Data Science is a structured approach to extracting valuable insights from data, and it involves several key stages to ensure success. Let's explore each phase in detail: By following this structured ...

I recently moderated a webinar roundtable on behalf of Domino Data Lab called “Unleash Data Science for the Model-Driven Business You Expect.” I don’t know that everyone expects a model-driven ...

The BYU College of Computational, Mathematical and Physical Sciences (CMS) faculty and staff held a kick-off event to bring ...

Nicole Janssen is the Co‐founder and Co‐CEO of AltaML, a technology scale-up that elevates human potential with applied AI. At a time when we are all too familiar with the concept of supply chain ...

Data science is sometimes described as a diverse field. It differs from data analytics in that it calls for domain ...

Moving data science into production has quite a few similarities to deploying an application. But there are key differences you shouldn’t overlook. Agile programming is the most-used methodology that ...

Building deep and ongoing data science capabilities isn't an easy process: it takes the right people, processes and technology. Finding the right people for the right roles is an ongoing challenge, as ...

More than a year after announcing plans to automate the feature engineering phase of artificial intelligence projects, Seattle-based startup Kaskada Inc. is bringing its first product to market.

In an effort to remain competitive in today’s increasingly challenging economic times, companies are moving forward with digital transformations — powered by data science and machine learning — at an ...

Discover what data science is, its benefits, techniques, and real-world use cases in this comprehensive guide. Data science merges statistics, science, computing, machine learning, and other domain ...