FactoLearn offers in-house machine learning. This Facto solution finds and applies patterns using datasets analyzed with FactoLyze. FactoLearn communicates with large-scale structured query language (SQL). FactoLearn provides systems the ability to automatically improve.
We work with you to embed a library that best serves your needs. You will have one cohesive system integrating machine learning.
Building your own artificial intelligence (AI) solutions is simplified and cost effective with FactoLearn. FactoLearn is embedded with multiple machine learning libraries which are adapted to suite your business needs. You have a choice of libraries and metrics, such as Tensorflow, NumPy and SciPy. The metrics you select to evaluate your machine learning model influences how performance is measured and compared.
We power FactoLearn with Apache Spark, a unified analytics engine. Unified analytics merges data science and data engineering to accelerate AI innovation for enterprise organizations. The lightning-fast engine helps FactoLearn
As humans, we use past experiences as a part of our learning processes. Teach your automation system to do the same. FactoLearn engages the intelligence of your system in responding to data.