Saudi Business Machines - Sbm

It was truly an honor to meet His Excellency Abdullah Alswaha for an Eid greeting with IBM . A valuable and insightful discussion on key technology priorities, including data sovereignty, AI, and hybrid cloud and how these pillars are shaping the Kingdom’s digital future. One perspective that stood out was the idea that we fall into three roles: innovators, replicators, and regulators with a clear ambition for the Kingdom to lead as both an innovator and a regulator. What remains truly inspiring is the strong belief in people, capabilities, and technology all aligned to accelerate the Kingdom’s vision and turn ambition into reality. Proud to be part of this journey a true “dream team.” Thank you, Your Excellency.

A Case to Stop waiting for the next LLM upgrade to unlock your AI's potential. The real competitive advantage is no longer just the model—it’s the "Harness." Over the last four years, we’ve rapidly progressed through three distinct eras of AI development: Prompt Engineering ➡️ Context Engineering ➡️ Harness Engineering. What exactly is a Harness? If a raw LLM is the CPU of an AI agent—powerful but inert without RAM or a disk—the harness is its Operating System. It manages the memory, orchestration logic, tool integration, safety guardrails, and verification loops. Simply put: Agent = Model + Harness. Here are the key learnings every tech executive needs to know as we transition from artisanal AI construction to systematic harness engineering: 🔹 The 6x Performance Multiplier: Stanford researchers found that the orchestration code wrapping an LLM now drives more performance variation than the model itself. The exact same model on the exact same benchmark can see a 6x performance difference based purely on its harness infrastructure. 🔹 Smaller Models Can Win: Through automated harness optimization, smaller models can actually outperform larger, more expensive models. The right orchestration structure fundamentally shifts the ROI of your compute spend. 🔹 Portability is Key: A harness optimized on one model can be transferred to multiple others, elevating the performance of all of them. Your company's reusable IP isn't the underlying foundation model—it's the harness you build around it. 🔹 The Art of Subtraction: More structure isn't always better. As models get smarter, mature harness engineering looks less like building complex frameworks and more like pruning them down. Simplifying logic, narrowing attempt loops, and removing unnecessary tools often leads to radically more efficient and reliable results. The Bottom Line: Investing in your harness architecture yields larger, faster, and more reliable gains than simply waiting for the next flagship model release. If your team is building AI agents, you are in the business of harness engineering. It’s no longer just a question of which model to pick, but how you systematically structure the ecosystem around it. Are you building agents or just renting models? #AI #ArtificialIntelligence #AIAgents #TechStrategy #Leadership #HarnessEngineering #MachineLearning #Innovation #FutureOfWork

Great conversations and even stronger alignment with the team from AMD and Lenovo 🤝 It was a pleasure connecting with the AMD Channel Manager Shadi Hijazi and SMB & Consumer Segment Lead Said Khalifa to discuss how we can further strengthen our collaboration and drive more value into the market. Our partnership continues to evolve, especially as we focus on delivering high-performance, innovative solutions that meet the growing demands across SMB and enterprise segments. From accelerating AI-driven use cases to enabling smarter infrastructure and end-user computing, the synergy between AMD and Lenovo is opening new doors for growth and customer success. Looking forward to building on this momentum and turning strategy into tangible wins 🚀 #AMD #Lenovo #Partnership #Innovation #AI #SMB #Technology #Growth