3101 E President George Bush, Richardson, TX 75082, United States


Ishit Vohra

Ishit Vohra

Project Manager

Softweb Solutions

About Event

People have been talking about machine learning very prominently today. Companies are very much aware of the benefits this can offer to their business. A ML platform encompasses a complete package of models and algorithms that help businesses to make their processes, products and services better.

Businesses want their products and services to stand out of the line so that to elevate the customer retention and profit. With the help of a ML platform, achieving a profitable process can now be done easily. To explain the features, algorithms and benefits of a ML platform, we welcome you to our event on December 12, 2017. The event will be focused on how a ML platform can help in making the processes like pulling out data, predictive maintenance and many others can be made easy, which in turn can help you in achieving a better engagement with customers.


  • Introduction to machine learning
  • Why your business needs machine learning
  • ML platform architecture
  • Latest trends and industry adopters
  • Business use-cases
  • Demo
  • Q&A

Questions & Answers

The following are the answers to the questions that were asked during the Event.

Question 1: What are the challenges businessare facing in adopting machine learning

Answer 1: Machine learning is playing an important role in improving business processes of many organizations, of course those who are using it! But for those who are planning to venture machine learning projects are facing certain challenges. These challenges are acting like the bottleneck for organizations to roll smoothly on the road of digitalization. And the challenges are;

-  Cost of bringing data to one point
-  Lack of specialist
-  Inflexible business models
-  Restricted learning
-  The inability or reticence to test and experiment
-  Fear of the technology

Question 2: What are some of the common algorithms used to process the data in machine learning?

Answer 2: Some of the most widely used algorithms are;

-  Deep learning concept
-  Prediction
-  Natural language processing
-  Neural networks
-  Feature selection

Question 3: Does the machine learning model update itself as more data is added to it?

Answer 3: In order to get the best possible outcome from the machine learning algorithm, the model should be regularly updated. However, the model is not updated by on its own; it has to be done manually.

Question 4: What features does Softweb's machine learning platform provide to the businesses?

Answer 4: Softweb ML platform can be integrated with an IoT platform or can also be used stand-alone for generating predictive models. The features of our ML platforms are as follows:

-  Connect data from several data sources
-  Integrations and API and social media channels
-  Data cleaning
-  Feature engineering
-  Classification
-  Regression
-  Natural language processing
-  Web service creation
-  Image processing

Question 5: What is the difference between machine learning and AI?

Answer 5: Artificial Intelligence (AI) and Machine Learning (ML) are two very hot buzzwords right now and often seem to be used interchangeably. They are not quite the same thing, but the perception that they are can sometimes lead to some confusion. Well, Artificial Intelligence is the broader concept of machines being able to carry out tasks in a way that we would consider “smart”

On the other hand, Machine Learning is a current application of AI based around the idea that we should really just be able to give machines access to data and let them learn for themselves.

Question 6:Is there any common source of data we can use to apply algorithms to?

Answer 6: During our PoV and workshops of ML platform, we offer some sample data-sets on which you can apply your algorithms. This will allow you to have a crystal clear idea about the working of Softweb ML platform and you can have true results from it.