#Singapore #AMD #Univers #Global Impact AI

Univers Launches the Global Impact AI Lab

In a groundbreaking move towards advancing the integration of artificial intelligence (AI) and the Internet of Things (IoT) in corporate settings, Univers has partnered with AMD, Microsoft, and the National University of Singapore (NUS) to establish the world's first Global Impact AI Lab (IAL). Announced on October 28, 2025, during the One-Univers event, this initiative aims to harness the collective power of innovative technology and academic expertise to foster unprecedented developments in enterprise AI and IoT.

Purpose and Vision of the Global Impact AI Lab

The Global Impact AI Lab is designed to serve as a catalyst for innovation. It focuses on three key efficiency factors that promise to deliver systemic value:
1. Energy Efficiency: By leveraging AI to optimize energy generation, storage, and consumption, each kilowatt-hour becomes significant.
2. Operational Efficiency: The Lab aims to smarten up each process by connecting systems and equipment for enhanced reliability and productivity.
3. System Efficiency: By orchestrating connections through AI, it seeks to integrate ecosystems in energy, infrastructure, and manufacturing.

These focus areas represent not just technological advancements, but a broader mission to create sustainable, intelligent solutions that can be applied to various industries, including energy and manufacturing.

Collaborative Framework and Expert Contributions

The collaborative nature of IAL brings together significant contributions from its partners:

• - Univers: Renowned for its leadership in AI solutions for the energy sector, Univers plays a pivotal role in steering the Lab’s vision towards actionable innovations.
• - AMD: By providing real-time, secure AI capabilities at the network edge, AMD enhances enterprise-critical operations. Yousef Khalilollahi, Corporate Vice President and General Manager of the Embedded Business Group, emphasized the partnership's goal to showcase the benefits of heterogeneous data processing in delivering AI at the edge, allowing businesses to operate intelligently and securely on a large scale.
• - Microsoft: As a key player, Microsoft focuses on enhancing infrastructure and workflows through integrated AI and cloud platforms. Saj Kumar, Regional Business Leader for Manufacturing, underscores the joint effort to accelerate digital transformation, turning intelligent AI-driven solutions from concept into practical applications.
• - NUS: The involvement of NUS centers on developing future-ready AI talents and bridging research with real-world applications. Professor Bernard Tan, Senior Vice-Provost (Undergraduate Education), highlighted the Lab’s commitment to prepare students for success in the AI era through hands-on experiences and mentorship opportunities, thus contributing to cultivating the next generation of AI talent.

An Ecosystem Approach to Innovation

In rapidly evolving markets, businesses must leverage partnership-driven innovation engines to differentiate themselves. The Global Impact AI Lab is positioned to transform concepts into scalable, operational solutions swiftly. It offers a unique ecosystem approach where companies can benefit from rapid decision-making, operational agility, and sustainable competitive advantages.

Recently, Univers garnered recognition in the Magic Quadrant for Global Industrial IoT Platforms by Gartner, Inc., reflecting its strong execution capabilities and clear strategic vision in the realm of AI and IoT integration. This acknowledgment also highlights the importance of strategic partnerships in bringing domain expertise and advanced technologies together, essential for driving impactful innovations.

Conclusion

As corporations increasingly realize that mere adoption of digital technologies is no longer sufficient, the Global Impact AI Lab facilitates the development of solutions tailored to real business challenges. By harnessing the power of AI and IoT within a collaborative framework, this initiative marks a significant step in the future of enterprise innovation, promising to transform not only businesses but entire industries.