Although adoption of artificial intelligence (AI) and machine learning (ML) for the enterprise is still in the early days, the technology has matured enough for entrepreneurs to start gathering inspiration and evaluating opportunities for potential applications. Every day, processing capabilities for neural networks increase, as does accessibility to off-the-shelf APIs from big tech and academic institutions that help speed up innovation. Entrepreneurs have also learned the wisdom of targeting AI applications toward specific, well-defined business problems, rather than trying to sell generalized toolkits to business users or get bogged down in custom software consulting engagements that solve nonrepeatable use cases. There are more opportunities today for entrepreneurs to focus on solving vertical problems than creating horizontal solutions. It is in the ethos of established tech companies to build generic solutions for customers across industries.