Skills Baseline

In episode 8 of the Skills Baseline, Kian and Konrad explore the challenges and strategies of managing a cross-functional data science team, the hiring process for data scientists, and effective communication between technical and non-technical members. They also discuss the importance of building trust within the team and keeping up to date with industry trends.

In this episode of the Skill Baseline podcast, Kian interviews Andrew Ng about his checklist for success, hiring world-class AI teams, learning velocity and the opportunity for individuals and businesses to build custom AI systems.

Ujwal Chejerla director, AI/ML COE joins Kian to discuss how he makes the skills of his workforce the competitive advantage, and the importance of measuring upskilling progress through setting learning OKRs and T-shaped career paths. 

In episode 5 of The Skills Baseline as Kian chats with Mario Maffie, Corporate CIO & VP at Mars. They talk about the critical role of skill insights and intelligence in digital transformation, not letting scale limit your experimentation, and share ideas on what business markers to use when measuring the impact of upskilling.

Shelley talks with Kian about investing in true development cycles and our current talent through development conversations and targeted upskilling.

Walid Mehanna, Group Data Officer at Merck KGaA Darmstadt Germany, sits down with Kian to discuss all things data. They chat about the current state of tech upskilling, why Walid believes people are the most crucial component at the heart of a successful data strategy, and the key tools he uses to drive upskilling initiatives.

Ashley Fernandez joins Kian to discuss why he believes it’s important to data-fy everything and how he implemented this mindset at Maxis. He talks about how assessments and benchmarking can significantly shorten onboarding and how facilitating mentorship relationships helps his team to stay at the cutting edge of technology.

In this episode, Fernando Lucini discusses why he believes the current one-size-fits-all approach toward learning resources doesn’t work. He talks about why the lack of proper measurement and guidance means organizations aren’t getting the value they think they are.