Adapting Data for the Rise of Artificial Intelligence in Business

The pace of technology-driven change is accelerating for enterprises all around the world. While the idea of artificial intelligence (AI) has been around for nearly 70 years, it wasn't until 2017 that we found 72 percent of business leaders believed AI to be a competitive advantage in the future (if not already), according to a recent PwC AI survey. In response, it's critical for companies to iteratively shift paradigms from legacy approaches to better compete in the age of digital transformation. Evolving software algorithms, capable of performing tasks typically requiring human intelligence, are fueling a wave of advancements in visual perception, speech recognition, decision-making, language translation, robotics and autonomous vehicle capability. Though AI is the catchphrase for numerous subfields, machine learning and deep learning are garnering the most attention as they teach themselves to learn, reason, plan and ultimately become more intelligent when exposed to bigger, more refined data sets and a standard predictive analytics model.