An algorithm decided what you watched last night. A different algorithm shaped every ad you saw. The car you drove is increasingly managed by software that learns. Your holiday was priced by AI before you reached the search page. And the job interview you have next week — the first person to read your CV was a machine.Season Three of AI at Work: five industries, all personal, one warning that appeared in every single episode.In this recap: every magic moment, every key stat, every catch — and the one pattern that showed up across all five episodes.Hosted by Oliver & Olga · Deep-dives from Anastasia & Sophia🔍 What's covered:- Media: Netflix's AI influences 80% of watched content — the algorithm is the cultural editor- Marketing: +41% email CTR, Coca-Cola AI campaigns, surveillance pricing under investigation- Automotive: 20M autonomous miles, 44% lighter components, the unsolved liability question- Travel: Delta resolves full disruption in 40 seconds — and charges you the most in a family emergency- HR: Amazon's AI taught itself to discriminate, IBM predicts departures 12 months ahead, 60% of knowledge workers AI-monitored- The one warning: AI learns from history — and amplifies its biases at scale, consistently, invisibly- 5 safeguards that appeared in every episode: human oversight, bias auditing, transparency, consent-first data, continuous retraining- The regulatory landscape: EU AI Act, NYC Local Law 144, FTC, NIS2 — what's coming- What Season 4 should cover: Healthcare, Financial Services, Climate, Retail 2.0 or Public Sector?🎙️ Full Season 3 episodes:▶ Ep 15 — AI in Media & Entertainment▶ Ep 16 — AI in Marketing▶ Ep 17 — AI in Automotive▶ Ep 18 — AI in Travel & Hospitality▶ Ep 19 — AI in HR & the Future of Work💬 What should Season 4 cover? Tell us in the comments — your answer shapes what we build next.🎓 Go deeper: https://wisdomacademy.ai🔔 Subscribe: https://youtube.com/@DailyAIWizard#AIatWork #Season3Recap #ArtificialIntelligence #DailyAIWizardWatch the video: https://www.youtube.com/watch?v=fEcMgPJ9iNQ
Four engineers put a 14-year-old monolith on trial. Anastasia — ten years deep in microservices — has to defend it. Oliver brings the receipts from a bank that spent eighteen months and millions tearing theirs apart. Olga finds the crack. Sophia asks the question that reframes the whole thing.Nobody writes "it depends" on their card.ON TRIAL is a recurring software debate, argued like a courtroom. #softwarearchitecture #monolith #microservices #systemdesign #softwareengineering #devops #techdebtWatch the video: https://www.youtube.com/watch?v=Hn9ea9hYsOs
We connected a blockchain to a power plant control system. Real generation infrastructure on the other end. This is the defendant putting himself on trial — a certified smart-contract developer, defending the one thing he can't be objective about.Then the business analyst asks four words: "Who couldn't trust whom?" — and there's no answer, because everyone already trusted the grid operator. Regulated by law. A trusted third party, sitting right there the whole time.It went to production. It worked. Two years later someone replaced it with a Postgres table in six weeks. Nothing broke. It got faster. He found out from a conference talk. Someone else's.The engineering was never the problem.ON TRIAL is a recurring software debate, argued like a courtroom. One defendant, three questioners, no hedging, no "it depends."#blockchain #softwarearchitecture #systemdesign #softwareengineering #distributedsystems #devopsWatch the video: https://www.youtube.com/watch?v=zuqHfAPm4O8
"Reduced deployment time by a third." "Lowered defects by a quarter." "Made data exchange 40% more efficient." Oliver read three numbers off his own CV and asked the panel to audit them, out loud, on camera.Olga asks the only question that matters: measured when, under what load, by whom — and before or after you knew the number you wanted? Then the room implicates itself. Sophia receives these numbers as facts in requirements documents. Anastasia admits she's written them. This isn't him. It's all of us.And the confession is worse than a lie: he thinks the number's roughly right. He just can't prove it. The measurement's gone, the system's gone, the person who ran it left in 2019. It's not a lie — it's something he can't tell apart from one. And he's been paid on it for six years.ON TRIAL is a recurring software debate, argued like a courtroom.#softwareengineering #techdebt #systemdesign #softwarearchitecture #career #programmingWatch the video: https://www.youtube.com/watch?v=hcwCsedEQaM
New format. For three episodes, Olga asked the questions — "written by whom?", "who else can run it?", "how do you test this?" This week she brings the case, Oliver rules on it, and then Anastasia and Sophia rule on whether Oliver judged honestly or just enjoyed it.Her case: she used to test [SYSTEM] by hand, every release. So she automated it — on her own time, because nobody was going to budget it — and cut it from [MANUAL] to [AUTO]. Genuinely smart. Genuinely right.Then the room turns her own questions on her. Written by whom? Her. Maintained by whom? Her. Who else can run it? ...Just her. To stop being the bottleneck, she built a second machine only she can operate — and automated the known checks, not the suspicion that made her good. The woman who never trusted a green checkmark built one.Everything hinges on one question: the time you saved — what did you do with it?ON TRIAL is a recurring software debate, argued like a courtroom.#softwaretesting #qa #testautomation #softwareengineering #engineeringculture #systemdesign #devopsWatch the video: https://www.youtube.com/watch?v=31czeKsM2gk