The Arc
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Ann has spent her career designing and delivering autonomous business model initiatives that connect ADAS, connected vehicle systems, and AI-enabled platforms into circular, self-improving ecosystems. From sensors and embedded systems to cloud intelligence and GenAI, her work aligns autonomy with sustainability—turning data into action across the full mobility and logistics value chain.
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Grounded in Bosch’s #LikeABosch philosophy, Ann’s automotive career arc spans IoT sensors, traditional automotive parts, logistics, advanced engineering, cybersecurity, e-bikes, cold chain networks, and AI—connecting vehicles, data platforms, and intelligent services.
This end-to-end perspective enables circular economy strategies that link manufacturing, mobility, energy use, and digital services into a cohesive, scalable system.
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Ann has led the integration of AI and analytics into repair management systems, diagnostics tools, and shop-floor technologies—unlocking predictive insights that improve repair accuracy, reduce waste, and extend asset life.
The data generated flows seamlessly into internal systems, informing supply logistics, parts distribution, and inventory decisions that support circular operations and lower emissions.
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Partnering with global players across trucking, LTL, final mile, and passenger mobility, Ann connects shippers, carriers, and OEM ecosystems to deliver circular economy outcomes at scale encouraging connected data collaborations.
Her work bridges industry GenAI, telematics, and connected data services—enabling companies to take advantage of real-time transparency and intelligent routing empowering them to make smarter decisions when determining how goods are in transit, delivered and how consumers experience everyday life.
Systems as a Living Structure
Ann works at the intersection of autonomy, circular economies, and connected systems.
Designing strategies where technology behaves less like infrastructure and more like a living network.
She helps organizations move from fragmented tools to systems that learn, adapt, and compound value over time.
A Testimony on Autonomous Self Driving Cars
Explore what others’ are predicting for 2035, from AI Boom & Data Center Impacts, Energy Storage Capacity, compliance constraints, V-Commerce, connected technology driver levels, features and benefits.
BEV-Enabled Freight Operations
Cold Chain Freight AI/ ML Enablement
Hyperscalers are partnering with traditional Fortune 500 players focused on reactive monitoring to predictive, AI/ ML data-driven decisioning—they are working to strengthen cold chains, manufacturing, and pharma supply networks while reducing waste and risk.
“These initiatives demonstrate how applied AI/ML can simultaneously lower operational cost, improve reliability, and deliver meaningful human impact by preventing food loss and ensuring life-saving supplies reach their destination.”
-Director, Connected Platform Solutions, AI/ML Cold Chain Technologies
Explore how Schneider National reengineers transportation and supply chain networks through Freight Power’s marketplace connected shippers and carriers powering movement of goods and people that keep our everyday life moving.
They have implemented RPA Gen AI into their central distributed ecosystems improving automation, reducing costs while transforming cold chain, drayage, shipping, and logistics operations to enable scalable, sustainable success.
A place where ‘nobody is too big to help you.’
Autonomy in Logistics and Supply Chain Transportation
Reaching true end-to-end optimization when powered by GenAI platform stacks and integrated software that secure demand data, enable intelligent forecasting, and proactively mitigate disruptions across the full lifecycle of goods movement.
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Support and connected technologies across warehouses, shipping yards, distributors, and transportation partners ensure visibility, coordination, and continuity from origin to destination.
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Transportation management, warehouse management, and fleet management systems work together to predict risk, optimize routing, and support operational excellence at scale.
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GenAI strengthens forecasting accuracy and anticipates disruptions before they impact service levels or margins.
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Drives measurable gains by guiding strategic choices, aligning AI deployment with business objectives, and implementing scalable solutions that improve efficiency, resilience, and enterprise performance.
Competing on Cost and Capital: Sustainability vs. Global Transformation Success
Enterprise Facilitation
Ann’s deep experience across automotive engineering domains, aftermarket parts technologies, vehicle lifecycle management, and dealer product-build operations uniquely positions her to translate complex technical systems into actionable full end to end value chain strategy. :
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She understands how powertrain, hybrid systems, and electronic architectures are developed, tested, and delivered—allowing her to align technical constraints with commercial objectives, operational needs, and customer-facing outcomes.
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Her experience working with vehicle diagnostics, telematics, and aftermarket technologies gives her the ability to interpret sensor and telemetry data, informing decision-making, optimizing performance frameworks, and enabling real-time strategic adjustments.
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With knowledge of ABS, stability systems, collision-avoidance technology, and component-level engineering, Ann can advise on how safety innovations integrate with performance goals, compliance requirements, and consumer trust.
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Her expertise across OEM and dealer environments allows her to map integrated electronic ecosystems—from ECUs to UX interfaces—to the full product lifecycle, ensuring that what is engineered upstream delivers downstream value in sales, service, and customer experience.
Institutional Validation Across Sectors; Academic & Commercial