Generative AI is rapidly shifting from experimental to essential in modern software development. This panel will explore how organizations can strategically embed generative AI into the software engineering lifecycle — from design and coding to testing and maintenance — to drive productivity, code quality, and innovation. Experts will discuss practical steps, governance, and overcoming integration barriers.

• Identifying high-value entry points for generative AI within existing SDLC stages, including coding, documentation, and QA.
• Balancing AI-generated code with human oversight to ensure security, compliance, and maintainability.
• Establishing governance frameworks for responsible AI use across engineering teams.
• Managing cultural and workflow shifts: equipping developers to collaborate effectively with AI tools.
• Measuring ROI and success metrics when integrating generative AI into engineering processes.

As Generative AI unlocks new possibilities across landscapes, GE Appliances is taking a strategic approach to where it builds vs where it buys. In this session, Adam Jones, Senior Director of Software Engineering – Cloud & IT shares how GE Appliances is developing custom integrations and user experiences in-house. This session explores how the team balances speed, ownership, and long-term value across its GenAI portfolio.

•        How GE Appliances evaluates which GenAI solutions to build internally vs. buying off-the-shelf

•        Techniques for identifying AI opportunities that create real ROI—not just hype—across the organization.

•        Frameworks for identifying high-ROI AI use cases that solve real business challenges

•        GE Appliances framework for evaluating current AI use cases and technology stacks against measurable business outcomes.

•        Practical guidance on balancing speed, cost, and long-term AI capability development in an enterprise context