Guided Intelligence: Transforming Electronics Supply Chain Decisions with AI
Wednesday, August 12, 2026 – 12:00pm ET
Supply chains operate under constant pressure from volatility, fragmented data, and accelerating decision timelines. Teams have access to more data than ever, yet many still lack the clarity needed to act with speed and confidence.Â
This webinar explores how guided intelligence represents the next evolution in supply chain decision-making. AI advances supply chain capabilities from descriptive and predictive analytics to prescriptive and autonomous decision support, synthesizing complex datasets into real-time, contextual recommendations that enable proactive orchestration.Â
Attendees will gain a clear framework for adopting AI responsibly, including building a strong data foundation, embedding human expertise into decision workflows, and ensuring transparency, explainability, and auditability across every recommendation.Â
The session also highlights how trusted intelligence—combining curated data, advanced AI models, and domain expertise—drives meaningful business outcomes. Organizations gain the ability to make smarter sourcing decisions, anticipate supply chain risks earlier, improve operational efficiency, and align cross-functional teams around confident, data-backed actions.Â
What You’ll Learn
- The AI Evolution: How to shift from basic analytics to prescriptive, autonomous decision-making.
- A Framework for Responsible AI: Steps to build a strong data foundation, keep humans in the loop, and ensure transparent, auditable recommendations.
- The Power of Trusted Intelligence: How combining curated data, AI, and domain expertise leads to smarter sourcing and faster risk detection.
- Cross-Functional Alignment: How to unite teams around confident, data-backed decisions that drive efficiency.
Meet the Speakers
Mudit Bajaj, Head of Product Management
Mudit Bajaj is a seasoned product and supply chain leader with deep expertise across e‑commerce, retail, and high technology. As Head of Product Management at SiliconExpert, he leads the strategy for AI-driven SaaS platforms, transforming complex data into actionable intelligence and enabling faster, more informed enterprise decision-making.
With leadership experience at Amazon, Wayfair, Gopuff, and Jabil, Mudit has driven large-scale innovation at the intersection of AI, advanced analytics, and supply chain technology. He has built and scaled global teams, developed intelligent systems managing billions in operations, and delivered measurable impact across cost optimization and growth.
An advocate for digital transformation, Mudit is passionate about applying AI, predictive analytics, and optimization modeling to modernize supply chains and unlock business value. He holds an MBA from Carnegie Mellon University and a B.Tech (Honors) from IIT Kharagpur.
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Kareem Salah Al Tobgy, Head of Engineering
Kareem Al Tobgy is a technology and operations leader with over 17 years of experience driving IT services, global delivery, and digital transformation. As Country Manager at SiliconExpert Technologies, he leads regional strategy and operations, helping organizations leverage high-quality, trusted data and secure platforms to improve decision-making across engineering and supply chain functions.
With deep expertise in data quality, governance, and secure managed services, Kareem specializes in enabling resilient, efficient supply chains powered by reliable intelligence. He has extensive experience deploying enterprise solutions that combine data integrity, cybersecurity, and advanced analytics to support complex, global operations.
Kareem has led multicultural teams across telecommunications, financial services, and technology sectors, delivering scalable solutions that enhance operational performance and business continuity. Prior to SiliconExpert, he held senior leadership roles at International Turnkey Systems (ITS), overseeing global service delivery and IT operations.
He holds an MBA in Global Management from ESLSCA and a Bachelor’s degree in Electronics and Communications Engineering from Alexandria University.
