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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Leveraging data where it lies.

Analytics 111
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What is a Data Pipeline?

Jet Global

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

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And the winners are…. Congratulations to the Sixth Annual Data Impact Awards winners

Cloudera

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Enterprise Machine Learning: . Technical Impact.

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Smart manufacturing technology is transforming mass production

IBM Big Data Hub

artificial intelligence (AI) applications, the Internet of Things (IoT), robotics and augmented reality, among others) to optimize enterprise resource planning (ERP), making companies more agile and adaptable. What’s the biggest challenge manufacturers face right now?

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How to build a successful hybrid cloud strategy

IBM Big Data Hub

Weave in robust security The IT industry has traditionally relied mainly on perimeter security strategies like firewalls to protect valuable resources, such as user data and intellectual property. Organizations need to implement a zero-trust framework where data must also be encrypted to ensure only valid users can access it.

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How data from IoT devices is changing supply chain analytics

CIO Business Intelligence

That is changing with the introduction of inexpensive IoT-based data loggers that can be attached to shipments. Traditional supply chain analytics and decision-making focused on risk avoidance and control. The more data you have, the more costs you save. The future of the supply chain is IoT-driven.

IoT 104