BI can help you start making sense of your data, but it still expects you to do the heavy lifting when it comes to finding insights. Building predictive models that can cut down your decision time and offer better insights is a must, but achieving them sounds impossible.  So, why

In the cybersecurity war between organizations and adversaries, we too often convince ourselves that we are pitting “technology versus technology.” But, actually, the battle is about people versus people.  Technology alone cannot hunt, identify, assess and defeat attacks, because it lacks human-supplied authentic intelligence. With this intelligence, people and machines

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

Data scientists are constantly challenged with improving their ML models. But when a new algorithm won’t improve your AUC there’s only one place to look: DATA. This guide walks you through six easy steps for data acquisition, a complete checklist for data provider due diligence, and data provider tests to

In 2020, companies face an operational environment that is unlike any seen before. Rapid globalization has created fierce competition, and digitalization is driving innovation in every direction. As a result, firms that fall behind are going out of business, and more than half of all Fortune 500 companies have left