Sponsored by the University of Michigan and Gartner, Inc.
The Great Lakes IT Leadership Forum took place on September 20, 2018, at the Michigan League. Leaders in higher education came together to learn and network with others from research universities with academic medical centers. Consultants from Gartner, Inc. presented emerging trends and opportunities, and facilitated discussions about the unique challenges faced by large research institutions.
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Securing the enterprise beyond information protection
Security and risk management are key enablers for digital business. Security and risk management leaders are accountable for helping the enterprise balance the risk and benefits of digital business. However, fewer than a third of CISOs are confident in their organization’s ability to assess and mitigate risk inherent in the Internet of Things (IoT). IoT is a superb innovation and a security minefield. All your Information is not under one roof. During this session, we will examine aspects of customers, partners, insiders, and things.
Speaker: Mark Silver, Gartner CISO leadership partner
Mark Silver is an experienced Fortune 20 CISO, CIO and Chief Compliance Officer, as well as taking on roles as the Chief Risk Officer and CSO for other organizations. Mark has been the CISO for Siemens in the Americas, The Cleveland Clinic, and others including the world’s largest background screening company First Advantage. He has worked in the private and public sectors and across multiple industries including technology, finance, healthcare, manufacturing, transportation and retail. He has successfully executed programs for enterprise information security and security technologies, M&A, security assessments and remediation, risk management, development and implementation of organization-wide security policy, security architecture, and consistent standards and procedures.
Strategizing artificial intelligence and machine learning
Radical new hardware, massive amounts of data, and unprecedented advances are creating a new technology era, as artificial intelligence begins hitting the shores of higher education. During this session, we will introduce the concept and technologies defining AI, and explore the implications for education, including sample use cases happening in universities today. Use this opportunity to solidify your understanding of the possibilities, and how you might want to begin preparing for AI in your institution.
Speaker: Kelly Calhoun Williams, Gartner Research vice president
Dr. Kelly Calhoun Williams is a Research Vice President in Gartner Research, with a focus on Artificial Intelligence and Machine Learning for the Education industry. She has a doctorate in organizational leadership and development, a master's degree in curriculum and instruction, and a bachelor's degree in telecommunications and film, as well as teaching and administrative credentials in California. Dr. Calhoun Williams supports educational end users (CIOs, CTOs, technology and executive leadership) as well as vendor clients wanting insight and assistance with understanding the education marketplace.
Diversifying data and analytics
Algorithms are opinions embedded in code, as Cathy O’Neil exposed in Weapons of Math Destruction. Algorithms silently wreak havoc by influencing decisions on employment, admissions, pricing, policing, and penalties. Diversity needs to be a key principle of data and analytics. Algorithms intentionally need to encompass the diversity that you can see—gender, race, age—and the diversity that you can't see—work style, personality type.
Speaker: Dimitris Geragas, Gartner Consulting vice president
Dimitris Geragas joined Gartner’s Consulting practice in November 2006 in Arlington, Virginia. He brings extensive and demonstrated experience in business alignment, IT strategy and governance, enterprise architecture, information and data strategy and management, and knowledge management. He is an expert in business intelligence, analytics, informatics and knowledge encapsulation and has broad experience in a wide range of business functions, including strategy, marketing, differentiation, finance and business development.
Implementing learning analytics at U-M
The U-M ITS Teaching and Learning team will share their approach to supporting and implementing learning analytics at the university. With U-M faculty providing scholarly leadership in learning analytics and an institutional investment in data science, the T&L team is currently implementing a learning data platform, applying learning data standards, developing a student learning dashboard, and fostering analytics adoption with partners across campus.
- Jennifer Love, senior ERP business systems analyst, ITS, University of Michigan
- Zhen Qian, application developer manager, ITS, University of Michigan