Genevieve Hayes
Appears in 78 Episodes
Episode 48: Overcoming the Machine Learning Deployment Challenge
It’s been 12 years since Thomas H Davenport and DJ Patil first declared data science to be “the sexiest job of the 21st century” and in that time a lot has changed. Un...
Episode 47: Leveraging Causal Inference to Drive Business Value in Data Science
For most people, data science is synonymous with machine learning, and many see the role of the data scientist as simply being to build predictive models. Yet, predict...
Episode 46: Empowering Democracy with LLMs
With all the reports about the spread of misinformation and disinformation on social media, sometimes it feels like one of the biggest threats to democracy is technolo...
Episode 45: AI-Powered Investment Insights
Succeeding in stock market investing is all about timing – buying low, selling high and being able to read the signs to determine when things are going to change. But ...
Episode 44: Designing Data Products People Actually Want to Use
As a data scientist, there’s nothing worse than devoting months of your time to building a data product that appears to meet your stakeholders’ every need, only to fin...
Episode 43: Shaping the Future of AI
Two years ago, no one could imagine the impact generative AI would have on our world, and most of us can’t even begin to imagine the impact the next generation of AI w...
Episode 42: Should You Outsource Your Data Team?
Chances are, you’re reading this summary on a device you didn’t build yourself. Why would you? Tech companies can build you a far better device for a much lower cost t...
Episode 41: Building Better AI Apps with Knowledge Graphs and RAG
When ChatGPT was first released, there was talk it would lead to traditional search engines, like Google, soon becoming obsolete. That was until users discovered gener...
Episode 40: Making Data Science Teams Profitable
For many people, data science is synonymous with machine learning and many data science courses are little more than overviews of the most used machine learning algori...
Episode 39: The Impact of Data Science on Data Orchestration
One of the big promises of data science is its ability to combine multiple disparate datasets to produce value-creating insights. But this is only possible if you can ...
Episode 38 – The Art and Science of Survey Design
From BuzzFeed Quizzes to the national census, it’s impossible to get through life without encountering surveys. However, not all surveys are created equal. As with eve...
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...
