Powering AI-assisted decision making from large infrastructure networks to factory floors
Optimizing grid lifecycle management with visual data and artificial intelligence
A significant portion of the 330,000 km of overhead lines operated by ENEDIS has been in place for three to four decades. Must they be entirely replaced, with the acute ecological impact that would entail?
Enedis is looking for the most responsible ways to extend the lifespan of its infrastructure by replacing only the components that warrant replacement.
In 2020, Enedis has decided to deploy artificial intelligence across its organization by leveraging the Æther AI platform. This partnership allows Enedis to accelerate its digital transformation with the systemic use of visual data and AI to verify operations of its medium voltage overhead network.
Digitizing mining operations to increase operational performance
In addition, they recognized that digital twins, which enable monitoring and performance management, would help improve safety and productivity on their sites.
But the first step towards creating digital twins is creating and maintaining digital records of the sites, leveraging different types of data sources - this can be a challenge.
Utilizing Alteia's platform, Eramet has placed visual intelligence at the core of its growth, operational performance, and competitive edge. And central to their goal, they can now access digital twins of all field sites in just one click.
Effective landfill management through visual data and artificial intelligence
Waste management companies must work with a finite resource — space — and that space is shrinking much faster than previously expected.
Vision AI is allowing landfills to make new kind of adjustments based on more frequently updated densities, increasing the life expectancy of the landfill and mitigating the associated risks.
AI Solutions for climate-smart cashew programs
Cashew production is also an opportunity for climate mitigation through tree planting. However, there are still challenges to be addressed in order to improve productivity and environmental benefits. In particular, land pressure can lead to environmentally detrimental farming practices, such as monocropping and land clearing for farm expansion. Arming farmers with climate-smart agricultural skills is essential for ensuring that production can be sustainably increased. For that reason, it is important to generate objective and quickly accessible data that helps provide targeted training to farmers.
By assessing land management through drone imagery and artificial intelligence, TechnoServe can identify the areas of highest need and target interventions and training services to reach farmers more effectively. Ultimately, the project aims to increase the number of farmers engaged in the climate-smart production of cashew in Benin.
High-value business workflows