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  • IMG 5022
    5 mins

    AI Takes the Stage at Opticon 2025: A Closer Look at Optimizely Opal

    The UKAD team visited Opticon25 in NYC! Here you can find our impression about the event, and a brief overview of Opal, an advanced AI assistant for marketing and creative teams, which we liked the most among the novelties announced at this event.
  • AI In B2B
    4 mins

    AI in B2B ecommerce

    The UKAD team explores how AI is being used across the B2B ecommerce lifecycle to quietly improve the way things already work. It covers real-world use cases, practical benefits, and what teams should know before getting started, including search and demand forecasting, pricing, support, and content management. If you’re dealing with scale, complexity, or growing expectations, this guide is written for you!

  • We’Re Now A Microsoft Solutions Partner For Data & AI (Azure)
    2 mins

    We’re now a Microsoft Solutions Partner for Data & AI (Azure)!

    UKAD has been named a Microsoft Solutions Partner for Data & AI (Azure). In this post, we explain what this recognition means, how it reflects the way we approach AI development, and what kind of support businesses can expect when working with us, like building AI tools or integrating machine learning into real operations.

  • How Much Does It Cost To Build An AI Assistant? Hero
    6 mins

    How much does it cost to build an AI Assistant?

    Thinking about building an AI assistant but unsure what it actually involves or how much it might cost? This guide breaks it down in plain terms. You’ll learn what affects the price, how long development takes, and what technologies are involved. We’ll also look at hosting options, ongoing costs, and smart ways to keep your AI budget under control.

N8n For AI Development
10 mins

n8n for AI development: Automating workflows with Artificial Intelligence

Learn how n8n enables efficient automation of AI workflows through a low-code interface, 420+ integrations, and support for custom logic. Discover how teams can quickly build, deploy, and manage AI-driven processes while maintaining complete control over data and infrastructure. Ideal for DevOps engineers and business leaders integrating AI into real operations.

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