MARCH 21-22, CONFERENCE DAYS | MARCH 20, WORKSHOP DAY
In recent years our ability to apply AI and Deep Learning to real-world problems and products has increased exponentially. Andrew Ng has famously said that AI is the “New Electricity”. It’s hard to think of a field that will not be profoundly changed by AI.
Managers today must understand how AI applies to and will change their field, while Data Scientists and Engineers are jumping on this exciting field bringing together engineering, statistics and cognition to find new ways to have impact with their work.
Reinforce brings together a diverse group of leading experts and practitioners to share their knowledge and experience on the fast moving field of Machine Learning and Artificial Intelligence. Reinforce Conf gives product managers, data scientists and engineers insights into success stories, lessons learned, best practices and new approaches, in the beautiful European city of Budapest.
Join our conference on March 20-22, and be part of tomorrow’s discoveries!
Andrea Pasqua is a data science manager at Uber, where he leads the time series forecasting and anomaly detection teams. Previously, Andrea was director of data science at Radius Intelligence, a company spearheading the use of machine learning in the marketing space; a financial analyst at MSCI, a leading company in the field of risk analysis; and a postdoctoral fellow in biophysics at UC Berkeley. He holds a PhD in physics from UC Berkeley.
Camille Eddy began working on advanced robotics during an internship at HP Inc’s headquarters in Palo Alto, California as a Machine Learning Intern. She continued to intern at X, formerly Google X, in their robotics initiative and also began working with NVIDIA on their autonomous car project. She is currently studying for a Bachelor's degree in Mechanical Engineering. Camille speaks nationally on inclusion in the tech community and regularly writes on the topic. She also enjoys volunteering for STEM advocacy organizations for young girls and students.
Carl Osipov is a staff program manager focused on helping Google’s customers and business partners get trained and certified to run machine learning and data analytics workloads on Google Cloud. Carl has more than 17 years of experience in the IT industry and has held leadership roles for programs and projects in the areas of big data, cloud computing, service-oriented architecture, machine learning, and computational natural language processing at some of the world’s leading technology companies across the United States and Europe. Carl has written over 20 articles for professional, trade, and academic journals and holds six patents from the USPTO. He has received three corporate awards from IBM for his innovative work. You can find out more about Carl on his blog.
Dr. Varshney is a principal research staff member and manager with IBM Research AI at the Thomas J. Watson Research Center, Yorktown Heights, NY, where he leads the Learning and Decision Making group. He is the founding co-director of the IBM Science for Social Good initiative. He applies data science and predictive analytics to human capital management, healthcare, olfaction, computational creativity, public affairs, international development, and algorithmic fairness, which has led to recognitions such as the 2013 Gerstner Award for Client Excellence for contributions to the WellPoint team and the Extraordinary IBM Research Technical Accomplishment for contributions to workforce innovation and enterprise transformation. He conducts academic research on the theory and methods of statistical signal processing and machine learning. His work has been recognized through best paper awards at the Fusion 2009, SOLI 2013, KDD 2014, and SDM 2015
Leonid Kuligin is currently a ML cloud engineer at Google Cloud Professional Services Organization. He has more than 10 years of product engineering experience in leading Russian and German tech companies such as HeadHunter Group, Yandex and others. His focus is complicated backends for b2c products based on machine learning and distributed data processing.
Patrick van der Smagt is director of the open-source Volkswagen Group AI Research Lab in Munich’s Data Lab, focussing on probabilistic deep learning for time series modelling, as well as deep learning for robotics, and quantum machine learning. He previously directed a lab as professor for machine learning and biomimetic robotics at the Technical University of Munich while leading the machine learning group at the research institute fortiss, and was the head of bionics and assistive robotics at the DLR Oberpfaffenhofen. Long before that, he did his PhD and MSc at Amsterdam’s universities. Besides publishing numerous papers and patents on machine learning, robotics, and motor control, he has won various awards, including the 2013 Helmholtz-Association Erwin Schrödinger Award, the 2014 King-Sun Fu Memorial Award, the 2013 Harvard Medical School/MGH Martin Research Prize, and best-paper awards. He is founding chairman of a non-for-profit organisation for Assistive Robotics for tetraplegics and co-founder of various companies.
Zoltan is Principal Spark Instructor at Databricks. He's been delivering Databricks and Spark classes for over 3 years and he is one of the contributors to Databricks' Machine Learning curriculum. Besides working with Databricks, he is CTO of datapao.com and a professor at the Central European University. Earlier he built and later lead the team that managed a petabyte-scale data infrastructure at Prezi.com. Before joining Databricks he worked on RapidMiner's Spark integration projects.
Do you have something to say about AI? Apply to be a speaker for Reinforce conferece. Call for Paper is open until Dec. 10. Visit https://www.papercall.io/reinforce-ai-2019 to apply.
On march 20th we will hold whole day workshops under AI topics. Each workshop is an independent event in a separate venue. (workshop venue we communicate before the event) Workshop day includes 2 coffee breaks and lunch.
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A conference that brings experts, skills and eagerness to progression together, while discussing the key to all future technologie, as knowledge on artificial intelligence, automation and cognitive systems is becoming more and more valuable, and at the same time unavoidable for all fields and areas. Our conference brings together some of the world leading experts of the topic, while creating a platform for discourse, innovation and network.
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In recent years our ability to apply AI and Deep Learning to real-world problems and products has increased exponentially. Andrew Ng has famously said that AI is the “New Electricity”. It’s hard to think of a field that will not be profoundly changed by AI.
