Articles

Is sensitive customer data an asset or a liability? When we think about the most successful companies in recent years that have leveraged customer data to build competitive advantages—such as the FAANG companies (Facebook, Amazon, Apple, Netflix, and Google)—we think of customer data as an asset. 

You know the cycles of the moon and the cycle your emotions go through when watching re-runs of Grey's Anatomy. But what about the intricate cycle that governs successful projects?

The history of artificial intelligence may feel like a dense and impenetrable subject for people who aren’t well-versed in computer science and its subsets. 

The news has been inundated with stories about brick and mortar stores closing at an astounding rate. 

Imagine a world where your business anticipates market trends before they emerge; healthcare predicts diseases before symptoms, and your personalized assistant handles your daily schedule.

Collaboration software was already a hot topic, then the COVID-19 outbreak happened.

Artificial intelligence and machine learning are trending terms in the tech sphere that are often – and incorrectly – used interchangeably.

Have you ever thought “Wow, they get me,” when interacting with a brand? It could be as simple as Netflix recommending the perfect show to binge, or Amazon suggesting a product that complements what’s already in your cart. We now expect these personalized experiences from brands. However, with more content, brands, and purchasing channels out there, it becomes difficult to personalize at scale. Enter the customer data platform (CDP). 

These days, nearly everything can be done online. From accounting to HR, these days anyone with an internet connection can work for a company halfway across the world.

There’s no “I” in “technology.”