rofessor of IS & Technology Management; Director, Center for Knowledge, Is, &Management of Technology, University of California Santa Cruz
Professor Ram Akella is currently Professor and Director of the Center for Large-scale Live Analytics and Smart Services (CLASS), which includes SMART (Social Media Analytics Research Transformation), and the Center for Knowledge, Information Systems and Technology Management (KISMT) at the University of California at Silicon Valley Center/Santa Cruz. Prof. Akella started his academic career as a post-doctoral fellow at Harvard and then joined MIT (EECS/LIDS and LFM) as a Postdoctoral Associate. He then joined Carnegie Mellon University in 1985 as an Associate Professor in the Tepper Business School (GSIA) and the School of Computer Science (CS/RI), before working at other institutions including MIT, Berkeley, Stanford, and establishing an ORU and TIM(ISTM) at UCSC/SVC as Founding Director/Chair. Ram has actively changed his research and teaching focus over the years. At Stanford,his current research concerns Machine Learning, Data and Text Mining, Interactive Search, Analytics, and Smart Services in Healthcare, Computational Marketing, Financial and Business Services; previously, he has worked on problems in High Tech, IT, Outsourcing and BPO, Semiconductors, Cost Competitiveness, Product Life Cycle Management, Business Process Optimization and E-Business, as well as quality, fab economic models, cost of ownership and financial justification for IT Management and equipment, production planning and control. At the University of California at Berkeley, at CITRIS and the iSchool, his research and teaching concern Large Scale Analytics and Data Mining in Knowledge Services and Business Management, including Energy and Healthcare Analytics; previously he has taught Industrial Engineering and Operations Research and conducted research on Semiconductor Process Learning. His early work at CMU, MIT, Harvard and IISc was on real time automation and control and large scale systems theory, including seminal work on supply chain management, costing, and contracts.
Phil Wisoff, Chief Information Officer of Proskauer, has more than 25 years of senior management experience in information technology in industries that include law firm, accounting, insurance, telecommunications and pharmaceuticals. Phil focuses on the strategic use of technology and knowledge management to assist the firm in achieving its client service and business goals. He leads a global team of professionals responsible for managing the firm’s technology, knowledge management, litigation support, and records departments. Prior to joining Proskauer in 2006, Phil was the Director of MIS for Skadden Arps. He also worked in various technology management positions including: Vice President of Internet Solutions for EYT (formerly Ernst & Young Technologies), and as National Director of Business Applications, National Director of Technology Services, National Director of Technology Support, and Director of Technology for Ernst & Young LLP. Phil also held executive-level technology and telecommunications positions at American International Group and Squibb Corporation. He began his career at Bell Telephone Laboratories.
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Everyone is expecting to get a lot out of Big Data... but are we too trusting of the analytics we're getting out of it? As the variety and number of data sources being harvested increases, there are a lot of steps and many opportunities for errors to creep into the process of creating actionable insights. And when multiple people interpret one set of data very differently, whose interpretation do you run with? What can an organization do to ensure that the insights distilled from the data, can be trusted?
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