Best Artificial Intelligence Speakers for Technology (SaaS) Conferences (2026 Guide)
Discover the Best Artificial Intelligence Speakers for Technology (SaaS) Conferences helping teams ship AI, scale responsibly, and drive real product and growth outcomes.
This guide features the Best Artificial Intelligence Speakers for Technology (SaaS) Conferences for SaaS founders, product leaders, and conference planners seeking practical, production-ready AI insights. If you’re searching for the Best Artificial Intelligence Speakers for Technology (SaaS) Conferences, you’re in the right place.
We analyzed SaaS and technology conference agendas, product-led growth events, and AI practitioner summits, then curated this list from The Keynote Curators roster. Each speaker here helps technical and non-technical audiences alike understand how AI actually drives better products, smarter decisions, and scalable growth.
Why This Matters Now
SaaS audiences expect more than AI hype. The best artificial intelligence speakers for technology (SaaS) conferences help teams move from experimentation to real-world application that improves products, decisions, and customer outcomes.
They translate complex AI concepts into clear product and business implications, address governance and responsible use, and show how AI can be embedded into software in ways that build trust, scale intelligently, and deliver measurable value.
AI in production: moving beyond pilots to AI features that ship, scale, and perform reliably in real products.
Decision intelligence: helping teams use data and AI to make better product, pricing, and growth decisions.
Responsible AI: governance, bias mitigation, and trust-building for customer-facing platforms.
Customer experience: using AI to personalize journeys, improve retention, and reduce friction without sacrificing transparency.
Operational efficiency: automating workflows across engineering, support, and go-to-market teams.
AI literacy across teams: enabling non-technical leaders to understand, adopt, and govern AI confidently.
You’ll see these needs reflected throughout this guide, so your speaker selection and agenda align with what SaaS and technology audiences are actively seeking.
Who This Guide Is For
SaaS founders and executives leading AI-enabled platforms
Product, data, and engineering leaders scaling ML and AI responsibly
Technology conference organizers curating technical and strategic agendas
Venture and growth-stage companies navigating AI differentiation
Enterprise SaaS teams embedding AI into workflows and UX
How We Selected the Best AI Speakers for SaaS Conferences
We prioritized speakers who:
Have hands-on experience with AI in real-world products
Translate complex AI concepts into clear business and product outcomes
Speak fluently to technical and non-technical audiences
Offer keynotes, workshops, and fireside formats
Are trusted by SaaS, technology, and data-driven organizations globally
Tip: The strongest SaaS agendas pair an opening AI strategy keynote with a practical session on deployment, ethics, or decision-making to help teams move from inspiration to execution.
Best Artificial Intelligence Speakers for Technology (SaaS) Conferences: Top Picks
Each of the Best Artificial Intelligence Speakers for Technology (SaaS) Conferences brings real-world experience helping SaaS companies move AI from experimentation to production.
Order is alphabetical. Click through for full bios, videos, and availability. Images on speaker cards are illustrative; people pictured in composites are not actual clients.
Adam Cheyer — Co-founder of Siri and a pioneer in conversational AI; helps SaaS leaders understand how intelligent assistants and generative AI reshape product design, user experience, and customer interaction. Great for: product innovation, conversational AI, customer experience in SaaS platforms.
Cassie Kozyrkov — Former Chief Decision Scientist at Google who demystifies AI and data science; teaches teams how to use AI responsibly to improve decision-making at scale. Great for: AI literacy, decision intelligence, leadership and data-driven culture.
Eric Siegel, Ph.D. — Leading authority on predictive analytics who shows how machine learning delivers measurable ROI across SaaS products, marketing, retention, and growth. Great for: applied machine learning, predictive analytics, growth-stage SaaS companies.
Kartik Hosanagar — Wharton professor and expert on algorithmic decision-making; explores how AI impacts trust, fairness, and adoption in digital and SaaS platforms. Great for: AI governance, platform trust, enterprise SaaS and marketplace businesses.
Lisa Palmer — Strategist focused on responsible innovation; helps SaaS leaders align AI adoption with governance, culture, and long-term customer trust. Great for: responsible AI, executive leadership, digital transformation in SaaS.
Anders Sorman-Nilsson — Global futurist bridging technology and culture; shows SaaS organizations how to innovate with AI while remaining human-centered and future-ready. Great for: future of technology, innovation strategy, global SaaS conferences.
Comparison Snapshot (At-a-Glance)
The Best Artificial Intelligence Speakers for Technology (SaaS) Conferences combine technical depth with product, growth, and leadership insight.
Speaker
SaaS Relevance
AI Focus
Formats
Typical Use
Adam Cheyer
Product & UX
Conversational AI
Keynote • Fireside
Product innovation
Cassie Kozyrkov
Data & decisions
Decision intelligence
Keynote • Workshop
AI literacy
Eric Siegel
Analytics & growth
Predictive ML
Keynote • Workshop
ROI-driven AI
Kartik Hosanagar
Platforms & trust
Algorithmic governance
Keynote • Fireside
AI ethics
Lisa Palmer
Leadership & scale
Responsible AI
Keynote • Panel
Executive strategy
Anders Sorman-Nilsson
Innovation culture
AI futures
Keynote
Vision setting
Fees vary by date, location, routing, and format. Click to Get Proposal for precise quotes and current availability.
What “Artificial Intelligence” Means in SaaS Right Now
In SaaS, AI isn’t replacing product teams—it’s amplifying them. The best speakers in this space show teams how to:
Simplify complexity—turning data into insight that improves product, pricing, and growth decisions.
Operationalize AI responsibly—embedding models into workflows without creating risk, bias, or user distrust.
Bridge technology and usability—ensuring AI enhances user experience rather than adding friction.
Scale with governance—establishing guardrails that support experimentation while protecting customers and the business.
Build confidence and adoption—so teams and users see AI as a competitive advantage, not a black box.
SaaS Case Studies (Talk Tracks Your Audience Cares About)
These case studies are commonly requested when hiring an artificial intelligence speaker for technology transformation sessions. They focus on real-world deployment, measurable outcomes, and lessons learned from scaling AI in software products.
Product intelligence: AI-driven feature prioritization and roadmap decisions that increase adoption and reduce churn.
Customer retention: Predictive models that identify at-risk accounts early and trigger timely interventions.
Pricing and packaging: Machine learning insights that optimize pricing tiers, usage-based models, and expansion revenue.
Support automation: AI-assisted ticket routing, sentiment analysis, and resolution recommendations that lower response time without sacrificing customer trust.
Responsible AI at scale: Governance frameworks that balance experimentation, compliance, and user transparency in SaaS platforms.
Briefing Tips (To Get the Keynote You Want)
Sharing this context helps ensure your artificial intelligence speaker for technology (SaaS) conferences delivers a keynote that is relevant, practical, and immediately useful.
Share your audience mix (product, engineering, data, sales, customer success, leadership) and AI maturity level.
Clarify objectives and constraints, including regulatory considerations, ethical sensitivities, or topics to avoid.
Provide current metrics (churn, expansion, activation rates, support SLAs, adoption) so examples can be tailored.
Decide the interaction format (live polling, Q&A, fireside chat, table exercises).
Request a one-page summary of Monday behaviors plus a 30/60/90-day action plan as takeaways.
Booking the right Best Artificial Intelligence Speakers for Technology (SaaS) Conferences ensures your event delivers practical value, not hype.
Can speakers tailor to different SaaS audiences (product vs. engineering vs. go-to-market)?
Yes. Most speakers customize by function and seniority, and many will run separate sessions for leaders, product teams, data teams, or customer-facing roles.
Do you support virtual or hybrid events?
Absolutely. All listed speakers deliver in-person, hybrid, or fully virtual sessions.
Can we add a workshop or executive roundtable?
Yes—and we strongly recommend it. Workshops and roundtables are the fastest way to turn AI ideas into a clear 90-day plan with ownership and accountability.
How far in advance should we book?
Three to six months is ideal for peak conference seasons. If your timeline is tighter, we can recommend strong alternatives based on availability and routing.
How do we choose the right artificial intelligence speaker for SaaS conferences?
Look for speakers with real experience deploying AI in production SaaS environments, including product integration, decision intelligence, responsible AI, and adoption at scale. Practical SaaS fluency matters more than technical jargon.
Booking the right Best Artificial Intelligence Speakers for Technology (SaaS) Conferences ensures your event delivers practical value, not hype.
Relevant Resources on The Keynote Curators
If you need help selecting the ideal artificial intelligence speaker for technlogy (SaaS), explore these related TKC resources.