Meet Cognira in Las Vegas at Groceryshop 2026 | September 22 – 24 2026 | Request a meeting
Deep learning in retail is one of the latest buzzwords. Many retailers are adopting deep learning instead of traditional methods. While this approach has its advantages, it also comes with risks. Before making the switch, it’s crucial to understand where traditional approaches still excel. Want to learn when traditional methods
Deep learning is a major buzzword the retail industry has become infatuated with. Many assume that deep neural networks are the end all be all and should replace traditional algorithms altogether. However, there is no one perfect model to predict every component. Before jumping ship from traditional algorithms, it’s vital
Mark Bloemeke Co-founder and Chief Technology Officer With each passing year, technology is becoming more advanced, effective, and most importantly, more personalized. With the help of artificial intelligence (AI), daily tasks and processes that are unique to us are automated by a learning system to further bring efficiency and value
Data science has proven to be a valuable asset for retailers strategies, operations, financial performance, and competitive advantage. However, operating as a data-driven organization is challenging. Our VP of Science Delivery, Linda Whitaker provides her insight on the struggles retailers experience when becoming a data-driven organization. Have you read our
Meet the team Cognira series We’ve all heard the saying coined by Francis Bacon, ‘knowledge is power.’ But is that saying actually true? As Eric Thomas brilliantly puts it, “Knowledge isn’t power, applied knowledge is power.” When we have the opportunity to not only grasp a concept but also apply
By Stephen Gardeen Principal Data Scientist at Cognira If we were to ask a retailer how much revenue they lose in lost sales per year, many would scratch their heads, or turn to unreliable data to crunch the numbers. The reason? They don’t have the proper tools to calculate it.
https://www.youtube.com/watch?v=jdaIK73ytzU It’s no secret that technology is becoming more advanced, effective, and personalized. But how does AI positively impact retailers? Here are 4 reasons why retailers should invest in AI! (and while you’re at it, check out our blog on the power of AI in retail)
Linda Whitaker VP of Science Delivery It’s no secret that advanced science technologies are becoming critical for business success (yep, even for retail). With the power of data science, retailers have the opportunity to enhance marketing strategies, operations, financial performance, and of course, stay ahead of the competition. However, despite
Analytics buzzwords are used every day. (Big data, ML/AI, deep learning ring a bell?) But before we dive into those, let’s start with the basics…what is #analytics and how has it progressed over time? In our latest blog, we take you through the analytics evolution – from descriptive to cognitive
Over the last decade, we have seen Data Analytics evolve at a tremendously fast pace. With the introduction of Big Data, the Cloud, Data Warehouses, and Artificial Intelligence, Data Analytics had to move with the times…fast. Despite analytics playing a key role in technology, many are unable to define and
