Scale AI Without Starting Over

Most enterprises don't struggle to launch AI pilots. They struggle to scale them without locking themselves into a model, vendor or architecture they'll have to rip out in eighteen months. See how to move from custom to commercial AI models, balance cost against quality and future-proof your platform so the next generation of models doesn't send you back to square one.

Experience AI in Action

Rather than speaking in abstractions, we’re showing what’s possible in practice. A generative AI-powered solution that was designed to transform the shopping experience in live production environments, not just in a lab. It creates a real-time, adaptive customer journey that responds to shopper intent as it happens and is already delivering measurable results, including stronger engagement and higher conversion rates.

It was developed to answer a question many enterprise leaders are asking: can generative AI truly perform at scale, under real commercial conditions, without driving up cost or disrupting the surrounding architecture? Discover the strategy behind it, how it was built, and the outcomes it has delivered.

See the solution live in action. Our team will be available to demonstrate the adaptive customer journey in real time and discuss your specific use cases, including where your current stack may be introducing the kind of lock-in risk addressed in our session.

AI at Scale: Lessons Learned from Building Enterprise AI Platforms

Breakout Session
November 16, 4:45 PM - 5:15 PM

The best AI model of today may not be the best-performing model of tomorrow. How can businesses scale AI while protecting long-term investment? Using a virtual try-on solution as an example, this session explores the strategic choices behind moving from custom to commercial AI models, how to balance cost and quality, and how to prepare AI platforms to adopt the next generation of models without starting over.

Speakers

• Olaf Acker
• Mikhail Tolmachev

Protect Your AI Investment Before You Scale Further

The cost of scaling AI the wrong way isn't just wasted spend, it's rebuilding from zero when the next model generation lands. Talk to EPAM's team about how to scale with an architecture built to last.