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Joachim Herschmann
VP Analyst
Gartner
Speaker Topics
- Artificial Intelligence (AI) and Agents
- Software Engineering and Application Development
- Emerging and Disruptive Technologies
Speaker Bio
Joachim Herschmann is a VP Analyst on the Software Engineering Design and Development team. He helps CIOs, IT and Software Engineering Leaders build their software development strategies. Mr. Herschmann's research focuses on AI-augmented software development, the disruptive force of AI Agents in software engineering, AI-augmented software testing. continuous quality and digital immunity. He has been leading the Top Strategic Trends in Software Engineering for several years in a row and his insights and coverage of software engineering technologies enable clients to make faster and smarter technology decisions.
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Sessions
Tuesday, June 02, 2026 12:30 PM - 01:00 PM PDT
Top Strategic Trends in Software Engineering for 2026
Joachim Herschmann,
VP Analyst, Gartner
Thriving in times of intense economic and social volatility requires organizations to find new ways to empower their software engineering teams to increase productivity, efficiency and effectiveness. This session will provide Gartner's latest and best guidance on the actionable trends' software engineering leaders and their teams should be tracking in 2026 and beyond.
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Wednesday, June 03, 2026 09:00 AM - 09:30 AM PDT
How to Test AI-Based Systems
Joachim Herschmann,
VP Analyst, Gartner
Evaluating and testing AI-infused software is a new challenge. Traditional software testing assumes a predictable system. AI systems are unpredictable, uncertain and unreliable, which creates risk for AI products. This session provides insights about challenges, best practices and focus areas to give AI teams confidence in the reliability of their AI and ML applications.
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Wednesday, June 03, 2026 01:45 PM - 02:15 PM PDT
Magic Quadrant Power Session: AI Coding Agents and AI-Augmented Software Testing Tools
Joachim Herschmann,
VP Analyst, Gartner
Philip Walsh,
Sr Director Analyst, Gartner
AI-augmented software engineering tools are context-aware, data-driven and increasingly autonomous tools, enabling the faster delivery of higher quality products. We discuss findings from Gartner's Magic Quadrants for AI coding assistants and AI-augmented software testing tools. We address questions around how Gartner defines these markets, the mandatory and common product features, the best vendors for your organization, the main use cases, and how complementary these solutions are.
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