The cognitive and automation technologies behind artificial intelligence (AI) are quietly reshaping the world. Machine learning, deep learning, neural networks, biometrics, natural language processing, Big Data, and predictive analytics have unlocked our imagination, and things that were a dream a few decades ago are now a reality. Continue reading
Compliance with industry standards is not something you can skip or build in later—it is an integral part of the entire embedded software development process. It has always been crucial, considering that many industries—avionics, automotive, and healthcare, just to name a few—require highly sophisticated, safety- or life-critical embedded systems. In recent years, however, the role compliance tracking and embedded software testing play in the development cycle has greatly evolved, overturning the whole game’s rules. And when the rules of the game change, you have to change with them to win. Continue reading
Traditionally, or say 10 years ago, most organizations were functionally separated, and there was rarely cross-departmental integration between software engineers, test teams, and IT operations specialists. Departments usually had contradicting goals: developers sought new features, operations strived to ensure organizational stability, and testers wanted to minimize risks. However, the changing technology environment necessitates a change in the approach to the whole software development process. Continue reading
Over the past decade, health IT has evolved from an administrative mechanism to a clinical tool for improving the quality and efficiency of healthcare. Such cutting-edge technologies as the Internet of Things (IoT), cloud, big data, and artificial intelligence have made their way into the healthcare industry, and the rapidly growing scope of information shared has generated the need for accessible, affordable, and widely supported software development tools and technologies. Continue reading
Big data is a big deal in today’s world of technology. According to the IDG Enterprise 2016 Data and Analytics Survey, over 70% of businesses agree that big data has the potential to fundamentally change the way they do business and create new revenue opportunities in the next one to three years, while 53% of companies are currently implementing or planning to implement data-driven projects within the next 12 months.
Everyone is talking about Big Data. But what exactly is it and how does it work? Though the term is widely used and accepted, there is still no rigorous definition, which leads to serious misconceptions about what big data actually is.