How Wovenware Does it
Wovenware follows a human-centric approach to the development of predictive analytics solutions to deliver measurable business value.
We rapidly build and test the performance of your predictive analytics solution to ensure that it is accurate and meeting your specific needs. We also assess your enterprise-wide data and supplement it with synthetic data to ensure we have the right data-sets to effectively train the algorithm to perform at its best. And, once your solution is deployed, we continue to refine and test it to ensure that it is getting smarter every day.
Before writing the first line of code
What Companies Should Consider when Implementing Predictive Analytics
As organizations become more dependent on AI, it’s essential that they provide the most intuitive, engaging user experience. Below are some tips to accomplish this
Using the voice of our customer as a north star
Learn how companies like yours
are winning with Wovenware
Check out how other companies have overcome digital challenges that may be similar to your own and how we did it together.
Churn Prediction Models Improve Health Insurance Customer Retention
Blue Cross Blue Shield Provider
The Puerto Rico-based provider turned to Wovenware to create a machine learning model for predicting churn among Platinum Advantage members with claims and demographic data.
Predictive and Prescriptive AI
AI-based predictive analytics is gaining steam across industries, helping firms root out problems even before they occur; but the problem is that prescriptive AI has not quite kept pace with predictive AI. Learn the difference between prescriptive and predictive AI.
How Machine Learning is Transforming Insurance
The wave of innovations using machine learning in insurance is just getting started. We can expect other technologies to continue to gain ground in the upcoming months and years and will likely see new business models for insurers.
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