The "Store of the Future" is a place where technology and data analytics is being used to curate personalised shopping experiences for the customer. The result of these efforts is increased customer engagement, loyalty, and sales, with some brands reporting up to a 20% increase in revenue since adopting these technologies.

Transformers models have become the go-to model for NLP tasks. In this short read, we will walk you through the end-to-end process of training highly robust NLP models using Transformers architecture, following a top-down approach.

As physical retail stores continue to close, Streamoid takes a look at what fashion retailers should be considering in eCommerce technical development to drive revenue and build brand loyalty in 2022.

Building a data processing pipeline is arguably one of the most common problem statements. This article provides an overview of how event-driven scalability can be achieved with a minimal amount of development and operations.

Read about how data & analytics can help build AI models and how they work. From a relatable example like the hare & the tortoise story, to learning how you can use simple principals to create your own AI models. This short read is a great place to start your research on building AI models with Streamoid's no-code framework.

If you are thinking of having data security as a one-shot project, then please reconsider. Data security works round the clock and is a company-wide practice. With piles of critical information being available online, you must safeguard it from data threats. With inadequate data security practices, you are putting your firm and yourself at moral and legal risks. At Streamoid, we take data security very seriously and are GDPR compliant.

With the absence of uniformity across client-facing APIs, retailers need to look for APIs that are developer-friendly and hassle-free to integrate. Learn how you can create standardized and secure APIs that create a frictionless experience for developers in integrating APIs.

Automation is good, it makes processes more economical, efficient and easier to scale. When we look at the timelines, within 300 years of the industrial revolution, we went from having horse drawn carriages to electric vehicles. In the 1700's the job description of “taxi driver” never existed. Soon, it may never exist again.