4 Ways AI Will Power Predictive, Real-Time Analytics

The estimated $70 billion television ad market is headed online, where millions of viewers stream, search, post and consume. This migration presents a golden opportunity to understand consumer preferences at unprecedented levels, enabling media and marketing professionals to improve targeting efficiency and ultimate success by anticipating behavior and delivering on that insight. Opportunity is there, if decision-makers can navigate the glut of data: video data alone represents 70% of all today's global online traffic and storage. Fortunately, in 2017 we'll see a new wave of artificial intelligence (AI) tools to meet this tide of data, enabling professionals to comb through and glean near-instantaneous insights, create customized compelling content, facilitate new advertisement and viewership models, and improve the real-time news and content marketing landscape. The growing affordability, accessibility, deep analytical capabilities and cognitive learning functionality of AI give media professionals new ways to: Analyze content through machine-based learning.