IDC study says the worldwide revenues from big data and business analytics will hit USD 187 billion by 2019. Banking, discrete manufacturing, process manufacturing, central government, and professional services will be taking maximum advantage, says IDC.
IoT and AI will bring large and diverse data sets that will result in new challenges. Here’s how organizations can leverage these technologies to become data driven.
Data Lakes encourage schema-free entry of raw data into the stores, unlike traditional Data Warehouses. Thus they can contain structured, unstructured and semi-structured data in the same environment, setting stage for wonders of Machine Learning.
Visualization tools uncover several dimensions of data and presents a neat, simple, story-based explanation of insights, supplemented by high quality visualizations, by marrying the intellect of the human analyst with the raw computation power of analytics tools.
Inducing structure into unstructured data has direct benefits that impact user experience and customer engagement. Machine Learning is being used to crack some of the most difficult problems in this domain.
Here's an attempt to comprehend what this year holds, with respect to data, analytics, all things in between, and beyond: Full stack Data Scientists, Deep Learning, Augmented Analytics...