Pratik Patel is VP of Developer Relations at Azul Systems. An all around software and hardware nerd with experience in the healthcare, telecom, financial services, and startup sectors.
AI Architecture for Tech Leaders: Building Blocks for AI Applications
The AI space is moving incredibly fast, it seems new methodologies and technologies are coming every week. How’s a technology leader (whether your a VP Engineering, Software Dev Manager or Team Lead) supposed to understand what are the true building blocks for this new class of applications. How do you scope an AI development project, both in terms of developer time and cloud & AI infrastructure? Should you buy AI hardware or pay for API access to OpenAI, Claude, Gemini, etc? Do you have sensitive information that you want to keep from leaking out to an external LLM provider? In this session, we’ll tackle these issues and also discuss the evolution of applications and the difference between: existing applications that have added AI capability as an accessory this new class of applications that are built with AI in mind from the start This session is intended to be interactive - I’ll start by laying the foundation for building AI applications today, and we’ll discuss the experiences of the tech leaders in the room so everyone can share and learn from each other.
A conference for Tech Leaders on the present and future of Artificial Intelligence
Includes a pass for the Devnexus Tech Leadership Track
8 practical sessions • Lunch Included • Networking Reception
We are past the point of asking if AI will change your business. The question is now how fast and how effectively you can wield it.
ADVANTAGE is the premier gathering for the technology leaders charged with navigating the AI revolution. Designed exclusively for CTOs, CIOs, VPs of Engineering, and Technical Leads, this isn't a conference about theoretical research—it’s a summit on practical implementation, governance, and scale.
In an era of overwhelming noise, ADVANTAGE provides the signal. We dissect the difference between flashy demos and production-ready architecture. We explore how to upskill your workforce, govern your data, and integrate LLMs into legacy systems without breaking them.
Join your peers to define the future of your stack, your product, and your organization.
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AI For Tech Leaders Summit
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