Machine learning, AI, and the next wave of legacy systems

Machine learning and AI are the evolution of what was considered revolutionary just a few years ago: gathering and making sense of large, previously silo-bound data volumes. During the first wave of the Big Data era, companies were just getting a handle on the distribution, variety, and monetary potential of their many silos. The focus at the time was on integration and recognition--the simple understanding of what data resided where, and what parts of the organization were accountable for it. This was no small challenge, and it's still happening in companies with large, distributed infrastructures and global teams. That first wave led to a new host of tools, including Hadoop, predictive analytics, and all the many innovations up and down the stack designed to integrate, centralize, process, store, and analyze Big Data.