Applying AI and deep learning to real-world enterprise challenges
Sponsored by: 
London W2 1JU, UK
Thank you for registering!
We look forward to seeing you.
Join us for an in-depth meetup co-hosted by O’Reilly Media and IBM featuring insightful talks, good food and drinks, and the opportunity for you to connect with the London community.
The meetup will include talks by Mo Haghighi, Nick Pentreath, and Margriet Groenendijk from IBM, Clive Cox and Lee Baker from Seldon, and is hosted by Paco Nathan from O’Reilly Media. You will walk away with in-depth, practical tips on how to use artificial intelligence in real-world enterprise settings.
The meetup is colocated with the 2018 AI Conference in London. The meetup is open to the public and conference attendees.
Presentations:
- Channeling AI and Deep Learning IoT Networks
- The IBM Developer Model Asset Exchange: Deep Learning for Everyone
- Deploying ML Models at Scale
- No Data, No AI
Speakers
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Dr. Mo Haghighi is the head of Developer Ecosystems Group at IBM, former Research Scientist at Intel, and former Java and Open Source developer at Sun Microsystems. Mo’s expertise primarily lies in the areas of distributed computing, blockchain, embedded systems, and AI, with several publications and patents in those areas. He has also been a regular speaker at various events including JavaOne, TNW, Index, and IEEE conferences. Mo obtained his PhD in one of the largest multidisciplinary research projects involving the UK government and major industrial players around complexity science and large-scale distributed systems.
Mo is very passionate about integrating blockchain and AI into IoT edge processing and he spends his free time developing a new AI platform for intelligent and scalable sensor and actuator networks.
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Nick Pentreath is a principal engineer in IBM’s Center for Open-source Data & AI Technology (CODAIT), where he works on machine learning. Previously, he co-founded Graphflow, a machine learning startup focused on recommendations. He has also worked at Goldman Sachs, Cognitive Match, and Mxit. He is a committer and PMC member of the Apache Spark project and author of Machine Learning with Spark. Nick is passionate about combining commercial focus with machine learning and cutting-edge technology to build intelligent systems that learn from data to add business value.
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Margriet Groenendijk is a Data Scientist and Developer Advocate in the IBM UK team. She develops and presents talks and workshops about data science and AI. She is active in the local developer communities through attending, presenting, and organizing meetups. She has a background in climate science where she explored large observational datasets of carbon uptake by forests during her PhD, and global scale weather and climate models as a postdoctoral fellow.
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Clive Cox, a former rocket scientist, is now CTO at Seldon and the brains behind the engine and co-author on numerous research papers. He was awarded a PhD in Computational Linguistics and studied Speech & Language Processing at Cambridge University. Clive has spent the last few years developing Seldon’s algorithms and predictive platform.
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Lee Baker is a media and technology veteran with over 18 years of professional experience. He launched Association of Online Publishers as an independent organisation, where he served as Managing Director. Previous commercial roles include Microsoft, Lycos and Kelkoo. As Commercial Director at Seldon, Lee is responsible for client development and go-to-market strategy.