AI and art is an area that I am a huge fan of. This is why I am organising a Meetup in this area

On this podcast I discuss some of the my thoughts after the November 2020 meetup. We had the chance to have with us 4 great speakers, and we discussed about a multitude of topics, including the future of this area. I would be very interested to hear what everyone else thinks. Feel free to get in touch through The Data Scientist.

Advances in natural language processing and deep learning make us question what is the meaning of intelligence. I was recently reading this very interesting article by the gradient: https://thegradient.pub/gpt2-and-the-nature-of-intelligence/ . The article refers to GPT2, but with GPT3 already, the questions it poses are more relevant than ever. 

On this podcast I discuss about this very controversial topic: does the fact that neural networks handle language on a human-like level means that they are really intelligent?

Make sure to read more about data science and AI at The Data Scientist

AI is disseminating into all sciences. On this very interesting episode I am discussing an interesting piece of research I read, about how agent-base modelling and AI can be used to improve economic models. It looks like the policy makers of the future might be robots, instead of humans. Maybe this will actually help make our world better! :)

Make sure to read more about data science and AI at The Data Scientist

The Analytics Engineer acts as the bridge between data engineers and data analysts. It is their job to build well tested, up to date and documented datasets that the rest of the company can use to answer their own questions.  Learn more about this role on this podcast!

Make sure to read more about data science and AI at The Data Scientist

Data is the new oil. So what makes it valuable? How can companies in the data science/AI space make sure they maximise the value of their data? Learn more on this podcast!

Make sure to read more about this topic and other topics related to data science and AI at The Data Scientist.

Predictive analytics is one of the most popular applications of data science. In this podcast we talk more about this field and discuss about its various applications.

Make sure to read more about this topic at https://thedatascientist.com

One of the biggest dilemmas for decision makers is whether they should build their tech teams in-house or whether they should outsource. This is a big dilemma both for startups and entrepreneurs. The right choice can save you lots of money, time and effort. 

On this episode, we discuss about this very interesting topic.

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AI promises to improve many parts of our lives and society. However, is it really going to positively impact the economy? On this podcast, I discuss a concept called "So-so AI", which might completely change the way we view AI and its impact on the economy.

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Is AI going to overtake humans in most tasks? Are jobs threatened? We have heard many voices over the last few years warning against huge social and economic changes coming as the result of automation. But what is AI really as smart as we think it is? Let's see what is really the case.

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I have been teaching data science for many years, and I've come to know some of the pros and cons of different solutions in data science education, from universities to bootcamps.   This is why I decided that we need is a next generation data science bootcamp which combines the best methods from different modes of learning. 

Learn more on this episode!  

Learn more at http://dataly.st and follow my work at http://thedatascientist.com