Unleashing the Power of Applied Artificial Intelligence to Fuel Technology Innovation

Unleashing the Power of Applied Artificial Intelligence to Fuel Technology Innovation

At ACWA Power Innovation Days 2025, global leaders in technology, energy, and entrepreneurship gathered to examine how applied artificial intelligence is accelerating innovation and reshaping industries worldwide.

The panel discussion, titled "Unleashing the Power of Applied Artificial Intelligence to Fuel Technology Innovation," brought together a distinguished group of industry leaders, each contributing critical insights into the strategic and technical dimensions of AI:

  • H.E. Dr. Margarete Schramböck – Board Member, Aramco Digital
  • Dr. Bart Boesmans – Chief Technology Officer, ACWA Power
  • Dr. Ahmad Aljaadan – General Manager, Private Sector and Entrepreneurship Support, RDIA
  • Charles Nahas – Regional General Manager, Microsoft Middle East
  • Ashutosh Kumar – Vice President, Middle East & Central Asia, Cognite
  • Kevin Annund – Data & AI Leader, IBM MEA

The session was moderated by Amar Shubar, Partner at Management Partners.

Key Insights and Strategic Themes Covered During the Panel Discussion

1. Breakthrough Technologies and Scalable Infrastructure

AI innovation is being propelled by significant advancements in processing power, AI-specific chips, and hyperscale infrastructure. The emergence of autonomous AI Agents capable of performing complex, real-time tasks is redefining how businesses operate.

However, the benefits of these technologies come with new challenges—most notably, energy consumption. As AI scales, businesses must prioritize sustainable data infrastructure powered by clean energy to mitigate environmental impacts while continuing to innovate.

 

2. Embedding AI into the Heart of Business Strategy

AI is no longer a support function; it is becoming a central force in business strategy and value creation. Organizations that integrate AI into core processes can unlock new revenue streams, enhance decision-making, and create entirely new operating models.

Success, however, requires a shift from opportunistic implementation to structured, strategy-driven AI adoption. This involves aligning AI investments with long-term goals, ensuring cross-functional integration, and embedding governance frameworks to guide ethical and scalable deployment.

3. Data as a Strategic Enabler of AI

High-quality, accessible, and governed data is the foundation of successful AI systems. Without it, even the most advanced models will yield unreliable or narrow insights.

Modern approaches, including generative AI and large language models, are enabling organizations to enhance existing datasets, clean messy information, and extract insights from unstructured sources such as documents and reports. This capability is reducing the dependency on large, high-fidelity training datasets and increasing the value of internal knowledge assets.

 

4. Rethinking Enterprise Architecture for AI-Readiness

To scale AI effectively, organizations need AI-native enterprise architectures designed to accommodate real-time processing, cross-functional integration, and autonomous decision-making.

One of the most transformative enablers is the emergence of AI Innovation Labs, which leverage low-code/no-code platforms to empower non-technical professionals to co-create AI solutions alongside data scientists and engineers. These labs foster experimentation, shorten development cycles, and help bridge the gap between domain knowledge and technical implementation. By integrating AI directly into everyday business workflows, companies can drive innovation at speed and scale.

5. AI as a Driver of Competitive Advantage—Business and National Dimensions

AI is fundamentally altering competitive dynamics. Businesses that treat data as a core strategic asset and participate in controlled, collaborative data-sharing across value chains can unlock transformative efficiencies and innovations across entire sectors.

At the national level, the development of sovereign AI capabilities—including domestic talent, open-source ecosystems, and AI infrastructure—is emerging as a critical priority. Countries that invest in these areas will not only protect their technological independence but also secure long-term economic resilience in an increasingly AI-driven world.

The ideas shared during this high-level exchange offer a blueprint for navigating the age of applied AI—from reshaping internal capabilities to forging sector-wide collaborations and building sovereign digital economies.

To explore the full depth of insights, expert perspectives, and actionable recommendations, we invite you to read the full article here, which provides a comprehensive coverage of the topics summarized here.