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Quantum Discoveries and Composable Analytics

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Businesses that harvest Big Data to solve previously impossible challenges have emerged as leaders in a highly
competitive and evolving global economy. Over the past few years, the amount of data generated by consumers and
sensors has exploded. Harnessing the right insights from this data generates enormous competitive advantage. Most
data-driven analysis to date has capitalized on the sheer volume of data, the opportunity today is in joining disparate
data sets from a variety of sources, to generate actionable insights and additional value.
Analytics on truly Big Data, data sets that are great in volume and great variety and generated at high velocity, is
challenging, as the data environment is extremely chaotic. There’s no “one size fits all” concept in Big Data, as data
is stored in a variety of formats, with different underlying data store, analysis and visualization technologies. When
needs arise for cross-cutting analysis or for analytical methods not supplied by any one individual system, the overall
analytical process is severely limited. Organizations that successfully overcome this “variety challenge,” are positioned
to be game-changers. Much like the blending of data sources to generate new value, the blending of expertise through
partnerships and collaborations to execute on new use cases, appears to be the most effective approach.
One such collaboration taking shape is between an early-stage advanced data science startup out of MIT with a new
mineral discovery company, Quantum Discoveries (formerly QPX). The goal is extremely ambitious: discover world
class mineral deposits by fusing domain experts (e.g., geoscientists) with machines (e.g., Artificial Intelligence) through
a disciplined, data-driven, decision making platform to significantly improve the rate of success to find large mineral
deposits.

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