Artificial intelligence with real impact
Learn how Ocelot’s proprietary natural language processing and machine learning AI workflow, comprised of a unique combination of people, process and technology, creates a personalized, 24/7 student support experience.
“When I see a product that is designed specifically
for end-users to easily stand up, the value of a
partnership with that organization becomes obvious.”
Rob Stirton CIO, County College of Morris
Higher Education's Finest
Why Ocelot’s AI approach is superior
Quality in. Quality out.
The power of big data
A key driver of AI quality is the breadth of inputs from which the AI feeds on to create responses to student interactions. Ocelot takes a big data approach so students get the best answers.
This centralized architecture means the AI is learning from data across Ocelot’s entire network. Clients benefit from the collective strength of the network that includes millions of student interactions and hundreds of thousands of questions instead of only having a single-school environment to fuel the engagement experience with our platform.
Ocelot also curates comprehensive content libraries to supplement other key inputs (web crawling, internal FAQs, data from integrated platforms) ensuring students get the best answers that a individual school cannot provide on its own.
Best-in-class Expertise
Human supervised learning
Ocelot’s AI Conversation Design team takes a unique approach to make the platform smarter. This team consists of data scientists, content creators, and conversation design experts. Additionally, Ocelot has a Compliance and Content Review committee that, with a combined 70 years of higher education experience, ensures that general content stays up-to-date with the latest regulations and trends. In simple terms – Ocelot does the heavy lifting when it comes to managing the technology and building the AI algorithms, so clients can focus on facilitating more impactful interactions with their students.
Intent Classification
Constant refining of precision/recall and multiple analytic models
The chatbot’s ability to understand a user’s intent is based on how well the AI algorithms are trained. The team measures precision/recall, transfers learnings from millions of interactions and manages multiple analytical models. The team also often collaborates with clients to build examples and make sure we are capturing the different ways users are communicating with the chatbots.
Improving our AI responsibly
Always getting smarter
We use natural language processing (the process of organizing language into structured data), natural language understanding (teaching machines reading comprehension), and deep learning and neural networks (understanding relationships in data) to inform our AI.
This approach, combined with continuous optimization of our knowledge base, regular analysis of intent, entity and dialog data, plus client input ensures a best-in-class experience with our AI.
Customer Success Stories
Dive into success stories
Hear how your peers are realizing the benefits of the Ocelot AI communications platform, ensuring every student gets the answers they need so no one is left behind.
Over 12 million questions answered in the last 12 months alone.
Explore why 500 schools trust Ocelot to increase enrollment, retention, and student success.