Woocommerce Vs Drupal Commerce: What's the Most Desirable Ecommerce Platform in 2016?

whitePaper | January 4, 2022

When people hear AI they often think about sentient robots and magic boxes. AI today is much more mundane and simple—but that doesn’t mean it’s not powerful. Another misconception is that high-profile research projects can be applied directly to any business situation. AI done right can create extreme return on investments (ROIs)—for instance through automation or precise prediction. But it does take thought, time and proper implementation. We have seen that success and value generated by AI projects is increased when there is a grounded understanding and expectation of what the technology can deliver from the C-suite down.

whitePaper | September 12, 2022

A seamless customer experience has quickly emerged as a critical differentiator for businesses across all industries.1 And the bar is set high – using artificial intelligence (AI) to deliver touches like personalization, gamification and around-the-clock customer support has become an all but everyday expectation for a large number of consumers.

whitePaper | August 5, 2020

Your cloud-enabled future loomed bright. Major budgets were allocated. Agonising hours were spent herding stakeholders. You’re now using cloud, but your teams and the wider business aren’t reaping the expected benefits. Even with the best intentions, tech leaders are struggling to fill those skills gaps, particularly when it comes to cloud implementation, migration and net new deployments. As a result, the business is held back – from capitalising on the cloud’s potential to deliver value internally (boosting efficiency and agility) and externally (delivering products and services that boost revenue).

whitePaper | December 22, 2022

Machine learning, one of the key building blocks of AI, has been a part of the technological world since the 1950s, when the earliest programmers asked computers to make sense of large sets of data. Programmers have increasingly refined the ability of machines to study data in order to detect patterns that allow computers to then organise information, identify relationships, make predictions and detect anomalies. Today, modern applications of AI have already given us self-driving cars and virtual assistants and have helped us detect fraud and manage resources like electricity more efficiently. Sectors as diverse as retail, sports, banking, manufacturing and healthcare have all found applications for machine learning and AI.

whitePaper | August 25, 2022

The document focuses on the best practices to consider for API design by breaking it into its basic building blocks. Along with each recommendation the document also describes the reason and impact of a certain design decision through scenarios. The document provides recommendations on object representations, usage of headers and URL/URI templates to consider.

whitePaper | February 17, 2022

Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data.