Other than the resurgence of various Artificial Intelligence dimensions, the single most meaningful development in the big data space in the past several years is the burgeoning distribution of data assets.
Whereas once those assets were safely confined within the enterprise, the confluence of mobile technologies, the cloud, the Internet of Things, edge computing, containerization, social media, and big data itself has shifted the onus of data management to external, decentralized sources. The ramifications of this reality are manifold. Organizations can now get the diversity of data required for meaningful machine learning results.
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