Vasilis Kapsalis

Vasilis Kapsalis

Vas is Verne Global's Director of Deep Learning and HPC Solutions. He comes with a wealth of experience from the global technology sector, with detailed knowledge in Deep Learning, Big Data and HPC, as well as consultancy skills in IoT and digital transformation.

Articles by Vasilis Kapsalis

The Fourth Industrial Revolution and the Bank of England

On Monday of this week, the Bank of England governor Mark Carney promised to reinvent the Bank of England to make it fit for the “new economy” of the “Fourth Industrial Revolution", reflecting changes in how society, business and government operate.

How AI can keep your executives out of jail

Only artificial intelligence (AI) can prevent social media firms from shutting their doors. Costs, fines and executive jail terms are threatened as the government tackles online harm.

Stricter regulation of social media companies is now high up on the agenda of many national governments. In the UK plans are in place to create a statutory duty of care toward social media users, and a new independent regulator with powerful sanctions is to be established.

Integration of AI systems at scale

Today, data scientists and machine learning engineers can implement systems for tackling discrete tasks with a very high degree of success. Results in fields such as image processing to support cancer diagnosis can be extremely accurate, with the best performing algorithms even exceeding experienced clinicians for certain categories of cancer diagnosis.

Tech Giants' Shadow Looms Large across the European Financial Community

FT's recent article “EU bankers step up warnings on threat from big tech” highlights moves by the European Union (EU) to provide a level playing field in the European finance sector. Undoubtedly EU financial institutions are aware of the threat to existing business models posed by the global tech giants, and this concern may have been recently exacerbated by the new Open Banking regulations, which as the article suggests may allow the easy identification and cherry picking of the most lucrative parts of the business.

Explainable AI

SC18 here in Dallas is proving once again to be a fascinating melting pot of HPC insights and observations, and it's intriguing to see the continuing convergence of AI into the supercomputing ecosystem. Along these lines I started to think about the movement towards 'Explainable AI'. Being able to explain and understand how models work when making predictions about the real world is a fundamental tenet of science. Whether solving equations in a dynamic system for precise answers or using statistical analysis to examine a distribution of events, the results sought from these methods are intended to increase our clarity and knowledge of how the world works.

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