GeoTechnologies Enhance Map Information Development with H2O.ai GeoTechnologies Selects H2O.ai to Transform its Geographic Information Development and Image Analysis Capabilities Through AIGeoTechnologies, a provider of map data and location information applications, is effectively creating an entire in-house data science team by partnering with H2O.aiH2O.ai, the AI
cloud leader, announced a strategic partnership with Japanese-based
GeoTechnologies, a provider of map data and location information solutions for
car navigation systems. The companies used the H2O AI Cloud to jointly develop
an AI-powered platform that assesses sidewalk safety from on-board camera
footage. By checking the safety of sidewalks and identifying dangerous spots in
advance, this technology adds safety information to the map data provided by
automobiles and car navigation vendors to reduce traffic accidents. “GeoTechnologies has adopted the H2O AI Cloud to use terabytes of driving images to train machine learning models to improve context awareness across multiple situations. We were able to complete the work that normally takes two to three weeks, from building the environment to training and testing, in only one day. In addition, H2O's 'grid search function' can search for the most accurate model from multiple AI models. When we verified images with conventional technology, we were 68 percent accurate. With H2O, we have increased accuracy nearly 30 percent to 97 percent,” said Tsukasa Enomoto, Chief Digital Officer at GeoTechnologies. H2O.ai systematically addresses multiple steps of the data science lifecycle with automation designed to reduce complexity across tasks and empower data scientists to implement AI projects with higher accuracy more efficiently. As the major map company in Japan, GeoTechnologies is, in effect, creating an entire in-house data science team by partnering with H2O.ai and making its technology pervasive throughout the organization. “With the H2O AI Cloud, GeoTechnologies will be able to process text data, as well as unstructured data such as images and videos, using products like Hydrogen Torch, which are specialized for deep learning. Our platform will empower the GeoTechnologies team to analyze large volumes of data at high speed to build highly accurate AI models and benefit from context understanding,” said Sri Ambati, CEO and founder of H2O.ai. “By co-creating with GeoTechnologies, we are confident that we will bring operational efficiencies throughout the company to contribute to efficient map information development.” Source: H2O.ai media announcement | |
