Twelve types of Artificial Intelligence (AI) problems
Background – How many cats does it take to identify a Cat? In this article, I cover the 12 types of AI problems i.e. I… Read More »Twelve types of Artificial Intelligence (AI) problems
Based in London, Ajit's work spans research, entrepreneurship, and academia relating to artificial intelligence (AI) with Cyber-Physical systems. He is the course director of the course: Artificial Intelligence: Cloud and Edge Implementations at the University of Oxford. He is also a visiting fellow in Engineering Sciences at the University of Oxford. Besides this, he also conducts the University of Oxford courses: Digital Twins, Cybseecurity, and Agtech. Ajit works as a Data Scientist through his company, feynlabs - focusing on building innovative early-stage AI prototypes for complex AI applications. Besides the University of Oxford, Ajit has also conducted AI courses at the London School of Economics (LSE), Universidad Politécnica de Madrid (UPM), and as part of The Future Society at the Harvard Kennedy School of Government.
Background – How many cats does it take to identify a Cat? In this article, I cover the 12 types of AI problems i.e. I… Read More »Twelve types of Artificial Intelligence (AI) problems
In the 1990s, there was a popular book called Re-engineering the Corporation. Looking back now, Re-engineering certainly has had a mixed success – but it… Read More »Re-thinking Enterprise business processes using Augmented Intelligence
Background Last week, I spoke at the Swiss Mobile Association. The event was held at one of the oldest cross-functional research institutes Gottlieb Duttweiler Institute… Read More »The applications of Artificial Intelligence (AI) in the Telecoms industry
Last week, at an event on AI, I asked the panel about how investors evaluate the Data readiness of AI start-ups. This subject is close… Read More »Data readiness strategies of AI Start-ups
Background Biometrics is defined as the science of establishing the identity of an individual based on physical, chemical or behavioural attributes of the person. We… Read More »Behavioural Biometrics, IoT and AI
Enterprise AI insights from the AI Europe event in London I attended AI Europe last week. It was a 2 day event dedicated to… Read More »#Enterprise #AI insights from the AI Europe (@AI_Europe) event in London
Introduction At the Data Science for Internet of Things course, we have been working with the Predix APIs. We emphasise the Industrial IoT and Predix… Read More »An overview of the Predix Platform for Industrial IoT
Introduction According to Deloitte: by the “end of 2016 more than 80 of the world’s 100 largest enterprise software companies by revenues will have integrated… Read More »The AI layer for the Enterprise and the role of IoT
I love motivational examples in teaching complex ideas! I use this simple little video to teach Deep Learning to my students. When we consider Deep Learning, we… Read More »The lipstick robot – A great way to explain Deep learning
Many thanks for the retweets and feedback on Part one of this blog A methodology for solving problems with DataScience for Internet of… Here is… Read More »A methodology for solving problems with DataScience for Internet of Things – Part Two