Qlik AutoML Pros and Cons

Best thing I like about Qlik AtoMl you you don't allow me to involve so much into the mathematics and states. It is simple to use. It supports multiple algorithms because of this I can dealt with any kind of data. Also I read that It supports Artificial algorithm in the backend which is quite amazing. Majorly I used it for the customer data. With one click it generates a report and saves me a lot of time. Review collected by and hosted on G2.com.

Since I only used it for the prediction and analytical purpose I did not find as such problem with this system. overall navigation, features everything works well. Review collected by and hosted on G2.com.

User-Friendly Interface: Qlik AutoML provides a streamlined and straightforward user interface that enables users to use strong machine learning capabilities without substantial data science expertise.

Automated Model Selection: One of Qlik AutoML's distinguishing characteristics is its ability to automatically choose the best machine learning algorithms for your particular dataset, saving time and effort in the model selection process.

Automating time-consuming machine learning processes including feature engineering, model training, hyperparameter tuning, and model evaluation is possible with Qlik AutoML. As a result, users are able to concentrate more on drawing conclusions from data rather than becoming mired down in intricate details.

Flexible Model Deployment Options: Qlik AutoML offers a range of model deployment options. Whether you want to export models for use elsewhere or deploy them in the Qlik environment, Review collected by and hosted on G2.com.

Limited Algorithm Selection: Despite the fact that Qlik AutoML automates the model selection procedure, some users may feel that the platform's choices of algorithms is somewhat constrained when compared to other, more specialised machine learning solutions. For consumers who need to have access to a wider variety of algorithms for their unique needs, this can be a problem.

Lack of Customization: Because Qlik AutoML attempts to provide an automated and user-friendly experience, some sophisticated users may find the lack of customization choices and fine-grained control over the model-building process to be constrictive. This could be a disadvantage if you'd want to have greater influence over the method selection, hyperparameter tuning, or feature engineering.

Dependency on Qlik Platform: The Qlik analytics platform ecosystem is where Qlik AutoML is intended to operate. While providing seamless integration Review collected by and hosted on G2.com.

What I like about the product is the Datalake automation and integration of real time streaming capabilities from different platforms with a no code approach. Review collected by and hosted on G2.com.

what I dislike about the product is the flexibility which scripting language provides to tackle complex scenarios. Review collected by and hosted on G2.com.

Accurate analysis, easy to use frequently and great predictive models

Great integration and easy implementation

And support is great for the issues caused Review collected by and hosted on G2.com.

Nothing, it's helping to learn new age technology Review collected by and hosted on G2.com.

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.