Experience the difference. Meet your peers, talk with experts, build your network, and turn insights into action.
Manjunath Bhat
Distinguished VP Analyst
Gartner
Speaker Topics
- AI Operationalization and Governance
- AI Technology and Infrastructure
- Agentic AI
- AI Value and Cost Management
- Emerging Technologies
Speaker Bio
Manjunath (Manju) Bhat is a Distinguished Research VP and Gartner Fellow in the software engineering practice based in Sydney. He covers technologies and practices that span software engineering, AI engineering, security engineering and platform engineering. Manju views the impact of Generative AI on software engineering through two perspectives - building intelligent DevSecOps pipelines for zero-friction software delivery and building intelligent applications and the agent development life cycle. He has led foundational work and launched new markets and hype cycles - examples include Eval-driven development, AI evaluations and observability platforms, optimizing costs and reliability using AI Gateways, AI-native software software engineering, future of software engineering 2030, market guide for software supply chain security, Magic Quadrant for DevOps Platforms (2023) and Hype Cycle for Platform Engineering (2024).
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Sessions
Monday, 16 November, 2026 11:30 AM - 12:00 PM IST
Top Strategic Trends in Software Engineering for 2026 HY2
Manjunath Bhat,
Distinguished 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 that software engineering leaders and their teams should be tracking in 2026 and beyond.
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Tuesday, 17 November, 2026 12:30 PM - 01:00 PM IST
Reduce Opex and AI Token Costs With Platform Engineering
Manjunath Bhat,
Distinguished VP Analyst, Gartner
AI’s explosive growth — especially agentic AI — has unleashed a new era of opex volatility, outpacing the predictability we achieved with cloud FinOps. Unlike cloud, AI’s inference and token costs are elusive, often blindsiding organizations as adoption accelerates. This results in chaotic, runaway expenses. Platform engineering must make cost control a first-class citizen, embedding financial accountability into every paved road to harness AI’s power without losing control of the bottom line.
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Tuesday, 17 November, 2026 02:30 PM - 03:15 PM IST
Ask the Analyst: How to Rein in Token Costs When Adopting AI Coding Agents
Manjunath Bhat,
Distinguished VP Analyst, Gartner
Rising token costs are a major barrier to scaling AI coding agents. Join this interactive session to explore how to track usage, prove ROI per developer and implement AI FinOps without limiting innovation. Bring your questions to discuss with peers and a Gartner expert, including how to accurately track usage and measure ROI per developer, implement AI FinOps to forecast and control token spend without stifling innovation and avoid vendor lock-in while optimizing costs at scale.
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