Schneider Electric takes home the prize! @WAIC

The 2024 Super AI Leader Award (SAIL) was officially announced at the 2024WAIC (World Conference on Artificial Intelligence and High-level Conference on Artificial Intelligence Global Governance) Industrial Development Main Forum. With strong AI application innovation capabilities in energy management and industrial automation, Schneider Electric’s EcoStruxure™ AI engine, an enterprise-class AI platform, is ranked TOP4.

About SAIL Award

FBM224-P0926GG SAIL Award is selected once a year, following the concept of “pursuing excellence and leading the future”, and is committed to creating a high-level and international award in the field of artificial intelligence, setting a benchmark for leading the future development of artificial intelligence, and leading the development direction of artificial intelligence industry and research.

Four major functions

Cover the entire life cycle of AI models

With China’s increasing attention to the close integration of artificial intelligence and the real economy, the industrial application of artificial intelligence has become the only way to promote industrial cross-border integration and transformation and upgrading. As a global industrial technology leader, we have built EcoStruxure AI engine, an enterprise-level one-stop AI model production and operation platform, to bring a jump in productivity and efficiency with industry-wide large-scale application of AI.

EcoStruxure AI engine provides a wealth of AI models and solutions, integrating four AI function modules: data management, model development, model operation and maintenance, and AI application. It can cover five modeling processes: data preparation, model training, model deployment, model reasoning, and model monitoring in the life cycle of AI models. From energy management to industrial automation, it provides a large number of certified AI models, templates and scenarios to help users achieve “out of the box” for efficient business operations.

P0926GH FBM224/230

FBM224-P0926GG Data management: The EcoStruxure AI engine supports data connectivity, allowing users to visually explore and annotate data, and monitor data quality.
Model development: The EcoStruxure AI engine provides a rich AI framework that supports programmatic modeling based on the Python language, as well as canvas modeling based on “drag and drop”.
• Model operation and maintenance: EcoStruxure AI engine allows users to realize the whole process of data storage and annotation, model training, reasoning, deployment, monitoring, and iterative update in the cloud, and supports cloud models to be sent to the edge of the production line for edge reasoning.
•AI application: The AI Application Store provides applications such as predictive maintenance of equipment, optimization of equipment energy consumption, anomaly detection, predictive analysis of quality, virtual intelligent advisor, etc. Users can easily select various algorithms and models and apply them to their own data sets, reducing the time and cost of developing new models.

At present, the EcoStruxure AI engine is integrated with the industrial and energy software of the company, which is widely used in more than 10 factories in China, as well as automotive, food and beverage, buildings, data centers, semiconductors, machinery manufacturing and other industries, to help users achieve annual energy consumption reduction of 5%-10% and efficiency improvement of 3%-5%.

The organic combination of AI technology with energy management and industrial scenarios is becoming an important driving force for industrial upgrading and sustainable development. Schneider Electric has always been committed to the integration of AI technology and industry know-how, while maintaining an open mind and cooperating with upstream and downstream partners and developers to promote advanced AI technology innovation and implementation, enabling more enterprises to achieve energy saving and carbon reduction and intelligent operations, leading the entire industry to an efficient and sustainable future.”