At GITEX 2024, held from October 14-18 at the Dubai World Trade Centre, Bosch Software and Digital Solutions (SDS) took the stage at the Microsoft booth to demonstrate the transformative power of AI in industrial settings. The showcase centered on building resilient, future-ready enterprises by leveraging a suite of digital and engineering solutions powered by AI and cloud technologies.

The focus was on reimagining business capabilities through AI-powered simulations, analytics, and connected products designed for seamless operations. Bosch SDS presented its strategic roadmap for transforming industries with intelligent, data-driven solutions that are both sustainable and scalable.

Key highlights

AI-enabled smart factories that use real-time insights to optimize production and efficiency
AI-based predictive maintenance to significantly reduce equipment downtime and lower energy costs
Digital supply chain solutions like the Supply Chain Control Tower for end-to-end visibility and orchestration
Energy optimization through the Bosch DEEPSIGHTS digital suite for energy conservation and sustainability
Enhanced customer experience solutions, including the innovative GenXR Guides for interactive product support.

Bosch SDS leadership at GITEX 2024

Chandrasekar Rajarathinam, Regional Business Head at Bosch SDS, delivered insights on how manufacturers can navigate both brownfield and greenfield environments in their digital transformation journey. He showcased Bosch's comprehensive approach to addressing the challenges of legacy protocols, aging assets, and disparate IT-OT landscapes that many manufacturers face today. The session highlighted Bosch's vision for fully autonomous factories with integrated networks and paperless operations, demonstrating how AI bridges the gap between current manufacturing realities and future possibilities.

AI in the real world

His talk highlighted real-world applications where AI is making a measurable impact including

AI-powered visual quality inspection using deep learning models to detect micro-level defects and eliminate manual inspection processes.
Scrap reduction initiatives that deploy predictive AI models leveraging PLC and sensor data to optimize wheel production recipes.
Real-time cycle time monitoring solutions that analyze machine event data to identify bottlenecks and improve production line utilization.
Generative AI for dynamic production KPIs, enabling self-service generation of key metrics like Operational Equipment Effectiveness through low-code platforms.

Post-event snippets

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FOLLOW US ON:
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