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Everstream, which applies big data to supply chain management, raises $50M

TechCrunch

Gerdeman claims that what helped Everstream stay ahead of the competition was its “big data” approach. The platform combines data based on supply chain interactions with AI and analytics to generate strategic risk scores, assessed at the material, supplier and facility location level.

Big Data 227
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Armed with $19.5M, LiveEO plots a big data course between satellite geospatial information and industry

TechCrunch

million) on the back of strong demand for its tech from companies working in transportation and energy infrastructure. As with the larger opportunity in enterprise IT, big data players like LiveEO are essentially the second wave of that development: applications built leveraging that infrastructure.

Big Data 228
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Cybersecurity: A Big Data Problem

Cloudera

Information technology has been at the heart of governments around the world, enabling them to deliver vital citizen services, such as healthcare, transportation, employment, and national security. All of these functions rest on technology and share a valuable commodity: data. . Cybersecurity is a big data problem.

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Baldor’s first-ever CIO sets the transformation agenda

CIO

These planning tools are constantly transforming at the cutting edge using high performance computing, big data capabilities, and sophisticated intelligence,” Prouty notes. Digital Transformation, IT Leadership, Transportation and Logistics Industry That is all applied to optimizing routes and delivery capabilities.”

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Hire Big Data Engineer: Salaries, Stack and Roles

Mobilunity

Big Data is a collection of data that is large in volume but still growing exponentially over time. It is so large in size and complexity that no traditional data management tools can store or manage it effectively. While Big Data has come far, its use is still growing and being explored.

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Core technologies and tools for AI, big data, and cloud computing

O'Reilly Media - Ideas

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Machine learning and AI require data—specifically, labeled data for training models.

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The Tip of the Spear II: Connecting Big Data Project Management with Enterprise Data Strategy

CTOvision

“If data analysis is Big Data’s "tip of the spear" when it comes to delivering data-dependent value to customers or clients, we also must address how that spear is shaped, sharpened, aimed, and thrown – and, of course, whether or not it hits its intended target.”. Data sharing. Data standards. Introduction.