From Pilots to Real Impact

Conversational AI delivers its true value when it meets users where they are — whether that’s on a web chat, Slack, Microsoft Teams, or WhatsApp. In this session, we’ll explore how builders can use Glob.AI OS to create agentic flows that orchestrate multiple agents into natural conversational experiences. We will also show how to design once and seamlessly deploy across different channels, ensuring consistent interactions that adapt to each context. You’ll leave with a clear framework to unify conversational experiences across your organization — driving engagement, consistency, and scalability.

Developing new oncology treatments is a race against time — one defined by long timelines, high costs, and massive data complexity.

In this session, we’ll explore how PharmaMar, a global biopharmaceutical leader in cancer research, partnered with Globant to transform its R&D decision-making through an agentic AI approach.

You’ll discover how this collaboration enables scientists to access and connect decades of preclinical and clinical knowledge with real-time external data — accelerating insights, improving accuracy, and reducing uncertainty across research phases.

We’ll explore Glob.AI OS’s role in enabling this transformation, providing the multi-agent framework that powers PharmaMar’s “co-scientist” system — designed to integrate, validate, and operationalize knowledge across the entire R&D cycle.

From discovery to clinical design, you’ll leave with an inside look at how AI is helping PharmaMar bring life-saving treatments to patients faster — and how human expertise and AI can work together to unlock smarter, faster, and safer R&D decisions.

Creating effective AI agents goes far beyond writing prompts —  it’s about making the right configurations, choosing the right tools, and ensuring they can scale from testing to production. In this session, we’ll explore how builders can create, fine-tune, and test agents within Globant Enterprise AI, experimenting with tool integrations and configurations to solve real-world business challenges. You’ll see practical use cases, learn proven best practices for iteration and testing, and understand how to move confidently from prototype to production. This is the essential deep dive for anyone looking to build enterprise-ready agents. You’ll leave with actionable insights to build AI agents that perform reliably, scale efficiently, and deliver measurable business impact.