I highly rate ThirdEye. The quality of the product, the consulting, the collaboration, the documentation & the innovative thinking is exactly what Microsoft is looking for from a technology vendor, and they delivered ‘first class’ across the board.
ThirdEye helped us to identify opportunities to efficiently utilize our Big Data platform. They also identified potential issues that we were able to remediate before they impacted the user experience. They have been a good partner sharing their experience & learning in the different Cloud-based ML offerings in the market.
Their work made team members more aware of the importance of data and how it can make a difference for our company. We saw a shift in the culture of the company, and of people being more aware of keeping track of data and reporting on data.
ThirdEye helped augment our Machine Learning based Customer ConversionPlatform using the best-of-the-breed open source technologies in a very cost-sensitive manner while working on a strict delivery schedule. We highly recommend ThirdEye for Data Engineering & Data Science consulting services.
ThirdEye demonstrated an ability to produce a highly specialized application in a timely manner. They also exhibited extensive knowledge of algorithms, mathematical principles and admirable work ethics.
Developed in partnership with Microsoft, Dream Demos in a Box (DDiB) are fully functional, pre-packaged, and easily customizable solutions that cover most everyday Data & AI challenges in various industries like Retail, Healthcare, Manufacturing & Finance. You can just click on a button to deploy in your Azure account within hours, not weeks!
This is a one-click deployable solution for Outlier Detection in web server logs. This solution allows companies to gain hidden insights into their websites that would otherwise require up to ten times the effort and significant costs.
This is an Apache Spark based outlier detection implementation for data quality, cyber security, fraud detection, and other such business use cases. The ML algorithms with advanced analytics processes also predict possible anomalies.