Click to learn more about author Mehul Rajput. With the huge amount of online data available today, it comes as no surprise that “big data” is still a buzzword. As the name suggests, business owners around the world now have a high volume and variety of information at their fingertips. But big data is more […]
The Importance of Data Science and Analytics in the Finance Industry
Click to learn more about author John Russell. It is estimated that by the end of 2020, there were approximately 40 zettabytes (40 trillion gigabytes) of data in the world. If it feels a bit difficult to wrap your head around that number, don’t worry – you are not alone! It is a truly staggering […]
The AI Trends Reshaping Health Care
Click to learn more about author Ben Lorica. Applications of AI in health care present a number of challenges and considerations that differ substantially from other industries. Despite this, it has also been one of the leaders in putting AI to work, taking advantage of the cutting-edge technology to improve care. The numbers speak for […]
The Important Role of Cognitive Science in Marketing Data Creation
Click to learn more about author Dave Kelly. Human beings are imperfectly dynamic creatures shaped by experiences, biases, and cognitive processes, and this combination of behavior-shaping factors is unique from individual to individual and can even change from day to day. In the always-on digital world we live in, where competition for consumer attention is […]
A Look Inside the Modern Analytics Stack
Click here to learn more about Amit Levi. In the data-driven world we live in today, the field of analytics has become increasingly important to remain competitive in business. In fact, a study by McKinsey Global Institute shows that data-driven organizations are 23 times more likely to outperform competitors in customer acquisition and nine times […]
The Three Pillars of Trusted AI
Click to learn more about author Jett Oristaglio. As AI becomes ubiquitous across dozens of industries, the initial hype of new technology is beginning to be replaced by the challenge of building trustworthy AI systems. We’ve all heard the headlines: Amazon’s AI hiring scandal, IBM Watson’s $62 million failure in oncology, the now-infamous COMPAS recidivism […]
Best Practices for Supply Chain Analytics in the Post-COVID-19 Era
Click to learn more about author Ashok Sharma. There are few crises in world history that have affected the supply chain like COVID-19. The pandemic has caused unprecedented stress and brought an insane level of scrutiny. Business leaders need to think differently and take appropriate measures to streamline their supply chain operations, using data as their […]
Integrated Deployment: Continuous Deployment
Click to learn more about author Paolo Tamagnini. In this second article of our integrated deployment blog series – where we focus on solving the challenges around productionizing Data Science – we look at the model part of the process. In the previous article we covered a simple integrated deployment use case. We first looked at an existing […]
What Is Spearman’s Rank Correlation and How Is It Useful for Business Analysis?
Click to learn more about author Kartik Patel. This article describes the Spearman’s Rank Correlation and how it is used for enterprise analysis. What Is Spearman’s Rank Correlation? Correlation is a statistical measure that indicates the extent to which two variables fluctuate together. A positive correlation indicates the extent to which those variables increase or decrease […]
How to Ensure Your New Cloud Data Lake Is Secure
Click to learn more about author Brian Lachance. Enterprises migrating on-prem data environments to the cloud in pursuit of more robust, flexible, and integrated analytics and AI/ML capabilities are fueling a surge in cloud data lake implementations. The rationale is justified: Compared with legacy on-prem infrastructure, cloud data lakes – if implemented correctly – promise […]