CREtech New York 2026 | Real Estate AI Conference NYC

⌖ New York · Teachers College, Columbia University

Hosted by EdTechWeek / StartEd

The AI for Educators Summit brings practical, hands-on AI training for K–20 education to Teachers College, Columbia University in New York on 20 October 2026. Designed for educators who want to move beyond AI hype, this free, full-day experience focuses on the skills, strategies and tools needed to integrate artificial intelligence into teaching, learning and educational leadership. Practical AI training for education Co-produced by Teachers College, Columbia University and StartEd’s EDTECH WEEK, the summit combines expert insight with opportunities to explore how AI is already being applied in classrooms and educational organisations. It is suitable whether you are taking your first steps with AI or already experimenting with it and preparing to lead wider change. Attendees can expect: - Hands-on workshops led by expert facilitators - Talks and training from speakers working across AI and education - Real-world examples of classroom AI applications - One-to-one conversations with EdTech innovators and AI product leaders - Focused exploration of tools and technologies shaping teaching, research and operations - An AI Readiness Certificate of Completion certified by Teachers College, Columbia University Summit partners are focused on responsible, accessible uses of AI that can support students, faculty, researchers and administrators. The programme is intended to help participants enhance teaching, streamline operations and evaluate new possibilities without losing sight of practical educational needs. Who should attend? The event is built for educators and administrators across the K–20 landscape, including: - K–12 classroom educators seeking applied AI training - District administrators working on policy and procurement - Higher education faculty exploring AI in curricula and research - Workforce and adult-learning leaders planning upskilling initiatives - CTE and STEM coordinators developing future-ready pathways Attendance is subject to eligibility criteria, so prospective participants should review the organiser’s requirements when applications open. Earn NYC DOE CTLEs… Register for this event

Sponsors: OpenAI · Chan Zuckerberg Initiative +10

◎ Online

Hosted by Apart Research

AI Collusion Research Sprint is a three-day, hands-on AI safety event running 23–25 October 2026 online and at Collider in New York City. Over one intensive weekend, participants will design and run controlled experiments investigating when AI agents collude, how auditors can distinguish coordination from coincidence, which channels carry collusive behaviour, and how defenders might disrupt it. The sprint is organised by Apart Research with Poseidon Research and AE Studio, with an in-person hub hosted by Collider in New York on Saturday and Sunday. What you’ll work on Participants choose one open research question, build an experiment and write up their findings. Projects sit within three tracks: - Markets and collusion: examine which variables allow collusion to emerge, whether it survives changes in participants, how detection could improve, and which restrictions reduce collusion at the lowest cost. - Detection and audit: investigate which tasks encourage collusion, whether combining agents’ statements and actions improves detection, and what should qualify as convincing evidence in logged trajectories. - Carriers and countermeasures: test whether actions, tools or side channels can transmit coordination; whether trusted agents can disrupt it; how agents identify peers; and how coalitions respond when monitored. Each question connects to existing papers and open-source code. Practical resources include starter code, a weekend-sized project suggestion, a rough cost estimate and a route designed to run on a standard 16 GB laptop without a GPU. Format and who it’s for Teams of one to five people will select a track, develop a project and ship their results over three days. You do not need to arrive with a team, have previous sprint experience or possess an AI, machine learning or AI safety background. The programme is particularly relevant to quantitative finance professionals whose market intuition and data skills transfer naturally to the research questions. Engineers, researchers and participants from other industries are also welcome, with mixed teams encouraged. Prizes and next steps… Register for this event

Sponsors: Poseidon Research · AE Studio

⌖ New York

Hosted by IQT

IQT’s Quantum + AI 3.0 conference in New York City (October 25–27, 2026) brings together researchers, engineers, startup founders, corporate leaders, investors, and policymakers to explore the convergence of quantum computing and artificial intelligence. This three-day, multi-track event showcases how quantum technologies can accelerate AI innovations and how AI can drive practical use of quantum hardware, with a strong emphasis on real-world impact across multiple industries. What to expect: - 3 days of talks, panels, and case studies with 80+ speakers from academia and industry - A broad program covering the quantum stack and AI applications, plus dedicated coverage of post-quantum cryptography through the PQC+IQT track on Oct 26 - Daily mentoring sessions to help attendees advance research, product ideas, or business development - An enhanced networking experience designed to connect researchers, startup founders, corporate executives, investors, and policymakers - An informal greeting & Meet event on Oct 25: New York Harbor Dinner Cruise, offering a relaxed setting to connect with peers while taking in the city views - A focus on tangible use cases across pharma, supply chain, defense, cryptography, finance, and other industries - A look at how quantum-enabled AI can unlock new capabilities and how AI strategies influence quantum research and deployment Why this matters: - IQT’s flagship Q+AI conference is a leading global gathering for the AI + quantum community, expanding each year with more exhibitors, speakers, and networking opportunities - Attendees will gain insight into both AI up, down, and around the quantum stack and how quantum computing can enable AI breakthroughs - The event includes a post-quantum cryptography focus, highlighting security considerations as quantum capabilities grow Audience and format: - Target audience includes researchers, engineers, startup founders, corporate executives, investors, and policymakers - In-person conference with multiple tracks, plus dedicated mentoring and networking components - The program is designed to foster collaboration, partnerships, and practical knowledge transfer that attendees can apply in their own projects Key speakers and leadership: - Program coordinated by Bob Sutor and Brian Siegelwax, with a displayed roster including leaders such as Yonatan Cohen, Russ Fein, Isaiah Hull, Mike Jennings, Troy Jensen, and many others from academia, industry, and legal/venture backgrounds Logistics

⌖ New York

Hosted by Crescendo

Crescendo Live San Francisco 2026 brings together customer experience leaders for a full-day exploration of AI's real-world impact on CX operations. Taking place on May 21, 2026 (9:00 AM – 6:00 PM PST) in the heart of San Francisco's tech ecosystem, this operator-focused conference cuts through AI hype to showcase what's actually working in customer support, automation, and team design. What You'll Gain This isn't another vendor-heavy conference. Crescendo Live delivers practical insights from experienced CX operators who are successfully deploying AI in production environments. You'll get clear on the new CX standard — understanding how speed, consistency, and trust have fundamentally reset customer expectations and where many organizations quietly fall short. The event tackles critical questions facing CX leaders today: how to move AI from experimentation to execution without breaking customer trust, how to pair automation with human expertise for faster decisions, and how to build smarter teams that leverage AI while maintaining the judgment and empathy that define exceptional service. Speaker Lineup Hear from leaders at the forefront of AI-powered customer experience, including James Green (Chief Customer Officer, Squire), Hemant Taneja (CEO, General Catalyst), Morgan Donaldson (Chief Commercial Officer, CNTRL+), Jaqueline Andre (Sr. Director CS Production & Support, BentoBox), Chris Jocson (Chief Operating Officer, Good Eggs), and executives from TaskRabbit, POLYWOOD, and Crescendo itself. These practitioners share real stories, honest challenges, and proven strategies from teams facing the same operational pressures you navigate daily. Event Format The day blends main stage content with interactive breakout sessions and workshops. Morning sessions (10:00 AM – 12:00 PM) dive into foundational shifts in CX, followed by lunch and networking. Afternoon breakouts (1:30 – 2:30 PM) offer hands-on exploration of specific topics, with additional main stage content (2:30 – 4:30 PM) before an awards ceremony and cocktail reception that extends networking into the evening. Who Should Attend This conference is designed for CX leaders, customer support directors, automation strategists, and anyone responsible for delivering scalable, high-quality customer experiences. Whether you're evaluating AI tools, refining automation strategies, or redesigning team structures around AI capabilities, you'

⌖ New York · Microsoft Experience Center

Hosted by Mark P.

LLMday brings engineers, researchers and product teams to New York for a full day of practical insight into building, deploying and operating AI systems. Taking place on Thursday 29 October 2026, from 9:00am to 6:00pm EDT, this in-person conference focuses on Large Language Models (LLMs), artificial intelligence and machine learning. It offers a space for people working directly with AI products and infrastructure to compare real-world experience rather than discussing the technology only in theory. What to expect The programme is centred on the practical challenges encountered across the AI system lifecycle. Attendees can expect content relevant to: - Building products and services powered by LLMs - Deploying AI and machine-learning systems - Operating AI systems in real-world environments - AI/ML engineering and cloud architecture - Lessons shared across engineering, research and product disciplines The event page does not yet list individual sessions or speakers, but the latest programme information is available on the official Speakers & Topics page. Who should attend? LLMday is designed for engineers, researchers and product teams working with,or actively exploring,LLMs, AI and machine learning. Its cross-functional focus should be particularly useful for attendees who want to understand how technical research, product decisions and operational requirements come together when moving an AI system into production. The one-day, in-person conference format provides a concentrated opportunity to learn from real implementation experience and meet others facing similar questions around AI development, deployment and operation. Meetup attendees can also access the event chat before the conference to connect with other participants and take part in the conversation. Venue and registration Hosted by Mark P. and the In-Person Tech Events NYC 2026 group, the conference will be held at the Microsoft Experience Center, 677 Fifth Avenue, New York, NY 10022. A Meetup RSVP records interest only and does not complete registration. Tickets must be booked separately through Luma. The organiser is offering 50% off with promo code MEETUP50. Register for LLMday NYC 2026 Q4 or view the event listing.

⌖ New York · The New York Times Center

Hosted by All Tech Is Human

Responsible Tech Summit 2026 brings 375 global leaders to New York on 29 October to turn responsible AI principles into practical accountability. From principles to power Hosted by All Tech Is Human, this highly curated, one-day summit will convene bridge-builders and decision-makers from civil society, government, industry and academia. The central theme,“From Principles to Power: Embedding Accountability in the AI Era”,moves the responsible technology conversation beyond broad commitments and towards the relationships, influence and action needed to make accountability meaningful. Taking place at The New York Times Center in New York, the summit is designed for people working across organisational and sector boundaries in the Responsible Tech ecosystem. It will be particularly relevant to policymakers, researchers, civil society leaders, technology professionals, academics and others shaping how AI is developed, governed and used. The global, cross-sector mix offers attendees an opportunity to compare perspectives and build connections with people approaching AI accountability from different institutional positions. What to expect The main programme will run from 10:00am to 5:00pm EST on Thursday, 29 October 2026 and feature a varied stage format, including: - Panel discussions bringing together viewpoints from across the ecosystem - Fireside chats for more focused conversations - Presentations exploring responsible technology and AI accountability - A nearby networking gathering immediately after the stage programme - Coordinated side events offering more hands-on engagement With in-person attendance limited to 375 participants, the format places a clear emphasis on a deliberately assembled community rather than a large, general-interest conference audience. The networking session and side events extend the experience beyond formal talks, creating space for deeper discussion, practical exchange and new cross-sector relationships.… Register for this event