Dr. Aristotle Socrates, Juvo’s Director of Data Science, is a Theoretical Astrophysicist with a strong background in academia. Ari is an Adjunct Professor in the Department of Astronomy and Astrophysics at University of California, Santa Cruz. He was a Hubble Fellow at Princeton University, and then a long-term member at the Institute for Advanced Study in Princeton. After leaving academia, Aristotle served as a Sr. Data Scientist and Growth Product Manager at Voxer, a social messaging platform with 70M users. Dr. Socrates earned his BS in Applied Physics from Columbia University and his PhD in Physics from UC Santa Barbara. Here’s a link to an article that talks about Juvo’s approach to data and the problem his team is solving. Additionally, here’s a link to an interview where he further discuss his views on, amongst other things, the connections between academia and data science.
‘Sunny’ Hemant Gosain, also known as Sunny is the Executive Chairman of Omniquo. Sunny is a serial entrepreneur with a successful track record in heading up large global organizations and in executing start-up ventures in cloud, mobility and enterprise software. He is also an angel investor and an adviser to growth based tech firms. Prior to Omniquo, Sunny served in numerous leadership roles such as the Chief Product Officer & Executive Vice President of inContact Inc. (NASDAQ: SAAS), the Chief Technology Officer & Executive Vice President at Compiere Inc.(acquired by Aptean), the Vice President of Development at Oracle (NYSE: ORCL) , as Systems Manager at MCI Systemhouse(acquired by HP NYSE: HPQ) and as Management Consultant at Fujitsu. He holds a B.S. in Electrical Engineering from the University of Delhi and an MBA degree from the University of Arkansas. Sunny holds three technology patents. He is currently on the board of directors of several companies – PRO-Unlimited, Purplista and Ambivo. He also serves on the Dean’s Executive Advisory Board for the Sam M. Walton College of Business at the University of Arkansas.
Ashish Singh (A.K) is the Director of Product Management for at Teradata. From startup ventures to some Fortune 500 technology companies, Ashish ’s background spans over 20 years in the IoT, Cloud computing, Machine/Deep Learning and Big Data technologies in a wide variety of Product Management, Technical Marketing & Strategy leadership roles. He has led multiple product management and go to market efforts to introduce cutting-edge Machine/Deep learning, Cloud, Big Data, “As a service” solutions in the US and global markets catering specifically to a wide variety of market segments. His current areas of interest are focused on building products leveraging new Machine/Deep learning architectures and restructuring the current business models to enable the enterprises to transition to an Augmented Intelligence enabled connected enterprise and develop new revenue models for their end consumers. As a clear strategic thinker, he has an excellent track record of creating and launching products from concept to launch and experience in thinking and executing global go-to-market strategies.
Ashish holds a BS in Computer Engineering and an MBA in Marketing & Strategy from Ohio State University. As a prominent industry executive, he also shares his experience and insights through speaking engagements at multiple Machine/Deep learning, Big Data, IoT and Cloud Computing conferences.
Prakhar Mehrotra currently is Senior Director of Machine Learning for Retail Data Science at Walmart Labs, based out of Sunnyvale CA. He overseas research and development of pricing, assortment, replenishment and planning algorithms to help merchants take smarter decisions. Prior to joining Walmart, he was Head of Data Science, Finance at Uber Technologies, San Francisco. At Uber, he built the Data Science arm for Finance and led global team of data scientists and data analysts spread across Amsterdam, Hyderabad and San Francisco. He lead the research and development of Machine Learning Algorithms related to Financial Forecasting (Supply & Demand), Budget Planning, Economic Simulations for Autonomous Vehicles. In his role, he has also worked on research and development related to payment analytics and treasury financial simulations. Prior to Uber, Mr. Mehrotra worked as Sr. Data Scientist at Twitter, Inc in San Francisco as part of Sales & Monetization team. He has Advanced Engineer’s degree in Aeronautics from California Institute of Technology (Caltech), Pasadena, and dual Masters in Aeronautics and Applied Mechanics from Ecole Polytechnique, Paris and Caltech. He did is undergraduate in Mechanical Engineering from National Institute of Technology, Trichy, India. He has given numerous invited talks including keynote speaker at EARL conference, Toronto Machine Learning Summit, NYU Center for Data Science, Wharton Technology Conference at Wharton School of Business. He also chaired the session on Forecasting at International Symposium on Forecasting, Australia 2017 and was invited judge (Risk & Intelligence) at the European Fintech Awards. Brussels.
Kala Ramaswamy, Head of Finance Systems & Business intelligence at Airbnb, is a senior technology leader with deep expertise in Enterprise Data and Analytics transformations and promoting a data and insights-driven culture in organizations. She has over 20 years of experience leading global enterprise programs in leading technology companies such as Airbnb, eBay, PayPal, and Brocade Communications. In her various roles as part of CDO, CIO, and CTO organizations, Kala has led global functions like Business Analytics, Enterprise Data Governance, Data Strategy, Business Intelligence, Enterprise Data Warehouse and Operations.
Dr. Barbara Wixom: Dr. Barbara Wixom is a Principal Research Scientist at the Massachusetts’s Institute of Technology Sloan School of Management Center for IS Research (CISR). Dr. Wixom directs and conducts academic research that targets the challenges of senior level executives at CISR’s one hundred global sponsor companies. Her area of expertise includes how firms build and deliver business value from enterprise data capabilities.
Prior to CISR, Dr. Wixom was a tenured faculty member at the University of Virginia’s (UVA) McIntire School of Commerce for fifteen years where she taught courses in data management and business analytics at the undergraduate, graduate and executive education levels. Dr. Wixom is a two-time recipient of the UVA All-University Teaching Award (2002, 2010), which recognizes professors’ teaching excellence and particularly those professors who inspire and motivate students. This honor is especially meaningful to Dr. Wixom because she earned her undergraduate degree at the University of Virginia.
Since the mid-90’s, Dr. Wixom has explored data warehousing, business intelligence, business analytics, and big data. Her research ranges from large-scale surveys to in-depth case studies, and five of her cases have placed in the Society for Information Management Paper Awards competition: First American Corporation (1999), Owens and Minor (2000), Continental Airlines (2004), Sprint (2008) and BBVA (2018). Dr. Wixom is a leading academic scholar, publishing in such journals as Information Systems Research; Sloan Management Review; MIS Quarterly; MIS Quarterly Executive; and Journal of MIS, and she has presented her work at national and international conferences.
Dr. James Marsden, EIC, Decision Support Systems : Dr. Marsden is a Board of Trustees Distinguished Professor at the University of Connecticut. He came to the University of Connecticut in August 1993, as the Head of OPIM. He formerly was the founding Chair and Philip Morris Professor of Information Systems at the Department of Decision Science and Information Systems, University of Kentucky, along with serving as the Director of the MIS and DSS Research Labs at that institution. Dr. Marsden has had visiting appointments at Purdue, Arizona, and the University of York. His areas of specialization include econometrics, quantitative methods, information economics, decision support system valuation, expert systems, and the management of computing systems. Professor Marsden is a Departmental Editor (DSS Impacts and Evaluation) for Decision Support Systems and has served for several years as the Expert Systems Minitrack co-coordinator for the annual Hawaii International Conference on Systems Sciences. His research has appeared in Decision Support Systems, Journal of Political Economy, Journal of Economic Theory, European Journal of Operational Research, Journal of Organizational Computing, American Economic Review, Journal of Economic Dynamics and Control, and numerous other leading journals.
Dr. Olivia Sheng, SE, Information Systems Research : Dr. Sheng is Presidential Professor and Emma Eccles Jones Presidential Chair of Information Systems at the David Eccles School of Business, University of Utah. She also directs a Utah Center of Excellence – the Global Knowledge Management Center ( http://gkmc.utah.edu ) to seek commercialization of knowledge management technologies. Her research focuses on data mining and optimization techniques for portal management, emetrics and customer analysis, customer profiling, personalization, recommendation, fraud/intrusion detection, bio-medical, digital government, risk management, telemedicine, telework, and distributed learning applications. Her research has received funding from various Utah State agencies, Wasatch Advisors, U.S. Army, NSF, IBM, Tivoli, Toshiba Corp., Sun Microsystems, Hong Kong Research Grants Council, Asia Productivity Organization, SAP University Alliance, and Bureau of Land Management.
Dr. Sudha Ram, EIC, Journal of Business Analytics: Dr. Sudha Ram is Anheuser-Busch Endowed Professor of MIS, Entrepreneurship & Innovation in the Eller College of Management at the University of Arizona. She has joint faculty appointments as Professor of Computer Science, member of BIO5 Institute, and Institute for Environment. She is the director of the INSITE: Center for Business Intelligence and Analytics at the University of Arizona. Dr. Ram received a Ph.D. from the University of Illinois at Urbana-Champaign in 1985. Her research is in the areas of Enterprise Data Management, Business Intelligence, Large Scale Networks and Big Data Analytics. Her work uses different methods such as machine learning, statistical approaches, ontologies and conceptual modeling. Dr. Ram has published more than 200 research articles in refereed journals, conferences and book chapters.
She has received more than $60 million in research funding from organizations such as, IBM, Intel Corporation, SAP, Ford, Raytheon Missile Systems, US ARMY, NIST, NSF, NASA, and Office of Research and Development of the CIA. Dr. Ram served as the senior editor for Information Systems Research, and is currently a senior editor of Journal of AIS and on the editorial board for many leading Information Systems journals. She is also a co-editor in chief of the Journal on Data Semantics and a founding editor for Journal of Business Analytics. She is a cofounder of the Workshop on Information Technology and Systems (WITS) and serves on the steering committee of many workshops and conferences including the Entity Relationship Conference (ER). Dr. Ram has published articles in such journals as Communications of the ACM, IEEE Expert, IEEE Transactions on Knowledge and Data Engineering, Information Systems, Information Systems Research, Management Science, and MIS Quarterly.
Dr. Ram serves as a consultant to several global companies on Business Intelligence, Enterprise Data management and Big Data Analytics. She received the IBM faculty Development Award and UA Leading Edge Innovator in Research Award in 2007 and 2012. Her research has been highlighted in several media outlets including UANEWS, Arizona Alumni Magazine, International Journalism Festival, NPR news, and New York Times. She was a speaker for a TEDx talk in December 2013 on “Creating a Smarter World with Big Data”.
Dr. Ramesh Sharda: Dr. Ramesh Sharda is the Vice Dean for Research and Graduate Programs, Watson/ConocoPhillips Chair and a Regents Professor of Management Science and Information Systems in the Spears School of Business at Oklahoma State University. He has coauthored two textbooks (Business Intelligence, Analytics, and Data Science: A Managerial Perspective, 4th Edition, Pearson and Business Intelligence and Analytics: Systems for Decision Support, 10th edition, Pearson). His research has been published in major journals in management science and information systems including Management Science, Operations Research, Information Systems Research, Decision Support Systems, Decision Sciences Journal, EJIS, JMIS, Interfaces, INFORMS Journal on Computing, ACM Data Base and many others. He is a member of the editorial boards of journals such as the Decision Support Systems, Decision Sciences, and Information Systems Frontiers. He also serves as the Faculty Director of Teradata University Network. He received the 2013 INFORMS Computing Society HG Lifetime Service Award, and was inducted into Oklahoma Higher Education Hall of Fame in 2016.