Big Data 2018: 4 Reasons To Be Excited, 4 Reasons To Be Worried EE Times

As both projections and expectations for big data accelerate, enterprise data groups find themselves working in a rapidly evolving arena both encouraging in its possibilities and vexing in its limitations. In 2018, big data will continue along both lines -- offering more options with greater accessibility while frustrating enterprises looking for all-encompassing answers to complex questions. Excited: Machine-learning methods become more accessible The emergence of production-ready machine-learning tools and models continue to be a reason to be excited about big data in 2018. Machine-learning models can accurately perform recognition of specific patterns in data streams. In environments already inundated with data, this capability provides high value and distinct advantages, and the industry has responded accordingly.