Ecosistemas Global and OpenLayer will analyze how to scale AI with greater control and traceability.

The free webinar will cover governance, observability, and monitoring of artificial intelligence models in enterprise and regulated environments.

As generative artificial intelligence and agentic systems advance into critical processes, organizations face a new requirement: to evaluate their performance, monitor risks, and demonstrate how they function and under what controls they operate.

In this context, Ecosistemas Global will hold a new edition of its series Connected Solutions 2026, this time in collaboration with Openlayer, with the webinar “AI governance and observability: how to reduce risks and accelerate enterprise adoption”.

The meeting will take place on Wednesday, August 26, held online and free to attend. It is aimed at leaders in technology, innovation, cybersecurity, risk, compliance, and business who are looking to advance the adoption of artificial intelligence with higher levels of control, traceability, and trust.

“The challenge for organizations is no longer just adopting artificial intelligence, but being able to demonstrate how it works, what risks it entails, and the controls under which it operates. Governing AI does not mean stifling innovation; rather, it means creating the conditions to scale it with confidence, traceability, and control.”, , he pointed out Rodrigo Cabot, Gerente de Desarrollo de Negocios, Alianzas y Estrategia Tecnológica de Ecosistemas Global.

During the webinar, we will examine how governance and observability enable the evaluation, monitoring, and scaling of AI models and systems in a secure, measurable, and sustainable manner.

Among the main topics to be addressed are:

  • monitoring of AI models in production;
  • detection of risks, deviations, and unexpected behaviors;
  • traceability of decisions and generation of evidence;
  • compliance and continuous evaluation;
  • Scalability of generative and agentic AI solutions.

The speaker will be Jaime Bañuelos, Head of Strategic Alliances de Openlayer, who leads the company’s global strategic alliances program and works with integrators, resellers, and hyperscalers in North America, Europe, and Latin America.

In his role, he drives the adoption and scaling of generative and agentic artificial intelligence solutions through governance, compliance, observability, and continuous evaluation controls.

The moderation will be handled by Rodrigo Cabot, Gerente de Desarrollo de Negocios, Alianzas y Estrategia Tecnológica de Ecosistemas GlobalCabot holds a degree in Computer Engineering from UNLAM, has completed postgraduate studies in the Administration of Financial Organizations at UBA and in the Strategic Management of Artificial Intelligence at UCEMA, and possesses over 25 years of experience in the IT sector.

Throughout his career, he has led digital transformation, automation, and continuous improvement projects in sectors such as banking, insurance, energy, and healthcare, and he currently heads technological innovation initiatives in Argentina, Brazil, Chile, Spain, Mexico, and the United States.

The webinar is part of Connected Solutions 2026, the series of virtual meetings by Ecosistemas Global, held in collaboration with strategic partners and designed to connect regional challenges with global-scale technological solutions.

Details

Date: Wednesday, August 26
Modality: online

Schedule: Argentina: 12:00 h I Chile: 11:00 h I México: 9:00 h I España: 17:00 h

The activity is free and spaces are limited. Registration will be open until August 21.

Registration: https://ecosistemasglobal.com/gobernanza-y-observabilidad-de-ia-como-reducir-riesgos-y-acelerar-la-adopcion-empresarial/ 

Sobre Openlayer

Openlayer es una plataforma de gobernanza y observabilidad de inteligencia artificial que permite a las organizaciones evaluar, monitorear y gestionar modelos y sistemas de IA. Su propuesta está orientada especialmente a empresas de sectores regulados que requieren mayores niveles de control, cumplimiento, trazabilidad y evaluación continua.

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