Here's just a small sampling of use-cases we have delivered over the years.
Supply Chain + Predictive Models = Significantly lower operating Costs
Built a data platform to ingest 400,000 messages per second from vibration sensors located on drill bits
Scored these messages and if it breached KPI's, we integrated with SAP to pull out a bill-of-materials to place an order with the supplier
Data ingested was then used to build predictive models that showed proactively when a drill bit is going to go bad so that the engineer can scheduled a planned outage to replace the drill bit.
The automation and predictive insights added tremendous business value to solve a problem that would costs millions if outages were not planned.
Medical Insurance claims completed in minutes from weeks of preparing claims
Insurance Claims in minutes vs weeks
a solution to scan, index and load documents into a platform where we could drive automated workflows
file insurance claims
perform intelligent searches
build themes on the data in an unsupervised way
connect data using sciences algorithms to create insights, create document drag based on KPI's or attributes.
N4MATIVE Personalized Video = A market of one
This use-case involved building a personalized video to engage with customers in a differentiated way.
Today customers get coupons or mailers that incentivize customers to take advantage of services provided.
These incentives could be discounts, additional services or new product and services.
These are mass mailers with no analytics and its hard to measure if customers have seen and read the content.
A more effective way is to replace this type of marketing with NPV with analytics.
Analytics will show us how successful a campaign is by monitoring when the video was opened, watched, rematched, forwarded etc.