AI in Business Conference

Chris Berry leads OhioX, a statewide nonprofit dedicated to building Ohio into a hub for technology and innovation.

Under Chris’s leadership, OhioX has grown into a member-based organization that unites leaders from Fortune 500 companies, universities, research institutions, startups and technology companies across the state. OhioX connects Ohio’s tech community, champions the people and companies driving progress, and advocates for policies and partnerships that strengthen the state’s economy.

Through statewide programs, industry convenings, public-private partnerships and storytelling initiatives, Chris and OhioX help elevate Ohio’s standing in the national technology landscape. OhioX also publishes OhioTechNews.com, the organization’s media platform covering the companies, leaders, investments, jobs, events and trends shaping the state’s tech economy.

The organization’s work spans emerging technologies, workforce development, entrepreneurship, corporate innovation and artificial intelligence, alongside ongoing efforts to inspire the next generation of Ohio tech talent.

Before founding OhioX, Chris served as chief of staff and director of communications in the Ohio Treasurer’s office. He began his career on Capitol Hill in Washington, D.C., working for a former Speaker of the House.

Over more than a decade, Chris has built and led high-profile campaigns and initiatives spanning government, public affairs, technology and economic development. His work has been quoted, featured or covered by The Wall Street Journal, CNBC, the Associated Press, FOX Business, Forbes, Fortune and hundreds of other media outlets worldwide.

Tinglong Dai is the Bernard T. Ferrari Professor of Business at the Johns Hopkins Carey Business School. He co-chairs the Johns Hopkins Workgroup on AI and Healthcare and co-leads Johns Hopkins’ Bloomberg Distinguished Professorship cluster on medical AI. His work focuses on integrating AI into clinical workflows to improve productivity, access and equity while preserving human judgment, safety and accountability. A vice president at INFORMS, he is founding department editor for AI in operations at Manufacturing & Service Operations Management, associate editor at Management Science, senior editor at Production and Operations Management, and editor at large at npj Digital Medicine. He publishes in premier journals across operations, marketing and medicine and is quoted hundreds of times in outlets including the Associated Press, Bloomberg, CNN, The New York Times, NPR, The Wall Street Journal and The Washington Post, and has appeared on BBC News, CNBC and PBS NewsHour. Poets & Quants named him one of the World's Best 40 Under 40 Business School Professors. He earned his PhD from Carnegie Mellon University in 2013.

Jojy Mathew is the founder and CEO of DataModal Inc, a next-generation data and AI technology company helping enterprises transform fragmented information into trusted, machine-ready business context. A recognized global leader in data, analytics and artificial intelligence, Jojy advises organizations on building governed data foundations, scaling AI and agentic solutions, and translating emerging technologies into measurable business outcomes.

Before founding DataModal, Jojy was a principal and global financial services data, analytics and AI leader at Deloitte, where he led major data modernization and AI-driven transformation initiatives for global institutions. Previously, at Capgemini, he served as senior vice president and global practice leader for Enterprise Information Management and Strategy Consulting. Drawing on more than three decades of international leadership and technology experience, Jojy brings a distinctive combination of strategic vision, business domain acumen, deep technical expertise and proven execution to the future of enterprise AI.

Param Vir Singh’s research focuses on how AI and algorithmic systems are transforming markets, shaping consumer trust and influencing platform strategy, pricing and fairness. He is passionate about helping organizations and policymakers understand and navigate the responsible deployment of emerging technologies.

Param leads the Collaborative AI Initiative at CMU — an effort to reimagine business education through generative AI. The initiative is building adaptive, interactive learning environments that mirror real-world complexity and better prepare students for the decisions they’ll face in modern organizations.

His work has been featured in The Wall Street Journal, Financial Times, CNN, Forbes and Bloomberg and has been cited in the U.S. President’s Economic Report to Congress. Param has received the INFORMS Information Systems Society Distinguished Fellow Award, the Don Lehmann Award, the John DC Little Award and he was a finalist for the Don Morrison Long-Term Impact Award.

He has served as director of the PNC Center for Financial Services Innovation, leading a $5.5M renewal of its research program. Param is also a senior editor at Information Systems Research and associate editor at Management Science. He has mentored several PhD students who have gone on to faculty roles at Harvard, NYU, Michigan and other top institutions.