Unlocking the power of natural language search PRAMANA SHIFT
Just one of the large problems now with knowledge is that we just have far too much of it. Even though we could be able to accessibility that knowledge, it can be tricky to quickly come across the facts that is related. Domo allows clear up element of this dilemma by bringing information at scale into a single system. Having said that, occasionally we have to have to make data even more simply obtainable to a primary consumer. This is the place normal language look for can support and Domo has partnered with Pramana Labs to embed their Shift natural language technology into Domo. The Shift technological know-how allows me wire up several datasets into a solitary interface and start off making search ordeals for kinds of data that could be beneficial. It is completely customizable and not a “black box” – allowing for unique enterprise logic at your control. For this instance, I went to a variety of our past Domo on Facts blog posts to provide collectively some crucial financial data on inflation, fuel selling prices, layoffs and quits and unemployment statements. Now, in Change we have a solitary area wherever you can ask queries about these metrics. When I start out inquiring a concern in Change it will start out exhibiting me prospective issues and Statlines that match what I kind. For case in point, down below if I form “los angeles gas” then I commence looking at potential concerns throughout the datasets. If I click on into just one concern, I can see additional aspects on that query. I can even export the insights from success I get. And as I research I will be offered solutions, so when I form “food” I will see the several inflation groups with foodstuff in the title. Use the best menu to discover the insights by using Statlines or Stream which is an location to share extra insights. For additional data on the Pramana Shift know-how, e-mail [email protected]. Go in advance and give Pramana Change a test below so you can get solutions to your inquiries about inflation, gasoline selling prices, layoffs and much more.
