Featuring our pick of AI, Data Science and Blockchain news!
This month of November we have some exciting things taking place such as the AI and Blockchain for Green Finance and the Circular Economy workshop as well as a free event on Data strategy and GDPR: Maximising value from your data on the 24th November!
Data Science and Artificial Intelligence
FREE EVENT: Data strategy and GDPR: Maximising value from your data (24th Nov)
In this event, GDPR expert Thomas Hayes and expert data strategist Dr Stylianos Kampakis discuss the best way to tackle the topics of privacy and data strategy at the same time.
In a world that is driven by data and digital transformation it is absolutely vital that businesses have the right infrastructure, data strategy and solution set up early-on. This is where data architecture comes into play. Data Architecture is a significant component required to gather and analyse your business data.
Researchers at MIT launched a research project to identify and tackle machine learning usability challenges in child welfare screening. In collaboration with a child welfare department in Colorado, the researchers studied how call screeners assess cases, with and without the help of machine learning predictions.
Artificial intelligence and data science are taking the world by storm. While investing keeps pouring in, businesses try to figure out what is the best business model to follow. This is a recording of a talk Dr. Stylianos Kampakis gave at Cambridge University’s Entrepreneurship Centre, on this topic.
In the world of cybersecurity, speed kills. In less than 20 minutes, a skilled adversary can break into an organization’s network and start exfiltrating critical data assets, and as the volume of data modern companies produce increases, it’s becoming ever more difficult for human analysts to spot malicious activity until it’s too late. This is where cybersecurity AI can come to the rescue.
What is data science for decision makers? What is data science coaching and how can this help a business? This webinar covers: What is data science/AI for decision makers? Why is it needed?Example case studies and what is data science coaching, and how can it help improve your business?
Are you a CEO, manager or entrepreneur that wants to use data science/AI to take your business to the next level? The aim of this workshop is to deliver to you the value that you would out of a consulting engagement, but within a single day and at a fraction of the price and the time, by distilling years of expertise in a single day.
Blockchain Technology and Fintech
FREE EVENT: AI and Blockchain for Green Finance and the Circular Economy (10th Nov)
Artificial intelligence and blockchain technologies have the potential to revolutionise the way we work, travel, relax, and organise our societies and day-to-day lives. One of the main themes that emerge as great applications of AI and blockchain are the themes of green finance and the circular economy.
Micropayments are not a new concept. Since the mid-1990s, micropayments have experienced various degrees of popularity. As the use of digital wallets and cryptocurrencies becomes more abundant, new use cases for micropayments will be further explored and developed.
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. Check out this interview with 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.
Digital payments technology is forcing the financial system to evolve. Banks feel their power waning and want to regain control. In 2014, as regulators in New York were exploring ways to control Bitcoin, executives at Wall Street’s biggest banks fretted that regulating cryptocurrencies would also legitimize them — and that could threaten the finance industry. So they tried to sow doubt.