GenAI in platform engineering: 5 keys to adoption & impact
This session will explore five critical strategies for successfully integrating Generative AI into platform engineering. Ajay Chankramath will examine how to address adoption challenges, enhance developer experience, and create measurable business impact through GenAI-driven automation and predictive insights.
Generative AI is transforming platform engineering by enabling intelligent automation, predictive insights, and a more efficient developer experience. However, adoption hurdles, trust concerns, and unclear ROI can limit its effectiveness. In this session, Ajay Chankramath will explore five key strategies for embedding GenAI into internal platforms, ensuring it drives real business value. Chankramath will discuss how to align AI-driven automation with developer pain points, improve platform usability, apply product management principles for wider adoption, build trust through observability in AI recommendations, and manage cost-performance trade-offs. Attendees will gain practical insights from real-world implementations and learn how to create Agentic platforms that are both intuitive and impactful.
GenAI in platform engineering: 5 keys to adoption & impact
This session will explore five critical strategies for successfully integrating Generative AI into platform engineering. Ajay Chankramath will examine how to address adoption challenges, enhance developer experience, and create measurable business impact through GenAI-driven automation and predictive insights.
Panelist

Panelist

Panelist

Moderator

Ajay Chankramath
CTO, Brillio
Generative AI is transforming platform engineering by enabling intelligent automation, predictive insights, and a more efficient developer experience. However, adoption hurdles, trust concerns, and unclear ROI can limit its effectiveness. In this session, Ajay Chankramath will explore five key strategies for embedding GenAI into internal platforms, ensuring it drives real business value. Chankramath will discuss how to align AI-driven automation with developer pain points, improve platform usability, apply product management principles for wider adoption, build trust through observability in AI recommendations, and manage cost-performance trade-offs. Attendees will gain practical insights from real-world implementations and learn how to create Agentic platforms that are both intuitive and impactful.
GenAI in platform engineering: 5 keys to adoption & impact
This session will explore five critical strategies for successfully integrating Generative AI into platform engineering. Ajay Chankramath will examine how to address adoption challenges, enhance developer experience, and create measurable business impact through GenAI-driven automation and predictive insights.
Generative AI is transforming platform engineering by enabling intelligent automation, predictive insights, and a more efficient developer experience. However, adoption hurdles, trust concerns, and unclear ROI can limit its effectiveness. In this session, Ajay Chankramath will explore five key strategies for embedding GenAI into internal platforms, ensuring it drives real business value. Chankramath will discuss how to align AI-driven automation with developer pain points, improve platform usability, apply product management principles for wider adoption, build trust through observability in AI recommendations, and manage cost-performance trade-offs. Attendees will gain practical insights from real-world implementations and learn how to create Agentic platforms that are both intuitive and impactful.
GenAI in platform engineering: 5 keys to adoption & impact
This session will explore five critical strategies for successfully integrating Generative AI into platform engineering. Ajay Chankramath will examine how to address adoption challenges, enhance developer experience, and create measurable business impact through GenAI-driven automation and predictive insights.
Panelist

Panelist

Panelist

Host

Ajay Chankramath
CTO, Brillio
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