The role of customer experience is vital and known for a long time. According to the data gathered by CGS, 30% of customers are willing to pay more for excellent service. This can be delivered by listening to the voice of customers and constantly monitoring their...
Virtual communities make a difference, especially during a pandemic where people are unable to meet and interact in person. Slack is a real gold mine when it comes to finding inspiring peers who share similar data science joys and challenges. That’s why we have put...
Machine learning models can undoubtedly help humans make more informed decisions, with an increasing number of use cases among different industries. By feeding the algorithms with large amounts of data, they are able to identify patterns and make predictions...
Cybersecurity and AI are both complex enough on their own, but what are the possibilities and challenges when these two fields collide? With data continuously growing, a lack of talent, and increasing threats from digital attackers, the need for AI and machine...
Machine Learning (ML) is being applied successfully across many industries and by all kinds of organizations, from start-ups to large corporations. However, many encounter unexpected problems when trying to apply ML to their use case. In this post, we are going to see...
Data science is one of the hottest areas of growth within companies of all industries. Companies all over the world are scrambling for data science talent and the number of educational programs related to data science inside and outside universities continues to grow...
It’s the time of the year when we look back at some of the data science breakthroughs and accomplishments of the past 12 months. As in the previous years, AI and machine learning techniques have evolved at a rapid pace; and amazing research was published in 2021. We...
Machine learning and AI models depend on a unique set of annotations that declare a particular subject in a specific representation. If you want your model to make accurate predictions, you need quality data. How do we define quality? Annotations or labels. At the...
Data scientists know more than anyone else that good quality data is the foundation for useful artificial intelligence (AI) and machine learning (ML) models. Only when data quality is good, useable and from multiple sources is when the real potential of AI and...
As you begin to read this, have you ever wondered what natural language is anyway? Why this field of AI, which has been growing in popularity in the last decade isn’t called just language processing? And What is not natural language then? Learn in this article what...