Qlik AutoML Reviews & Product Details

Qlik AutoML is good for its user-friendly, no-code approach to machine learning, making predictive analytics accessible to business users without requiring programming skills. Its seamless integration with Qlik Sense allows for easy incorporation of AI-driven insights into interactive dashboards, enhancing decision-making. The platform automates feature selection, model training, and streamlining the entire ML workflow. Its explainability features provide transparency into model predictions. Review collected by and hosted on G2.com.

Qlik AutoML has no-code approach which restricts customization, making it less suitable for advanced users who would need more control over model development. The model deployment is primarily tied to the Qlik ecosystem, limiting flexibility for organizations using other analytics tools. For large-scale or highly complex ML tasks, it may not be as powerful or scalable as enterprise-grade solutions like Google AutoML. Review collected by and hosted on G2.com.

I like the seamless integration with Qlik Sense and how quickly you can build and deploy predictive models Review collected by and hosted on G2.com.

The model customization is a bit limited compared to full-code platforms, and the deployment options could be more flexible, if integrating into external workflows beyond Qlik Sense. Pricing may be a problem for budget oriented companies. Review collected by and hosted on G2.com.

I appreciate how intuitive AutoML is, even for users without a data science background. The no-code interface lets us quickly create, test machine learning models on our datasets. It accept a lot of connectors. Review collected by and hosted on G2.com.

It has some limitations in terms of model customization and advanced parameter tuning Review collected by and hosted on G2.com.

friendly to use interface and helps me to my project to implement without codes also smart to trained predict feature like smart predict the scenarios. implementation and integration is also friendly based. Review collected by and hosted on G2.com.

need to improve the customer response time. Review collected by and hosted on G2.com.

Its helping me in my project to integrate with various data sources and forming into a dataset,we also use this for reporting purposes Review collected by and hosted on G2.com.

So far i dont see any drawback with qlik auto ml Review collected by and hosted on G2.com.

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.