It is straightforward to forecast sales or customer churn/retention ou Employee Retention / Attrition Prediction, Employee Satisfaction, Recruiting / Candidate Profiling Review collected by and hosted on G2.com.

I really don't have anything I disliked about qlik autoML, being extremely useful for my company Review collected by and hosted on G2.com.

Without knowing any tool as Python or R you are able to create and teach the model for prediction purposes. Very easy to use and ut seems to be working compared to other tools on market.

Available as a built-in from Qlik Cloud. No configuration needed. Review collected by and hosted on G2.com.

Limited without proper license ehich is very expensive. Support tesm is not fast in some cases. Review collected by and hosted on G2.com.

I like that it is sufficient as an all-in-one ETL and BI tool. The extremely fast rendering time of reports. Also, Qlik Auto ML offers a range of model deployment options. Whether one wants to export models for use elsewhere or deploy them in the Qlik environment. Review collected by and hosted on G2.com.

Dislike about Qlik AutoML is the transformation of data is slow and visualization capabilities could be better. It is also costly AMC high memory usage. Review collected by and hosted on G2.com.

Super fast service and its build quality Review collected by and hosted on G2.com.

Nothing as such because most of the things I find very useful Review collected by and hosted on G2.com.

automl refuse to the ml task is also train test and then deployed. it is used for s analysis task Review collected by and hosted on G2.com.

it have some limitations for using and training Review collected by and hosted on G2.com.

Easy to use. Since I have used Qlik before, it was easy for me to use. No need for any coding background. Understanding the data is needed to generate predictive models. Review collected by and hosted on G2.com.

We cant customize the code. It would be helpful if we have that privilege. We can use only a limited number of cells while importing the datasets. Review collected by and hosted on G2.com.

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.