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The Data Scientist Podcast

The Data Scientist Podcast

By Stylianos Kampakis

This is the official podcast of The Data Scientist (http://thedatascientist) and the Tesseract Academy (http://tesseract.academy).

Helping make data science and blockchain accessible to a non-technical audience.
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Currently playing episode

Data Science, AI & Cybersecurity: Joint episode with Stanley Li and Sean Mahoney

The Data Scientist PodcastMar 10, 2022

00:00
23:22
Podcast: Generative AI in Design with Bence Csernak
Mar 09, 202421:07
Introducing TokenLab For Web3 and Tokenomics Simulations

Introducing TokenLab For Web3 and Tokenomics Simulations

Tokenomics is the most important part of any Web3 project.

TokenLabΒ is one of the best ways to simulate and stress test any kind of token economy. It is based upon the 6+ years of experience ofΒ Dr KampakisΒ in this area.

In this webinar, Dr Kampakis discusses topics such as:

1) What makes for a good token economy?

2) How can you stress test a token economy

3) How does TokenLab help you do all of the above?

Mar 03, 202410:37
Emmission curve for token economies
Feb 05, 202409:20
What you need to know about AI
Feb 03, 202409:15
AI in 2024: Predictions for the year ahead
Jan 05, 202410:41
Podcast: Generative AI and Synthetic Humans - Alex Uspenskyi from Elai.io
Nov 20, 202315:20
The Future of AI Ethics with Ali Uthman

The Future of AI Ethics with Ali Uthman

AI Ethics is one of the hottest areas in AI right now. Join us as we discuss with distinguised expert Ali Uthman about the current and future state of this exciting area!


About the guest

Ali Uthman is an AI Ethics and Policy Strategist, Board Member, Advisor, and Speaker

Ali Uthman is deeply committed to fostering the ethical and responsible adoption of artificial intelligence, aiming to harness its potential for the greater good of humanity. With expertise in AI ethics, digital policy, human rights law, and strategic partnership development, he is dedicated to steering transformative change through thoughtful leadership and guidance.



Join us at The Data Scientist for more content on AI, data science and Web3 !

Nov 08, 202321:11
The State of AI in 2023

The State of AI in 2023

What is the current stage of AI? In this video, we discuss McKinsey's report on the progress of AI across industries. Make sure to go to https://thedatascientist.com for more content on AI, data science and Web3.0 About Dr Kampakis Dr Stylianos (Stelios) Kampakis is a data scientist and tokenomics expert with more than 10 years of experience. He has worked with companies of all sizes: from startups to organisations like the US Navy, Vodafone and British Land. His work expands multiple sectors including fintech, sports analytics, health-tech, general AI, medical statistics, predictive maintenance and others. He has worked with many different types of technologies, from statistical models, to deep learning, to large language models. He has 2 patents pending to his name, and has published 3 books on data science, AI and data strategy. He has helped many people follow a career in data science and technology. His seminal work in token economics has led to many successful token economic designs using tools such as agent based modelling and game theory. He is a member of the Royal Statistical Society, honorary research fellow at the UCL Centre for Blockchain Technologies, a data science advisor for London Business School and CEO of The Tesseract Academy. πŸ€– http://tesseract.academy πŸ€– http://thedatascientist.com πŸ€– http://beyond-machine.com πŸ€– https://www.instagram.com/stelios_thedatascientist/ πŸ€– https://twitter.com/s_kampakis #AI #ai #data #datascience #dataanalytics #datanalytics #analytics #artificial_intelligence #bigdata #tokenomics #web3.0 #web3 #blockchain #crypto

Oct 07, 202307:16
The future of data engineering and data pipelines
Sep 29, 202322:58
Current state of AI ethics
Sep 16, 202308:27
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!

"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, we’re 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 Amazon’s Alexa, to Apple’s 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 β€œsexiest profession.”


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 that’s 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

Sep 05, 202308:01
Short: AI ethics

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


Aug 30, 202304:31
Ryan Janssen on Large Language Models and AI
Aug 06, 202323:37
Dr Kampakis and Dr Lewis on AI and org culture part 2!
Jul 31, 202320:24
Christos Makridis on Generative AI and token economics!

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

Jul 26, 202318:30
Organisational culture and AI with Dr Clif Lewis: Episode 2

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!

***************** Make sure to go to http://thedatascientist.com for more content around data science, AI and blockchain.

Jul 04, 202320:30
Podcast: Josh Bachynski on Artificial General Intelligence and AI ethics

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

Jul 02, 202344:59
AI and organizational culture part 1 with Dr Clif Lewis

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 and Dr Clif P Lewis 🍎🍊 (he/him) are discussing the impact that #AI 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.


*****************

Make sure to go toΒ http://thedatascientist.comΒ for more content around data science, AI and blockchain.

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Jun 25, 202311:19
The tokenomics framework is published on the Journal of the British Blockchain Association!

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.


*****************

Make sure to go toΒ http://thedatascientist.comΒ for more content around data science, AI and blockchain.

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Jun 11, 202308:01
Podcast: Crypto/Web3.0 treasury management with Nik Pletikos
May 07, 202315:41
Podcast: Democratizing Fine Art with Angelo Art, Fractionalization, and Blockchain
Apr 21, 202315:54
Luca Bazzuro on tokenomics, DAOs, and more!

Luca Bazzuro on tokenomics, DAOs, and more!

Mar 27, 202318:34
Podcast: Marcus Glowasz on data literacy and transformation for the c-suite

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.

******************************

Make sure to go to http://thedatascientist.com for more content around data science, AI and blockchain.

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Mar 12, 202315:24
Podcast: Jon Cooke on data products, the data mesh and the data fabric
Feb 12, 202316:03
Podcast: ChatGPT and the future of AI with Mark van Rijmenam
Jan 30, 202317:36
McKinsey's state of AI for 2022

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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Jan 11, 202312:48
Data science and AI in finance
Dec 19, 202209:29
Podcast: VR in data exploration

Podcast: VR in data exploration

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 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/

**********************

Make sure to go to http://thedatascientist.com for more content around data science, AI and blockchain.

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Dec 08, 202223:37
Podcast: Organisational culture in tech with Dr Clif Lewis

Podcast: Organisational culture in tech with Dr Clif Lewis

β€œThe culture at a startup is typically what attracts people to join and what keeps the startup going.”

β€œDelays 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 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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Nov 13, 202221:04
Podcast: Tom Burns on neural networks and general AI

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

************************

Make sure to go to http://thedatascientist.com for more content around data science, AI and blockchain.

πŸ“ˆ FOLLOW ME ON INSTAGRAM

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Oct 31, 202218:37
Podcast: Kate Dudzik on AI ethics, product-led data science and more!
Oct 03, 202224:21
Predicting customer churn

Predicting customer churn

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 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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Sep 30, 202208:58
How to ensure token appreciation: Reflections on the equation of exchange
Sep 19, 202208:48
Podcast: Announcing the new data maturity short course with Sameer Rahman and the Tesseract Academy

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.com​​ for more content around data science, AI and blockchain.

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Sep 17, 202204:38
Data science and AI in marketing
Sep 12, 202207:50
Deep learning: The truths, the myths and the future

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.

Aug 31, 202211:40
Podcast: Clay Hawkins on blockchain and the music industry

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.com​​ for more content around data science, AI and blockchain. Β 

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Jul 30, 202218:57
Podcast: Geospatial data, data science and more!

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 EOSDA’s mission is to preserve the Planet by equipping the decision-makers with the tools for tackling today’s most urgent challenges. To find out more, visit the website: https://bit.ly/3OoYJ1R

Make sure to go to http://thedatascientist.com​​ for more content around data science, AI and blockchain.

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Jul 25, 202218:42
State of the cryptomarket: Celsius, Three Arrows, Voyager Digital and the future of decentralisation

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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Jul 15, 202215:56
Michael Kelly on the current state of the cryptomarket

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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Jun 20, 202214:42
Sean Muller on enterprise AI adoption

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.com​​ for more content around data science, AI and blockchain.

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May 25, 202224:17
TerraUSD, Algorithmic Stablecoins, BankX and the future of stablecoins

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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May 13, 202225:17
The economics of data businesses

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.


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Apr 13, 202210:15
Podcast: Auditing tokenomics

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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Apr 13, 202210:34
The new business of AI

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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Mar 24, 202210:32
Data Science, AI & Cybersecurity: Joint episode with Stanley Li and Sean Mahoney
Mar 10, 202223:22
Podcast: Game theory, tokenomics and more with Noah Healy

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!

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Feb 19, 202215:16
Anomaly detection in AI: The best path to adoption?
Jan 27, 202208:43
Podcast: The periodic table of data scientists

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 O’Reilly called The Care and Feeding of Data Scientists that talks about the same topic.


Make sure to go to http://thedatascientist.com​​ for more content around data science, AI and blockchain.

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Jan 05, 202208:06
Podcast: Punit Bhatia on data privacy

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 company’s 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.


Nov 30, 202121:14