JS Jimenez is a seasoned expert in Enterprise Architecture and Digital Transformation, with over 35 years of experience in ERP, CRM, and BI system implementations across national and international projects. A graduate in Production Engineering (UFSCar), Information Technology Management (FIAP), and an MBA in Solutions Architecture (FIAP).

As a founding partner of eVOLVE since 1997, he has played a pivotal role in driving innovation and efficiency in organizations across multiple industries and has collaborated with leading consulting firms such as Andersen Consulting (now Accenture) and Trevisan Consultores Associados, as well as major companies in Agribusiness and Information Technology.

For the past 18 years, he has focused exclusively on Enterprise Architecture and Digital Transformation, providing specialized consulting and training using solutions from top EA tool providers in the international market.

JS will be delivering a Keynote talk themed “Enterprise Architecture: Driving Innovation, Agility, and Strategic Growth“.

In an era of rapid technological evolution and competitive disruption, enterprise architecture (EA) plays a crucial role in driving innovation within enterprises, agility, and strategic growth.

This talk explores how EA enables organizations to align technology with business objectives, optimize operational efficiency, and foster adaptability in dynamic markets.

We will discuss best practices for EA implementation, and how EA solutions unify AI, business, IT, data, and risk, and the audience will gain insights into how EA serves as a strategic enabler, helping organizations achieve long-term agility, resilience, and market leadership.

Our event partner, MEGA International is a global SaaS company, offering solutions for enterprise architecture, business process analysis, governance, risk, compliance, and data governance, operating in 52 countries. The company’s HOPEX platform provides a collaborative repository for collecting, visualizing, and analyzing information to enhance planning and adaptability