Natural Language Processing (NLP) In Healthcare
The applications of NLP in Healthcare are exponentially growing. It is projected that it will grow from USD 1030 million…
Predictive Analysis to identify future outcomes with historical data
High-performance enterprises are leveraging Predictive Analytics to gain insights that help them identify unexplored opportunities and predict risks.
Our predictive analytics services help enterprises with the insights to foresee developments, be prepared with adequate response, and capitalize on future business trends. Our services helps businesses harness their data and extract actionable insights to help them in pricing products, predictive maintenance, identify sales trends, maintaining inventory, etc.
Our Predictive Analytics solutions drive business insights that enhance the decision-making process, along with –
To know more about our services in Predictive Analytics and for free consultation
What to predict about the future, what decisions can be driven from insights obtained, what actions can be taken
Data extraction from various sources, data cleansing, data analysis
Model building, Model refinement, and model deployment
Any industry can leverage our Predictive Analytics solutions to optimize operations, reduce risks, and increase revenues. With our arsenal of Predictive Model techniques, that extend far beyond the typical linear or logistic regression models, we build solutions for various domains including
Human Resources
Robotics
Marketing
Logistics
Production
With the growing number of visitors on various eCommerce sites, we predicted the behavior of visitors opting for coupons from an affiliate with 97% accuracy. With 6 months of historical data derived from Google Analytics, our ML- driven Predictive model successfully identified the users visiting the eCommerce website and then leave for an affiliate website to find coupons.
By leveraging Machine Learning models, we predicted whether the ATMs will fail to work on a respective day of an error occurrence. With some data missing from the data set consisting of the error logs for 983 days, we balanced the gap by using the upsampling models before applying the various machine learning models. Our best model predicted 94% accurately and would help banks with a lesser downtime and enhanced brand image.
The applications of NLP in Healthcare are exponentially growing. It is projected that it will grow from USD 1030 million…
Text analytics, also known as text mining, defines the process of semi-automatically collecting, aggregating, segregating, and analyzing large volumes of…
NLP in pharma is at the tip of the iceberg. with evolving application of it, the pharma industries leveraging the…
Feel free to say hello for any queries and questions. We would be happy to answer your questions & setup a meeting with you.