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Arguably the UK’s best known physicist, Professor Brian Cox’s books and TV programmes have been read and watched around the world and credited with making science engaging and accessible to millions. With his down-to-earth, likeable enthusiasm, Brian is frequently labelled a ‘rock star scientist’. Once the keyboard player for D:Ream, he has come a long way to his position as Professor of Particle Physics at Manchester University and a key part of the ATLAS and the CERN Large Hadron Collider projects.
Brian’s blockbuster TV shows include Wonders of the Universe, Wonders of the Solar System and Wonders of Life, each looking at the fundamental science behind everything from stars and planets to atoms and microbiology. He has also presented Stargazing, Space Hoppers, The Big Bang and numerous editions of Horizon. His books accompanying the Wonders of... series have become huge bestsellers, as did his co-authored title Why Does E=mc2?
From speaking at TED in the US to World Economic Forums in Davos and China, Brian’s presentations engage, inform and entertain featuring awe-inspiring images from the depths of the universe as well as his trademark infectious enthusiasm for his subject. Alongside the story of life, the universe and everything, Brian argues that science can unite the world in an attempt to discover our shared origins. He also explains the work of CERN and their attempts to use cutting-edge technology and engineering to recreate events fractions of a nanosecond after the Big Bang “in the hope of revealing the underlying simplicity of the universe.”
An International Fellow of the Explorers Club Brian was awarded the prestigious Lord Kelvin Award for his work in promoting science to all. When not filming around the world, Brian writes for a range of newspapers and journals and co-hosts Radio 4’s Infinite Monkey Cage, the comedy and science programme. He and his friend and co-host Robin Ince examine the big and not-so-big science questions alongside comedians, scientists and celebrities both on air and on tour. Brian also serves as the Royal Society’s Professor for Public Engagement in Science.
Professor of Electrical Engineering and Computer Sciences University California, Berkeley
Stuart Russell is a pioneer in the understanding and uses of artificial intelligence (AI), its long-term future, and its relation to humanity. He also is a leading authority on robotics and bioinformatics.
Stuart Russell is the author or coauthor of three books on knowledge, reasoning, and machine learning, including the standard textbook in artificial intelligence. Stuart Russell is a professor of Electrical Engineering and Computer Sciences at UC-Berkeley and Adjunct Professor of Neurological Surgery at UC-San Francisco.
Strategic Director Wolfram Research
Wolfram Research is one of the world's most respected 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.
Wolfram Research created products such as Wolfram|Alpha, Demonstrations and the core underlying technology—Mathematica.
Founded by Stephen Wolfram in 1987, Conrad Wolfram founded the European Wolfram Research in 1991and since 1997 has been the strategic director of the worldwide group initiating and directs the business, marketing, design and a variety of strategic technical projects---everything from the CDF Player concept to webMathematica (which underlies Wolfram|Alpha) to conceptualizing wolfram.com.
Interested in how technology and computation can move lives and economies forward and in turn how this affects education, Conrad is a keen promoter of changing the way mathematicsa is taught in schools, in particular how maths has become almost totally discrepant from its real-world application and in 2010 founded computerbasedmath.org to address this worldwide.
Security Ambassador Avast Software
Garry Kasparov was born in Baku, Azerbaijan, in the Soviet Union in 1963. He became the youngest world chess champion in history in 1985 and was the world’s top-rated player for 20 years, until he retired in 2005. His matches against arch-rival Anatoly Karpov and the IBM supercomputer Deep Blue popularized chess and machine intelligence in unprecedented ways. Kasparov became a pro-democracy leader in Russia and an outspoken defender of individual freedom around the world, a mission he continues as the chairman of the New York-based Human Rights Foundation. He is a Visiting Fellow at the Oxford-Martin School, where his lectures focus on human-machine collaboration. Kasparov is a provocative speaker who appears frequently before business, academic, and political audiences to speak about decision-making, strategy, technology, and artificial intelligence. His influential writings on politics, cognition, and tech have appeared in dozens of major publications around the world. He has written two acclaimed series of chess books and the bestsellers How Life Imitates Chess on decision-making and Winter Is Coming on Russia and Vladimir Putin. His new book, Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins comes out in May 2017. In 2016, he was named a Security Ambassador by Avast, where he discusses cybersecurity and the digital future. He lives in New York City with his wife Dasha and their two children.
Technical Evangelist Amazon Web Services
Half French/English living in Finland for 15 years, climber, musician, amateur photograph, all this wrapped together into a Technical Evangelist working with AWS and passionate about everything cloud. Adrian has over 15 years of experience in the IT industry, having worked as a software and system engineer, backend, web and mobile developer and part of DevOps teams where his focus has been on cloud infrastructure and site reliability, writing application software, deploying servers and managing large scale architectures. Today, Adrian tends to get super excited by AI and IoT, and especially in the convergence of both technologies.
Marketing Director Elexirr
As Elexirr’s Marketing Director, Rebecca is responsible for the company’s outreach strategy, cultivating content and brand identity, and developing LawBot’s global partnerships. She is deeply passionate about modernizing the law, especially for the benefit of individuals. She has been involved in numerous human rights projects in Sierra Leone and China, and hopes that legal technology will bridge the gap between those who practice the law and those in need of representation.
Developer Evangelist RedSift
Technical Evangelist Amazon Web Services
Danilo works with startups and companies of any size to support their innovation. In his role as Technical Evangelist at Amazon Web Services, he leverages his experience to help people bringing their ideas to life, focusing on event-driven programming and serverless architectures, and on the technical and business impact of machine learning and artificial intelligence.
DevOps/System Engineer Lead LINK Mobility GmbH
Karina is a well-known woman in tech, an experienced developer and an international speaker. She has been worked as Developer Lead last 10 years. She has confident communication, leadership skills across different levels, developed through international professional interaction and engagements with representatives of various government institutions or IT companies using agile environment across the world. Her social responsibility and communicative competence are demonstrated in the organization of professional networks, events and conferences. At the same time she gained public speaking skills through frequent academic presentations, workshops and participation as a speaker at IoT and DevOps conferences.
Lead Business Development Manager, IoT, EMEA VMware
Matthias Schorer is the Lead Business Development Manager, IoT, EMEA, VMware. Matthias took on the role in January 2017, drawing on his expertise to advise VMware customers on management, monitoring and security across global IoT projects.
Matthias has been with VMware since 2011, working in various key roles across the company. Prior to his most recent appointment, Matthias was Head of Strategy Consulting, responsible for VMware's automotive strategy and solutions for connected cars. Before this, as Enterprise Cloud Leader CEMEA, he was responsible for growing VMware’s cloud computing business. Since January 2013, he has provided strategic consultancy for VMware Accelerate™ Advisory Services for Central and Eastern Europe.
Matthias joined VMware from CSC, providing customer consultancy on IT architecture, migration of legacy systems, cloud computing and virtualization. For over ten years, Matthias was also the Technical Chief-Architect at Fiducia IT AG where he helped to develop the core architecture for the agree® banking system.
Deep Learning Researcher Cisco
Vijay Ramakrishnan is a deep learning researcher at Cisco, working on chat and voice assistants in our products. He previously worked at Mindmeld Inc, which was acquired by Cisco in June 2017.
Technical Evangelist Microsoft
Martin is a technical evangelist for Microsoft based in the UK. In his role, Martin talks with customers, partners, start-ups and anyone who is willing to listen about developing applications on the Microsoft platform. This includes Windows, Office, Microsoft Azure and Web technologies including ASP.net and the Edge browser. Martin has been working with Microsoft development technologies since the late 90's and has been working for Microsoft directly since 2005.
Director Mobile and Intelligent Bots PaaS Oracle
Program Manager, Google Cloud Platform Strategy Google
Darren works on the Google Cloud Platform, leading go-to-market programmes and strategy in Big Data. Having worked in business development on the public cloud since its earliest days, spanning both Google Cloud Platform and competitive platforms, Darren has worked with hundreds of companies across industries to help move them to the cloud and in particular to take advantage of advancements in big data and machine learning.