G2

Simon J.

Enterprise (> 1000 emp.)

4/29/2020

"AI and machine learning platform that can democratise data science"

5/5

What do you like best about Kortical?

Kortical's auto-ML platform accelerates the time it takes to move from explorational to deployment as a data scientist. By automating the vast majority of steps in a machine learning pipeline, Kortical enables a data analyst to build production ready machine learn solutions. There are a wide array of supervised learning algorithms to tackle different problems. Review collected by and hosted on G2.com.

What do you dislike about Kortical?

For the more advanced data scientists, there is probably a desire to hand craft machine learning solutions from scratch and to be incomplete control of the workflow. There is also a need to conduct most feature engineering prior to ingesting data into the platform. Review collected by and hosted on G2.com.

Recommendations to others considering Kortical:

If you are looking for a machine learning platform for analysts who don't have PhDs in AI or machine learning, Kortical is an excellent platform for demoncratising the availablity of AI/ML solutions. It builds models and makes deployment easy. You will probably still do you data preparation in advance of using the platform. Review collected by and hosted on G2.com.

What problems is Kortical solving and how is that benefiting you?

The most problem we are solving is the ability to build prototypes with little domain knowledge on a particular subject. This unlocks the benefit of reducing time to production (reducing effort 3-10x). It permits more time to experiment at the beginning of a project and there is no time wasted in provisioning the appropriate cloud environment. Typical business problems include binary classifiers for event prediction (cross-sell, churn) and regressors for forecasting. Review collected by and hosted on G2.com.