Financial data science professionals and Wolfram technology experts will come together, in association with Fitch Learning and the CQF Institute, to share their knowledge and experience with you at the Computation Meets Data Science evening talk. Attendees will get the chance to discuss their own challenges and network with other attendees while seeing the latest advances in computational technology.
By showcasing how to inject cutting-edge computation at every level in your financial data science workflow, this evening talk seeks to promote how an "analytics-driven" decision-making culture can result in better, more insightful answers. So whether you're looking to improve your data science methodologies, empower technical collaboration or construct an enterprise-wide computation strategy, this evening talk will provide fresh advice and new perspectives.
Featured topics will include machine learning, data visualisation, advanced analytics and infographics, with applications ranging from finance to insurance, and many more! Much of the focus in data science tends to be the application of traditional statistics techniques in more automated ways. This talk will discuss how this automation now makes it possible for data scientists to apply much more sophisticated computation to their data to achieve deeper insights and derive more value from the data.
Computational techniques originally developed for science and engineering applications can often be applied, in sometimes surprising ways, to big data applications. A fast-paced, interactive and example-driven exploration showcasing the AI capabilities of the Wolfram Programming Language. This presentation will demonstrate how sophisticated AI tools can be rapidly developed and deployed to extract new insights from your data and improve decision making. Wolfram Research is one of the world's leading computer, web and cloud software companies—as well as a powerhouse of scientific and technical innovation.
As a pioneer in computation and computational knowledge, the company has pursued a long-term vision to develop the science, technology and tools to make computation an ever-more-potent force in today's and tomorrow's world.
She is a mature graduate in artificial intelligence, which combines technical and theoretical computer science with a physics background. She consults on a wide range of AI applications, including planetary defence with NASA, and continues to manage the community of AI and machine learning researchers.
Adrian Ericsson Director Dynamo Analytics Adrian cofounded Dynamo Analytics after a year career building and implementing statistical, analytical and financial models for global insurance companies.
A qualified actuary with diverse practical experience, Adrian has established and led technical teams in both the UK and South Africa.
Adrian focuses on the build and industrialisation of financial and analytical models in businesses. Joanne is a clinical academic with a formidable track record of entrepreneurial success, as she translates academic research into medical and commercial returns. John then joined Pfizer , originally as a computational chemist, progressing to a role in which he led a multidisciplinary group combining rational drug design with structural biology.
In , John moved to a startup biotech company, Inpharmatica, where he led the development of a series of computational and data platforms to improve drug discovery. In this role, John was involved in the development of novel data extraction and integration strategies, as well as integrating deep learning and other artificial intelligence approaches to drug target validation and drug optimisation.
Anat Elhalal is the lead technologist for artificial intelligence and machine learning at Digital Catapult, providing technological leadership across industry sectors and programmes, with a focus on identifying innovation and adoption barriers specific to AI and developing interventions to address those barriers. Anat is an applied science researcher with over 15 years of academic and industry experience in analysing and predicting behaviour based on research, real-world data and mathematical modelling.
Previously, Anat led global data science teams at various startups within the vibrant London scene: for Peak, the cognitive training app; VisualDNA, providing consumer profiling for fair credit scoring; and earlier FAROO, a peer-to-peer search engine.
Anat trained in physics, statistical modelling and cognitive science, with a PhD in modelling human memory using neural networks. Her interests include distributed ledger technology, baking and rock climbing. Keith Harrison Head of Knowledge Management Offshore Renewable Energy Catapult Keith has more than 25 years of global energy and utility market experience, from generation to retail operations.
Wolfram is more than a software company. Over the past 35 years, we've been responsible for a stream of major new directions in both technology and basic science. Inject computational intelligence at every level, on every project. Wolfram uniquely unifies algorithms, data, notebooks, linguistics and deployment—enabling powerful workflows across desktop, cloud, server and mobile.
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