The biggest online conference for developers & leaders in the data science & machine learning space.
A 2-day event that has all the features of in-person event but is totally online - network with fellow attendees, meet companies virtually and learn from leading speakers.
plugin is brought to you by Analytics India Magazine, the leading media house specializing in the space of analytics & machine learning.
Father of the data warehouse
William H. (Bill) Inmon (born 1945) is an American computer scientist, recognized by many as the father of the data warehouse. Inmon wrote the first book, held the first conference (with Arnie Barnett), wrote the first column in a magazine and was the first to offer classes in data warehousing. Inmon created the accepted definition of what a data warehouse is - a subject oriented, nonvolatile, integrated, time variant collection of data in support of management's decisions.
Top AI Influencer
Dr. Kirk Borne is a data scientist and an astrophysicist. He is Principal Data Scientist in the Strategic Innovation Group at Booz-Allen Hamilton since 2015. He was Professor of Astrophysics and Computational Science in the George Mason University (GMU) School of Physics, Astronomy, and Computational Sciences during 2003-2015. He served as undergraduate advisor for the GMU Data Science program and graduate advisor to students in the Computational Science and Informatics PhD program. Prior to that, he spent nearly 20 years supporting NASA projects, including NASA's Hubble Space Telescope as Data Archive Project Scientist, NASA's Astronomy Data Center, and NASA's Space Science Data Operations Office. He has extensive experience in large scientific databases and information systems, including expertise in scientific data mining. He was a contributor to the design and development of the new Large Synoptic Survey Telescope (LSST), for which he contributed in the areas of science data management, informatics and statistical science research, galaxies research, and education and public outreach.
Inventor of Julia programming language
Viral B Shah is an Indian computer scientist, best known for being a co-creator of the Julia programming language. As of 2017 he is the CEO of Julia Computing, which he co-founded with Alan Edelman, Jeff Bezanson, Stefan Karpinski, Keno Fischer and Deepak Vinchhi.
World’s first 4x Kaggle Grandmaster
Abhishek is the world’s first 4x Kaggle Grandmaster and currently works as Chief Data Scientist for boost.ai. He holds a Master's degree in Computer Science from the University of Bonn. In his free time, he likes to take part in machine learning competitions, create YouTube videos related to applied machine learning and is currently writing a book titled: Approaching (Almost) Any Machine Learning Problem.
Head, Group Enterprise Artificial Intelligence at UOB Bank
Johnson Poh is currently Executive Director and Head, Group Enterprise Artificial Intelligence and Data Science at UOB Group. He has been a practicing data scientist for the past decade, with experience spanning across finance, consulting and government sectors. His prior professional appointments include being Head Data Science / Practice Lead at DBS Bank, Chief Data Scientist, ASEAN Region at Booz Allen Hamilton and Head Data Science / Principal Data Scientist at Ministry of Defence, Singapore. He also serves as an adjunct faculty at Singapore Management University (SMU).
Johnson completed his bachelor’s degrees in Pure Mathematics, Statistics and Economics at University of California, Berkeley. He received his postgraduate degree in Statistics at Yale University.
Head of Data Science at Kuoni
Gianluca is Head of Data Science at Kuoni, a global travel brand, and also a freelance instructor of 'Data science of business' courses. Previously has set-up the data operations at Groupon, where he has been Head of Analytics for 6 years.
Head of AI at Axel Springer AI
Dat is the Head of AI at Axel Springer Ideas Engineering, the innovation unit of Axel Springer SE which is the largest digital publishing house in Europe. He establishes and leads Axel Springer AI where his goal is to make AI more accessible within Axel Springer and hence drive innovations within the group. His ultimate plan is to turn Axel Springer into an AI first company.
Previously, he co-headed the data team at idealo.de where he built up the machine learning team from scratch. His team mainly focused on computer vision problems from teaching a computer to understand aesthetics to upscaling low-resolution images.
He is a regular speaker and has presented at several renowned conferences. He also blogs about his work on Medium. His background is in Operations Research and Econometrics. Dat received his MSc in Economics from Humboldt University of Berlin.
Dat’s interests are diverse from traditional machine learning, deep learning, AI in general to computer vision.
Global Head, Advanced Analytics & AI at CSL Behring
John is an international technology executive with over 30 years of experience in the business intelligence
and advanced analytics fields. Currently, John is responsible for the global Advanced Analytics & Artificial
Intelligence team and efforts at CSL.
Prior to CSL, John was an Executive Partner at Gartner, where he was management consultant to market
leading companies in the areas of digital transformation, data monetization and advanced analytics. Before
Gartner, John was responsible for the advanced analytics business unit of the Dell Software Group.
John is co-author of the bestselling book – Analytics: How to win with Intelligence, which debuted on
Amazon as the #1 new book in Analytics in 2017. Analytics is a book that guides non-technical executives
through the journey of building an analytics team, funding initiatives and driving change in business
operations through data and applied analytical applications.
Mr. Thompson’s technology expertise includes all aspects of advanced analytics and information
management including – descriptive, predictive and prescriptive analytics, artificial intelligence, analytical
applications, deep learning, cognitive computing, big data, data warehousing, business intelligence systems,
and high performance computing.
One of John’s primary areas of focus and interest has been to create innovative technologies to increase the
value derived by organizations around the world.
John has built start-up organizations from the ground up and he has reengineered business units of Fortune
500 firms to reach their potential. He has directly managed and run - sales, marketing, consulting, support
and product development organizations.
He is a technology leader with expertise and experience spanning all operational areas with a focus on
strategy, product innovation, growth and efficient execution.
Thompson holds a Bachelor of Science degree in Computer Science from Ferris State University and a MBA in Marketing from DePaul University.
Head of Analytics Enablement at KeyBank
Greg Steffine has been empowering business leaders with the insight they need to out-think and out-perform their competitors for nearly three decades now. As an analytics enablement leader, he’s had the privilege of working as a trusted advisor to some of the most recognizable names in business—from mid-market growth organizations to the Fortune 500, in industries as diverse as manufacturing, distribution, transportation, and healthcare.
Mr. Steffine’s career started with one of the Mid-Atlantic’s fastest-growing direct marketing agencies where he cut his teeth on data and the fundamentals of database marketing. He was the business guy who branded and led the first data warehousing initiative for a small-package delivery company (RPS, Inc.) that would later become known as FedEx Ground. And he’s spent more than 15 years in business intelligence and data warehouse consulting for both Big 4 and regional mid-size consultancies, including his own. Today, Greg is the Head of Analytics Enablement for KeyBank—one of the United States’ largest bank-based financial services firms.
In pursuing his passion for creating and maximizing value, Greg received the Director’s Recognition Award from Centers for Disease Control and Prevention, an Award of Excellence from DataProfit Corporation, and was named a Service Champion by RPS, Inc.
Greg is the author of the award-winning book, Hyper: Changing the way you think about, plan, and execute business intelligence for real results, real fast! Packed with pragmatic advice, proven methods, and real-world tools, this quick-read guide provides busy business and IT professionals with straight-talk on how to deliver BI in a hyper-responsive, hyper-agile, and hyper-flexible way. One internationally-recognized thought-leader on BI calls the book “a must-read guide for any self-respecting BI professional.” Hyper is an Amazon multi-category bestseller. It was named to the list of Top 20 Best Business Intelligence Books by Solutions Review, Named to Tableau’s list of 9 Great Books About Business Intelligence, named a Top 25 Best Data Science book by Data Science Programs Guide, and awarded eLit’s Gold Award for Best Business Reference book.
In his sequel to Hyper called Think Fast!: The insight you need to compete and win with self-service analytics, Mr. Steffine teams-up with other experienced pros to deliver an essential, quick-read guide on the most important aspects of people, process, technology, and data you need to think about in order to deliver real value from analytics. It, too, is an Amazon multi-category bestseller and received the Book Excellence Award for business non-fiction. Greg was a contributor to the book, Data Analytics: A Road Map for Expanding Analytics Capabilities by Grant Thornton and the Internal Audit Foundation, and his work has been featured in O’Reilly, TechTarget, PEX, teQ, and Enterprise Mobility Exchange.
Mr. Steffine is married with three sons, a daughter, and two fun-loving Cockapoos named Sandy and Leo. They live near Pittsburgh, Pennsylvania. You can learn more about Greg by visiting his website at www.steffine.com or his LinkedIn profile at www.linkedin.com/in/steffine. Follow him on Twitter at @GregSteffine.
Global Head of Climate & Agronomic Decision Sciences at Syngenta
Dr. Michael Ferrari is the Global Head of Climate and Agronomic Decision Sciences with Syngenta. In addition he is the Managing Partner at Atlas Research Innovations, a Partner with FutureMap, and Senior Fellow at the Wharton School at the University of Pennsylvania. Most of Michael’s work blends science, technology and economics at the food-water-energy-infrastructure nexus, and encompasses Data Science & Analytics, Spatial Informatics, AI/Machine Learning, Financial & Physical Risk, GeoEconomics, Sensor Networks, Environmental System Science and Engineering, and Information Theory. Michael has spent his career as a scientist, engineer and economist in the following industrial sectors: agriculture and energy, FinTech, chemicals, water & natural resources, commodities & supply chain, and informatics. Dr. Ferrari earned his PhD from Rutgers where his research focused on developing theoretical and quantitative models to better understand the Industrial/Environmental interface and the Earth/Space/Biosphere complex from both an information systems and an evolutionary perspective. His doctoral and postdoctoral research in numerical modeling was supported by the NASA Goddard Institute for Space Studies.
Meet top analytics leaders and machine learning developers from around the world.
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World's most influential technology forms would showcase inspirational speakers including game changing innovations that they are working on
for artificial intelligence & data science