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Today in so many industries, from manufacturing and life sciences to financial services and retail, we rely on algorithms to conduct large-scale machine learning analyses.

They are hugely useful for problem-solving and beneficial for augmenting human expertise within an organization. But they are now under the spotlight for many reasons – and regulation is on the horizon. Gartner projects that four of the G7 countries will establish dedicated associations to oversee artificial intelligence and ML design by 2023.

It remains vital that we understand algorithms’ reasoning and decision-making processes at every step.

Algorithms need to be fully transparent in their decisions, easily validated…(Read the full article in Innovation Enterprise)

 

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Dr. Davide Zilli

Written by Dr. Davide Zilli

Dr. Davide Zilli directs the Client Services department in Mind Foundry. After obtaining a BEng Hons in Software Engineering from the University of Southampton, he joined the Institute for Complex Systems Simulation where he obtained a PhD for his research on bioacoustics and machine learning for citizen science. While at the Institute, he was visiting scholar at the Massachusetts Institute of Technology, working on pollution sensing, and research intern at Microsoft Research, Cambridge, UK, looking at acoustic detection of animal species. Upon completion of his doctorate, he joined the Machine Learning Research Group at Oxford University, working with Prof Stephen Roberts on the acoustic detection of malarial mosquitoes. Concurrently, he held a position as a Junior Research Fellow at Somerville College, Oxford. When Mind Foundry was spun out of the University, he joined in the position of research scientist, focussing primarily on time series analysis. He now works with clients to ensure that they get the most value out of machine learning with Mind Foundry products.