Thames Valley AI Meetup launch with Barclays AI Frenzy

Thames Valley Artificial Intelligence meetup launch

Our Launch event is coming together we have confirmed speakers from our partners Oracle and University of Reading with a guest speaker from IBM.

The Agenda is as follows

1800 - Arrival, networking and sustenance
1830 - Welcome and introduction – Innovation Catalyst, Ed Cooper

1840 - How AI helps make sales professionals become more effective – Oracle, Alasdair Bailey and John Menhinick.

‘A good sales professional builds a relationship with their customers, and those relationships take hard work to maintain. We have added AI throughout our Sales products to help support sales people in that.

Learn how we use AI and ML techniques to tell sales people important things about their customers and deals that they didn’t already know. These include flagging the deals most likely to win, prioritising the right kind of deals to hit short-term targets and taking the next best actions to improve win rates.
This discussion looks at how AI helps make the sales process more effective and efficient to help businesses thrive.’

1900 - Future and Challenges of AI - Oxford Immune Algorithmics, Dr Hector Zenil

Dr. Zenil will explain how current AI is limited by traditional statistics and bounded by classical probability theory, unable to understand causal or logic reasoning is ill-equipped to deal with inference and produce generative models of the world needed in applications such as healthcare and medicine that Oxford Immune Algorithmics aims to transform.

1920 - Data-intensive Knowledge Discovery from Brain Imaging of Alzheimer’s Disease Patients" - University of Reading, Giuseppe Di Fatta, the head of the Department of Computer Science

Alzheimer’s disease (AD) is a chronic neurodegenerative disease which is largely responsible for dementia in around 6% of the population aged 65 and above. The growing availability of human brain data generated by imaging techniques, such as Magnetic Resonance Imaging (MRI), have resulted in an opportunity to apply data science approaches for the diagnosis of neurological disorders. The knowledge discovery process typically involves complex data workflows that combine pre-processing techniques, statistical methods, machine learning and data mining algorithms, post-processing and visualisation techniques. This talk presents specific research efforts in this direction and highlights some open issues and challenges that are typical of real-world applications of Data Science and Artificial Intelligence.

1940 - Wrap up and next steps – Innovation Catalyst, Ed Cooper

1950 Networking

2030 Close