The debate about whether AI will replace human workers has already been settled - not by academics or futurists, but by the organisations that fired their humans, discovered AI couldn't do what they needed, and quietly hired them back. The future isn't AI replacing humans. It's humans and AI working together in ways that neither could manage alone.

In this episode, Victor Coimbra joins Dr Genevieve Hayes 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:

1. Why thinking of AI as a tool rather than a coworker is the mindset holding most organisations back [03:58]
2. The four archetypes that determine which tasks belong to humans and which to agents [08:17]
3. How AI is turning data scientists back into scientists [18:24]
4. The two skills that will define an indispensable data scientist in a hybrid organisation [27:01]

Guest Bio

Victor Coimbra is a Partner and CTO at Artefact, the world’s largest pure-play AI consulting firm and co-founded the firm’s Latin American operations. In 2024, he was recognised in the Forbes 30 Under 30 Brazil list for his outstanding contributions to AI innovation.

Links

• Connect with Victor on LinkedIn
• Artefact website
• Connect with Genevieve on LinkedIn
• Be among the first to hear about the release of each new podcast episode by signing up HERE

AI hallucinations get all the attention. But hallucinations are relatively easy to catch because the output is obviously wrong. The failure mode that should worry data scientists more is when the agent uses facts that are true to draw conclusions that are false, producing outputs that look perfectly fine. This is known as silent correctness.

In this Value Boost episode, Jia Huang joins Dr Genevieve Hayes to explore why silent correctness is the most dangerous failure mode in agentic AI systems and what data scientists can do to catch it before it causes serious harm.

You'll discover:

1. Why silent correctness is harder to catch than a hallucination [04:17]
2. Why sampling and auditing are non-negotiable in agentic systems [07:09]
3. Four techniques data scientists can use to catch silent failures [09:28]
4. The one safeguard every agentic AI system should have [11:10]

Guest Bio

Jia Huang is a lead research engineer at A*STAR, Singapore's Agency for Science, Technology and Research, and is the author of multiple books on AI engineering and agent design, including Designing AI Agents and RAG from First Principles. His work focuses on turning agentic AI from impressive demos into reliable, auditable, and value-producing engineering systems.

Links

• Connect with Jia on LinkedIn
• Follow Jia on Substack
• Agent Design Pattern Society (ADPS) website
• Jia's AI agent design position paper
• Connect with Genevieve on LinkedIn
• Be among the first to hear about the release of each new podcast episode by signing up HERE

The shift to agentic AI doesn't make data science skills obsolete. But it does require data scientists to rewire how they think about familiar concepts, such as uncertainty, model evaluation and accountability, in their work.

In this episode, Jia Huang joins Dr Genevieve Hayes to explore what that rewiring actually looks like, and why data scientists are better placed than almost any other profession to make it.

You'll discover:

1. Why data scientists are better prepared for the agentic AI era than they might think [03:00]
2. How the data scientist's role is shifting from analyst to system designer [06:37]
3. The three types of uncertainty in agentic AI systems [11:58]
4. Why context engineering is the new feature engineering [23:19]

Guest Bio

Jia Huang is a lead research engineer at A*STAR, Singapore's Agency for Science, Technology and Research, and is the author of multiple books on AI engineering and agent design, including Designing AI Agents and RAG from First Principles. His work focuses on turning agentic AI from impressive demos into reliable, auditable, and value-producing engineering systems.

Links

• Connect with Jia on LinkedIn
• Follow Jia on Substack
• Agent Design Pattern Society (ADPS) website
• Jia's AI agent design position paper
• Connect with Genevieve on LinkedIn
• Be among the first to hear about the release of each new podcast episode by signing up HERE