Working with large-scale data and advanced Artificial Intelligence technologies (including automation, machine learning and robotics) requires a special kind of talent. Organizations that develop new strategies for attracting, nurturing and retaining the right kind of talent to advance their digitization agenda will innovate faster than their counterparts. Knowing how to recognize the type of individuals to hire and retain will be half the battle. The other half of the battle will include exploration of new ways of organizing teams of individuals to leverage the digitization trends. Developing new strategies for partnerships and an eco-system of collaborators will also be a critical facet of an organization’s AI & Analytics talent strategy.
Join us for a half-day workshop of industry-academia leaders to discuss, debate, and present ideas to win the AI & Analytics talent war. The workshop will feature three panels featuring 11 distinguished industry leaders, who will present their views, opinions, and predictions of the current and future trends to win the AI & Analytics talent war.
…the main intellectual advances will be made by men and computers working together in intimate association.
– J.C.R Licklider, 1960
How University & Industry Partnerships can evolve to fill the talent gaps and train the next generation of workers.
Identifying new talent, and developing & retaining existing talent, for an AI & Analytics rich work environment
New Strategies for the Digital Era – rethinking internal structures and external partnerships
Thomas Choi is Harold E. Fearon Chair of Purchasing Management at W. P. Carey School of Business, Arizona State University. He is Executive Director of CAPS Research, a joint venture of Arizona State University and the Institute for Supply Management. He also co-directs the Complex Adaptive Supply Networks Research Accelerator. He has published in the Academy of Management Executive, Decision Sciences, Harvard Business Review, Journal of Operations Management, Production and Operations Management and others. He has consulted with numerous corporations including LG Electronics, Toyota, Volvo, and U.S. Department of Energy. He served as co-EIC for the Journal of Operations Management from 2011 to 2014. In 2018, he was chosen as a Highly Cited Researcher by Clarivate Analytics for having “multiple highly cited papers that rank in the top 1% by citations for field and year in Web of Science.”
Martin Colvey is currently an IT Director at Insight Enterprises responsible for strategic architecture and technology governance for internal solutions. With a degree in computer science and over 20 years of experience in the field with fortune 500 companies like Motorola, Computer Sciences Corporation and Insight Enterprises, Colvey Martin pushes the boundaries of IT from within. While a software engineer within Motorola he designed internal collaboration and security software for various business units as well as served as a solutions architect to solve companywide issues and design next generation collaboration architecture within the Company. While at Motorola he also as assisted in the technical portions of the divestitures of Motorola’s business units to Freescale, General Dynamic, Nokia Siemen, Motorola Solutions and Motorola Mobility (Google).
Ken Corless is a principal in Deloitte’s Cloud practice, serving as the CTO. As CTO, he is responsible for evangelizing the use of Cloud at enterprise scale, prioritizing Deloitte investment in Cloud assets, and driving the talent strategy for Deloitte’s technologists. Ken also remains very client facing and is responsible for solutioning and delivery of some of the most pioneering client engagements.
Ken’s experience brings together digital, cloud and emerging technologies to help client create breakaway products, services and processes. Ken has received industry accolades for his leadership, innovative solutions to business problems, and bold approaches to disruption, including being named to Computerworld Premier 100 IT Leaders and CIO magazine’s Ones to Watch. Additionally, Ken was the lead author for several Deloitte Tech Trends (Inevitable Architecture, Reengineering Technology) and has written several articles for the Wall Street Journal CIO Edition.
Bruce Gilmore is the Director Supply Chain Management for Mayo Clinic’s Southwest Region. He is relatively new to healthcare but brings 30 years of manufacturing supply chain leadership experience to Mayo. Bruce is also a Professor of Practice on the faculty of Arizona State University’s Supply Chain Management department where he teaches graduate and undergraduate courses and does research in areas of interest. His expertise was developed during a fruitful career with Intel Corporation in multiple areas of supply chain leadership including: strategic sourcing, supplier development and relationship management, planning, negotiations, logistics, finished product distribution, transportation, materials management, 3rd-party outsourcing, and capital equipment selection/development.
Uday Katira is a Managing Director at Deloitte Consulting and serves as their US Delivery Center Leader for the Strategy & Analytics portfolio of offerings. In his role, Uday leads over 500 personnel and delivers value to clients through technology enabled business solutions in the area of data, analytics, cognitive and artificial intelligence through a variety of offsite / near-shore services across product vendor platforms.
Brian Kirkland is Chief Technology Officer for Choice Hotels International, Inc. (NYSE: CHH), one of the world’s largest hotel companies. In this role, he oversees the company’s Information Technology organization, and is responsible for leading overall IT strategy, infrastructure, development, all aligning with Choice’s business objectives.
Mr. Kirkland joined Choice Hotels in 2015 as vice president of engineering, where he led engineering development and operations at the company’s Phoenix-based technology headquarters. Recently, Mr. Kirkland notably guided Choice’s efforts to sucecssfully design and launch the industry’s first new global reservation system in 30 years, choiceEDGE.
Dr. Sreekar Krishna is Managing Director of Data Science, Artificial Intelligence & Innovation at KPMG LightHouse, an AI Center of Excellence within KPMG’s Innovation & Enterprise Solutions Division. He specializes in innovative ideas centered around Big Data Machine Learning and Knowledge from Unstructured Data. Working with KPMG’s customers, he has helped evangelize the transition of various industry partners from the traditional data warehousing to a more sophisticated Big Data Analytics driven culture. He specializes in Big Data AI solutions that improve business process and customer engagement. Specifically, he focuses on the core areas of Machine Learning and its associated technologies like Natural Language Processing, Billion-scale Data Processing, Ranking, Information Retrieval and Simulation.
Joseph Martinez is the Chief Procurement & Financial Operations Officer – MUFG where he is responsible for sourcing, travel, procurement to pay operations, corporate real estate, corporate insurance, corporate security and 1st line third party risk management for MUFG. Prior to joining MUFG he was the Head of Global Sourcing – APAC at Deutsche Bank in Singapore.
Dr. Tianbing Qian (TQ) is SVP & Chief Digital Information Officer at Ports America, the largest marine terminal operator and stevedore service provider in the US. As a member of company’s Senior Leadership Team, TQ is responsible for information technology function and lead the overall digital transformation efforts. TQ has over twenty years of experience applying advanced analytical techniques such as optimization and machine learning to solve complex real world problems. He has created enterprise-wide analytics teams that combine quantitative modeling, information technology, and business analysis to turn massive data into value-add insights, and helped companies win numerous customer and industry recognitions, including five CIO 100 awards.
Sanjiv Rastogi currently serves the State of Arizona, Department of Economic Security as an Assistant Director and Chief Information Officer. He is focused on improving timeliness and quality of service provided to 2.3 + million citizens through information technology enabled transformation at the largest IT organization in state government. Before joining public service, he was the co-founder and CEO of a healthcare software company after a career in private sector where he held leadership positions at HP, Microsoft, and Honeywell.
Dr. Juliana Tsai is a leader and professor of strategy and analytics. She is presently the Executive Director of Business Analytics at Applebee’s. She has more than fifteen years of leadership experience in analytics, product, engineering, and consulting at Fortune 500 and mid-sized organizations including Oracle, eBay, Boingo Wireless, and Dine Brands Global (Applebee’s and IHOP). Dr. Tsai has established a professional career in business and technology. Over the years, she has worked globally in North America, South America, Europe, Asia, and Australia.