Those familiar with stock markets surely know how traders communicate with each other via chatrooms in order to keep up with the trends and get actionable insights from peers. Most of these platforms, especially those offering free access, are a cluster of activity that needs to be moderated to ensure the interactions are civil and legal.  Why do it manually through  professional moderators when you can use an automated AI system?

People who use financial databases are aware of the hardships of ensuring information is structured and legible. Don’t worry! Knowledge graphs are here to help.

Chatbots require large amounts of training data to perform correctly. If you want your chatbot to recognize a specific intent, you need to provide a large number of sentences that express that intent, usually generated by hand. This manual generation is error-prone and can cause erroneous results. How can we solve it? With artificially-generated data.

Thousands of financial news headlines appear every day on your phone screen. Do you have time to read them all? We dare to say you probably don´t. What if you could ask your news provider to inform you on your interests? Now that’s possible thanks to our AI technology for chat-based financial news based on NLP.

When working on AI projects, owning data to nurture your solution is key for good performance. Gathering e-mails and conversation logs to train your bot may be as good as a makeshift solution, but this lack of data can now be cut off at the root. Why not start farming your own data instead of harvesting it?

According to Gartner, the Customer Engagement Center (CEC) is one of the fastest-growing application software markets. Have you already jumped on the bandwagon of contact center chatbots, but didn’t get the expected results yet? Most consumers switch to a competitor after one bad customer experience. Can automation actually improve service?  Stop wasting time and start making your chatbot work!