Read on the extract of the guide “6 steps to jumpstart machine learning using the resources you already have” written by Explorium – it explains how senior data professionals can enable data science in their organizations with the resources they have available, how to use cutting-edge technology to make the

We see companies applying AI solutions differently, depending on their growth stage. Here are the challenges they face and the best practices at each stage. A growing number of companies are seeking to apply artificial intelligence (AI) solutions, whether they want to launch disruptive products or innovate the customer experience.

The most successful organizations have taken a very pragmatic approach to AI with use cases that solve nagging problems that could not be solved with traditional approaches. Let’s take a look at some of the use cases. AI is constantly evolving and, with every development, its value to businesses grows.

Many enterprise tech solutions either struggle or fail at the “last inch” between the user’s finger and their smartphone. Read about how AI-based smart messaging can retain users and enrich their experience. Even as enterprises have automated the back-end systems, a critical prerequisite for the success of process workflows is

As the world contends with the Covid-19 pandemic and its profound impact across regions and industries, companies are not only looking for ways to safeguard their people and customers but also their business’ long-term future – read how data & analytics can help your business deal with the crisis.  The

Many e-commerce companies are looking to leverage artificial intelligence (AI) to reach more customers, improve their products and boost their sales. The trend can already be seen in e-commerce websites that feature recommendation engines, chatbots and smart assistants. These types of AI technology adoptions are likely to continue. According to Gartner, 37% of