All Episodes
Displaying 41 - 60 of 77 in total
Episode 37: Data Privacy in the Age of AI
Most people have come to accept that the price of living in a technological world, and its associated convenience, is some loss of data privacy. However, few realise j...
Episode 36: Sequential Decision Problems
Decision-making is an essential part of everyday life and one of the main applications of data science is making the decision-making process easier.However, mostly whe...
Episode 35: Data-Driven Podcasting
According to the Interview Valet 2023 State of Podcast Guesting Annual Report, there are over 380,000 active podcasts in the world right now, with the average podcast ...
Episode 34: Financial Modelling for Start-Up Founders
Start-ups and data science go hand in hand, but usually when people think about how data science can help start-ups, it’s with regard to product development and enhanc...
Episode 33: Making the Shift from Data Scientist to Datapreneur
Data science is among the most in-demand skills of the 21st century, with opportunities existing for data scientists to make a difference and earn good money as an emp...
Episode 32: Blockchain and Cryptocurrency for Data Science
Depending on who you speak to blockchain and cryptocurrency are either the way of the future or the scam of the century. But few would be able to tell you what either ...
Episode 31: The Business Leader as Data Consumer
When data science first became the must-have skill of the 21st century, organisations were fighting to recruit the best and brightest data science talent. But the glor...
Episode 30: Cause and Effect Data Science
Correlation does not equal causation, as anyone who has studied statistics or data science would know. But understanding causality isn’t just important when you’re dev...
Episode 29: Creating Order From Data Chaos
The insurance sector owes its existence to data and insurers were some of the first companies to utilise data expertise. Yet, being an early adopter isn’t always as gr...
Episode 28: The Data Science Behind ChatGPT
ChatGPT was one of the best things to ever happen to data science – not so much because of what it can do, but because, virtually overnight, it made AI and data scienc...
Episode 27: The Future of Technology in Financial Services
Despite its conservative reputation, the financial services industry has always been a big adopter of cutting-edge technologies. Dating back more than a century, it’s ...
Episode 26: Data Storytelling and Data-Informed Education
Data science is only useful if it can create value. And one way that value can be created is by using data to influence decision-making. Yet, to influence decisions, d...
Episode 25: The Risks of Applying Data Science to Financial Modelling
Pretty much everyone has a retirement plan, but those plans aren’t always robust enough to see you through to the finish line of life. And part of that is a direct con...
Episode 24: AI and IP
If you look at the list of the greatest inventions of the 20th century, you’ll find they all have two things in common. From tea bags to toasters and from cell phones ...
Episode 23: Reinforcement Learning – The Other Type of Machine Learning
Most Intro to Machine Learning courses cover supervised learning and unsupervised learning. But did you know there is also a third type of machine learning, which was ...
Episode 22: Software Engineering for Data Science
Data science sits at the intersection of Computer Science and Statistics, so it comes as no surprise that many of the best data scientists have a computer science or s...
Episode 21: Responsible Data Sourcing for AI Model Building
The saying goes that if you’re not paying for the product, then you are the product. And every time you interact with the digital world, there’s a good chance your dat...
Episode 20: Using Data Science to Live Better for Longer
We all want to live long, happy and healthy lives, and in the age of technology, it comes as little surprise that people are turning to data for help.Between smart wat...
Episode 19: The Democratisation of AI and Data Science
Once upon a time, data scientists needed to develop programming skills to rival those of software engineers, and this limited the ability of people without such skills...
Episode 18: Making AI Commercially Viable
Many data scientists dream of using their skills to develop ground-breaking AI technology. Yet, few manage to translate their dreams into commercially viable products ...
