Unacast Introduces Machine Learning Powered Foot Traffic Data Sets

Date:

Today, Unacast released their new Foot Traffic datasets powered by machine learning, providing even more insights for commercial real estate companies, retailers, and investors. This new data differentiates itself from the traditional GPS data aggregation model by using a machine learning model to attain better understanding into the location visitation patterns and stats. When tested with ground truth data, Unacast’s machine learning models showed an R- Squared of 91.6% or higher, which is widely accepted as being best-in-class.

Chief Product Officer of Unacast Jonothon Schuster expressed that their model will be a great help in unlocking the power of location intelligence while reducing the risks that come with GPS data. This means that real estate investors, portfolio managers, and businesses can now use this data with much more confidence in its accuracy.

The Foot Traffic Dataset is available across the entire United States, with history being recorded from October 2018. Data is updated on a weekly basis and can be provided through an API, AWS S3, or Google Cloud BigQuery. Unacast is able to offer seven types of visitation datasets.

Unacast is a top-tier provider of human activity insights in the physical world for retailers, real estate investors, consultancies, software analytics firms, and multinational organizations. With the introduction of their Data-as-a-Service and Platform-as-a-Service meant to provide users with filtered information for better strategic decisions on a global scale, Unacast has proven to be an invaluable resource.

The company was co-founded by Thomas Walle and Chief Executive Officer, Kjartan Slette. Thomas Walle is Unacast’s Chief Technology Officer (CTO) responsible for driving product innovation and leading the engineering team. Kjartan Slette is the CEO of Unacast since its inception in 2014, and has been responsible for its tremendous growth since then. With their powers combined, the two co-founders of Unacast have given their clients a better and safer way of gaining the insights they need to make better business decisions.

See also  Federated Learning Revolutionizes AI Training: Meet the RoPPFL Framework

If you are in the market for a reliable source of physical world analytics you can trust, make sure to check out Unacast’s Foot Traffic datasets powered by machine learning. Get refined insights and data that is validated to be accurate and future-proof. Visit them today at unacast.com.

Frequently Asked Questions (FAQs) Related to the Above News

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

Share post:

Subscribe

Popular

More like this
Related

Global Data Center Market Projected to Reach $430 Billion by 2028

Global data center market to hit $430 billion by 2028, driven by surging demand for data solutions and tech innovations.

Legal Showdown: OpenAI and GitHub Escape Claims in AI Code Debate

OpenAI and GitHub avoid copyright claims in AI code debate, showcasing the importance of compliance in tech innovation.

Cloudflare Introduces Anti-Crawler Tool to Safeguard Websites from AI Bots

Protect your website from AI bots with Cloudflare's new anti-crawler tool. Safeguard your content and prevent revenue loss.

Paytm Founder Praises Indian Government’s Support for Startup Growth

Paytm founder praises Indian government for fostering startup growth under PM Modi's leadership. Learn how initiatives are driving innovation.