This month we have some exciting stuff going such as a unique free data-driven product development online intro workshop as well as a brand new free webinar on interpretable AI, algorithmic accountability, and AI ethics!

Also don’t forget to check out The Six Biggest Blockchain Trends Everyone Should Know About In 2021!

DATA SCIENCE AND ARTIFICIAL INTELLIGENCE

There are many ways in which data-driven product management is described but data-driven product management and development means making decisions based on real-world information.The data-driven product bootcamp will help s level up your decision-making.

The Tesseract Academy‘s CEO, Dr Stylianos Kampakis, had the opportunity to participate on an event organised by the London Governance and Compliance Academy to discuss topics such as why data strategy is key for success in data science.

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 Dr. Stylianos Kampakis discusses more about this interesting topic.

Value-creation in business intelligence (BI) has followed a consistent pattern over the last few decades. The ability to democratize and expand the addressable user base of solutions has corresponded to large value increases.

The finance industry is one of the heaviest users of AI and data science. This come as no surprise, given the huge amounts of data that is being generated in this area. Check out this interesting talk about what the future of AI in this industry will look like on an event hosted by Miquido.

When an organisation adopts AI, there are many things to look for. They are proof of concept, incubation and deployment. The infographic in this post summarises the 3 stages in a concise form.

Most companies today have invested in data science to some degree. In the majority of cases, data science projects have tended to spring up team by team inside an organization, resulting in a disjointed approach that isn’t scalable or cost-efficient.

Today markets are being reshaped by a new kind of firm—one in which artificial intelligence runs the show. This cohort includes giants like Google, Facebook, and Alibaba, and growing businesses such as Wayfair and Ocado.

 

What is interpretable machine learning? How can we make algorithms accountable for their decisions? How can we better explain how AI works in critical situations? This webinar explains why we need explainable AI, some techniques that can be used for explainable AI and what decision makers can do in order to make sure their algorithms remain transparent.

BLOCKCHAIN AND CRYPTOCURRENCY

There are many immediate and tangible benefits companies can get by adopting blockchain solutions, the only thing these companies need is the assistance from blockchain experts. Here are two solutions businesses can get from blockchain right now.

Conventional wisdom suggests that when big amounts of bitcoin exit exchanges, the hodlers are socking away coins in their cold-storage hoards, presumably forever. The reality is more complicated than that, and bitcoin outflows in 2021 have a lot more to do with another important digital asset: stablecoins.

Blockchain has been one of the hottest buzzwords of the last few years. In order to help you clarify whether blockchain is a good solution for your problem, the Tesseract Academy has created a blockchain framework which can help you out.  The purpose of this framework is to make you rethink whether you really need blockchain, and if yes, what challenges might arise.

Errors in the reporting of bitcoin’s on-chain data can drastically affect the volatility and price of the market. The importance of on-chain analytics and blockchain data providers is rising in importance right alongside bitcoin’s price and overall adoption.

Blockchain has been one of the most talked-about tech trends of the last few years. As with many other trends that were important before the pandemic hit, it didn’t make as many headlines in 2021 as it has done previously. But development has been ongoing and the year saw continued adoption of the technology throughout many industries and sectors.

Don’t forget to check out our range of FREE tools and resources for Data Science, AI and Blockchain 

 

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