SAP BDC & AI: Building AI-Ready Supply Chains in Egypt | YASH
SAP Business Data Cloud: AI Insights for Egypt's Enterprises
EXCLUSIVE EXECUTIVE SESSION - EGYPT Turning Data into Decisions: SAP Business Data Cloud, Business AI & The AI Ready Enterprise
- June 15, 2026 | 10:00 AM EEST
- JW Marriott Hotel Cairo Route me
Empower your enterprise with connected data, intelligent AI, and adaptive supply chains, all anchored on SAP’s trusted foundation. The Opportunity for Egypt’s Enterprises
Across the Middle East and North Africa, enterprises are accelerating their investments in data and AI to drive digital transformation. Yet many organizations still contend with fragmented data landscapes, disconnected analytics, and limited readiness to deploy AI at enterprise scale. For Egypt’s fast-growing economy, this gap represents both a challenge and a massive opportunity.
This invitation-only executive session brings together SAP experts and YASH leaders to demonstrate how SAP Business Data Cloud (BDC) and Business AI can help organizations create a connected, intelligent, and insight-driven enterprise — with a special deep-dive into building AI-ready supply chains.
Through Expert Walkthroughs and Use-Case-Driven Discussions, We Will Explore How Your Organization Can
- Unify SAP and non-SAP data into a trusted, governed foundation with SAP Business Data Cloud
- Accelerate analytics and data transformation using BDC-powered use cases across Supply Chain Intelligence, People Intelligence, and Spend Intelligence
- Apply Business AI in real enterprise scenarios across finance, supply chain, and operations
- Build AI-ready supply chains with master data readiness, preventive data correction, and demand sensing powered by trusted data
- Leverage Databricks + SAP for unified analytics, data engineering, and ML-driven insights
- Create a clear path from data to intelligence using standardized models and AI-ready insights
What You Will Gain
SAP BDC as Enterprise Data Foundation
How SAP Business Data Cloud serves as the backbone for enterprise-wide data unification, harmonizing SAP and third-party data into a single governed fabric.
BDC Use Cases That Drive Real Results
Proven use cases across Supply Chain Intelligence, People Intelligence, and Spend Intelligence that accelerate analytics modernization and decision-making
Business AI in Action
Practical ways to embed AI into SAP business processes — from demand forecasting and risk assessment to workforce analytics and cash flow optimization.
AI-Ready Supply Chain Transformation
Why master data readiness is the launchpad for AI-enabled supply chains, and how to shift from reactive data cleanup to preventive intelligence across SAP IBP, SCM, e-PPDS, EWM, SD, and MFG.
Databricks + SAP Unified Analytics
How SAP Databricks enables data engineering, ML model development, and generative AI applications trained on your business data.
BDC as the Intelligence Layer Across Your Entire Supply Chain
Most supply chain transformations fail not because of technology, but because planning, logistics, manufacturing, and execution operate as disconnected islands. SAP Business Data Cloud changes that equation fundamentally. By acting as the intelligence layer beneath your entire supply chain stack, absorbing signals from SAP IBP, PP/DS, TM, EWM, and Digital Manufacturing, and enriching them with external data such as carrier performance, lane risk, and port congestion, BDC enables planning to learn from logistics, and logistics to learn from planning.
This means, predictive planning that anticipates disruptions before they occur, warehouses that become dynamic planning nodes rather than isolated execution centres, and transportation decisions powered by real-time carrier scoring and ETA modeling. SAP Databricks inside BDC extends this further, enabling machine learning on trusted business data and publishing insights back into the SAP environment. This is not just better reporting. It is a business transformation strategy that turns volatile, logistics-intensive supply chains into a predictive, self-correcting network. Data is the new oil, and BDC is the refinery.
Agenda Highlights
| Time | Session | Speaker | Duration |
| 10:00 – 10:15 AM | Registration | 15 mins | |
| 10:15 – 10:30 AM | Welcome & Introduction | Ehab Fawzy – YASH Country Head | 15 mins |
| 10:30 – 11:30 AM | SAP Business Data Cloud: Connecting Supply Chain Intelligence, People Intelligence & Spend Intelligence | Amit Kapoor-Amit Kapoor – Data Analytics Head, ME | 60 mins |
| 11:30 – 11:40 AM | Break | 10 mins | |
| 11:40 – 12:10 PM | SAP BDC: Introduction and Foundational Overview | Osama Maryam -Senior Solution Advisor – Data & AI | 30 mins |
| 12:10 – 01:10 PM | Fix First, Predict Next – Master Data Readiness: The Launchpad for AI-Enabled SAP Supply Chain Transformation | Firdosh Kotwal – Head, Digital Supply Chain | 60 mins |
| 1:10 PM Onwards | Networking & Lunch | All Attendees |
Session Spotlights
SAP Business Data Cloud: Connecting Supply Chain, People & Spend Intelligence
Amit Kapoor – Data and BI Practice Head, YASH Technologies
Discover how SAP Business Data Cloud bridges the gap between data platforms and business decisions. This session will showcase how BDC’s intelligent applications deliver real-time, contextualized insights across three critical domains:
Supply Chain Intelligence
Forecasting disruptions, optimizing sourcing, and modeling tariff impacts with AI/ML
People Intelligence
Predicting attrition, aligning workforce planning with business strategy, and tracking talent flows
Spend Intelligence
Gaining visibility into enterprise-wide spending, identifying supplier risks, and optimizing procurement
Fix First, Predict Next – Master Data Readiness: The Launchpad for AI-Enabled SAP Supply Chain Transformation
Firdosh Kotwal- Digital Supply Chain Head, YASH Technologies
Most AI-enabled SAP Supply Chain programs fail not because of technology, but because of unreliable master data. Before demand sensing, predictive planning, or automation can deliver value, organizations must fix foundational data gaps. This session reveals:
Why SAP IBP, SCM, e-PPDS, EWM, SD, and MFG programs fail due to hidden master data gaps
programs fail due to hidden master data gaps
How preventive master data correction reduces cost and implementation risk
correction reduces cost and implementation risk
Why AI and demand sensing collapse without trusted data
and demand sensing collapse without trusted data
How to shift from reactive data cleanup to preventive intelligence
data cleanup to preventive intelligence
Meet Our Experts

Firdosh Kotwal
Head – Digital Supply Chain

Amit Kapoor
Data and BI Practice Head

Ehab Fawzy
Business Development Manager

Akshay Tayade
Senior Supply chain lead

Osama Maryam
Senior Solution Advisor - Data & AI.