Data strategy is one of the most important parts of any data science project. Unfortunately, it is not very recognised.

Most data science/AI projects fail, as the result of the lack of a data strategy. This is one of the reasons that on this podcast, I have talked a lot about the importance of data strategy for companies of all stages and sizes.

On this interview, we are talking with Ruben Sardaryan, who is a data strategy expert from Toronto. One of the most interesting bits of this interview is the explanation of the difference between data tactics and data strategy. Most companies focus on the former, but should really focus on the latter.

We hope you enjoy this interesting conversation!

Make sure to read more news and stories about data science and AI at The Data Scientist and check out the Tesseract Academy if you are interested in data strategy services

What are the different types of data? Data scientists are familiar with terms like structured and unstructured data, many leaders are lost. In this episode, we discuss more about these types of data what are the business implications.

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On this episode, we are talking with Amanda Brock from OpenUK. OpenUK is a UK-based not-for-profit company which supports open source collaboration and open technologies within the United Kingdom. Its primary stated focus is to develop and sustain UK leadership in Open Technology, comprised of open source software, open source hardware and open data.

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

A famous article by the Harvard Business Review breaks down data strategy in two types: offense and defense. Which are you should focus on depends on the type of business you are in. On this episode we are discussing more about this interesting topic.

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

Stanford's new AI index is out! This index reviews all developments in AI that took place in 2020. On this episode we will discuss the most interesting findings from this index. This is also a rare episode during which I am sharing my screen! :) So, I hope you enjoy it!

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On this podcast we are talking about a very interesting piece of research. Scientists from MIT used an AI to run simulations on the economy, and came up with different economic proposals and models. This raises question as to whether AI will actually be used in policy in the future. I am talking more about this on this podcast.

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

On this episode, I am interviewing Nick Jordan from narrative.io

Nick offers a unique perspective on what is happening in the world of data acquisition and monetization and the role technology is playing in enabling data scientists and businesses to gain access to proprietary data to help feed their models without it taking months.

This is a very interesting discussion, talking about API-ization, data mesh, data streaming and other topics! 

I hope you enjoy it!

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AI is exploding, and there had never been a better time to start an AI business than now. On this podcast we discuss how you can do it.

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

Also make sure to check out Tesseract Academy's new program to learn how to build an AI business!

Artificial intelligence and automation will bring huge changes to the economy. There are many opinions being heard. Some believe that AI will bring mass unemployment, and others believe that AI will increase productivity dramatically. On this episode, we explore more.

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

McKinsey recently released a report outlying their findings around AI for 2020. On this podcast we discuss the most interesting findings from this report.

Learn more about data science at The Data Scientist.