AI for events and networking — page 5
Matchmaking, recommendations, AI note takers and how machine intelligence changes who you meet.
309 stories in this topic
Wheelchair Accessible Events: What Organizers Consistently Forget
A practical guide to wheelchair accessible events, covering overlooked accessibility details, planning checklists, inclusive attendee experiences, and how event organizers can create better experiences for everyone.
Networking as a Parent With Childcare Constraints: How to Build Professional Connections
A practical guide for parents who want to grow their professional network despite childcare limitations. Discover parent-friendly event strategies, flexible networking approaches, and ways organizers can create more inclusive experiences.
How to Get Your Conference Ticket Paid by Your Employer
Learn how to create a successful conference budget request, justify professional development value, and increase your chances of getting your conference ticket approved and paid by your employer.
Conferences With the Best Networking Programs: How to Build Meaningful Connections
Discover what makes conferences with the best networking programs successful, how smart matchmaking improves attendee connections, and how event organizers can create more valuable networking experiences.
Developer Conferences by Language and Ecosystem: A Practical Guide
Explore developer conferences by programming language and technology ecosystem, from JavaScript, Python, Java, Go and Rust to cloud native, mobile and AI communities. Compare audiences, formats and learning opportunities, then use a practical framework to choose events where you can learn, contribute and meet the people most relevant to your goals.
AI Conferences Worth the Ticket in 2027: The Best Events to Attend
A practical guide to the AI conferences worth attending in 2027. Compare leading events by audience, subject focus, networking potential, location, and likely ticket value—then use a decision framework to choose the conferences that best match your goals.
Why Our First Networking Format Failed: Lessons From Better Event Connections
Discover why traditional networking formats often fail, what event organizers can learn from unsuccessful approaches, and how smarter networking strategies create more meaningful professional connections.
The Match That Was Technically Right and Socially Wrong: Why Smart Matchmaking Fails
A technically correct match can still fail when human context, timing, trust, and social compatibility are ignored. Learn why matchmaking systems fail and how better event networking creates meaningful connections.
A Feature We Launched and Removed in Six Weeks: Product Failure Postmortem
A product failure postmortem exploring why a feature launched with high expectations was removed six weeks later, what teams can learn from failed product bets, and how event networking platforms can build more user-centered experiences.
CAN-SPAM Compliance for Event Emails: A Complete US Guide
Learn how CAN-SPAM compliance applies to event emails in the US, including consent, unsubscribe rules, sender identification, email practices, and how event organizers can manage compliant communication workflows.
The EU AI Act and Recommendation Systems at Events: What Organizers Need to Know
A practical guide explaining how the EU AI Act affects recommendation systems used at events, what organizers should consider for AI-powered networking, transparency, privacy, and compliant attendee experiences.
Legitimate Interest Assessments for Attendee Matching: A Practical Guide for Event Networking
Learn how legitimate interest assessments support privacy-compliant attendee matching at events, what organizers need to document, and how consent, transparency, and smart networking platforms work together.
Why We Turn Down Certain Feature Requests: Our Product Principles
Learn why MeetWho does not build every requested feature and how product principles, user needs, privacy, and long-term value shape better event networking decisions.
What Our AI Cannot Do: Understanding AI Limitations
Discover what AI cannot do, where AI systems have limitations, and why transparency matters when using artificial intelligence for decisions, automation, and human connections.
Why We Publish Our Failure Rates
Discover why publishing failure rates is a core part of product transparency. Learn how honest metrics, accountability, and customer trust shape better SaaS products and smarter decisions.
Our Editorial Standards and How We Source Claims
Learn how editorial standards define trustworthy content, how claims are sourced and verified, and why transparent research practices matter for reliable event networking insights.
How We Build a Match: The Full Matchmaking Methodology
How does MeetWho decide who you should meet at an event? This guide explains the matchmaking methodology behind relevant networking recommendations, including participant intent, event context, shared interests, mutual value, privacy controls, match explanations and the signals that help turn attendee data into more meaningful conversations.
We Audited Our Own Matching for Bias: Building Fairer Algorithmic Networking
Learn how algorithmic bias audits help build fairer matching systems. Discover how MeetWho approaches transparent, privacy-focused event networking recommendations.
We Asked AI to Plan a Meetup. Here's What Broke: Lessons from an AI Event Planning Test
An AI event planning test reveals where artificial intelligence can help organize meetups and where human judgment, attendee insights, and meaningful networking still matter.
We Sent 100 Follow-Up Emails: Here’s the Reply Rate and What It Means
Discover the real lessons behind sending 100 follow-up emails, including reply rate benchmarks, response patterns, follow-up strategies, and how better relationship-building can improve professional networking outcomes.
We Ran the Same Event Twice, With and Without Matchmaking: What a Matchmaking A/B Test Reveals
A practical breakdown of running the same event with and without matchmaking to understand how attendee matching impacts networking quality, engagement, and event outcomes.
University Career Fair Case Study: How Interview Rates Doubled
Discover how a university career fair case study shows the strategies that can double interview rates through better event preparation, student-employer matching, and smarter networking experiences.
Running Matchmaking at a 1,200-Person Conference: A Practical Case Study
Learn how to run matchmaking at a 1,200-person conference with practical strategies for attendee profiling, intelligent introductions, networking workflows, and post-event relationship building.
Cross-Industry Matching: Which Pairings Produce Real Meetings?
Discover how cross-industry matching creates valuable professional connections, which industry pairings generate meaningful meetings, and how event organizers can design smarter networking experiences.