TrueNorth: The Python People Podcast

Peter Voss is one of the most eminent thought leaders in the world of CognitiveAI today. His long and rich background in this field has made him a revered authority on the subject. Peter has dedicated his career to realising AGI 'Artificial General Intelligence'. He is even responsible for coining the term AGI alongside others in 2002. In this episode, Peter and I discuss how close we are to actually creating AGI and how the CognitiveAI approach is viewed in relation to the GenerativeAI approach in the business and academic world today. Peter shares his incredibly insightful knowledge on these matters, including how he predicts the future of AI will look. A must listen episode!

Callum is the Head of Data Products for M&S food. In this episode, Callum talks us through his interesting route into Data Leadership and what it takes to structure a Data division for success.

In this episode, we speak to Gerardo Lemus, Head of Data Science for LanternAI. Lantern is a pioneering platform that enables GPs to unlock the power of private equity data and accelerate their route to insight. We discuss Gerardo's career path as a data leader and whats next for Lantern.

Mike Holmes is a highly respected data and analytics leader, specialising in predictive modelling and credit risk management. Mike has taken Senior Data Leadership positions for companies such as Provenir and Kriya (Formerly MarketFinance). Over his career, he's embedded over 60 models, enterprise-wide, which have made millions of decisions across over £70bn of assets. In this episode, Mike and I discuss his journey as Data leader thus far and his key learns along the way.

Kraig is a highly respected Data and Technology leader, currently Chief Data Scientist at InsurTech company, Concirrus. In this episode we discuss Kraig's incredibly interesting background and story of how he got into tech and explore his approach to tech leadership.

Matt is a highly revered tech leader, having taken senior data positions in companies such as Elsevier. He then went on to establish his own tech start-up. In this episode Matt and I discuss the rise of generative AI and large language models, and their implications for business and society.

Dmitri is the Director of AI at Connex One, in this episode we discuss his approach to Data Leadership.

This week we were joined by Matthew Lee, Principal Data Scientist at Sonrai Analytics: In this episode, we discuss: ✅ How Data Science can be applied to improving biomedical landscape ✅ Exciting trends in Data Science ✅ Parallels / interesting crossovers between the Biotech sector and other industries

This week we were joined by Abed Ajraou Executive Partner Data and Analytics at Gartner In this episode, we discuss: ✅ Approaches to building and scaling Data teams ✅ Exciting trends in Data Science ✅ Biggest challenges faced as a Data Leader

This week we were joined by Head of Data Science for IG Group, Dr Akinola Akinyemi. In this episode, we discuss: ✅ How to ensure a Data Science function demonstrates value to the business? ✅ How to best structure Data Science teams for value ✅ Most exciting trends in Data Science

This week we were joined by Data leader and Entrepreneur, Paulo Coelho Mendes Bueno Barbosa. In this episode, we discuss: ✅ Exciting trends in Data Science currently ✅ Approaches to build and scale Data teams ✅ How to solve big open ended problems with Data focused approach

🚀🚀 The Python People Podcast 🚀🚀 In this episode, we discuss: ✅ The relationship between Academia and the commercial world / entrepreneurship ✅ Approaches to build and scale Data teams: pre and post pandemic ✅ What are the biggest challenges faced as an entrepreneur

🚀🚀 The Python People Podcast 🚀🚀 We discuss: ✅ The Syndi Health story ✅ Mental Health in today's culture ✅ The greatest lessons learned as an Entrepreneur ✅ Biggest trends in Digital Health ✅ What are the biggest challenges growing a HealthTech start-up?

🚀🚀 The Python People Podcast 🚀🚀 We discuss: ✅ Valuable traits of a leader ✅ How to deal with failure ✅ The greatest lessons learned in management ✅ How to safeguard mental health ✅ How to ensure diversity ✅ The culture of the company, remote vs onsite

🚀🚀 The Python People Podcast is back! - Season 2 officially has kicked off! 🚀🚀 Happy Friday! In this week’s episode we were joined by Alexey Morgunov, Head of Machine Learning at Fluid Analytics. We discuss: ✅ How Data Science can be applied to the Molecular Sciences ✅ Exciting applications of machine learning in the world of Biotech ✅ The relationship between R&D and demonstrating real world value for the business ✅ Methodologies to successfully execute a Data Science projects ✅Parallels crossovers between the Biotech sector and other industries ✅ Exciting use cases of the application of machine learning in other sectors ✅ Important wider business factors to consider to ensure the success of a Data Science function within a business

The Python People Podcast - Rolf Britten - Data Science in Actuarial & Pricing In this week’s episode we were joined by Rolf Britten, Pricing Lead for Direct Line Group. We discuss: ✅What value can an Actuarial qualification demonstrate in a non-actuarial/data science role ✅What can Data Science learn from Actuarial Science ✅How Data Science can be applied to insurance pricing models ✅What exciting other applications of Data Science exist in the wider Insurance sector in general ✅ The relationship between R&D and the to need to demonstrate real world value ✅The biggest mistakes you see being made insurance companies in their Data Science practices ✅The most important traits when hiring for quality Data Scientists

🚀🚀 The Python People Podcast 🚀🚀 This week we were joined by Kamil Tylinski, Data Science Manager for leading legaltech firm, Mishcon De Reya. In this episode, we discuss: ✅ How Data Science can be applied to the Legal sector ✅ Exciting applications of NLP in the world of law ✅ The relationship between R&D and real world value for the business ✅ Methodologies used to successfully execute a Data Science projects ✅ Parallels and crossovers between the legal sector and other industries ✅ What characteristics / traits to look for when hiring potential new employees ✅ Biggest mistakes made by law firms in their DS practices ✅ Wider business factors to consider to ensure the success of a Data Science function within a business

This week we were joined by Philipp Deutsch, Head of Data Science for Capricorn Capital Partners UK. In his role Philipp advises on Data Science strategy and initiatives across a number of different companies within Capricorn’s portfolio. Giving him a truly unique perspective when it comes to assessing the similarities and differences in companies’ data initiatives. In this episode, we discuss: ✅ Phil’s experience of Data Science in the Private Equity space? ✅ What hygiene factors are there to consider when embarking upon a data science initiative? ✅ What are the key indicators as to whether Machine Learning should be used? ✅ Methodologies used to successfully execute a Data Science projects? ✅ How do you go about creating a successful DS culture? ✅ What characteristics / traits to look for when hiring potential new employees? ✅ The Data Science & AI landscape moving forward?

This week we were joined by James Yorston, Head of Engineering. James is a technology leader with a very impressive track record of establishing technical teams in multiple start-ups over the years. He is very passionate about creating environments where technology professionals can thrive. In this new world we now live in, where remote working has fundamentally been proven to work, James and I discuss the importance of creating flexible work cultures moving forward. In this episode, we discuss: ✅ Why company culture is so important for attracting talent ✅ How to create a 'great engineering culture' ✅ What role the pandemic will play in shaping company culture moving forward ✅ Biggest pros and cons of remote vs in office working ✅ Why some companies don't embrace flexibility and remote working in their culture ✅ How to engage and motivate engineering teams ✅ What characteristics / traits to look for when hiring potential new employees ✅ The tech landscape moving forward

This week we were joined by Bhairav Patel, CTO of Atom Ventures. It was great fun talking to Bhairav and hearing more about his story. Bhairav is a technology leader with a very impressive track record of establishing technical teams in multiple different countries globally throughout his career. In this new world we now live in, the idea of colocated vs internationally distributed teams and the strategic use of external partners is now more of a hot topic than ever before. In this episode, Bhairav and I discuss: ✅ Growing technical functions in multiple locations globally and the fundamental differences in these locations ✅ The part cultural factors play in building International teams ✅ How to best manage International teams ✅ Advice for anyone looking to build out an international technology business ✅ How the UK tech market is looking in 2021 and beyond