RideShark has developed a new Transit Trip Planning module that can be integrated within the current platform or used as a standalone web plugin for use by transit agencies and other organizations. We are happy to provide a personalized demonstration to our customers to show how it can elevate your transit trip planning.

RideShark has introduced in-app dynamic trip logging available directly on each customers branded iOS and Android Apps. A user simply schedules or manually starts a trip, and the GPS will automatically start tracking. At the completion of the trip the user confirms their mode and the trip gets automatically logged on the commute calendar.

Streamlined, faster, and all inclusive, the updated Emergency/Guaranteed Ride Home functionality now lets users upload receipts. In keeping with new best practices where Uber and Lyft are used more than taxi’s or car rentals, users can directly upload ride hailing trip receipts for ERH reimbursement.

October 27, 2020

You’ve probably heard about how Artificial Intelligence (AI) is transforming everything from how new medical drugs are discovered to how cars will become self-driving in the coming years. While there is a fair bit of hype in the marketplace and mainstream media about the use of AI, it is certainly the case that new AI-based methods such as Machine Learning (ML) are increasingly being used to develop and improve products and services.

So what are AI and ML? AI is a broad scientific field that is fundamentally about “making computers behave in ways that, until recently, we thought required human intelligence” according to Andrew Moore, Former-Dean of the School of Computer Science at Carnegie Mellon University. AI is difficult to define as its meaning and use has changed over the 60+ years since the term was coined in 1956 by a group of academic researchers.

AI has spawned a number of different branches with related tools that can be used to achieve particular outcomes – ML is the most well-known of these sub-fields of AI. For Computer Science pioneer Tom M. Mitchell, “Machine learning is the study of computer algorithms that allow computer programs to automatically improve through experience.” A great example of ML in action is when Netflix or Spotify suggest that next great movie or song curated to exactly your taste using advanced predictive algorithms. But as anyone who uses these services knows, the suggestions are often reasonably good over time but not necessarily attuned to human mood or emotional changes. These are some of the current limitations of ML which AI scientists are aiming to overcome.

At RideShark our team of tech experts are always looking to improve our platform and services through use of cutting-edge technology. Our platform uses ML techniques in everything from predicting the best carpool matches based on user preferences and travel parameters to providing customized incentives to reward people for making more active and sustainable mobility choices. We also use it to verify the photos that users include of themselves and their vehicles on our platform to support safety and trust between users. We believe ML tools should work in the background to make mobility easier, cheaper, safer and more sustainable but it should never come with a compromise to safety, security and privacy of individual users and their data. As the transportation evolves with the adoption of new technologies, RideShark will be right there using these innovative tools to achieve the best results for our customers.

RideShark is establishing a Customer Success initiative

If you would like your organization to be profiled in an upcoming Customer Success Story or if you would like support in gathering and communicating your mobility achievements using the RideShark platform, please reach out to us.

RideShark Unified Mobility Ecosystem Webinar Series

RideShark is excited to be launching monthly Unified Mobility Ecosystem webinars where we’ll have experts speaking on a variety of relevant topics for mobility and commuter management. RideShark’s Unified Mobility Ecosystem Webinars are designed to build capacity in the TDM and new mobility space. RideShark Unified Mobility Ecosystem Webinars are open to all.