All Episodes
Displaying 31 - 60 of 63 in total
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 ...
Episode 17: How to Avoid an AI Scandal
AI technology has now reached the point where it can potentially damage the reputation of an organisation, if improperly managed. As a result, many data scientists are...
Episode 16: Improving the Data Science Customer Experience
The launch of Chat-GPT turned the business world upside down and left many people wondering about the future of their careers. How do you compete against AI? One solut...
Episode 15: Graph-Powered Data Science
From social media to electricity grids and the internet itself, we live in a highly interconnected world. But traditional data science techniques don’t adequately allo...
Episode 14: Building Your Authority in Data Science
Data science is an in-demand skill. Yet, many data scientists find it challenging to get started in the industry and to differentiate themselves from other data scient...
Episode 13: Breeding Data Science Unicorns
“Data science unicorns” are those rare people who “understand the (data) problem they seek to resolve, have the mathematical expertise to analyse the problem and posse...
Episode 12: The Role of Data in Environmental Justice
Are you familiar with “environmental justice”? It’s all about equitable access to environmental amenities and the equitable distribution of pollution, and has its root...
Episode 11: Better Workplace Conversations for Data Scientists
Data scientists are constantly being told of the importance of effective communication for their career success. But this advice typically translates to being able to ...
Episode 10: ChatGPT and the Future of Human Computer Interaction
In December 2022, OpenAI released ChatGPT for public testing and within a week of its launch, the user count exceeded 1 million. For many, ChatGPT provided a first gli...
Episode 9: Learning Data Science at Scale with OMSCS
What if you could get a Masters degree in Machine Learning for under US$8000, from a top US university, without quitting your day job or moving location? Georgia Tech’...
Episode 8: Data Science in the Metaverse
Ever since Facebook rebranded itself as Meta, the term “metaverse” has entered everyone’s vocabulary, but there’s still a lot of confusion about what it actually is an...
Episode 7: Finding and Retaining the Best Data Talent
Over the past decade, demand for data talent has grown exponentially, and this has had a massive impact on talent acquision in the data space. Employers of data profes...
Episode 6: Bridging the Chasm Between Data Science and Engineering
The success of data science projects often depends on being able to get stakeholders, from a variety of backgrounds, to work well together. But what if the stakeholder...
Episode 5: Identifying Data Science Use Cases for your Business
Businesses rarely approach data scientists with well-defined problems to solve. Sometimes, the problems businesses devise aren’t appropriate for solving using data sci...
Episode 4: The Role of the Board in Maximising the Value of Data
Have you ever wondered what your organisation’s Board are thinking, when it comes to data use? In this episode, Dr Genevieve Hayes is joined by Dr Stuart Black to disc...
