Data Services Blog

As a manufacturer, you’re interested to see what data analytics can do for you? Then check out these 12 real-life examples for big data in manufacturing and see a nice and easy guide on how to start your big data action.

Explore five different types of artificial intelligence (AI) – analytic, interactive, text, visual and functional – and get inspired by real-life business examples of AI in action.

Data science with its deep learning algorithms allows for data-driven assessment of supplier risks. Is this approach good enough to undermine the position of a traditional one? Let’s explore how it works and what its advantages and limitations are.

We conducted secondary research, which serves as a comprehensive overview of how companies use big data. Here, you’ll find the big data facts and statistics arranged by organization size, industry and technology. You’ll also discover real-life examples and the value that big data can bring.

Dissatisfied with your demand forecasts? Instead of giving up on them completely, try reconsidering the methods you use. Here, we describe the approaches that will definitely work: traditional and contemporary data science.

Cancer diagnosis and detection have long been hot button issues, but with the advent of Artificial Intelligence and big data organization, a solution may finally be at hand.

With significant effects on multiple aspects of the businesses, chatbots have changed the way processes are carried out. This article describes what benefits they can bring to customer service management.

Setting up data quality management seems to be a blurry task? We show what a well-organized process looks like and enumerate the required tools. These best practices will help you improve the quality of your data and, ultimately, your decisions.

We explore how AI and IoT contribute to a healthier environment.

Check what security concerns artificial intelligence raises nowadays and why you should take great care and take preventive actions before hackers do any serious harm.

Artificial Intelligence is harped to be the next big thing in the banking sector. But, can it solve the industry’s most prominent issue ever? - the problem of cybersecurity.

Similar at first glance, Cassandra and HBase actually are quite different in terms of architecture, performance and data models. What are these differences, and how do they influence the tasks that HBase and Cassandra perform? It’s all here.