Reframing AI: Exploring Radically Different Ways of Working
Karim Benammar
Almost everyone is confused about AI, because of the many conflicting claims about it and the speed at which it keeps changing. Karim clearly explains the scientific basis underlying the current models, how they work, what they can and cannot do, and what that means for your workflow and the value proposition of your team and sector.
Participants leave with a working understanding of AI models, two fundamental paradigm shifts in the way we will work in the future, and two design questions to design their own customized interaction with AI models for their workflow. The session works on several levels, from beginners who get introduced to the key points to advanced users challenged to expand their ambition.
This is an interactive session in which Karim puts several questions to the audience. Participants map their current AI use, design the AI collaborator they would want, and decide what they could build to support their workflow. Throughout, Karim demonstrates interactive AI tools he has built himself. Q&A at the end.
In 1997 the world chess champion Garry Kasparov lost to a computer. A year later he set up a new kind of tournament, featuring a combined team of a human and a computer, and found that this combination beat both the best humans and the best machines.
He called this a centaur: a mythical half-horse, half-human figure. We are all becoming AI-assisted centaurs now, and the question for every team is how to reframe its current workflow and value proposition into an AI-assisted one.
To do that, we need to understand what the models actually do. Karim explains three kinds of AI in plain terms. Traditional AI is symbolic and deterministic: rules, if-then, current software programming.
Generative AI is probabilistic: it matches patterns in enormous datasets and produces new text, images, and code, which is why it is creative and makes mistakes. Reinforcement learning, which produced mind-blowing breakthroughs in gaming and biology, is used with both.
Understanding this is not academic: it tells us how to use the models in our work. Karim shows interactive AI tools he has built to illustrate this, using his own work and examples from different sectors. Participants see what can be built with AI and how it reframes what a job consists of.
The second part is about reframing your own workflow, at three levels: automation, augmentation, and reframing. Two paradigm shifts run through it. The first is from monologue to dialogue, from working alone to working with collaborators you define yourself: this is what your interaction with a GPT or an agent really is, and it fundamentally changes how you work.
Participants reflect on how they would make that shift in their current role and see how to set up a system to build their own team. The second shift is from standard to customized. Our learning, our software, and our tools are all being built just for us.
The consequence is simple: stop doing things yourself and instead ask a carefully designed agent to do them for you. We examine how to provide maximum context and training to design such agents.
This session works across all levels: from beginners still struggling to understand AI to people who already build their own AI agents. Beginners are told which key points really matter and how to get started; advanced participants are encouraged to become more ambitious with their technical knowledge.
Everyone leaves with a clearer picture of how these models work, a sharper sense of how their own work is going to change, and the encouragement to start building.
From the survey every participant gets when the session ends, in their own words.
Was a really great session and I enjoyed Karim's energy and flow.
Great speaker!! Thank you for inviting him!
Excellent content and very thought provoke
If we had more time some practical examples for us.
Very clear and interactive session.
This lecture gave me useful tips on the usage of AI and a new view
Great energizing speaker. Really enjoyed it
It is interactive, and the block above says exactly how for this session. Nobody has to speak up who does not want to: the chat and the polls carry most of it, and the questions can come in anonymously.
Almost everyone is confused about AI, because of the many conflicting claims about it and the speed at which it keeps changing. Karim clearly explains the scientific basis underlying the current models, how they work, what they can and cannot do, and what that means for your workflow and the value proposition of your... It is built for a general working audience: no prior knowledge is assumed, and people who already know the subject get the research and the practical side rather than an introduction.
Karim Benammar is one of the experts we auditioned ourselves, and we produce every session so we see how each one lands. Participants rate this session 4.3 out of 5, across 2,305 responses, and rate Karim personally 4.5 out of 5.
It runs 45 min / 15 min: the talk, then live questions. All you do is pick a date. We brief Karim, produce the session, host and moderate it, run the Q&A, and send you the report within an hour of the end.
A team, a department, an employee network or every single employee at once, with no cap and no per-seat price. It runs inside your own Microsoft Teams, Zoom or Google Meet, or on a branded page we build. No integration, no login, no company device or e-mail.
The session is delivered in English, Dutch. You can add high accuracy live subtitles in 8, 16 or 24 languages, so everyone follows in their own. That is a paid option, priced by the number of languages you need.
No, and that is by design. There is nothing to install, nothing to integrate and no connection to your systems, so there is nothing for IT to validate: we join your own Teams, Zoom or Meet as a guest speaker, or we host a page and your people open a link. No software, no accounts, and no data of yours that we can reach. It is why hundreds of companies, among them some of the largest technology and financial firms in the world, were able to start within a day.
We never receive or hold personal data about your employees. Because the session runs in your own environment, attendance and identity stay with you, and what we report back is aggregated: numbers, ratings and survey answers, not people. That is also why IT approval usually takes minutes rather than weeks.
You keep the recording and can share it internally. You also get attendance over time, participant ratings for the content and the speaker, the survey answers, and the topics your people asked for next.
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