Global Big Data Conference

If you've found yourself thinking, "There's an AI-powered solution for everything these days," you're not far off. Today, more than 37% of organizations have implemented artificial intelligence (AI) in some form, and it is estimated that by 2021, 80% of emerging technologies will have AI foundations. When successfully executed, AI is a powerful tool for businesses and consumers alike. It can help businesses scale faster by automating time-consuming processes, create deeper connections with customers through hyper-personalized interactions, make smarter business decisions with access to real-time data from across an organization, plus so much more. But time and time again, we read about promising AI-powered startups coming up short, shutting down their businesses because they've failed to build meaningful AI solutions for the problems they hoped to solve. After 10-plus years of leveraging AI, machine learning and natural language processing to build and grow successful AI-powered platforms, I've identified three key areas where most startups and businesses go wrong when building AI-powered platforms.