Twice weekly, I share proven strategies to help data scientists get noticed, promoted, and valued. No theory — just practical steps to transform your technical expertise into business impact and the freedom to call your own shots.
AI AND humans. Not AI OR humans.
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When the AI wave first hit, it was all about chatbots, and tech CEOs promised a future where humans and AI would work together to deliver better outcomes than humans could manage alone. Then, as AI progressively became better, businesses started to question whether they needed human workers at all, and the first wave of AI-driven redundancies hit. The tech CEOs suddenly started changing their tune and began warning of the impending white-collar job-pocalypse, especially following the advent of AI agents. But something interesting happened on the way to the future. It turned out that AI agents aren’t cheap and that experienced humans are capable of insights AI can’t manage alone. Businesses that had previously fired human staff in favour of AI quietly started hiring the humans back, and the tech CEOs’ tune changed once again. So now we’re back where we started, with AI and humans working together once again, but with technology vastly superior to what it was when the cycle first began. Victor Coimbra has seen this future up close. As Partner and CTO at Artefact, the world’s largest pure-play AI consulting firm, he has helped global enterprises build what he calls hybrid agentic organisations - where humans provide the judgment, creativity, and context while AI agents provide the speed, memory, and execution power. In the latest episode of Value Driven Data Science, Victor joins me to share what hybrid agentic organisations actually look like in practice, and what data scientists need to do to position themselves at the centre of them. You’ll discover:
The future of work isn’t AI OR humans. It’s AI AND humans. Listen now on Apple Podcasts or Spotify, or click the link below: Episode 121: What Hybrid Agentic AI Organisations Mean for Data Science Talk again soon, Dr Genevieve Hayes |
Data Science Impact Algorithm
Twice weekly, I share proven strategies to help data scientists get noticed, promoted, and valued. No theory — just practical steps to transform your technical expertise into business impact and the freedom to call your own shots.
One of the most frustrating things about working with AI is when you get to the point where it seems like Claude or ChatGPT or your AI tool of choice really understands you and the way you work - and then all of a sudden it doesn’t. It’s like training a new graduate to be useful at their job, only to be told they’ve moved to another role and you have to start again, training someone else. This is annoying enough when dealing with AI chatbots. But, when building AI systems, it can be...
Earlier this month, Anthropic launched the Claude Frontier Academy, a program designed to train engineers to change how businesses run using agentic AI. The announcement reads as a clear signal that AI models alone aren't enough to create business value and that people are still essential for this technology to succeed. I couldn't agree more. The program's target profile makes this point even clearer. Anthropic wants engineers with strong technical skills, but also "experience helping others...
The first course I had to take as part of my computer science Master’s was a compulsory course on algorithms. Regardless of whether you were a data scientist, like myself, specialising in machine learning, or a software engineer specialising in computer systems, everyone had to take it - and for good reason. Because algorithms are the building blocks of everything technology professionals do, much like how protein bases are the building blocks for all things biological. The AI era hasn’t...