Although it may sound blunt, the truth is that several organizations have no idea about how to implement AI correctly. Unlike what many business executives may believe, AI is not just about the automation of business processes. Enterprise AI implementation must be made with long-term data-driven strategies in mind. To ingrain the technology within the fabric of your business, you'll need to clearly explore how your business and AI can align perfectly to maximize its potential for widening your ROI, revenue generation, growth and diversification. For that purpose, understanding the symbiotic relationship between AI and your enterprise is vital.

Sign in to report inappropriate content. Learn from Traci Gusher, KPMG, what an artificial intelligence-driven enterprise means today. Hear the data behind the theory that the current wave of AI will peak inside the AI-driven enterprise in four waves: internet, perception, autonomous, and business. However, it won't be a monumental technology revolution, but rather a monumental revolution of people.

Around two decades ago, marketing existed as a soft function within organizations. There is no denying its importance, of course, but from an organizational perspective, it was a function hard to measure in terms of impact on the bottom-line. But then boomed the digital age, and with it, an advent of channels that came to be known as social media. And in its wake, followed big data – a subject that requires little explanation. In simple terms, marketing is now being increasingly treated as a hard science that does indeed impact the bottom-line.