The world has more data than ever before. In fact, it’s estimated that by 2020, we’ll produce 44 zettabytes every day. That’s equal to 44 trillion gigabytes. One gigabyte can hold the contents of enough books to cover a 30-foot-long shelf. Multiply that by 44 trillion. That’s a lot of data — too much for most companies to process. And yet front-line employees are still often left operating with data that’s “too little, too late.”
AI Can Comb Through Your Data to Create More Compelling Customer Experiences
Most organizations are challenged to extract meaningful insights from their customer data when they’re drowning in data. Data is not always shared efficiently within most organizations. Many of the world’s biggest companies operate in silos — for example, their customer service and sales departments do not share a customer relationship management (CRM) database, and employees don’t collaborate around the customer to ensure a powerful customer experience. Front-line employees are too often operating with data that’s “too little, too late.” And more often than not, employees in one department don’t even know the employees in other departments, let alone use data that spans the organization. This often results in wildly inconsistent customer experiences that make companies look disconnected and unfocused. Machine learning is increasingly being used to help organizations overcome this limitation, creating better, more personalized customer experiences, and more loyal customers.