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Show me the M(L)oney
In 2017 the VC industry invested $15.2bn into ML related start-ups according to CBInsights. While some argue that the VC investment into the space is plateauing, there is no denying that this is big cash.
So what impact does this have on the developments of machine learning? Does this mean that machine learning is only applied to industries that allow startups a quick exit? Are smart people being training to join start ups so that they can then be acquihired at large salaries? Or are we actually seing the end of startup innovation as large tech organisations compete to pay large salaries to hire rare deep-learning researchers? And if the future is AI everywhere what impact does it have on most of us if this technology is mostly developed in privately funded companies?
Our confirmed guests are:
Meri is an investor with Oxford Capital, an early stage Venture Capital fund in the UK. He is particularly focused on digital health and the future of mobility, but above all looks to back ambitious teams tackling huge societal or commercial problems. His investments include Attest, Latent Logic and he is involved with Push Doctor, Moneybox, Outplay and Oxford BioTherapeutics in the OC portfolio.
Tong Gu: As an Investment Lead in ADV her job is to ensure their investments reach the most promising tech-enabled startups growing under the leadership of ambitious founders. A geek at heart, Tong left her career as a VP in tech and media investment banking to found a successful data analytics startup. Having herself raised venture funding--she understands the importance of building lasting relationships between entrepreneurs and the investors who support them. She holds an MBA from INSEAD and an BEng in Information Systems Engineering from Imperial College London.
David Kelnar is a Partner and the head of research at MMC. David has eight years of entrepreneurial leadership experience in early stage companies, having served as the founding CEO and CFO, respectively, of two consumer service technology companies, and is an advisor to a range of early stage ventures. Previously, David was an equity research analyst and investor in the European technology sector, at Goldman Sachs in London and a hedge fund in New York. David graduated with double First Class Honours in Philosophy from the University of Cambridge.
Linda Jiang is an advisor at Baidu Ventures (BV). BV is an independent venture fund established by Baidu in 2017, focusing on AI and data enabled companies. She is also a serial entrepreneur and start-up advisor. Linda was a Co-founder of Comet Labs, an AI and robotics accelerator based in Beijing and San Francisco. Prior to Comet Labs, Linda was a Co-founder of UMENG which grew into the largest mobile analytics platform in China and was then acquired by Alibaba. Linda has a MSc in Management at Royal Holloway University in London, She is now reading Cognitive and Decision Sciences at UCL.
We will start with some food and drinks at 18:30, then a hosted discussion at 19:00 followed by a Q&A with the audience.
Join the conversation and follow us on Twitter: @BBC_MLFireside
Please make sure you download a ticket from Eventbrite as you will NOT be able to attend without it. You will be asked to show your Eventbrite ticket and a form of photo ID at the door. Your bags will also be checked by security. This event is for ages 18+ only. Please note that by attending this event you are agreeing to be filmed and/or photographed the material of which may be used on BBC websites and social media.
See you there!