The industry is rapidly changing and will continue to do so. It’s becoming harder and harder to keep up with it all. In order for you to stay on top of your game, we’re bringing the leading industry experts to share their experience and knowledge with you.Watch MONEY’19 review
Over a 1,200 professionals, such as yourself, are coming to the conference to discuss the future of AI. You’ll be able to meet new people, share ideas and opinions without making it awkward. Everybody here is excited to meet.Learn more about the attendees
Apart from making new friends, you’ll also be able to find new clients and partners. A lot of people come to the Shift AI conference with problems, as well as solutions. Whether you’ve got the former or the latter, you’ll certainly able to find what you need.Get tickets
With more than 20 years of expertise in bringing cutting edge technology from academia to market, Hassan Sawaf is well-recognized in the field of applied science and machine learning, with applications in machine translation, speech recognition, computer vision, natural language understanding and dialog, process optimization, and other fields. Hassan is currently Director, Facebook AI with a focus on building machine learning technology to leverage multimodal signals for comprehension, machine induction and personalization across various applications in various domains, among them applications in the augmented reality and virtual reality (AR/VR) field.
Ashley is an engaged and innovative leader who has always had a deep interest in advancing the public good. Recently leaving her long-standing career in the public service where she was last Director of Data and Digital for the Government of Canada, she has now taken on the role of Executive Director of AI Global, a non-profit dedicated to creating practical tools to ensure the responsible use of AI. Throughout her career she has worked at the intersection of innovative technology and data, and its impact on providing better information and services.
Lin is an established data science executive with more than a decade of expertise in building, leading and growing multiple world-class teams of data scientists and ML engineers. He has proven track record in driving state-of-the-art ML/AI solutions in companies at different stages. Most recently, Lin leads Data Science & Engineering Org at Reddit, the 5th most visited site in the US. As the scientific backbone of Reddit, his horizontal teams deliver transformative experimentation capabilities and data products for all Reddit product areas to define and capitalize on company growth opportunities. Before Reddit, Lin headed data science teams in Microsoft then LinkedIn, across a wide range of domains, including search, recommendation, feed and ads. Lin is a University of Michigan trained statistician and his research has appeared in leading academic publications, including Advances in Consumer Research and International Symposium on Forecasting Proceedings. Lin is a frequent public speaker on business and technology.
Kairan Quazi is an AI Summer Research Mentee at Intel Labs’ Anticipatory Computing Lab and a full-time undergraduate college student in the San Francisco Bay Area, California. He started his undergraduate studies in Mathematics and Computer Science at the age of 9. Kairan expects to enter his junior (third) year of undergraduate studies in August 2020 at the age of 11. To date, Kairan has earned five certifications in Deep Learning, four certifications in advanced Python programming, and maintains proficiency in 19 programming languages and frameworks. Kairan has been recognized by the prestigious Davidson Institute Young Scholars Program and the Johns Hopkins Study of Exceptional Talent. He has been featured as a guest writer in HuffPost and MIT Technology Review. He has been featured in numerous television and print media interviews as well as viral documentaries released by HuffPost, Voice of America, and 60 Seconds Documentary. Kairan is an extroverted learner with a passion for politics, current events, and all things STEM. He also enjoys reading, video-gaming, collecting Pokémon cards, traveling, and making friends.
Dr. Sebastian Wieczorek is Vice President Machine Learning for Data Intelligence, SAP’s technology platform which helps companies to develop and consume AI capabilities. In this role, he is responsible for development teams in four European and Asian locations. In addition, he is a key spokesperson for AI and member of SAP’s AI ethics steering board which provides company-wide guidelines on how to apply AI in a human-centric way. Sebastian is member of the Enquete Commission on AI of the German Bundestag, board member at Bitkom’s AI working group, member of the steering board of the EU-project SHERPA, which conducts research on ethical questions in regard to the use of AI, and serves as an academic expert and reviewer for the European Commission and the German Ministry of Education and Research. In previous positions at SAP, Sebastian coordinated all startup engagement activities of the SAP Innovation Center Network, including the scouting of companies for partnering and M&A, the mentoring of startups at accelerators like TechStars, Startupbootcamp, Seedcamp and SAP.io, as well as representing SAP at the German Startups Association. While at SAP Research, Sebastian managed EU-funded research projects and led the "Application Engineering Group". During this time, he was an organizer and member of various scientific program committees for peer-reviewed conferences and workshops, conducting lectures on Web Engineering at the Technical University of Darmstadt, and published numerous papers on software engineering.
Mark Weber is an applied researcher and Strategy & Operations Lead at the MIT-IBM Watson AI Lab, a $250 million partnership funding over 200 scientists making fundamental breakthroughs in AI. Through the lab’s corporate membership program, which he runs, Mark works closely with global leaders across multiple sectors on the creative challenge of bridging fundamental science to real-world impact. Mark’s current applied research includes neuro-symbolic generative modeling for construction monitoring, graph deep learning for anti-money laundering, and supply chain demand forecasting. Mark also oversees strategic engagements with IDEO and the International Monetary Fund. Prior to IBM Research, Mark was a graduate researcher at the MIT Media Lab and a fellow at the MIT Legatum Center for Development & Entrepreneurship while he earned his M.B.A in finance from MIT Sloan. There he led the development of an open-source protocol called b_verify for verifiable records in supply chain finance. Before his foray into technology, Mark spent the first chapters of his career focused on political economy and development. He produced three documentary films on these subjects, most notably the critically acclaimed film Poverty, Inc. In his personal time, he is an avid reader and an ultramarathon trail runner. Learn more at www.markrweber.com and follow Mark at @markrweber.
Julie Shin Choi is VP and GM of Artificial Intelligence Products and Research Marketing at Intel Corporation. She is responsible for marketing the Intel portfolio of hardware and software products for building enterprise scale AI solutions. She is driving the AI marketing strategy across Intel, helping customers, developers, and the ecosystem understand Intel’s rich set of AI offerings. Prior to joining Intel, she led product marketing at Hewlett Packard Enterprise, Mozilla and Yahoo, focused on developer and enterprise audiences. Julie holds a bachelor’s degree from MIT and a master’s degree from Stanford, both in Management Science.
Ashish Bansal is an AI/ML leader, well-known speaker and astute technologist with over 20 years of experience in the field. He currently leads engineering teams at Twitter that build AI/ML systems at a billion tweet scale. He has founded successful startups. Prior to this, he was the Sr. Director at Capital One. Ashish has spoken at the world’s top AI conferences such as the O’Reilly AI Summit, RE*WORK Deep Learning Summit, Predictive Analytics World (PAW), Big Data & AI conference amongst others. He is also the content chair for the AI track for TieCON SF. Ashish has also been published in Forbes, CIO Review, CIO Applications, and the Financial Post. He has co-founded the IIT AI/ML forum, a worldwide special interest group of IITians working in the field of AI/ML. Ashish grew this group to over 1000 members in 2 years.
As an Architect of Ethical AI Practice at Salesforce, Kathy develops research-informed best practice to educate Salesforce employees, customers, and the industry on the development of responsible AI. She collaborates and partners with external AI and ethics experts to continuously evolve Salesforce policies, practices, and products. Prior to Salesforce, she worked at Google, eBay, and Oracle in User Experience Research. She received her MS in Engineering Psychology and BS in Applied Psychology from the Georgia Institute of Technology. The second edition of her book, "Understanding your users," was published in May 2015. You can read about her current research at einstein.ai/ethics.
Michael Lanzetta is a Principal Applied ML Engineer Lead at Microsoft with over 20 years of experience on projects involving Operations Research, Optimization, Forecasting, and Machine and Deep Learning. His background in multiple industries makes him well-suited for his current role - helping Fortune 100 companies realize business transformations using the power of Machine Learning and data at scale.
Ehsan is the Product Manager for the Investments AI team, a centralized Artificial Intelligence team within AIG. He joined AIG in April 2019 and currently leads a product team of machine learning scientists, natural language processing scientists, data engineers, and developers to create and deliver AI products (models and applications) to be used within the investment team. Prior to AIG, Ehsan co-founded an electronic trading startup that used AI to provide prices within the corporate bond markets and has previously worked on the fixed income credit desks at Goldman Sachs and BNP Paribas since 2007. Ehsan holds his Masters in Data Science from UC Berkeley.
Sebastian is a Co-founder & CEO at Statice, a Berlin-based data anonymization company. Statice enables companies to undertake safe and efficient data science, without compromising the security or privacy of consumer data. Leading corporates from the finance, insurance, healthcare and automotive fields leverage Statice technology to safely build value with data assets. Prior to founding Statice, Sebastian developed ventures in IoT, Data Science and Big Data at WATTx, a corporate company builder. Sebastian holds a masters degree from the Rotterdam School of Management, and is a member of the Working Group on Data Privacy of the German Initiative for Artificial Intelligence. He has always been passionate about data-driven innovation that creates value for people and their businesses. He believes in a data-driven present and future, and is sure that we can combine data-based value creation with ethical business practices.
Sohrob Kazerounian is the AI Research Lead at Vectra. He completed his PhD in Cognitive and Neural Systems at Boston University, and subsequently worked as a post-doctoral research for three years at the Swiss AI Lab (IDSIA), working on the deep learning AI models that are now prevalent in computer vision and language processing technologies at the world’s largest technology companies.
Will is a founding partner of Frontline Ventures and has spent the last decade focused on software and the internet. Before Frontline he was a partner with NCB Venture Capital and prior to that was a consultant within the strategy division of Accenture UK. During his career he has led investments in a wide range of software companies including AMCS (waste management), Britebill (consumer engagement & billing) and epubDirect (ebook distribution). Will is a member of the Society of Kauffman Fellows, a network of 200+ venture capital professionals in leading firms around the world. He spends a significant portion of his time in the US developing investor and corporate relationships to benefit the companies in which Frontline has invested. Will holds a Chemical Engineering Degree from University College Dublin.
Debbie is a Director of ACT and has been active in corporate finance and venture capital investing for 20 years. Her investment focus is on software, healthcare and media. Debbie is currently on the boards of Qumas, Capella and Heartsine Technologies and works closely with the teams at Game, Endecco, Keelvar and Soundwave. Previously, she has been closely involved with a number of other ACT companies including AEP (acquired by Ultra Tehnologies),Lifestyle Sports (acquired by Stafford Group) , Nova Science (acquired by Abbott), Snapper Music & Kainos. Prior to joining ACT, Debbie spent 5 years with KPMG Corporate Finance specialising in strategic corporate advice, fund-raisings and M&A transactions. Debbie graduated from University College Dublin (UCD) with a degree in Civil Law. She also holds a Diploma in Professional Accounting and is a Fellow of the Institute of Chartered Accountants in Ireland.
Rob is a founding partner at Hoxton Ventures, an early stage venture capital firm investing across Europe. He represents the firm on the boards of Raptor Supplies, NoMagic, Kheiron Medical and previously was on the board of Immunio (acquired by Trend Micro) and Campanja (acquired by 24/7 Media). He additionally works with Hoxton's interests in Deliveroo, Babylon Health and Optimoroute. Having spent most of his career in Silicon Valley, Rob came to London in 2008 to join the investments team at Fidelity Ventures, focusing on consumer internet and software as a service sectors. Prior to Fidelity, he was on the new business development team at Google and was previously a lead product manager for AdSense's front-end systems. While at Google, he also launched the AdWords pay-per-action (PPA) product and was actively involved in the acquisition of Feedburner in 2008. Rob began his career in Intel's highly selective technical sales program where he worked to grow their entrepreneurial reseller channel in the Federal Government vertical and later in Latin America from Bogota and Miami Beach. A dual US/UK national, he holds a BS in Computer Science from the University of Maryland and a Masters certificate in Management Science & Engineering from Stanford University.
Fergal leads Intercom's ML team, and recently PM'd the launch of Resolution Bot, Intercom's most advanced NLP product. Fergal previously ran the Predictive Analytics team at Optimizely, following their acquisition of his reinforcement learning startup. Fergal has a PhD in Machine Learning, and works at the intersection between technology and product.
Kieran has over 20 years’ experience working as a Data Scientist, delivering data powered solutions to large global and domestic clients. Kieran has a mathematics and statistics academic background and excels in building and growing data, analytics and artificial intelligence capability, including specialist teams and technology solutions. Kieran is a Thought Leader in the field of analytics and has travelled the world, working with clients across all industries and speaking at technology, analytics and AI conferences. Kieran’s expertise lies in designing and delivering data powered solutions that maximise the client value from investments in data and analytics technology, with particular domain expertise in Financial Services.
Navdeep is currently working as Data & AI Architect at Accenture’s R&D center, with a passion for designing forward-thinking solutions and bringing Artificial Intelligence to individuals. He has extensive experience in implementing the Machine learning lifecycle through production and manage aspects such as data pipeline, scaling, automation, and Governance
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