Read more about author Amit Shaked. The cloud was the driving force behind much of the digital transformation sparked by COVID-19. Public cloud applications and services allowed enterprises to support employees as they shifted to a fully remote workforce, and now many major components of day-to-day business are on the cloud. In fact, the cloud market is projected to amount to $832.1 billion by 2025. Enterprises should take advantage of all that…

Read more about author Corey Weisinger. In this blog post, I'd like to introduce some basic concepts of reinforcement learning, some important terminology, and a simple use case where I create a game playing AI in my company’s analytics platform. After reading this, I hope you’ll have a better understanding of the usefulness of reinforcement learning, as well as some key vocabulary to facilitate learning more. Reinforcement Learning and How…

Read more about author David Willingham. Data-centric AI is gaining momentum among engineers. While traditionally, a model-centric approach has been used to improve accuracy for a variety of applications, the increase of data available today and the benefits of using reliable data are leading engineers to reevaluate their priorities and workflows. With a model’s performance so dependent on the quality of the data it is being trained with, this data…

Read more about author Valentina Synenka. Data engineering is a fascinating and fulfilling career – you are at the helm of every business operation that requires data, and as long as users generate data, businesses will always need data engineers. In other words, job security is guaranteed.  But, with such great power comes great responsibility. The journey to becoming a successful data engineer features tricky terrain that you need to navigate and…