This panel discussion will examine the practical implications, opportunities, and risks of how AI is materially shaping software development in enterprise environments. The session is designed to help CIOs and CTOs approach AI-integrated application development with greater intentionality and discipline. Technical, organizational and governance considerations will be discussed, and AI use - from individual developer productivity gains to team-level adoption - will also be explored. Topics will include governance, quality assurance, security controls, and the importance of business knowledge and domain expertise when applying AI to the software development lifecycle. The conversation will maintain a practical focus on integrating AI into the development process at scale, including:

• The roles of AI in software development - tool vs. strategic capability vs. development/ops partner
• Where real ROI is being generated
• Reducing risk
• Capabilities and limitations in enterprise environments
• Impact on greenfield vs. brownfield development
• Considerations for technical debt, maintainability, QA and governance
• The importance of proper business context
• Lessons learned and recommendations

With these questions in mind, we will explore learnings, opportunities and implications for integration of AI into the SDLC. Note that while the panel discussion will cover human implications, it will intentionally deemphasize the broader question of impact to jobs and the future of work.

Moderator: Matthew Krieger, President, Cober Inc.

Matthew Krieger is a technologist and executive with experience in IT, manufacturing and nonprofit. He is President of Cober, Inc., an industrial heating equipment manufacturer that provides large scale oven systems to companies such as Proctor and Gamble, Corning and GE. Previously, Matthew held senior IT leadership positions at Time and the Reader’s Digest Association in the roles of chief technologist and IT head, global data center management, strategy and governance.

Matthew founded and built Whysper, a text-to-speech audio content aggregator. He serves on the board of the International Microwave Power Institute and advises Tech 2 Success, Cyber-Seniors and Creative Coefficient. Matthew is board Chair of the Reader’s Digest Partners for Sight Foundation, a non-profit grant maker focusing on direct services to increase the independence of blind and visually impaired individuals.

Matthew’s perspective on AI is informed by his work at Cober in the manufacturing space and his advisory work.

Matthew is a frequent presenter on topics of business and technology and the intersection of both. He has a Master of Science in Computer Science from NYU Poly and a Bachelor of Science in Physics from the University of Connecticut.

Panelists:

Kaushal Vinodchandra Sheth

Kaushal Vinodchandra Sheth is the Chief Architect for GFT Technologies USA. He has over 28 years in building solutions across the US, EU and Latin America for banks and capital markets. Kaushal co-founded Sophos Solutions, a leader in financial technology solutions in Latin America, where it was recently acquired by GFT Technologies.

He is a graduate of NIIT and the Harvard Business School’s General Management Program. Kaushal co-founded many other startups such as Deepmoney.ai and Brain.studio, and advises multiple Fintech companies. He is also a board member of PTM Commercial Card and ITR Machines, both in the Fintech space. He is a leading expert in emerging Computational Neuroscience field and focused on a mission to build next generation of intelligent machines.

Dr. Jeffrey Nesheiwat

Dr. Jeffrey Nesheiwat is a senior engineering leader with expertise in developer platforms, high-performance computing, and AI enablement. He holds a Doctorate in Computer Science from Rensselaer Polytechnic Institute.

Earlier in his career, he worked at NASA’s Jet Propulsion Laboratory, where he contributed to high-performance computing research, the Deep Space Network, and mission-critical infrastructure supporting the Cassini space probe. He later joined Oracle Corporation, working in the Server Technologies group on logical standby technologies for high-availability and disaster-recovery systems.

He has spent the past 20 years at FactSet and currently leads the Developer Enablement and Automation organization as Director. He is responsible for developer tooling, CI/CD platforms, internal developer experience, and engineering productivity at scale. Over the past several years, he has focused extensively on deploying, governing, and empirically measuring the impact of AI-enabled development tools, helping organizations translate AI adoption into measurable gains in developer efficiency, quality, and delivery velocity.

Abdul Muktadeer Mohammed

Abdul Muktadeer Mohammed is a technology executive with over 20 years of experience leading enterprise software development and modernization initiatives in highly regulated environments. Most recently, he served as VP of Engineering at Risepoint, an EdTech company that supports more than 100 nonprofit universities and colleges. There, he led the modernization of enterprise digital platforms spanning digital marketing, omnichannel student engagement, and data-driven decisioning to improve outreach, enrollment, and retention.

Earlier in his career, Abdul held senior technology leadership roles at Bank of America, where he led large-scale enterprise data integration and contact center platforms, with a strong focus on operational efficiency and regulatory compliance within financial services.

In recent years, Abdul has focused on the practical adoption of AI in software development—moving beyond individual productivity tools toward disciplined, enterprise-ready adoption of AI across the software development lifecycle. His perspective is shaped by hands-on experience navigating complex brownfield systems and globally distributed engineering organizations operating at scale.