The Data Scientist Podcast

Have you ever wondered what the future of AI holds? How will AI be used to transform the way we work and live? Mark van Rijmenam, a world-renowned AI expert, explores these questions and more on the Data Scientist podcast. Make sure to go to http://thedatascientist.com for more content around data science, AI and blockchain. 📈 FOLLOW ME ON INSTAGRAM https://www.instagram.com/stelios_thedatascient...

With the rapid advancement of artificial intelligence (AI) technology, many businesses are turning to AI to increase their efficiency and productivity. McKinsey's report on the state of AI for 2022 provides valuable insights into how AI will shape industries in the coming years.   We discuss more on this episode.   https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state...

Finance is an industry that has been disrupted by data science and AI. The finance industry is one of the most data-driven industries out there. Traditionally, financial institutions have relied heavily on human experts to make decisions about investments and loans. But now, with the help of data science and AI, the finance industry has been revolutionized. Data science and AI have helped financia...

Virtual reality, and augmented reality for data science Virtual reality (VR) is a computer-generated simulation of a three-dimensional image or environment that can be interacted with in a seemingly real or physical way by a person using special electronic equipment, such as virtual reality goggles. It is typically interactive, meaning the user can participate in the activity. Companies are increa...

“The culture at a startup is typically what attracts people to join and what keeps the startup going.” “Delays in hiring those executives or the recruitment of the wrong people can lead to strategic drift, spiraling costs, and a dysfunctional culture.” -Harvard Business Review In a business environment plagued by uncertainty and an industry characterised by constant change, organisational culture...

Neural networks are the backbone of deep learning, a branch of machine learning. Artificial intelligence (AI) is considered to be a subset of general AI. General artificial intelligence is the ability for a computer program to perform tasks that would otherwise require human intelligence or expertise. Neural networks work by filtering information and attempting to find patterns in that information...

One thing that has become clear in the last few years is that the soft parts of data science are becoming even more important. What do I mean by soft parts? I am referring to things such as AI ethics, or the interface between product and data science, which has given rise to what we call "product-led data science". Kate Dudzik has a very interesting background. Pretty much like I did, she started...

Customer churn is a major concern for any business. It is the process of customers leaving their service provider for a competitor’s service. Machine learning can be the solution to this problem. On this podcast we explore more. Go to https://thedatascientist.com/customer-churn-machine-learning-data-science-survival-analysis/ for the original post ************************ Wanna become a data scien...

Tokenomics is the study of token usage and the effects of a token’s design on its economics. Tokenomics is an important part of many blockchain projects because it ensures that the project has a sustainable business model that will make it profitable in the long-term. One of the most commonly used tools in this space is the equation of exchange. On this podcast, I share some thoughts about this us...

The Tesseract Academy is proud to announce a new course for executives in collaboration with Sameer Rahman on the topic of data strategy and data maturity: https://tesseract.academy/courses/data-maturity-and-data-strategy/   Make sure to go to http://thedatascientist.com​​ for more content around data science, AI and blockchain. 📈 FOLLOW ME ON INSTAGRAM  https://www.instagram.com/stelio...

Marketing is one of the most data heavy fields in the world. So, it only makes sense that data science can help extract massive value from marketing data. However, marketers are often not taking proper advantage of the opportunity that data science presents in their field.  In this episode I explain more about my views on the topic, and what data science can offer to the world of marketing. M...

Deep learning is a type of machine learning that can be used to make predictions from data. It is a subset of machine learning and it has been around for a few decades. In recent years, deep learning has made significant progress in many areas such as image recognition, speech recognition, natural language processing and translation. Deep Learning is used in many real-world applications such as co...

Clay Hawkins is the CEO of the Open Music Exchange https://ome.audio/ a company that is revolutionising the world of music through blockchain. On this podcast we discuss with Clay his views on what blockchain can do for musicians, and what the future holds for this space. Make sure to go to http://thedatascientist.com​​ for more content around data science, AI and blockchain.   📈 FOLLOW ME O...

Geospatial data analysis is an area that can bring a huge impact to agriculture, but it often doesn't get the attention it deserves. On this podcast, we discuss more with Lina from EOS Data Analytics. EOS Data Analytics provides Earth observation solutions for smart decision-making in 22+ industries, with the main focus on agriculture and forestry. The company combines data retrieved from satellit...

The cryptomarket is melting. Could decentralisation be the answer? We comment on this and more with Lance Parker from BankX . Make sure to go to http://thedatascientist.com for more content around data science, AI and blockchain. 📈 FOLLOW ME ON INSTAGRAM https://www.instagram.com/stelios_thedatascientist/ 🤖 FOLLOW ME ON TWITTER https://twitter.com/s_kampakis 👔 IF YOU ARE A CEO CHECK OUT THE TES...

What is the future of the crypto market? Are we in a bear market? Does data science have a role to play in blockchain? We discuss this and a lot more with Michael Kelly on this podcast! Make sure to go to http://thedatascientist.com for more content around data science, AI and blockchain. 📈 FOLLOW ME ON INSTAGRAM https://www.instagram.com/stelios_thedatascientist/ 🤖 FOLLOW ME ON TWITTER https://...

AI adoption for the enterprise is on the rise. The advantages of AI are clear - it can automate repetitive tasks, it can provide predictive insights to businesses and it can improve customer experience. Sean Muller is providing his insights about what enterprises are doing well, what not, and what challenges AI adoption is facing. Make sure to go to http://thedatascientist.com​​ for more content a...

This discussion was recorded on 11/5/2022. At the time of recording TerraUSD is crashing at is at $0.5. This is a discussion with Lance Parker from BankX https://bankx.io/ commenting on the current developments, and the future of algorithmic stablecoins.   Make sure to go to http://thedatascientist.com for more content around data science, AI and blockchain. 📈 FOLLOW ME ON INSTAGRAM https://...

Companies like Bloomberg , or Stats Perform are some of the best examples of data businesses. These companies collect, curate and then package data in a way that data can be used to create value in many different use cases. Creating a startup in this space is not something easy. Data businesses are peculiar, but when they work, they work very well and scale. On this podcast we discuss this very in...

Tokenomics is the study of how a token's design and implementation affects its ability to achieve its goal. I had the opportunity to design and execute the tokenomics audit of the BankX token . On this podcast, I discuss more about this topic and some lessons I learned from this project. I hope you enjoy it! https://youtu.be/KpfawToUSpQ Make sure to go to http://thedatascientist.com for more conte...

The business of AI is growing rapidly. In the next few years, it is expected that the AI market will grow to $60 billion. This growth is driven by a number of factors such as increased investment in research and development, increased demand for AI-powered products and services, and a shift in the way businesses operate. That being said, there many peculiarities to how AI is applied in business. W...

What does data science have to do with cybersecurity? Is AI the next big thing in cyberdefense? The cybersecurity industry is a $170 billion market, and this market size is only going to increase in the future. AI has largely been seen as a separate field to cybersecurity, but many people believe that it might actually be an integral part of the future of cyberdefense. On this exciting joint episo...

Noah Healy is a mathematician and data scientist who has developed his own version of game theory, and is applying this in the areas of tokenomics and blockchain. We discuss more on this very interesting episode! Make sure to go to http://thedatascientist.com​​ for more content around data science, AI and blockchain. 📈 FOLLOW ME ON INSTAGRAM https://www.instagram.com/stelios_thedatascientist/ 🤖...

Adopting AI is not always easy. However, there are different paths to adoption. Surprisingly, anomaly detection, which is one of the least recognised areas (but one of the most useful) of AI, can provide a path to adoption. Make sure to go to http://thedatascientist.com for more content around data science, AI and blockchain. 📈 FOLLOW ME ON INSTAGRAM https://www.instagram.com/stelios_thedatascien...

There are different types of data scientists, something which I have written extensively on my blog The Data Scientist . This is a topic that is particularly close to me, as I have discussed it in the past , but I am also talking about it on my workshops and seminars . On this episode, we are talking about an interesting report by O’Reilly called The Care and Feeding of Data Scientists that talks...