Alex ist KI-Ingenieur, Moderator und hat seine Karriere immer wieder neu erfunden. Er war einer der ersten, die er kannte, die ihren Job an KI verloren: Von 2008 bis 2010 arbeitete er als technischer Übersetzer und wurde von maschineller Übersetzung verdrängt, noch bevor die meisten Branchenteilnehmer dies erkannten. Er kehrte in den Ingenieurberuf zurück (zuerst NLP, dann ML, dann KI-Engineering), entdeckte rechtzeitig seine Leidenschaft für Python und leitet nun die KI-Entwicklung für Produkte im Bereich Medizin und Therapie, nachdem er bei Apple in der frühen NLP- und Siri-Lokalisierungsphase tätig war.
Er kennt diese Entwicklung bereits und spürt, wenn sie sich wiederholt.
Parallel dazu ist er IFS-Practitioner Level 2 und leitet das IFS Collective mit, wo er Workshops und Einzelcoachings zu Entscheidungsfindung, Lebensgestaltung und nachhaltigem Wandel anbietet.
Er versteht sich ausdrücklich nicht als „einfühlsamer“ Coach: konfrontativ, allergisch gegen Motivationsfloskeln und eher geeignet für Menschen, die einen schonungslosen Spiegel als ein weiches Kissen brauchen.
pedori.com
Vergangene Vorträge
The Beautiful Mosaic: Aligning Your Many Inner Drives to Design Your Next Chapter
Freitag, 12. Juni 2026, 13:30 Uhr
One part of you wants stability. Another wants freedom. A third wants meaning, and a fourth just wants to stop overthinking and ship something. Traditional planning fails because it assumes a single decision-maker sitting at the wheel. There isn’t one, and pretending otherwise is why your last three "five-year plans" quietly died.
In this hands-on session, you’ll stop forcing motivation and start working with your internal diversity.
Using the Beautiful Mosaic method (drawn from Internal Family Systems and 20 years of facilitation) you will:
• Map three plausible future lives, not just the “responsible” one
• Identify what each inner drive is actually trying to protect (it’s rarely what you think)
• Design a 4-week experiment that tests a direction instead of forcing a decision.
Fair warning: I'm am not the "everything is already great" kind of person.
We'll ask uncomfortable questions and push on the parts of your story you’ve smoothed over.
You’ll leave with clearer direction, less internal friction, and decisions that hold because every part of you is on board.
How Will AI Influence My Future Of Work?
Mittwoch, 15. Mai 2024, 10:00 Uhr
Alessandro Pedori has worked with language technology since 2012, after machine translation pushed him out of translating and back into programming. In his talk at Freelance Unlocked 2024 he describes what AI can do for freelancers' work as of May 2024. He calls himself an engineer, not a futurist, and sticks to the next six months.
**What the talk covers**
- His own mind-blown moment: a student's coding problem that took him 20 minutes was solved by ChatGPT in 20 to 30 seconds. He suggests about ten hours with a good model, first to feel that, then to find its limits.
- The limits, by his account: models cannot count words, forget unless you build memory in, plan badly and lack common sense. A demo that works 90 to 95 percent of the time can impress a board, he says, but not where reliability matters.
- Four questions before you automate: is it possible, is it good for me, is it ethical and legal, and does it pay off against how often you do the task? He finds input, output and classification tasks easy and is uneasy about taking humans out of decisions.
- Test an idea with the tools anyone can buy. If a couple of hours of research do not solve it, it is probably hard.
- The interface is often the weak point. In a drugstore project, ordering by voice assistant worked technically, but nobody wanted to order toilet paper by voice.
- Where people stay useful: understanding the task, common sense and judgement.
**From the Q&A**
He expects bigger context windows and fewer made-up answers. On creativity, he says we mostly want novels written by humans, and chess is more popular than ever.
**Who it's for**
Freelancers who want a sober view of AI tools in 2024 and a way to test them on their own work.