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.

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

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👔 IF YOU ARE A CEO CHECK OUT THE TESSERACT ACADEMY

http://tesseract.academy

👨‍🎓👩‍🎓 IF YOU WANT TO JOIN MY DATA SCIENCE BOOTCAMPS VISIT BEYOND MACHINE

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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.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 TESSERACT ACADEMY

http://tesseract.academy

👨‍🎓👩‍🎓 IF YOU WANT TO JOIN MY DATA SCIENCE BOOTCAMPS VISIT BEYOND MACHINE

https://beyond-machine.com/

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

Make sure to go to The Data Scientist​​ for more content around data science, AI and blockchain.

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

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.  

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

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

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

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.  

Make sure to go to The Data Scientist​​ for more content around data science, AI and blockchain.  

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.  

Make sure to go to The Data Scientist​​ for more content around data science, AI and blockchain.