The Robotics & Automation Theatre will feature both case-study presentations from exhibitors focussing on the benefits delivered by their products along with seminars from industry thought-leaders and experts on the latest trends and developments in the robotics and automation market.
Accredited for CPD by: This conference offers a total of 5.5 CPD hours
Understanding the Trust Deficit: Gain a clear understanding of why trust is crucial for the successful adoption of AI in automation and the factors that contribute to a lack of trust, including concerns about safety, bias, and job displacement.
Building Blocks of Trust: Outlining the core components of building trust in AI-powered automation, such as transparency (understanding how AI systems work), explainability (being able to interpret AI decisions), accountability (establishing clear lines of responsibility), and rigorous risk assessment throughout the AI lifecycle, ensuring a holistic approach to trust.
Building a Foundation for Trust: Gain the knowledge to navigate the complexities of responsible AI deployment. Explore key considerations for businesses, including ethical implications, data governance, and the importance of ongoing monitoring and evaluation of AI systems.
Robotics as a service is transforming automation by offering on-demand access to robotic systems, making it more flexible and scalable for businesses of all sizes.
Why are companies choosing to rent technology instead of buying it outright?
What role will RaaS play in businesses in the next five years?
Trusted End-to-End Logistics Solutions – Mecalux as the provider of cutting-edge automation and software for industry leaders like Unilever, PepsiCo, and IKEA, ensuring effective and sustainable supply chain management.
Advanced AI-Driven Technology – Our solutions, including WMS, WCS, DOM, AS/RSs, and smart robots, create an AI-enhanced supply chain ecosystem for seamless operations.
Innovation Through Collaboration – Partnering with MIT, we develop AI-based solutions to address key logistics challenges and drive industry advancements.
Enhancing Efficiency and Productivity: How AI-driven automation and predictive maintenance reduces downtime and optimize production processes. We will discuss real-world examples of AI applications in manufacturing.
Improving Quality Control and Precision: How AI technologies like computer vision and machine learning are used for real-time quality control and defect detection.
Driving Innovation and Flexibility: How AI enables flexible and adaptive manufacturing processes, allowing for rapid prototyping and customization. The role of AI in supply chain management and how it enhances decision-making and responsiveness to market changes.
The warehousing sector is rapidly expanding due to increasing consumer demands, a rise in e-commerce, and the need for immediate access to goods.
Warehouses are adopting robotics and automation technologies to improve efficiency, safety, stock management, and address labour shortages.
These technologies reduce human intervention, optimise space usage, and enable continuous operations, enhancing productivity and adaptability in warehouse management.
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