Blueprint: The (Near) Future of Enterprise Apps, Analytics, Big Data and The Cloud

Grazed from Converge. Author: Derek Collison.

In 2016, technical innovation, combined with evolutionary trends, will bring rapid organizational changes and new competitive advantages to enterprises capable of adopting new technologies. Not surprisingly, however, the same dynamics will mean competitive risk for organizations that have not positioned themselves to easily absorb (and profit from) new technological changes. The following predictions touch on some of the areas in IT that I think will see the biggest evolutions in 2016 and beyond.

1. Hadoop: old news in 24 months. Within the next two years, no one will be talking about big data and Apache Hadoop—at least, not as we think of the technology today. Machine Learning and AI will become so good and so fast that it will be possible to extract patterns, perform real-time predictions, and gain insight around causation and correlation without human intervention to model or prepare raw data…

In order to function effectively, automated analytics typically need to be embedded in other systems that bring forth data. Next-generation AI-enabled machine learning systems (aka “big data,” even though this term will soon fade away), will be able to automatically assemble and deliver financial, marketing, scientific and other insights to managers, researchers, executive decision makers and consumers—giving them new levels of competitive advantage…

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