automatic execution of various machine learning algorithms to then focus on the results to evaluate many scenarios and define changes in business processes Review collected by and hosted on G2.com.

can be used in qliksense (paying an additional) but with limited capabilities Review collected by and hosted on G2.com.

Helps to navigate easily and analyse quickly Review collected by and hosted on G2.com.

As far as analysis is concered. I havn't faced any drawbacks Review collected by and hosted on G2.com.

No painful task of writing lots of line of code. So many options to choose the ML algorithm. Easily integrated with Qlik dashboard. Review collected by and hosted on G2.com.

Would be good to be able to change the p-value and confidence intervals for predictions Review collected by and hosted on G2.com.

surely it is a way to approach and exploit advanced analyzes without the need to write code and to know in depth complex statistical programming languages. it is also connected to the qlik ecosystem and allows you to combine the ML with the presentation of the data Review collected by and hosted on G2.com.

I believe it is a young tool still to evolve that tries to respond to an emerging and very complex need. it is a tool of great potential that must however grow and be enriched by the experience of those who use it Review collected by and hosted on G2.com.

Qlik AutoML being very easy to use and giving the users a code-free experience is the best USP of the product. A person with very little knowledge of ML but who cannot write a code in Python can easily use the ML models and run it easily on the datasets. Its integration with Qliksense makes it further easier to analyse the results of the models, publish the complete data and generate business insights without much hustle. Another feature that I liked the most, is that Qlik AutoML itself ranks all the possible ML models and helps us choose the best model for our dataset. Review collected by and hosted on G2.com.

While providing code-free ML models is a pro, I feel it is also a con as there is very little flexibility and control over the ML models. At the same time, in scenarios where we have a complicated dataset and a single ML model might not be the best choice for accurate predictions rather a combination of ML models might provide us with better results and accuracy, this is something that I feel is missing from Qlik AutoML Review collected by and hosted on G2.com.

Basic Regression and Classification Models are accurate Review collected by and hosted on G2.com.

Feature Engineering and Model enhancement capabilities are limited Review collected by and hosted on G2.com.

Qlik AutoML's breakthrough feature is the ability to have a code-free machine-learning experience. Python is no longer a must-have to allow a user to dive into machine learning. Review collected by and hosted on G2.com.

While having a code-free machine-learning experience is advantageous, it can also be highly limiting and inflexible. Being able to toggle between a code-free and non code-free experience would take this product to the next level. Review collected by and hosted on G2.com.

The fact that you can predict data and train your system to be more and more accurate over time. It really helps us for data projections and previsions. Review collected by and hosted on G2.com.

Nothing in particular. Everything is fine. Review collected by and hosted on G2.com.

With AutoML, what we like the most is the ease of use, no-code and no need for extensive knowledge of machine learning techniques. Review collected by and hosted on G2.com.

I am not a great expert in the world of machine learning, however, I believe that this ease of use can make processes less flexible and less customizable Review collected by and hosted on G2.com.

Before Auto ML, I used Qlik View for my visualization reports. Now, I am using Auto ML as well. Auto ML gives faster solutions to any data science problems. Since there are other Auto ML tools are available, this one also a good option. Review collected by and hosted on G2.com.

Data science is vast technology and at the same time, Auto ML does not provide all types of solutions right now. I believe, that during this time, they will improve themselves. Review collected by and hosted on G2.com.