Global AI & Emerging Technologies Conference 2026

Welcome to the Global AI & Emerging Technologies Conference! Join us at Toronto Metropolitan University, Hall B92 for a day filled with cutting-edge discussions and insights on artificial intelligence and emerging technologies. Whether you're a tech enthusiast, a developer, or a business professional, this event is perfect for anyone looking to stay ahead in the rapidly evolving world of technology. Our lineup of expert speakers will cover a wide range of topics, from machine learning and robotics to blockchain and IoT. Get ready to network with like-minded individuals, explore the latest tech trends, and gain valuable knowledge to drive innovation in your field. Don't miss out on this opportunity to be part of the conversation shaping the future of AI and emerging technologies. Reserve your spot today! INVITATION LETTER is provided upon registration for the event Contact: info@globaltechzone.com Theme “Responsible Intelligence at Scale: From Research to Real-World Impact.”Focus on deploying AI and emerging tech (edge computing, robotics, quantum-adjacent methods, XR) that are safe, equitable, and commercially viable. Purposes (Outcomes-Driven) Knowledge Exchange: Latest applied AI breakthroughs and scalable architectures. Skills Building: Hands-on labs in MLOps, LLM alignment, RAG systems, and secure deployment. Partnerships: Matchmaking among startups, enterprises, universities, and investors. Policy & Trust: Practical governance toolkits for privacy, bias mitigation, and safety. Commercialization: Live accelerator-style pitch reviews and procurement roundtables. Target Audience CTOs, CIOs, Heads of AI/DS, product leaders ML engineers, data scientists, platform & DevOps teams Health, finance, manufacturing, gov/public sector innovation leads Researchers, PhD candidates, postdocs Investors, accelerators, corporate venture units Policy makers, standards bodies, legal & compliance professionals Why This Is a Must-Attend Single-day, high-density program with hands-on labs and exec roundtables. Cross-sector case studies (health, finance, climate, smart cities). Practical governance—templates and checklists you can use the next day. Direct access to partners (universities, labs, incubators, integrators). Certification options to validate new skills (see below). International Benefits of Attending Visa-supporting documentation (official invitation letters with agenda & role). Global standards alignment (ISO/IEC AI mgmt references, model cards, data sheets). North American market access: investor office hours & partner matchmaking. Credentialed learning with Certificates of Completion and CPE/CPD hours. Strategic Partners & Contributors (Suggested) Academic: Toronto Metropolitan University (host), Vector Institute (AI), University+College labs Industry: Cloud providers, chip makers (CPU/GPU/accelerators), MLOps platforms, cybersecurity vendors Public/Standards: Municipal/Provincial innovation units, standards bodies, privacy commissioners Ecosystem: Startup accelerators, industry associations (health, finance, manufacturing) (Confirm and brand these based on actual agreements.) Practicalities Capacity: Hall B92 (theatre) + adjacent breakout rooms (2–3) for labsRoom Setup: Keynote room: theatre; stage with confidence monitor, dual projectors, 4 wireless mics + 2 handhelds Labs: classroom pods (5–6 per table), robust Wi-Fi, power strips, whiteboardsA/V & Tech: 4K projection, HDMI/USB-C hookups, clickers, recording (optional), hybrid streaming-readyWi-Fi: Dedicated SSID for presenters + separate attendee SSID; minimum 1 Gbps down / 200 Mbps upCatering: coffee/pastries morning, boxed lunch, two snack breaks, speaker green roomAccessibility: step-free access, reserved seating, CART/ASL on request, alt-text in slides templateSustainability: digital agenda, reusable signage, locally sourced catering, bottle-fill stationsSafety: on-site first aid, emergency contacts, clear evacuation routesRegistration Desk Hours: 07:45–17:30 Certifications Certificate in Responsible AI Implementation (Level 1) – 6 CPE/CPD hours Awarded upon attending the Governance Track + Lab 2 + completing a short assessment (online). MLOps Practitioner Micro-Credential – 6 CPE/CPD hours Awarded upon completing Lab 1 + Lab 3 + passing an applied quiz.(Digital badges issued within 7 business days.) Training & Workshops (Hands-On Labs) Prereqs for labs: Laptop with admin rights; Python 3.10+ and Docker installed; optional GPU access via provided cloud credits. Lab 1: Production LLMs & RAG Systems (2 hrs) Build a retrieval-augmented generation pipeline with vector search, evals, and guardrails. Takeaway: repo template + deployment checklist. Lab 2: Responsible AI & Governance Toolkit (1.5 hrs) Bias measurement, privacy risk triage, model card creation, incident response tabletop. Takeaway: governance templates + DPIA starter. Lab 3: MLOps & Cost Optimization (1.5 hrs) CI/CD for models, model registry, monitoring (drift, hallucination rates), autoscaling. Takeaway: reference pipeline + cost dashboard workbook. Exec Roundtable: AI Strategy & ROI (invite-only, 1 hr) KPIs, build vs. buy, roadmap patterns, vendor diligence. All times local (Toronto, EDT). 07:45–08:45 Registration, Coffee, Networking08:45–09:00 Welcome & Land Acknowledgment (TMU representative)09:00–09:35 Opening Keynote: Responsible Intelligence at Scale09:35–10:10 Keynote Fireside: AI Safety Meets Business Outcomes10:10–10:30 Networking Break 10:30–12:00 Parallel Tracks Track A (Technology): Vector Databases in Practice (30) Efficient Fine-Tuning (LoRA/QLoRA) (30) Edge AI & On-Device Models (30) Track B (Sectors): Healthcare AI with Privacy by Design (30) Finance: GenAI for Risk & Compliance (30) Manufacturing: Vision + Robotics (30) 12:00–13:00 Lunch & Poster Session (student/industry demos) 13:00–14:30 Labs Block 1 Lab 1 (RAG systems) – Room L1 Governance Mini-Workshop (policy leads) – Room G1 14:30–14:45 Coffee Break 14:45–16:15 Labs Block 2 Lab 2 (Responsible AI) – Room L2 Executive Roundtable – Boardroom 16:15–17:00 Case Study Lightning Talks (5 × 9 mins)17:00–17:45 Pitch Showcase: Startups & Research-to-Market17:45–18:00 Closing Remarks & Certificate Instructions18:15–19:30 Optional Networking Reception (near campus) Session Details (Sample Abstracts) Vector DBs in Practice: Patterns for hybrid search, chunking, evals, and latency SLAs. Efficient Fine-Tuning: Parameter-efficient strategies, safety guardrails, eval frameworks. Edge AI: Model compression, quantization, and privacy-respecting inference. Healthcare AI: De-identification, clinical LLMs, validation protocols. Finance GenAI: Audit trails, prompt logging, model risk governance. Vision & Robotics: Synthetic data, safety interlocks, and throughput gains. Partner & Sponsor Opportunities Tiers & Benefits (examples): Title Partner (1): Logo on stage, keynote slot, 20×20 demo space, 10 passes. Platinum (3): Track naming, panel seat, 10×20 booth, 6 passes. Gold (6): Workshop co-host, 10×10 booth, 4 passes. Startup/Ecosystem: Pod desk in startup alley, 2 passes.All tiers include lead retrieval, opt-in attendee contact list, and content syndication rights (per consent). Exhibits & Demos Startup Alley: curated 15 startups (health, fintech, robotics, tooling). Innovation Posters: students/industry R&D with QR-linked abstracts. Hands-On Pods: sandbox stations for live model testing. Matchmaking & Networking Pre-event interest survey → algorithmic session & meeting suggestions. Investor office hours (sign-up required). Sector tables at lunch (health/finance/manufacturing/public sector). Birds-of-a-Feather breakouts during coffee windows. Theme “Responsible Intelligence at Scale: From Research to Real-World Impact.”Focus on deploying AI and emerging tech (edge computing, robotics, quantum-adjacent methods, XR) that are safe, equitable, and commercially viable. Purposes (Outcomes-Driven) Knowledge Exchange: Latest applied AI breakthroughs and scalable architectures. Skills Building: Hands-on labs in MLOps, LLM alignment, RAG systems, and secure deployment. Partnerships: Matchmaking among startups, enterprises, universities, and investors. Policy & Trust: Practical governance toolkits for privacy, bias mitigation, and safety. Commercialization: Live accelerator-style pitch reviews and procurement roundtables. Target Audience CTOs, CIOs, Heads of AI/DS, product leaders ML engineers, data scientists, platform & DevOps teams Health, finance, manufacturing, gov/public sector innovation leads Researchers, PhD candidates, postdocs Investors, accelerators, corporate venture units Policy makers, standards bodies, legal & compliance professionals Why This Is a Must-Attend Single-day, high-density program with hands-on labs and exec roundtables. Cross-sector case studies (health, finance, climate, smart cities). Practical governance—templates and checklists you can use the next day. Direct access to partners (universities, labs, incubators, integrators). Certification options to validate new skills (see below). International Benefits of Attending Visa-supporting documentation (official invitation letters with agenda & role). Global standards alignment (ISO/IEC AI mgmt references, model cards, data sheets). North American market access: investor office hours & partner matchmaking. Credentialed learning with Certificates of Completion and CPE/CPD hours. Strategic Partners & Contributors (Suggested) Academic: Toronto Metropolitan University (host), Vector Institute (AI), University+College labs Industry: Cloud providers, chip makers (CPU/GPU/accelerators), MLOps platforms, cybersecurity vendors Public/Standards: Municipal/Provincial innovation units, standards bodies, privacy commissioners Ecosystem: Startup accelerators, industry associations (health, finance, manufacturing) (Confirm and brand these based on actual agreements.) Practicalities Capacity: Hall B92 (theatre) + adjacent breakout rooms (2–3) for labsRoom Setup: Keynote room: theatre; stage with confidence monitor, dual projectors, 4 wireless mics + 2 handhelds Labs: classroom pods (5–6 per table), robust Wi-Fi, power strips, whiteboardsA/V & Tech: 4K projection, HDMI/USB-C hookups, clickers, recording (optional), hybrid streaming-readyWi-Fi: Dedicated SSID for presenters + separate attendee SSID; minimum 1 Gbps down / 200 Mbps upCatering: coffee/pastries morning, boxed lunch, two snack breaks, speaker green roomAccessibility: step-free access, reserved seating, CART/ASL on request, alt-text in slides templateSustainability: digital agenda, reusable signage, locally sourced catering, bottle-fill stationsSafety: on-site first aid, emergency contacts, clear evacuation routesRegistration Desk Hours: 07:45–17:30 Certifications Certificate in Responsible AI Implementation (Level 1) – 6 CPE/CPD hours Awarded upon attending the Governance Track + Lab 2 + completing a short assessment (online). MLOps Practitioner Micro-Credential – 6 CPE/CPD hours Awarded upon completing Lab 1 + Lab 3 + passing an applied quiz.(Digital badges issued within 7 business days.) Training & Workshops (Hands-On Labs) Prereqs for labs: Laptop with admin rights; Python 3.10+ and Docker installed; optional GPU access via provided cloud credits. Lab 1: Production LLMs & RAG Systems (2 hrs) Build a retrieval-augmented generation pipeline with vector search, evals, and guardrails. Takeaway: repo template + deployment checklist. Lab 2: Responsible AI & Governance Toolkit (1.5 hrs) Bias measurement, privacy risk triage, model card creation, incident response tabletop. Takeaway: governance templates + DPIA starter. Lab 3: MLOps & Cost Optimization (1.5 hrs) CI/CD for models, model registry, monitoring (drift, hallucination rates), autoscaling. Takeaway: reference pipeline + cost dashboard workbook. Exec Roundtable: AI Strategy & ROI (invite-only, 1 hr) KPIs, build vs. buy, roadmap patterns, vendor diligence. Single-Day Program (28 Oct 2025) All times local (Toronto, EDT). 07:45–08:45 Registration, Coffee, Networking08:45–09:00 Welcome & Land Acknowledgment (TMU representative)09:00–09:35 Opening Keynote: Responsible Intelligence at Scale09:35–10:10 Keynote Fireside: AI Safety Meets Business Outcomes10:10–10:30 Networking Break 10:30–12:00 Parallel Tracks Track A (Technology): Vector Databases in Practice (30) Efficient Fine-Tuning (LoRA/QLoRA) (30) Edge AI & On-Device Models (30) Track B (Sectors): Healthcare AI with Privacy by Design (30) Finance: GenAI for Risk & Compliance (30) Manufacturing: Vision + Robotics (30) 12:00–13:00 Lunch & Poster Session (student/industry demos) 13:00–14:30 Labs Block 1 Lab 1 (RAG systems) – Room L1 Governance Mini-Workshop (policy leads) – Room G1 14:30–14:45 Coffee Break 14:45–16:15 Labs Block 2 Lab 2 (Responsible AI) – Room L2 Executive Roundtable – Boardroom 16:15–17:00 Case Study Lightning Talks (5 × 9 mins)17:00–17:45 Pitch Showcase: Startups & Research-to-Market17:45–18:00 Closing Remarks & Certificate Instructions18:15–19:30 Optional Networking Reception (near campus) Session Details (Sample Abstracts) Vector DBs in Practice: Patterns for hybrid search, chunking, evals, and latency SLAs. Efficient Fine-Tuning: Parameter-efficient strategies, safety guardrails, eval frameworks. Edge AI: Model compression, quantization, and privacy-respecting inference. Healthcare AI: De-identification, clinical LLMs, validation protocols. Finance GenAI: Audit trails, prompt logging, model risk governance. Vision & Robotics: Synthetic data, safety interlocks, and throughput gains. Partner & Sponsor Opportunities Tiers & Benefits (examples): Title Partner (1): Logo on stage, keynote slot, 20×20 demo space, 10 passes. Platinum (3): Track naming, panel seat, 10×20 booth, 6 passes. Gold (6): Workshop co-host, 10×10 booth, 4 passes. Startup/Ecosystem: Pod desk in startup alley, 2 passes.All tiers include lead retrieval, opt-in attendee contact list, and content syndication rights (per consent). Exhibits & Demos Startup Alley: curated 15 startups (health, fintech, robotics, tooling). Innovation Posters: students/industry R&D with QR-linked abstracts. Hands-On Pods: sandbox stations for live model testing. Matchmaking & Networking Pre-event interest survey → algorithmic session & meeting suggestions. Investor office hours (sign-up required). Sector tables at lunch (health/finance/manufacturing/public sector). Birds-of-a-Feather breakouts during coffee windows. Budget Template (quick guide) Venue & A/V: stage, recording, Wi-Fi upgrades Catering: coffee breaks, lunch, reception Staffing: registration, speaker ops, A/V techs, volunteers Marketing: ads, design, printing minimal Insurance & Contingency: 10–15% buffer Revenue: registrations, sponsorships, exhibitor fees, grants Risk & Compliance Privacy: clear data collection notice; session tracking opt-outs Ethics: AI demo safety policy; no sensitive PII processing on-site Health & Safety: first-aid on-site; incident response lead; emergency comms plan Communications & Marketing Tagline: “Build smarter systems—safely, responsibly, and at scale.”Channels: partner newsletters, LinkedIn campaigns, academic lists, incubators.Assets: speaker social kit, sponsor kit, email sequences (T-8, T-4, T-1 weeks), press note. Registration Information: Tickets are available for individual attendees, corporate groups, and students. Don’t miss your chance to be a part of the Global AI & Emerging Technologies Conference . Register now to secure your spot and take your career or business to the next level! Terms & Conditions : Please note that all registration fees are non-refundable, non-negotiable, and non-transferable. Please make your own arrangements for visa (if applicable), accommodation, meals, and transportation during the conference. After completing the registration and verifying your successful payment, a regular invitation letter will be sent within 2 business days. NB-Contact for invitation letter : info@globaltechzone.com