Qlik AutoML

What do you like best about Qlik AutoML?

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.

What do you dislike about Qlik AutoML?

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.

What problems is Qlik AutoML solving and how is that benefiting you?

Qlik Automl is solving majorly every problem I gues related to data in every domain. It supports many algorithms, allow us to make insights, reports, prediction and many more. It is benefiting me to make quick prediction of customer data with just one click without diving into a so much detail of the data.

What do you like best about Qlik AutoML?

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,

What do you dislike about Qlik AutoML?

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

What problems is Qlik AutoML solving and how is that benefiting you?

Several issues that are frequently encountered in the fields of data analytics and machine learning are addressed by Qlik AutoML. Qlik AutoML provides customers with a number of advantages by overcoming these difficulties. Here are some issues that Qlik AutoML helps to resolve and the advantages that follow:

Machine learning complexity: Conventional machine learning techniques can be difficult to implement and need for a high level of technical know-how. By automating a number of processes, including feature engineering, model selection, and hyperparameter tuning, Qlik AutoML streamlines the machine learning workflow. Users gain from this since it lowers the entrance barrier and makes machine learning more accessible to a wider range of users.

Model Development Can Be Time Consuming: Developing and optimising machine learning models can be labour- and resource-intensive. These procedures are automated by Qlik AutoML, which drastically cuts down on the time and

What do you like best about Qlik AutoML?

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.

What do you dislike about Qlik AutoML?

what I dislike about the product is the flexibility which scripting language provides to tackle complex scenarios.

What problems is Qlik AutoML solving and how is that benefiting you?

The problem Qlik is solving is it is reducing repetitive task and duplication of work this has led to saving in costs and effectiveness and efficiency of real time decision making process by Integrating and automation of different SaaS-platforms and APIs along with Datalake.

What do you like best about Qlik AutoML?

Accurate analysis, easy to use frequently and great predictive models

Great integration and easy implementation

And support is great for the issues caused

What do you dislike about Qlik AutoML?

Nothing, it's helping to learn new age technology

What problems is Qlik AutoML solving and how is that benefiting you?

Finding out accurate results for large model datasets and great research tool

What do you like best about Qlik AutoML?

It is straightforward to forecast sales or customer churn/retention ou Employee Retention / Attrition Prediction, Employee Satisfaction, Recruiting / Candidate Profiling

What do you dislike about Qlik AutoML?

I really don't have anything I disliked about qlik autoML, being extremely useful for my company

What problems is Qlik AutoML solving and how is that benefiting you?

Forecast sales, customer churn/retention, Employee Retention / Attrition Prediction, Employee Satisfaction, Recruiting / Candidate Profiling