From Pilots to Real Impact

Successful AI adoption isn’t just about technology — it’s about mindset. In this session, we’ll explore how a beginner’s mind can transform the way business users and teams engage with AI. You’ll learn practical strategies to overcome barriers like “expert bias” and discover how structured curiosity fuels faster experimentation and collaboration. You’ll leave with actionable practices to embed structured curiosity into your teams, overcome resistance, and turn learning into your biggest strategic advantage.

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 Glob.AI OS, 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.

Adopting AI at enterprise scale is both a major opportunity and a significant challenge.

Uncertainty, disconnected initiatives, duplicated efforts, limited scalability, and the absence of a clear roadmap are among the most common obstacles.

Where should we begin? How do we get to a successful strategy? This talk presents the key strategies that proved essential in our journey building Globant Coda - our agentic solution for the software development lifecycle - and how these same principles can help any organization achieve its enterprise-level AI transformation.

Managing AI at scale requires more than deploying models — it demands visibility, governance, and cost control. In this session, we’ll explore how Glob.AI OS enables organizations to monitor LLM usage in real time, set consumption limits across projects or teams, and keep costs predictable. By the end of this session, you’ll have a clear understanding of how transparent dashboards and quota management provide the foundation for sustainable AI adoption across the enterprise.

AI workspaces are emerging as the new control panels for enterprise intelligence — environments where organizations can run, manage, and measure AI solutions at scale. In this session, we’ll explore how these workspaces are transforming isolated pilots into connected, governed, and traceable systems of intelligence. You’ll see how market leaders are shaping this trend through human-centered, infrastructure-driven, and governance-focused approaches — and how Globant combines all three within Glob.AI OS’s Workspace.

We’ll show how the Workspace enables teams to execute agents, orchestrate workflows, and track performance in one environment — and how it connects with The Lab and The Console to create a continuous loop of innovation: build, publish, run, and measure.

You’ll leave with a clear understanding of how to leverage Glob.AI OS's Workspace to move from experimentation to execution — making AI operational, measurable, and sustainable across your organization.

Introducing the Design AI Agent, our AI solution that transforms product definitions (epics/ideas) into functional flows and wireframes in Figma.

It accelerates the design process from weeks to minutes, freeing the team to focus on innovation and strategy.

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.

As organizations move beyond experimentation and seek real impact from AI, the sports industry faces a pivotal moment: how to turn vast, complex data ecosystems into faster decisions, smarter operations, and connected experiences. LALIGA, in collaboration with Globant, is embracing this shift by integrating agentic AI across its day-to-day workflows, enabling meaningful transformation at scale.

In this deep dive, Javier Gil, Head of AI Implementation and Development at LALIGA, will share how the organization is deploying the Glob.AI OS platform and the AI Pods model to build a secure, scalable, and human-centered intelligence framework. He will present practical examples of intelligent agents that analyze information, streamline processes, and collaborate with teams to boost performance and creativity.

The audience will walk away with actionable insights into how agentic architectures can drive tangible business value, accelerate decision-making, and unlock new opportunities for clubs, partners, and fans.

Artificial Intelligence delivers its full potential when it reaches every corner of an organization. In this session, we’ll explore how Glob.AI OS's Agentic Hub democratizes access to AI by empowering both technical and non-technical teams to discover and execute AI-driven solutions, bridging the gap between innovation and everyday operations.
We’ll discuss AI adoption challenges, the benefits of making AI accessible to all, and how this transformation is redefining the way companies operate, collaborate, and make decisions.
You’ll leave with a clear understanding of how our Agent Hub works and how it turns isolated experiments into shared intelligence that delivers measurable impact.

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.

Agents are only as powerful as the context they can access. In this session, we’ll explore how Glob.AI OS enables builders to create RAG-enabled agents that leverage a new Knowledge Management layer as a dynamic memory system. You’ll see how agents can connect to multiple information sources — from documents and GitHub repositories to databases — to deliver accurate, business-aware responses. You’ll leave with a clear understanding of how to design agents that combine retrieval with reasoning, ensuring they operate with the right context to solve real enterprise challenges and deliver real business value.

Established pharma brands often struggle to stay innovative.
In this session, discover how Organon and Globant built Project ORBIT — a new digital business model that brings innovation, efficiency, and compliance together.
Through a system powered by AI agents and human expertise, Organon leveraged Glob.AI OS to transform traditional marketing operations into an orchestrated, data-driven workflow— reducing time-to-market, increasing compliance, and revitalizing established brands.
Dive in to learn how this model redefines pharma engagement and what it takes to bridge the execution gap across complex, regulated industries.

The true power of AI emerges when multiple agents collaborate to solve complex tasks. In this session, we’ll explore how teams can use Glob.AI OS to design, configure, and orchestrate agentic processes that go beyond the capabilities of a single agent. Through a practical case, you’ll learn how to connect agents, define workflows, and execute them to deliver measurable business outcomes. We’ll also show how these processes can be automated and scaled, giving teams a practical framework to transform ideas into production-ready solutions.

When facing AI adoption, many organizations fall into AI paralysis — trapped between endless tools, models, and vendors, and uncertain about where to start or how to scale. The risk is clear: investing time and money without ever reaching production or meaningful business value.
In this session, we’ll reveal the golden path that leading enterprises are following to overcome paralysis and design resilient AI ecosystems that stay independent, governed, cost-efficient, and capable of innovating at speed. Through real cases powered by Glob.AI OS, you’ll see how organizations are evolving from isolated initiatives to a unified, agent-driven enterprise model, where human-machine collaboration becomes a real operating advantage.
You’ll leave with a practical framework to scale AI safely and strategically — driving innovation without losing control.

Great products begin with a spark, but transforming that spark into structure is where innovation often slows down. As organizations strive for speed and clarity, product teams face endless meetings, fragmented notes, and delayed definitions that hold back delivery.

In this session, we’ll explore how Globant CODA is reimagining Product Definition through Agentic AI. You’ll discover how the Product Definition AI Agent transforms unstructured discussions into actionable artifacts, reducing cycle times and aligning teams around a shared vision.

You’ll leave with a clear view of how AI can turn collaboration chaos into momentum, enabling product teams to move from idea to backlog with precision and speed

Join us to discover how AI Agents are revolutionizing the game by automating routine processes, cutting operational waste and empowering professionals to focus on innovation. This talk explores how AI-driven incident management delivers faster resolutions, smarter operations and an exceptional customer experience that’s shaping the future of IT support.

AI coding agents are advancing quickly, but turning them into reliable, production-ready systems remains one of the hardest challenges in modern engineering. In this session, we’ll share the ongoing journey of building Globant CODA, our AI coding agent, and the architectural decisions and engineering principles that have shaped its evolution.

You’ll see how iterative learning led us through two major refactorings, why we prioritize code quality over short-term speed, and how dogfooding Globant CODA became a core development practice that exposes issues early and accelerates improvement. We’ll also explore how an AI-first team culture emerged naturally, with AI assisting across the entire development lifecycle, from triage and design to debugging and code review.

You’ll leave with a clear, practical view of what it truly takes to build advanced AI developer tools in a rapidly evolving landscape, and insights you can apply to your own agentic engineering efforts.

As AI reshapes the way we work, the real challenge isn’t technology: it’s mindset. Many organizations struggle to move from awareness to adoption, missing the opportunity to unlock AI’s full potential through their people.

In this session, we’ll share how Globant’s experience with Glob.AI OS and Globant CODA has guided the creation of structured learning paths that accelerate adoption and empower every Glober to collaborate with AI Agents confidently.

You’ll discover strategies to foster a culture of continuous learning and experimentation, and leave with a framework to help your teams embrace AI not as a tool, but as a trusted partner for growth and innovation.

The arrival of the AI Agents era is reshaping how people interact with technology, how companies design their strategies, and how professionals build digital products. In this talk, we explore why agents are redefining user expectations, what it means when decision making becomes anticipatory and proactive, and how this shift places agents at the center of the customer journey.

We also unpack the impact for organizations, from competing for algorithmic visibility to redesigning products for adaptability, context and trust. Finally, we dive into the new responsibilities of modern product teams, who now design behaviors, guardrails and outcomes for systems that learn and evolve.

AI Agents and Process Optimization converge to transform unstructured data into actionable insights with Glob.AI OS. In this talk, you will learn the tangible benefits of this approach, showcasing real-world impacts that not only reduce manual efforts but also transform the way businesses operate, ultimately delivering measurable value. Join us to explore real-world success stories driving efficiency and innovation.

Quality assurance has always been about trust, but in an AI-native world, it’s about evolution. Traditional testing models can’t keep up with today’s development velocity, creating friction between innovation and reliability.

This talk reveals how Globant CODA is leading the shift from manual and automated testing toward Agentic QA, where intelligent Agents plan, execute, and analyze tests alongside humans. Learn how this new approach strengthens quality, boosts efficiency, and closes the gap between code and confidence.

Attendees will gain practical insights into how Agentic QA redefines software testing, empowering teams to deliver faster, smarter, and more resilient digital products.

GeneXus Next is the first native agentic low-code platform designed to build mission-critical enterprise solutions powered by Glob.AI OS. It combines symbolic AI with generative AI, enabling companies to model, generate, and evolve complex systems with precision, long-term maintainability, and full governance.

In this session, we’ll explore how GeneXus Next delivers deterministic code generation, multi-platform deployment, and built-in enterprise-grade capabilities such as security, scalability, automated UI, APIs, and embedded AI agents.

You’ll leave with a clear view of how to build AI-powered applications without vendor lock-in, avoid the PoC trap, and develop end-to-end enterprise solutions faster while maintaining full control over your digital assets.

Most organizations still run on legacy systems — old technologies that are difficult to maintain but too valuable to discard, as they hold decades of business knowledge.
In this session, we will reveal how combining Generative AI (through Glob.AI OS) and Symbolic AI (through GeneXus Next) enables companies to modernize once and for all.
You’ll discover how this dual approach captures the formalized knowledge behind legacy systems and transforms it into a living, evolving architecture — turning code maintenance into continuous knowledge evolution.
You’ll leave with a clear understanding of how to bring “eternal youth” to your code and future-proof your systems, ensuring that what you build today never becomes tomorrow’s legacy.

Developing AI solutions across multiple LLMs often means dealing with fragmented APIs, SDKs, and complex integrations. Glob.AI OS changes that by introducing a unified API that abstracts complexity and lets you define agents once — then connect them to any LLM you choose. In this session, we’ll showcase how the Python SDK and REST API enable teams to build, integrate, and scale agentic processes seamlessly into business applications. You’ll leave with actionable know-how to leverage Glob.AI OS’s unified API for faster, simpler, and future-proof AI adoption.

Most AI pilots never move beyond experimentation. In this session, we’ll show how we transformed a real client workflow into a scalable agentic solution using Glob.AI OS and GeneXus Next — cutting execution time by up to 50 times while meeting enterprise-level security, observability, and scalability requirements. 
We’ll show you how to identify high-value opportunities, design agentic workflows, validate results with end-users, and scale them securely with governance, observability, and low-code delivery. 
You’ll leave with a practical framework to bring agentic AI from idea to production — turning opportunity mapping into enterprise deployment.