Most organizations have already had the inspiring AI keynote. The room nodded. Nothing changed. That gap, between a team that is excited about AI and a team that actually works differently on Monday morning, is the most expensive gap in the field right now, and it is not closed by another talk about the future.
It is closed by people who have implemented these systems inside real companies and know exactly where they fail: where employees quietly stop using the tool, where the automation breaks, where legal says no, where the data was never clean enough in the first place.
Every one of the speakers below has done that work. They are all on the English roster at Everything AI, and this list is organized by the stage of adoption you are actually at.
Implementation and automation
Ben Rotenberg
Over ten years in tech, including Head of Growth at Overwolf and at Classiq in quantum computing, where he implemented AI tools across company departments. For the past two years Ben has consulted, trained and built AI infrastructure for large organizations, well-known brands and hi-tech companies. He is the speaker who knows the difference between a tool that demos well and a tool that survives three months of real use, and he has run workshops for organizations including the Weizmann Institute, Google, Tel Aviv Municipality, Stratasys and SolarEdge.
Best for: organization-wide implementation, hands-on workshops, automation training, mixed-seniority audiences.
Amir Shneider
CMO of two US-market InsurTech startups and marketing lead at Toffu AI, an agent platform used by leading Israeli agencies and tech companies. His session, "A One-Person Marketing Department Powered by an Army of AI Agents," is the most concrete agentic-AI content we represent, and it is aimed squarely at teams that want to know what a department looks like after the agents arrive.
Best for: marketing and GTM teams, agent and automation programs, startups and scale-ups.
Michael Levinger
AI engineer and Senior Data Scientist in the risk division at Melio, building advanced fraud-prevention algorithms. Michael focuses on keeping human control over AI systems while shipping them, builds agents live on stage, and demonstrates how AI opens software development to people with no technical background. Practical, technical, and unusually clear.
Best for: technical implementation, engineering-adjacent teams, fintech and risk functions.
Dr. Elisha Rosensweig
Computer Science PhD, a decade in hi-tech R&D, currently a researcher at Dicta. A native English speaker who runs workshops specifically for R&D and development teams. Book him when the audience is engineers and the session needs to survive their scrutiny.
Best for: R&D organizations, development teams, deep technical workshops.
Boaz Ziniman
Nearly three decades in development, cloud and developer communities, including Principal Developer Advocate for EMEA at AWS. Boaz speaks about how coding agents are reshaping the software development lifecycle: which tasks are already changing, how roles are evolving, how to run code review in this world, and how to measure the real value of AI against its cost, token consumption and risk. It is the rare session that treats AI adoption as an engineering management problem.
Best for: R&D leadership, engineering organizations, technical strategy.
Adoption, strategy and leadership
Yuval Passov
Twelve years leading strategic initiatives at the intersection of corporates and the global startup ecosystem, and one of LinkedIn's named leading voices. Yuval specializes in making the AI shift legible to leaders: using AI as a thinking partner for decision-making, and mapping the path toward autonomous systems. Book him for the session before the implementation, when the leadership team still has to decide what it is doing and why.
Best for: executive teams, strategy offsites, innovation programs.
Inbal Arieli
Serial entrepreneur, investor and organizational culture researcher. Inbal's contribution to an implementation program is the part most companies skip: the organizational muscles that determine whether adoption succeeds at all, meaning courage, accountability, directness and the ability to act under uncertainty. Technology adoption is a culture problem wearing a technology costume, and she says so.
Best for: transformation programs, culture work, leadership keynotes.
Dr. Limor Ziv
Founder and CEO of Humane AI, selected by Meta as one of the fifteen most promising startups of its year, with clients including KPMG, Google, Bright Data and Medison Pharma. Limor covers the part of implementation that legal and risk will eventually ask about anyway: how algorithms reach decisions, where the failure modes hide, and how to govern data before it becomes a problem.
Best for: risk, compliance and legal functions, data governance programs, regulated industries.
Reut "Turbo" Shechter
Creator of TURBO OS, built over a decade as the operational right hand of founders. Reut works on the question every AI program eventually runs into: the team now has more capacity, and no clear agreement about what deserves it. Her method turns overload into focus, which is what most organizations were actually trying to buy when they bought AI.
Best for: senior management, operations, post-implementation productivity programs.
Naomi Carmi
Fifteen years across agencies, eCommerce and B2B consulting, now advising companies and startups. Naomi builds the marketing channel and technology map for each organization and teaches which AI tools genuinely earn their place in a working stack. She is direct about what does not work, which is more useful than another tool roundup.
Best for: marketing departments, growth teams, B2B and eCommerce organizations.
Yael Man Shachar
Has written and edited close to a hundred lectures for executives, founders and public initiatives, and researches attention and knowledge transfer in the digital age. In an implementation program she handles the piece that determines whether any of it lands: how leaders communicate the change, and how internal messages become stories people repeat rather than announcements people ignore.
Best for: leadership communication, internal comms, change management programs, speaker training.
Creative and content teams
Doron Tsur
Screenwriter with over twenty years of credits, now an AI process lead at Overwolf, where implementing AI into a creative pipeline is his actual job. Doron gives content teams daily-use tools and teaches with accessible platforms, which means the workshop translates into work rather than into enthusiasm.
Best for: content and creative departments, marketing teams, practical workshops.
Ziv Meiri
Ex-Google, ex-PepsiCo, former CCO at McCann Tel Aviv, now specializing in applying AI across advertising, creative and production. Ziv works with creative organizations on how the process itself changes, not just the output.
Best for: agencies, brand and creative teams, production departments.
Efrat Yamin
Twenty years as an art director on award-winning campaigns, now a leading AI artist. Efrat trains creative teams on generative image work to a professional standard, which is the difference between a team that plays with these tools and a team that ships with them.
Best for: creative departments, design teams, image generation training.
Lior Meiri
Twenty years leading creative teams in agencies and tech companies. Lior's implementation angle is cultural: he treats curiosity as a professional obligation and gives creative teams permission and a method to keep learning rather than digging in.
Best for: agency teams, creative leadership, advertising organizations.
Or Ayalon
Designer, brand builder and certified coach who has worked with Israel's leading agencies and tech companies for over a decade. Her interactive sessions on creative process and AI leave teams with exercises they can keep using, which is a rare thing to be able to say about a workshop.
Best for: design and creative teams, creative thinking programs, offsites.
Book a speaker
Every speaker on this list is represented by Everything AI. Browse the full English-language speakers roster or get in touch to discuss a training program for your organization.
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