-code, low-code or generative AI, supported by dedicated mentors. Entrants choose between two enterprise challenges: 1. Agentic AI containment, defining, enforcing and monitoring an agent’s operational boundaries, including human sign-off and automatic halt conditions. 2. The shadow AI governance gap, creating an enterprise-ready framework for visibility, enforcement and model governance without adding counterproductive friction. Attendance details The organiser’s current date is Wednesday 11 November 2026, with registration from 08:30 local time at 100 Adelaide Street West, Toronto. Check the official programme for the finishing time. View the event and registration details

Sponsors: ISC2 Toronto