Articles

How big is really big?

Of all technologies that impact customer experience (CX), few have as immediate or obvious an effect as artificial intelligence (AI).

You can interpret data in multiple ways.

The idea of artificial beings is nothing new to human civilization.

Those who believe using a long password is all they need to keep their data secure have a lot to learn.

Over the past year, there have been a number of trends that have impacted digital transformation, including artificial intelligence (AI), big data, and robotic process automation (RPA), among many others.

Killer robots. Threatening humanoids. Robo-apocalypses and evil robots taking over the world. (Just kidding.)

Every business wants to increase their bottom line.

Brittany Kaiser, former Director of Business Development for Cambridge Analytica, stated in Netflix’s The Great Hack that data is now more valuable than oil.

What is parallel processing? Parallel processing is defined as an architecture where processes are split into separate parts and each part is run simultaneously. By running the processes on multiple processor cores instead of a single one, the time taken to execute tasks is much lower. The main goal of parallel computing is to ensure that complex tasks are broken into simpler steps for easier processing driving better performance and problem-solving capabilities.