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Snowy Mountains

Your AI tools are live. They just don't know about each other.

Register now!

What it takes to build connected AI across your commerce and content stack.

Online Masterclass

Key takeaways

  • Why AI tools built in isolation create uneven experiences across your commerce touchpoints; from product content → customer service.

  • Why retailers and e-commerce businesses with composable, API-driven architecture are already closer to connected AI than they think.

  • What a shared intelligence layer looks like, and what your commerce stack needs in order to support it across content, search and customer experience.

We'll discuss:

The retailer AI stack in practice: what your chatbot, RMA tool, product content and site intelligence each know and what they are missing.

The fragmentation problem: why composable architecture and the modularity you have already built enables a shared AI intelligence layer.

What a shared intelligence layer looks like: why AI needs real-time access to your brand, tone of voice and product knowledge to work.

Meet your Masterclass hosts

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Jani Maljanen, Head of Engineering, Vaimo Nordics

With 15+ years of experience in software engineering in the areas of digital commerce and content, Jani helps companies make sense of complex technology landscapes and the growing impact of AI. His work spans engineering leadership, architecture, and delivery, focusing on how technology and teams work together in practice and on building scalable technology platforms that deliver real business value.

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Giuseppe Sessa, Global Consulting Director, Customer Data, Insights & Activation

With 30+ years in data and analytics, Giuseppe has lived every chapter of the field's evolution — from data warehousing through digital analytics and personalization to today's AI-driven solutions. As Consulting Director of the Data and AI team at Vaimo, he helps clients put AI and data exactly where it's needed, from building the underlying data stack to orchestrating personalized, end-to-end customer experiences. He brings a mix of hands-on technical depth and strategic perspective to how organizations adopt AI and turn their data into measurable business value.