Amol Agade
Amol Diwakar Agade | VP, Platform & DevOps Enablement – Driving Reliability, Release Excellence & Intelligent Automation at Comerica Bank
Detroit, Michigan, United States
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Amol Agade is a VP-level Platform and DevOps Enablement leader with over a decade of experience building and scaling enterprise CI/CD platforms, SRE practices, and AI-driven automation in regulated environments.
His work focuses on applying artificial intelligence to the software delivery lifecycle—including intelligent pipelines, test optimization, predictive failure detection, policy-as-code, and responsible AI governance for production systems.
Amol has led organization-wide DevOps and reliability transformations, enabling teams to ship software faster, safer, and with higher confidence. He regularly shares practical insights through writing and conference talks on modern DevOps, platform engineering, and AI-enabled operations.
✍️ Writing: https://amolagade.medium.com/
🔗 LinkedIn: https://www.linkedin.com/in/aagade/
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Policy-as-Code Meets AI: Governing Java CI/CD at Scale
As Java CI/CD pipelines become faster, more automated, and increasingly influenced by AI, traditional governance models—manual reviews, static gates, and after-the-fact audits—can no longer keep pace. The result is either slowed delivery or uncontrolled risk.
In this lightning talk, Amol Agade explores how policy-as-code and AI converge to create intelligent, self-governing Java delivery pipelines. You’ll see how compliance, security, and reliability requirements can be codified and enforced automatically across the build, test, and deployment lifecycle, without introducing friction for developers.
The session covers practical patterns such as AI-assisted risk scoring for Java builds, policy-driven deployment decisions, observability-backed enforcement, and explainable automation that satisfies audit and regulatory expectations. Special emphasis is placed on responsible AI practices—ensuring transparency, traceability, and human-overridable decisions in automated pipelines.
Attendees will leave with a clear understanding of how Java platforms can scale safely by embedding governance directly into CI/CD workflows—transforming compliance from a bottleneck into an enabler of speed, trust, and reliability.
When Pipelines Think: Machine Intelligence for Faster, Safer Releases
Software releases in financial operations cannot afford downtime—yet traditional CI/CD pipelines are often reactive, alerting teams after failures occur.
In this 5-minute Ignite talk, Amol Agade, VP of Platform & DevOps Enablement at Comerica Bank, shows how pipelines can think for themselves. Learn how AI-powered predictive models, intelligent test prioritization, and self-optimizing workflows reduce build/test failures, accelerate delivery, and safeguard critical systems.
Attendees will gain insight into turning telemetry into actionable intelligence, building adaptive CI/CD pipelines, and implementing risk-based release scoring—all while maintaining high reliability, compliance, and developer productivity.
The Future of Financial Platforms: When AI, Automation, and Reliability Converge
Financial platforms power billions of transactions—but most are still operated with reactive monitoring, manual controls, and fragile release processes.
In this 5-minute Ignite talk, Amol Agade shares how the future of financial platforms is being reshaped by the convergence of AI, automation, and reliability engineering. Drawing from enterprise-scale experience, he explains how predictive observability, intelligent CI/CD pipelines, and policy-driven automation are transforming platforms from static systems into self-regulating, resilient services.
Attendees will see how embedding intelligence directly into delivery and operations enables faster releases, stronger compliance, and higher availability—proving that in modern finance, speed and stability are no longer trade-offs, but outcomes of the same design.
From Outages to Intelligence: Predictive Observability in Financial DevOps
In financial operations, even a few minutes of downtime can cost millions and shake customer trust. Traditional monitoring reacts after failures occur—but what if we could anticipate issues before they impact users?
In this 5-minute Ignite talk, Amol Agade, VP of Platform & DevOps Enablement at Comerica Bank, shares how predictive observability transforms financial systems from reactive to intelligent and self-healing. Learn how AI-powered anomaly detection, enterprise-scale telemetry, and intelligent alerting reduce false alarms, accelerate responses, and ensure high system reliability.
This session offers a fast, compelling glimpse into turning telemetry into actionable intelligence, empowering DevOps teams to prevent outages, improve operational efficiency, and build trust in critical financial systems.
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