What is needs to get AI work and planning under cognitive limitations

Feb 27, 2019 · London, United Kingdom

Please welcome the first Predictive Analytics meetup of 2019!

Please note, as well as RSVP’ing here on meetup, you must register here: https://cdao-uk.coriniumintelligence.com/register/meetup
Attending the meetup only is free as always.

To make this meetup possible we’ve partnered with Corinium’s Chief Data, Analytics Officers & Influencers UK (CDAOI, UK) event taking place February 26-28.

Also thanks to O'Reilly we will have a giveaway.


18:00 Doors open. Food networking and drinks
18:30 Opening Remarks
18:40 A data science team and an Idea is not enough to get AI to work by Mike Bugembe
19:10 Break & Networking
19:30 Planning Under Cognitive Limitations by Mehdi Keramati
20:00 Drink, food and networking


Talk 1

Title: - A data science team and an Idea is not enough to get AI to work

Recent figures show that only 4% of investments in AI will produce an ROI. Most organisations will hire a team of PHD data scientists, get them to work on a project and still fail to see the game changing value that AI promises. This is because there are many moving parts to solving this puzzle. In this presentation, author of the number 1 amazon best seller cracking the data code, will share his insights on the missing pieces that you need to think about for your AI projects.

Speaker: Mike Bugembe

Bio - Mike is a best selling author, international speaker and executive advisor helping organisations use data and AI to transform their businesses and grow. Mike has worked with organizations across a range of industries advising leaders on how to create optimized data science teams, create data cultures and how to generate real business value with data. He has built award winning teams, created data driven cultures and developed algorithms that have generated millions of pounds in revenue. Mike has also spearheaded some work on the interplay between data and behavioural economics, researching the part that data plays in human behaviours and choices. His work quickly got him recognition as one of the UK’s top digital masters, he has won several awards and has been named as one of the most influential people in a data-driven business in the UK over the last few years.

Talk 2

Title: Planning Under Cognitive Limitations

Abstract: When deciding their next move (e.g. in a chess game, or a cheese maze), a superhuman or a super-mouse would think infinitely deep into the future and consider all the possible sequences of actions and their outcomes. A terrestrial human or mouse, however, has limited time-consuming computational resources and is thus compelled to restrict its contemplation. A key theoretical question is how an agent can make the best out of her limited time and cognitive resources in order to make up her mind. I will review several strategies, some borrowed from the artificial intelligence literature, that we and others have demonstrated that animals/humans use in the face of different cognitive limitations. These strategies include: acting based on habits, limiting the planning horizon, forward/backward planning, hierarchical planning, and successor-representation learning.

Speaker: Mehdi Keramati

Bio: Dr. Keramati did his studies in Computer Engineering (BSc), Economics (MSc), and Computational Neuroscience (PhD). He then worked as a postdoctoral researcher with Prof. Peter Dayan at the Gatsby Computational Neuroscience Unit, UCL, followed by another postdoctoral research with Prof. Ray Dolan at the Max Planck Centre for Computational Psychiatry, UCL. He Joined the Department of Psychology at City University of London, in 2018, as a lecturer.

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