Qlik AutoML Pros and Cons

Qlik AutoML is used to automate processes and generate models Review collected by and hosted on G2.com.

Qlik AutoML like any other automations has disadvantages like width 64px and run as per tenant Review collected by and hosted on G2.com.

Migration from Qlik Enterprise (on prim) to Qlik SaaS. We are excited to use AutoML. I would recommend Business users to create Predictive models by self, don't need to know any Data Science language like Python, R ..Qlik SaaS AutoML feature will do in quick time. Review collected by and hosted on G2.com.

If possible to include custom code in between. Review collected by and hosted on G2.com.

The training time is very less while running the models Review collected by and hosted on G2.com.

The results was not very promising in terms of accuracy, and other metrics Review collected by and hosted on G2.com.

It's a good and easy way to initiate business users who already are currently using Qlik in typical analytics tasks to initiate them in advance analytics. You can try different pre-trained machine learning models (called experiments). Review collected by and hosted on G2.com.

It's too simple. There is a limitation in the maximum number of cells of the dataset and there is no data prep functions inside the AutoML tool itself. You have previously to prepare your dataset ready to test the few models available. Review collected by and hosted on G2.com.

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.