John Baker is a founding member of The Data Sciences Group, a Cambridge, MA–based consulting firm that helps companies determine how to use systems thinking to best leverage big data and data science. He also founded The Data Scientist, a Meetup group in Boston dedicated to helping members build and grow big data and data science skills.
Baker has more than 10 years of experience in analytics roles, ranging from analyst to CTO. His most notable achievement was starting, operating, and selling Performance Analytics, a company that provided behavioral insights based on large-volume eBay buyers.
Baker holds a patent related to social analytics. As an SDM alumnus, he received a master's degree in engineering and management from MIT. He also received dual B.S. degrees in mathematics and computer science from Hawaii Pacific University. Baker can be reached on Twitter at @johnalanbaker or by email at email@example.com.
The exponential growth of data presents a challenge for companies, which naturally seek competitive advantage by hiring the best data-driven managers. This presentation will explore how the qualitative skills developed through SDM's systems curriculum can help industries meet this challenge. These skills include: ERBA, system architecture, system dynamics, systems engineering, and leadership. An example will illustrate how SDM graduates build analytics/data science platforms and groups, derive the externally delivered value-added process of analytics, and analyze needs and the relationships among stakeholders. The wrap-up will underscore the benefits of these skills—making it possible to quickly and thoroughly determine the value of analytics at virtually any organization by leveraging the skills learned through the SDM curriculum.
Sandro Catanzaro is the founder of DataXu, a groundbreaking digital marketing business. Drawing on his business and science background, he co-invented the real-time optimization algorithm at the core of the DataXu platform.
Catanzaro has two master's degrees from MIT—an S.M. in engineering and management earned through SDM and an S.M. in aeronautics and astronautics. Prior to attending MIT, Catanzaro launched several successful businesses in his native South America, including one that was acquired by Unilever. He has a B.S. in mechanical engineering from Universidad de Buenos Aires.
Analytics is becoming a mainstream discipline for businesses looking to improve their results. Using analytics provides an edge to businesses not only because the process is fact-based, but also because analytics can react quickly to changes in the underlying data; this contrasts with previous decision-support processes that were intuition-driven and thus biased and unable to function in highly dynamic environments. Business leaders and practitioners seeking this edge continue to express strong interest in using large datasets and advanced mathematical methodologies for decision support.
Nevertheless, the inherent complexity of data analysis at scale can create a barrier for a streamlined value-creation process. Two of the most important challenges are: identifying team members who can provide business, domain, quantitative, and technology expertise; and clearly aligning the decisions to be supported with the investment in data collection, storing, and aggregation.
This presentation will center on the inherent structure of analysis creation, some of the challenges identified in practice, and a systems-based approach that can successfully be used to address these challenges.
Pat Hale joined MIT in 2003, following a 22-year career in the US Navy. Since that time, he has led the MIT Graduate Certificate Program in Systems and Product Development, a one-year graduate certificate program that is part of the MIT System Design and Management (SDM) program. He is currently executive director of SDM. His professional interests include the application of systems engineering in commercial product development, complex naval system design, and engineering process frameworks and methods.
While in the Navy, Hale qualified in both Surface Warfare and Submarine Warfare (Engineering Duty) communities, and managed the design and construction of submarines in Groton, CT. Hale later held executive-level systems engineering positions in defense and commercial system and product development organizations, including as director of systems engineering at both Draper Laboratory and Otis Elevator Co., where he developed and implemented Otis' first systems engineering process and organization.
Hale is a past president of the International Council on Systems Engineering (INCOSE); he has been an INCOSE member since 1994 and has served on its board of directors for 12 years. He is currently secretary for INCOSE's 501c3 charitable foundation. He has published papers in the area of commercial systems engineering in the conference proceedings of both INCOSE and the American Society of Mechanical Engineers.
Hale holds a B.S. in geophysical oceanography from the University of Washington as well as the degrees of Ocean Engineer and S.M. in naval architecture and marine engineering from MIT.
Troy Hamilton is CIO for the Infrastructure Solutions Group within NYSE Technologies, the commercial technology provider for NYSE Euronext, a leading global operator of financial markets and provider of innovative trading technologies. The Infrastructure Solutions Group provides best-in-class managed services, a secure global network, hosting and co-location services, a capital markets community cloud platform, and infrastructure on demand for a range of customers requiring next-generation performance and expertise for mission-critical and value-added trading services.
Hamilton has more than 15 years of experience in system development roles, ranging from global head of quality to CIO. He has been a key contributor to two successful startups: Datek Online (now TD Ameritrade) and Vonage. As an SDM alumnus, he received a master's degree in engineering and management from MIT in 1999. He can be reached at www.troyh.org or by email at firstname.lastname@example.org.
The financial services industry faces several big data challenges. These include handling massive volumes of data daily, retaining historical data, and providing online access while managing the proliferation of data analytics platform costs as well as the long development life cycle for analytics, data, and the system complexity manifesting within silos. The industry must also cope with a lack of data integration, the difficulty of keeping up with shrinking end-of-day operations windows, security, challenging low-latency throughput, and overreliance on information technology staff. This presentation will examine how a holistic systems approach can provide a strategic framework for addressing these challenges.
SDM alumnus Brian Ippolito has served as president and CEO of Orbis since 2006. Under his leadership, Orbis has established itself as a leader in delivering semantic applications and cloud analytics to the Department of Defense and select Fortune 50 companies. Previously, he served as director of advanced programs and products, C4ISR and Networked Systems at Northrop Grumman, where he directed a number of advanced technology programs and business operations. Prior to that, Ippolito worked as a researcher at MIT, where he published numerous papers and contributed to the book Lean Enterprise Value, Insights from MIT's Lean Aerospace Initiative.
Ippolito is a veteran of the US Air Force, having served at Hanscom and Eglin bases. He received a bachelor's degree in aerospace engineering from the Illinois Institute of Technology and, as an SDM graduate, a master's degree in engineering and management from MIT.
He has published commentaries and opinion pieces in industry journals and online, is a sought-after presenter, and recently won the Ernst & Young Entrepreneur of the Year 2012 Award in Maryland. Other honors include the SmartCeo Future 50 Award.
Transforming a big data vision into profitable reality requires a significant investment in human and capital resources. Senior executives naturally hope for a big return on investment (ROI) but often discover that results fall short of the expectations they had based on big data hype. This presentation will discuss how to determine realistic big data ROI from a systems viewpoint—specifically integrating the technical, managerial, and sociopolitical components—to prosper and succeed. In language that can be adapted to any industry, Mr. Ippolito will describe:
Dr. J. Bradley Morrison studies dynamically complex problems in organizations, organizational change, and management using the tools of system dynamics. His research centers on why organizations find it difficult to do what they want to do. Morrison focuses on implementation problems, which he has studied in several contexts, including in process improvement settings and at firms adopting lean manufacturing practices. He tries to understand why some cases lead to successful implementation, while others end in failure. For example, why do apparently well-intended actions often bring outcomes that differ greatly from people's expectations? How do the actions some managers take foster the very problems they are attempting to solve? His research is strongly rooted in organizational theory, with a methodological emphasis on interpretation through the lens of system dynamics.
Over a 20-year career with a leading management consulting firm, Morrison has assisted dozens of organizations that wrestle with change in areas such as product development and supply chain management. His consulting clients have included agencies of the United States and other governments, global consumer products firms, major retailers, and professional services firms. He has extensive experience in Asia, having worked in 11 countries on projects for clients from North America, Asia, and Europe.
Morrison teaches at MIT in the System Design and Management, Leaders for Global Operations, Sloan Executive Education, and Undergraduate Practice Opportunities programs. He is a senior scientist in the Pre-conflict Anticipation and Shaping research team at MIT. Morrison also teaches courses in business dynamics, operations management, and supply chain management in the M.B.A. program at Brandeis University's International Business School.
He holds a Ph.D. in management (system dynamics and organization studies) from the MIT Sloan School of Management, an M.B.A. in finance from the University of Chicago Graduate School of Business, and undergraduate degrees in chemistry and management science from MIT.
Joan S. Rubin joined MIT in 2011 to lead the industry relations efforts for the System Design and Management (SDM) program and is currently the industry codirector for SDM.
Rubin brought to SDM 17 years of business development, marketing, market development, and strategic planning experience in the field of medical devices. She came to MIT from Covidien, a leading manufacturer of medical devices and supplies, diagnostic imaging agents, and pharmaceuticals, where she served as vice president of business development.
Prior to this role, Rubin was with Aspect Medical Systems, having joined the company in its startup phase several years before its November 2009 acquisition by Covidien. At Aspect, her roles included vice president of business development, senior director of global partnerships, director of global upstream marketing, and manager/director of market development. She previously worked as manager of surgical marketing at Haemonetics Corp.
As a graduate of MIT's Leaders for Global Operations, Rubin earned an S.M. in management and an S.M. in mechanical engineering from MIT. She holds an Sc.B. in mechanical engineering from Brown University.
This panel will look at how companies are leveraging big data for business value. Drawing concrete examples from their own companies, panelists will endeavor to separate the hype surrounding the promise of big data from the reality. Panelists will explore the major challenges companies face in implementing big-data solutions, as well as the transformative opportunities they expect to see in the future. Audience questions and comments welcome.
Dr. Puneet Batra is one of the top data scientists in New England. He was most recently the chief data scientist at Kyruus, where he led efforts to improve the efficiency and quality of the US healthcare system by analyzing the nation's most comprehensive database of claims data and physician information. Batra was previously the lead analytic scientist at Aster Data, where he created new algorithms, data products, and product strategies for Fortune 500 companies using their petabyte-scale data assets. He has worked at two of the world's largest experimental facilities, the Fermilab Tevatron and CERN's Large Hadron Collider, to identify anomalies and propose new models of fundamental physics. He has held research positions at Harvard, Stanford, and Columbia universities. Batra completed his B.A. at Harvard University and has a Ph.D. in physics from Stanford University.
David Dietrich is an advisory technical education consultant in Global Education Services at EMC, where he leads curriculum, strategy, and course development related to big data analytics and data science. He coauthored the first course in EMC's data science curriculum and more recently was a contributing author for two new EMC courses focused on teaching leaders and executives about big data and data science.
Dietrich has filed eight patents in the areas of data science, data privacy, and cloud computing and has been involved with analytics and technology for nearly 20 years. He has been an advisor to universities looking to develop academic programs related to data analytics, and he has a podcast on iTunes related to big data entrepreneurship, which was created in conjunction with Tufts and MIT. He is a frequent speaker at conferences and industry events, and has been a guest lecturer at universities in the Boston area.
Prior to joining EMC Education Services, he held multiple roles involving analytics, including managing analytics and operations teams, delivering analytic consulting engagements, managing a line of analytical software products for regulating the US banking industry, and developing software-as-a-service and business-intelligence-as-a-service offerings. He's worked with many Fortune 500 companies, and collaborated with the US Federal Reserve in developing predictive models for monitoring mortgage portfolios.
Dietrich can be reached on Twitter at @imdaviddietrich; read his blog at infocus.emc.com/david_dietrich/.
Mona Vernon leads the Emerging Technologies group at Thomson Reuters. She is leading the charge on how to create an effective culture of innovation at Thomson Reuters with a focus on external innovation and reaping the benefits of open innovation. Vernon holds a B.S. and M.S. in mechanical engineering from Tufts University and an S.M. in engineering and management from MIT as a graduate of SDM, where her research focused on the role of customer experience in digital business strategy. Prior to joining Thomson Reuters, she worked in technology startups in product development and management roles.
Dr. Irving Wladawsky-Berger retired from IBM in May 2007 after a 37-year career with the company, where his primary focus was on innovation and technical strategy. He led a number of IBM's companywide initiatives, including Internet strategy, e-business, supercomputing, and Linux. In his emeritus role, he has continued to collaborate with the company on major new market strategies such as cloud computing and smart cities.
In March 2008, Wladawsky-Berger joined Citi as strategic advisor, working on innovation and technology initiatives such as the transition to mobile digital money and payments. Since 2005, he has been writing a weekly blog, irvingwb.com, and in April 2012 he became a regular contributor to the Wall Street Journal's "CIO Journal."
He is a visiting lecturer at MIT's Sloan School of Management and Engineering Systems Division, adjunct professor in the Innovation and Entrepreneurship Group at the Imperial College Business School, and executive-in-residence at New York University's Center for Urban Science and Progress. He is also a senior fellow at the Levin Institute of the State University of New York and a member of the boards of directors of Inno360, ID3, and the Corporation for National Research Initiatives; the advisory boards of InnoCentive and the University of Southern California's Annenberg Innovation Lab; and the visiting committee for the Physical Sciences Division at the University of Chicago.
He was co-chair of the President's Information Technology Advisory Committee, as well as a founding member of the Computer Sciences and Telecommunications Board of the National Research Council. He is a former member of the University of Chicago Board of Governors for Argonne National Laboratories, the Board of Overseers for Fermilab, and of BP's Technology Advisory Council. He is a fellow of the American Academy of Arts and Sciences as well as of London's Royal Society of Arts. A native of Cuba, he was named the 2001 Hispanic Engineer of the Year.
Wladawsky-Berger received an M.S. and a Ph.D. in physics from the University of Chicago.