Name: AI, Machine Learning and Sentiment Analysis Applied to Finance - London 2018
From: 25 Jun 2018
To: 29 Jun 2018
Address: London, United Kingdom
Key speakers: Christina Erlwein-Sayer, Researcher, OptiRisk Tilman Sayer, Researcher, OptiRisk Gautam Mitra, Visiting Professor, UCL Enza Messina, Professor, University of Milano-Bicocca Ashok Banerjee, Professor, IIM Calcutta Peter Hafez, Chief Data Scientist, Ravenpack Guillaume Vidal, CEO and Co-Founder, Walnut Algorithms Anders Bally, Manager, Sentifi Xiang Yu, Manager, OptiRisk Systems Sanjiv Das, Professor, Santa Clara University Holger Knauer, Professor, Catana Capital Richard Peterson, Manager, MarketPsych Stephen Pulman, Professor, Oxford University Mandie Quartly, Manager, IBM Arun Verma, Quantitative Researcher, Bloomberg LP Geoff Horrell, Manager, Thomson Reuters Giuliano DeRossi, Manager, Macquarie Oded Luria, Manager, Citi Technology Innovation Lab TLV Grigorios Papamanousakis, Manager, Aberdeen Asset Management
Pricing: End User - Super Early Bird until 30 April - £275 + VAT
Description: Artificial Intelligence is deemed to be the main driver of the 4th Industrial Revolution. Investment in AI has grown at a phenomenal rate with companies investing $26-39bn in 2016. Adoption in 2017, however, remains low. As a result, this has spurred companies from every industry to seize the trend and innovate – from virtual assistants to cyber security to fraud detection and much more. The majority of C-level executives have identified and agree that AI will have an impact on their industry. However, only 20% of C-level executives admit they have already adopted AI technology in their businesses, according to research conducted by McKinsey. So, there is plenty of scope for change and improvement. The Finance industry is anticipated to lead the way in adoption of AI with a significant projected increase in spending over the next three years.
Until recently, practitioners have faithfully relied upon neo-classical models to measure performance, whether it’s in financial organisations or marketing corporations. AI is the new technology that offers an automated solution to these processes. It has the capability to replicate cognitive decisions made by humans and also remove behavioural bias adherent to humans.
Machine learning and sentiment analysis are specific techniques that are applied in AI. These techniques are maturing and rapidly proving their value within businesses. In order to process and understand the masses of data out there, machine learning and sentiment analysis have become essential methods that open the gateway to data analytics. To keep up with the ever-expanding datasets, it is only natural that the techniques and methods with which to analyse them must also improve and update.
This conference will help you to demystify the buzz around AI and differentiate the reality from the hype. Learn about how you can benefit from the unprecedented progress in AI technologies at this conference. Participants will be presented with real insights on how they can exploit these technological advances for themselves and their companies.
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