Geotab transforms connected transportation with innovative generative AI, shortening time-to-insight and customer value
Published on June 27, 2023
Project G Generative AI, available via Geotab Data Connector, will provide powerful insights related to vehicle performance, efficiency and more
LONDON, UNITED KINGDOM (27 June, 2023) - Geotab, a global leader in connected transportation solutions, is taking the data experience to new heights with its industry-leading generative AI capabilities. Today, the company announced a beta project that introduces generative AI models into its platform, setting a new standard in the connected transportation industry. With the beta launch of Project G, Geotab is empowering participating customers to effortlessly access on-demand insights on vehicle performance, efficiency, and sustainability, setting a new standard in connected transportation.
By harnessing the power of natural language models, Project G reduces time-to-insight for customers and transforms the process of analysing fleet data into a simple and intuitive experience. Customers now have an analytics digital assistant to pose questions through a chat interface linked to Geotab Data Connector, to receive immediate data-driven insights. From vehicle performance and idling times to fuel economy comparisons, vehicle usage, cost savings, and beyond, Project G delivers comprehensive, digestible information with ease. Project G is built on privacy-by-design principles and keeps all customer telematics data within Geotab’s environment, never shared with any Large Language Model (LLM).
“With Project G, we're taking a giant leap forward in demonstrating the impact of generative AI in the connected transportation landscape. We've long been recognised as leaders in data intelligence and AI, leveraging artificial intelligence and machine learning models for years,” said Mike Branch, Vice President of Data & Analytics at Geotab. “This breadth of experience presents us with a unique opportunity to analyse vast amounts of fleet data, identify patterns, and generate invaluable recommendations to optimise operational efficiency and performance.”
Over the past year, Generative AI has become a significant area of focus and organisations worldwide are exploring its potential to drive customer and performance business efficiencies. Geotab has a strong history of AI innovation and is leveraging this expertise with customers in the beta project. With over 55 billion data points processed daily across more than 3.6 million connected vehicles, Geotab stands at the forefront of this transformative technology. With one of the industry's largest data science teams, dedicated to data and artificial intelligence, and with a global presence spanning 165 countries, Geotab possesses the expertise and scale necessary to train powerful AI models, unlocking unprecedented value and efficiency for its customers.
“The beta project is an exciting collaboration with select customers. We are able to align real-world requirements and challenges with data science expertise to learn, adapt and evolve capabilities. The possibilities are limitless, and we're committed to delivering cutting-edge solutions that make data easily accessible for our customers,” added Branch. For more information, visit https://www.geotab.com/uk/project-g.
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About Geotab
Geotab, the global leader in connected vehicle and asset solutions, leverages advanced data analytics and AI to enhance fleet performance, safety and sustainability while optimising costs. Backed by a team of industry-leading data scientists, engineers and AI experts, we serve over 50,000 customers across 160 countries, processing billions of data points hourly from more than 4 million vehicles. Data security and privacy are at the forefront of all we do — trusted by Fortune 500 organisations and some of the largest public sector fleets in the world, we meet top cybersecurity standards. Geotab’s open platform and diverse Geotab Marketplace offers hundreds of fleet-ready third-party solutions. Learn more at www.geotab.com/uk, and follow us on LinkedIn or visit our blog.
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