ENABLE QUICKER DECISIONS
Get on-demand answers to your BI queries without having to open any BI portal or a report. Make quick and informed business decisions with Malia.
Malia comes with the voice and chat feature, if you do not want to use voice as an input, you can easily opt for chat. Just like the messaging app on your phone.
Malia is integrated using Artificial Intelligence and Natural language processing which makes it easier for her to respond and understand the user’s questions in their natural language?
Yes you can use Malia on your phone, laptops, desktops or tablets, thanks to its device agnostic feature.
Operating Malia doesn’t require any technical knowledge; you can interact with the Malia interface by using chat or voice option and get answers to your business questions without actually opening any report or BI portal.
Yes it is possible for a single user to use Malia on multiple devices.
Malia is a form of AI, and is supported by complex programming. However, the way Malia answers depends on how structured or complex the question is. A structured query like: “Sales in the US today” could be answered easily. However, without the right programming, a question like “Are we killing it in the US today” may cause a traditional chatbot to respond with “I am sorry, I didn’t understand the question” or a similar response. Malia harnesses the power of AI which gives her a learning brain so she can figure out what you mean when you use “sales” and “killing” together. This deviation from a standard question will not daunt her and you can expect a reply along the lines of, “Your sales are at 5 million and you are definitely killing it in the US”.
Malia offers a range of capabilities that can be customized to suit your business. This includes defining the intent and entities, configuring those entities and binding intent with an associated action. Message processing begins from understanding what the user is asking. The intent classification module identifies the intent of the user’s message. Typically it is selected from a number of predefined intents, but Malia can identify multiple intents from one message. Intent classification can use contextual information, which is generally your business data. The entity recognition module then extracts structured bits of information from the message. The candidate response generator does all the domain-specific calculations to process the user’s request. It can use different algorithms, call a few external APIs, or even ask a human to help with the response generation. Finally, the response selector scores all the responses and selects the best response.
Malia is running on an Https protocol and it is completely secured to use and integrate.