Without Image

If you’re a retailer looking for innovative approaches to engage customers, sometimes the answers are more available than you realize and found in evaluating company data. Data analysis provides insights to help you increase consumer engagement with the right products, services or messaging at the right time, through potentially multiple devices. However, evaluating large sets

One of the most critical challenges with the data of the retailer is to determine the substitutable product pairs, usually online. While we apply machine learning approaches, it should involve assortment optimization engines to generate outcomes. The shopping experience is definitely ruling the brick and mortar stores, however, the rise of online shopping has revolutionized

The implementation and growth of open source software (OSS) across business functions and geographies has had many positive impacts making it sometimes worth the hidden risks, in particular to help businesses to quickly develop new processes faster. OSS is generally free, making it popular for teams wanting quick results without budget sign-off or the fear

Whether being used to clean data, surface trends and insights, or make forecasts, machine learning is increasingly becoming an important tool for data analytics. Organisations are processing more data than ever, so naturally want to harness this data to make decisions. Data analytics is the process of gaining insight and actions from data. As organisations gain

As machine learning gains traction across industries, businesses are finding new and novel uses for the technology. However, as soon as your organization moves beyond a handful of models, management and observability of this growing system can become a significant challenge. This is where the machine learning maturity model plays a part. Without proper monitoring,