We discuss her journey as a leader at Specsavers, moving towards a federated Data model and how she is embracing AI in the real world. A must listen episode!

We also discuss Ben's approach to how to implement AI into the business in a clear and pragmatic way.

In this episode, we talk about Miles' career journey into the role of CTO and his approach to leadership in this super interesting area.

In this episode, Manasvita shares her highly interesting story and gives us some insight into the exciting work her department is doing at Harvard.

In this episode, I discuss with Luke the huge potential and wealth of possibilities for very interesting AI and ML use cases in this domain. As well as hearing more about his approach to leadership.

In this episode, Dilraj talks to me about many things including his leadership style, how you go about partnering with and engaging the business in to achieve optimum buy-in for Data Science initiatives, and how a company can effectively build a diverse and inclusive culture, to name a few. A truly great episode!

In this episode, Cornelia and I discuss her approach to creating and scaling these use cases and what resources and strategies she employs to successfully execute these initiatives. A highly insightful episode.

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!

In this episode, Mike and I discuss his journey as Data leader thus far and his key learns along the way.

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

In this episode, we discuss:

✅ Approaches to building and scaling Data teams

✅ Exciting trends in Data Science

✅ Biggest challenges faced as a Data Leader

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

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

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 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?

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

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

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

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

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?

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

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

In this episode, Stylianos and I discuss:

✅ How to demonstrate 'business value' from a Data Science function

✅ Most effective ways to inspire and manage teams

✅ What methodologies can be employed to successfully execute a Data Science projects

✅ How to create a successful DS culture

This week, I speak with the deeply inspiring Liana about her journey founding a company which is teaching children to code in a highly creative and unique way.

In this episode, Liana and I discuss:

✅ Why it is important for children to learn coding

✅ How Liana approaches this process

✅ The state of the curriculum taught in the majority of schools today

✅What more can parents be doing from home

✅Deep fakes and the landscape of AI in 2021 and beyond

This week, I speak with the incredibly interesting Carlos about his journey into Data Science. And we discuss being aware of bias in data.

In this episode, Carlos and I discuss:

✅Growing a data science function in a large organisation 

✅The role AI can play in customer experience within Financial Services

✅Bias that exists in the world and how this impacts our data

✅Deep fakes and the landscape of AI in 2021 and beyond

This week, I speak with the wonderful Natalia about her journey into Data Leadership. She share’s her experiences on what it takes to build a successful Data function with a start-up company.

In this episode, Natalia and I discuss:

✅Growing a data science function in a start-up

✅Most effective ways to inspire and manage teams

✅How do you ensure you keep teams evolving over time

✅The biggest mistakes made by companies in their DS practices

✅Optimal Team size and Structure

✅Traits of successful hires

✅The landscape of AI in FinTech in 2021 and beyond

Links to the full video and audio only versions of the Podcast in the first comment below.

#truenorth #fintech #datascience #machinelearning #ai

This week, I had a fascinating chat with David about the HealthTech world and how he successfully built and sold a Machine Learning based Healthcare business, sharing all the lessons he learned along the way.

In this episode, David and I discuss:

✅ How to evaluate the value proposition / validity of the business model for a Healthtech product

✅ Accountability of HealthTech companies to the end consumer

✅ The HealthTech customer experience, acquisition and retention

✅ The landscape of HealthTech in 2021 and beyond

This week, I had the pleasure of speaking with Will about how he has navigated the last 12 months as a leader through the turbulent times of the pandemic. 

In this episode, Will and I discuss:

✅ How the pandemic impacted companies's business models

✅ Effective ways to inspire and manage teams during periods of transition

✅   Key things to be aware of as a leader when pivoting focus

✅ Frameworks for guiding engineering teams in developing highly complex products

✅ How to create a successful 'engineering culture'

✅ The landscape for the Fintech world throughout 2021 and beyond