I'm a Web App developer at a major airline, enabling natural language search for travelers using our Web ticketing app. I use simple optimized code to build a Intelligent AI Mind and integrate it with our complex compute + database infra. The AI Mind connects travelers to a personalized flight informational dataset that knows all about their travel.
Travelers can ask natural language questions like… “going to Denver next Sunday, what flight ideas do you have?” The AI mind will retrieve the list of suitable flights. And then “by the way, this is a ski trip.” The AI Mind will optimize the flights for allowing more time on the slopes and suggest an SUV rental.
Conversational AI Triage
I'm an application developer at a large commercial bank. I’d like to enable consumers to easily surface transactions that they’ve made, documents that they’ve signed and products that they’re eligible for.I create a Mind and connect it to the account data database, the document store and the product recommendation engine.
Then I can add a feature to that enables the end user is then able to ask questions in a chat interface like “please find the loan document I signed in 2022”, “how much money is in my checking account” and “can I get a better rate on my mortgage?”
Conversational AI Analytics
I'm an application developer at a leading solar panel installer and maintainer. We gather an enormous amount of sensor data from the panels we install and we also have lots of customer data, all stored in SQL databases and CRM applications. Our wide range of internal stakeholders, from engineering to sales, have an even larger list of data questions at any given time. With a couple lines of code, I can connect the SQL databases and other applications and create a Mind to act as a personal data analyst for each and every employee. Want to know which sales territories are underperforming over the last three quarters? Ask the AI Analyst Mind. Curious about the remaining inventory of a key component? Ask the Mind. You get it.
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