The Data Scientist Podcast
By Stylianos Kampakis
Helping make data science and blockchain accessible to a non-technical audience.
The Data Scientist PodcastMar 12, 2023
Current state of AI ethics
On this podcast we explore the current state of AI ethics and regulation.
Make sure to go to http://thedatascientist.com for more content around data science
Predicting the unknown: The history and the future of AI and data science!
"Predicting the unknown: The history and the future of AI and data science!" is my new book on data science, which you can get from Amazon.
As a society, weβre in a constant struggle to control uncertainty and predict the unknown. Quite often, we think of scientific fields and theories as being separate from each other. But a more careful investigation can uncover the common thread that ties many of those together. From ChatGPT, to Amazonβs Alexa, to Appleβs Siri, data science, and computer science have become part of our lives. In the meantime, the demand for data scientists has grown, as the field has been increasingly called the βsexiest profession.β
This book attempts to specifically cover this gap in literature between data science, machine learning and artificial intelligence (AI). How was uncertainty approached historically, and how has it evolved since? What schools of thought exist in philosophy, mathematics, and engineering, and what role did they play in the development of data science? It uses the history of data science as a stepping stone to explain what the future might hold.
Predicting the Unknown provides the framework that will help you understand where AI is headed, and how to best prepare for the world thatβs coming in the next few years, both as a society and within a business. It is not technical and avoids equations or technical explanations, yet is written for the intellectually curious reader, and the technical expert interested in the historical details that can help contextualize how we got here.
Make sure to go to http://thedatascientist.com for more content on AI, data science and Web3.0
Short: AI ethics
On this short episode Dr Kampakis covers the latest news on AI ethics, and explains why all leaders and organisations should care.
Make sure to go to http://thedatascientist.com for more content around data science
Ryan Janssen on Large Language Models and AI
Ryan Janssen is the CEO of Zenlytic, merging LLMs, AI and business intelligence.
On this very interesting episode we talk about the power of LLMs, how a startup should approach LLM use, and what the future of AI holds!
Enjoy!
Make sure to go to thedatascientist.com for more content on AI, data science and Web3.0
Dr Kampakis and Dr Lewis on AI and org culture part 2!
Join Dr. Stylianos Kampakis and Dr. Clif Lewis, an organizational psychologist, in the much-awaited second installment of their discussion on AI and Organizational Culture.
This enriching conversation delves deeper into the transformative power of artificial intelligence and its profound implications on the fabric of modern-day businesses.
Make sure to go http://thedatascientist.com for more content on AI, data science and Web3.0
Christos Makridis on Generative AI and token economics!
AI and Web3.0 are changing everything about society and the way we live.
Christos Makridis happens to be at the forefront of research in both areas.
We had the change to jump on a fascinating discussion about how generative AI affects our working lives, before talking about web3.0 and the current state of tokenomics.
We hope you enjoy it!
About the guest
Christos serves as a Research Professor at the W. P. Carey School of Business and Research Affiliate at the Global Security Initiative (both in Arizona State University), an Adjunct Associate Research Scholar at the Chazen Institute in Columbia Business School, a Digital Fellow at the Digital Economy Lab in Stanford University, a Non-resident Fellow at the Institute for Religious Studies at Baylor University, an Adjunct Scholar at the Manhattan Institute, a Senior Adviser at Gallup, a policy adviser, and an entrepreneur.
He is the CEO/co-founder of Dainamic, a technology startup working to democratize the use and application of data science and AI techniques for small and mid sized organizations, and CTO/co-founder of Living Opera, a web3 startup working to bridge classical music and blockchain technologies.
Make sure to go to http://thedatascientist.com for more content around data science
Organisational culture and AI with Dr Clif Lewis: Episode 2
What are the critical strategies that can ensure organizations optimize benefits from AI? How can firms refrain from dismissing employees to enhance productivity, but rather, amplify their performance tenfold through AI tool application training? Join us as we delve into these topics and more with Dr. Clif Lewis in this installment of 'The Data Scientist' podcast!
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Podcast: Josh Bachynski on Artificial General Intelligence and AI ethics
Artificial General Intelligence (AGI) stands as the holy grail in the realm of artificial intelligence. AGI refers to a type of AI that possesses the ability to understand, learn, and apply knowledge across a broad array of tasks at a level equal to or beyond that of a human.
With this understanding, our quest then becomes deciphering the intrinsic nature of AGI and its fundamental prerequisites. Are large language models (LLMs) like GPT-3 sufficient to achieve AGI, or is there a different route to explore?
TEDx Talker, philosopher, and technologist Josh Bachynski provides intriguing perspectives on these profound questions.
Make sure to go to http://thedatascientist.com for more content around data science, AI and Web3.0
AI and organizational culture part 1 with Dr Clif Lewis
#AIΒ is creating profound challenges and opportunities for organisations.
At the centre of all this is organisational culture. In this series of short videos, me andΒ Dr Clif P Lewis ππ (he/him)Β are discussing the impact thatΒ #AIΒ is having on businesses and how to best adapt in this new environment.
One thing that has become clear in the last few years is that there are no certainties. Whether it'sΒ #hybridΒ vsΒ #remoteΒ vsΒ #office, orΒ #AIΒ vs humans, there are going to be winners and losers. And human dynamics are one of the keys to success.
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Make sure to go toΒ http://thedatascientist.comΒ for more content around data science, AI and blockchain.
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The tokenomics framework is published on the Journal of the British Blockchain Association!
I am very proud to announce that the tokenomics auditing framework is published by theΒ Journal of the British Blockchain Association.
Tokenomics, the study of token economies, is a rapidly evolving field that originated around 2017 with the growth of Ethereum and the possibilities it offered for creating tokens. This led to the generation of artificial economies with novel incentive alignment. By 2018, the significance of tokenomics in the Web 3.0 space was widely recognized, driving innovations in blockchain like DeFi, whether through successful lending and borrowing protocols or failed experiments like Terra/Luna.
AsΒ blockchain adoptionΒ expands, the focus in tokenomics is transitioning from simple utility designs to complex, interconnected economies. One emerging trend is tokenomics auditing, a practice that examines and suggests improvements toΒ token economyΒ designs, which often become too complex to evaluate in practice.
The rise of tokenomics auditing represents a step towards standardization in the field. While still somewhat subjective, there is a growing push to develop an objective, expert-approved auditing framework. This would provide a structure for auditors to follow and assess token economies based on uniform criteria.
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Make sure to go toΒ http://thedatascientist.comΒ for more content around data science, AI and blockchain.
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Podcast: Crypto/Web3.0 treasury management with Nik Pletikos
In the rapidly evolving world of Web3.0, managing a treasury effectively is crucial for the success and sustainability of decentralized projects. We discuss this and more with Nik Pletikos from Sweat Economy! Make sure to go toΒ http://thedatascientist.comΒ for more content around data science, AI and blockchain.
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Podcast: Democratizing Fine Art with Angelo Art, Fractionalization, and Blockchain
Angelo Art, a revolutionary platform, democratizes the fine art market by leveraging blockchain technology for fractionalization and tokenization. This process breaks down barriers to entry, making high-value art accessible to a wider range of investors. The platform creates a transparent, secure database for art transactions, combating the opacity long associated with the art world. Angelo Art's users can invest, collect, and support artists they believe in, tapping into the $68 billion annual fine art market. As blockchain technology evolves, its applications could extend beyond art, impacting traditional assets like real estate and fine wine. Angelo Art showcases the potential of blockchain to disrupt industries and make once-exclusive investments accessible to all. http://angelo.app
Make sure to go toΒ http://thedatascientist.comΒ for more content around data science, AI and blockchain.
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Luca Bazzuro on tokenomics, DAOs, and more!
Tokenomics refers to the economic and incentive system built into a cryptocurrency or blockchain project. It involves designing the distribution, supply, and usage of tokens in a way that promotes the health and growth of the project. Tokenomics can also include mechanisms for governing the project and for incentivizing stakeholders to participate in its development and use. Overall, the goal of tokenomics is to create a sustainable and valuable ecosystem around a cryptocurrency or blockchain project.
Tokenomics is a crucial aspect of the cryptocurrency and blockchain industry, as it plays a significant role in determining the success of a project. The design of the token economics should align with the goals and objectives of the project, while also ensuring that the incentives are balanced and fair for all stakeholders.
On this podcast we discuss tokenomics and DAOs with Luca Bazzuro!
Make sure to go toΒ http://thedatascientist.comΒ for more content around data science, AI and blockchain.
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Podcast: Marcus Glowasz on data literacy and transformation for the c-suite
With AI getting adopted by every industry, leaders need to be able to understand what is the best way to go about data transformation.
Marcus Glowasz has dedicated his career to educating the c-suite on data, and on this podcast we discuss topics such as the best way to go about digital transformation, and what leaders need to know about AI.
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Make sure to go to http://thedatascientist.com for more content around data science, AI and blockchain.
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Podcast: Jon Cooke on data products, the data mesh and the data fabric
Why are data products important? Why is the data mesh the next evolution of data engineering paradigms? What is the data fabric? Β We discuss this and more on this podcast with data products expert Jon Cooke!Β
Make sure to go to http://thedatascientist.com for more content around data science, AI and blockchain.
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Podcast: ChatGPT and the future of AI with Mark van Rijmenam
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.
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McKinsey's state of AI for 2022
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. Β
We discuss more on this episode. Β https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2022-and-a-half-decade-in-review
Make sure to go to http://thedatascientist.com for more content around data science, AI and blockchain.
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Data science and AI in finance
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 financial institutions understand their customers better and provide them with financial services that are tailored to their needs. These technologies have also improved risk management in banks by predicting what might happen in the future based on past incidents.
Make sure to go to http://thedatascientist.com for more content around data science, AI and blockchain.
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Podcast: VR in data exploration
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 increasingly using VR to explore data. They use this to generate more insightful data visualizations and make it easier for the users to understand and interact with their data.
In this episode we discuss more with Jess and Jim!
Resources: https://business.penguinconnective.com/toolkits/xr-data-science/
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Make sure to go to http://thedatascientist.com for more content around data science, AI and blockchain.
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Podcast: Organisational culture in tech with Dr Clif Lewis
βThe culture at a startup is typically what attracts people to join and what keeps the startup going.β
βDelays in hiring those executives or the recruitment of the wrong people can lead to strategic drift, spiraling costs, and a dysfunctional culture.β
-Harvard Business Review
In a business environment plagued by uncertainty and an industry characterised by constant change, organisational culture offers a means of organising your tech company in a manner that creates both meaning and value.
On this episode we discuss more with Dr Clif Lewis
Make sure to go to http://thedatascientist.com for more content around data science, AI and blockchain.
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Podcast: Tom Burns on neural networks and general AI
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 such neural network is called the Hopfield network; its typical use case includes pattern recognition tasks. It has been around since the 1980s, but some recent discoveries place it under a new light.
On this podcast we discuss about the relationship between the Hopfield network, deep learning and what's next for General AI with Tom Burns, a PhD researchers based in Okinawa, Japan.
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Wanna become a data scientist? Book a call with my team: https://calendly.com/bill-beyondmachine
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Podcast: Kate Dudzik on AI ethics, product-led data science and more!
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 by studying cognitive sciences, before moving on data science. This has given her a unique perspective on various things that more traditionally oriented data scientists might miss.
On this podcast we discuss more about these topics.
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Wanna become a data scientist? Book a call with my team: https://calendly.com/bill-beyondmachine
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Make sure to go to http://thedatascientist.com for more content around data science, AI and blockchain.
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Predicting customer churn
Customer churn is a major concern for any business. It is the process of customers leaving their service provider for a competitorβs 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
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Wanna become a data scientist? Book a call with my team: https://calendly.com/bill-beyondmachine
************************
Make sure to go to http://thedatascientist.com for more content around data science, AI and blockchain.
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How to ensure token appreciation: Reflections on the equation of exchange
Tokenomics is the study of token usage and the effects of a tokenβs 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 useful tool, and how it can be used in practice.
Read the original post: https://thedatascientist.com/token-appreciation-reflections-equation-exchange/
Make sure to go to http://thedatascientist.com for more content around data science, AI and blockchain.
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Podcast: Announcing the new data maturity short course with Sameer Rahman and the Tesseract Academy
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/ Β
Make sure to go to http://thedatascientist.comββ for more content around data science, AI and blockchain.
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Data science and AI in marketing
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.Β
In this episode I explain more about my views on the topic, and what data science can offer to the world of marketing.
Make sure to go to http://thedatascientist.com for more content around data science, AI and blockchain.
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Deep learning: The truths, the myths and the future
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 computer vision, autonomous vehicle driving, voice recognition and natural language processing among others.
The use cases of deep learning are limitless.
On this episode we discuss more.
Podcast: Clay Hawkins on blockchain and the music industry
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.comββ for more content around data science, AI and blockchain. Β
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Podcast: Geospatial data, data science and more!
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 satellite imagery with AI technologies and proprietary algorithms to analyze the state of crops within farms and trees growing in forest stands to drive businesses and implement sustainable practices globally. The EOSDAβs mission is to preserve the Planet by equipping the decision-makers with the tools for tackling todayβs most urgent challenges. To find out more, visit the website: https://bit.ly/3OoYJ1R
Make sure to go to http://thedatascientist.comββ for more content around data science, AI and blockchain.
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State of the cryptomarket: Celsius, Three Arrows, Voyager Digital and the future of decentralisation
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.
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Michael Kelly on the current state of the cryptomarket
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.
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Sean Muller on enterprise AI adoption
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.comββ for more content around data science, AI and blockchain.
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TerraUSD, Algorithmic Stablecoins, BankX and the future of stablecoins
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. Β
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The economics of data businesses
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 interesting subject. This episode is based on a very interesting post by the Pivotal newsletter, written by Abraham Thomas.
Make sure to go to http://thedatascientist.comββ for more content around data science, AI and blockchain.
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Podcast: Auditing tokenomics
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
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The new business of AI
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. We discuss this on more podcast.
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Data Science, AI & Cybersecurity: Joint episode with Stanley Li and Sean Mahoney
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 episode, I am joined by Stanley Li and Sean Mahoney from Netswitch , as we get the change to discuss about the future of autonomous systems in cybersecurity.
Make sure to go to http://thedatascientist.comββ for more content around data science, AI and blockchain.
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Podcast: Game theory, tokenomics and more with Noah Healy
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.comββ for more content around data science, AI and blockchain.
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Anomaly detection in AI: The best path to adoption?
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.
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Podcast: The periodic table of data scientists
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 OβReilly called The Care and Feeding of Data Scientists that talks about the same topic.
Make sure to go to http://thedatascientist.comββ for more content around data science, AI and blockchain.
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Podcast: Punit Bhatia on data privacy
In this podcast, we will explore some of the most common questions that come up around data privacy and GDPR: what is personal information? What is a companyβs responsibility to its customers? How can a company make sure it has consent from the customer to use their personal information? How can startups and corporates best prepare for the new regulation that is looming on the horizon? Punit Bhatia shares his unique insights.
Podcast: Alessandra Scicchitano on the archaeology of 0 to 1
What makes a company successful? What separates the failed startups from the unicorns? Alessandra has decided to study this problem and is digging deep into some of the biggest tech companies like Slack, and Buffer, and the stories of how they came to be. If you are an entrepreneur, this episode is a must listen!
Make sure to go to http://thedatascientist.com
for more content around data science, AI and blockchain.
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Podcast: Mark Chillingworth on the future of the Chief Information Officers
The role of a CIO has changed significantly over the years as data has become more important to organizations' success. In the past, a CIO was responsible for the IT infrastructure and not much else. Nowadays, this is just one of many responsibilities that a CIO undertakes.
On this episode Mark Chillingworth comments on the current state of CIOs and what their future might bring.
Make sure to go to http://thedatascientist.comββ for more content around data science, AI and blockchain.
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Machine translation and entrepreneurship with Matija KovaΔ from Taia
What makes a business successful? What it's like to be an entrepreneur in post-Brexit UK? Matija Kovac has created and scaled a successful machine translation business. On this podcast he shares his valuable experiences. Β Make sure to go to http://thedatascientist.comββ for more content around data science, AI and blockchain.
Make sure to go to The Data Scientistββ for more content around data science, AI and blockchain.
Deep learning
Deep learning has been one of the most important discoveries in the history of AI. On this episode I am talking about this exciting technology, and why it is so important.
Make sure to go to The Data Scientistββ for more content around data science, AI and blockchain.
Business models in data science and AI
This is a recording of a presentation conducted for Cambridge University's Entrepreneurship Centre, where we discussed about the different business model options AI entrepreneurs have. Β
Make sure to go to http://thedatascientist.comββ for more content around data science, AI and blockchain.Β
Podcast: Blockchain analytics with Freddy Zwanzger
Blockchain and data science are two of the hottest technologies right now. It is not often that you hear about both of them being used in tandem.
However, one company is doing exactly that. I had the chance to interview Freddy Zwanzger from Anyblock Analytics. Anyblock Analytics allows anyone to analyse data from various blockchains, through their API. This is fascinating for anyone who wants to dig deep into the blockchain, and discover interesting patterns. This can be anything, from crypto trading, to decentralised finance.
Make sure to go to The Data Scientistββ for more content around data science, AI and blockchain.
How can organisations adopt AI?
Everyone's talking about AI, but very few are actually doing it. On this episode, I share some thoughts about how organisations can adopt AI more easily and discuss some best practices in this area.
Make sure to go to The Data Scientistββ for more content around data science, AI and blockchain.
Podcast interview: Low-code, no-code, and AI with Andy Zambito from Creatio.com
Is no-code and low-code the future of tech? On this episode we discuss this topic, and many more (such as whether Austin Texas will overtake the Sillicon Valley) with Andy Zambito from Creatio. Β
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Interview with Curtis Boyd: Becoming a data scientist and classifying fake reviews
Curtis Boyd went from earning minimum wage to becoming a data scientist, and running a company of 11 people! On this episode we are talking about this transition, what it takes to become a data scientist, and learn more about the challenge of classifying fake reviews using machine learning. Β
Make sure to go to The Data Scientistββ for more content around data science, AI and blockchain. Β