Artificial Intelligence and Machine Learning 

If you’ve been keeping up with the latest technology news, you know that artificial intelligence (AI) and machine learning (ML) are two of the biggest buzzwords right now. And for good reason – these technologies are making huge strides in making our lives easier. But what exactly are AI and ML, and how do they work? Let’s take a closer look at these two technologies and explore how they’re making our technology “smarter”.

What exactly are AI and ML? 

At its core, artificial intelligence is the process of using computers to simulate human intelligence. This can be anything from understanding natural language to recognizing objects and faces. Machine learning, on the other hand, is a subset of AI that focuses on giving machines the ability to learn and improve from experience without being explicitly programmed to do so.


These technologies mimic the behaviors of humans and other animals that exhibit natural intelligence. AI products analyze the results of their behavior and refine their working models until they have achieved high accuracy. AI and machine learning integrate with numerous technologies to make them “smarter” and more capable.

What is so smart about artificial intelligence? 

In general, artificial intelligence is smart because it can take the data it has been given and use that data to learn. The more data that is fed into an AI system, the better it can learn and make predictions. Additionally, AI systems are constantly getting smarter as they refine their algorithms and models.


One of the key benefits of integrating with existing RPA automations is to use machine learning to make human-like choices with lightning-fast speed. Products can use machine learning to enable scheduling and orchestration of a digital workforce to meet SLAs.  Machine learning can also be used to automatically populate fields in workflows.

This is just the beginning of how AI and machine learning are making technology smarter. As these technologies continue to evolve, we will see even more amazing and life-changing innovations. Just imagine what the future holds.

AI and ML Use cases include but are not limited to:  

  • Fraud detection in financial services
  • Predicting consumer behavior
  • Improving search results
  • Speech recognition
  • Cybersecurity