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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Winkenbach said that his data showed that “deliveries in big cities are almost always improved by creating multi-tiered systems with smaller distribution centers spread out in several neighborhoods, or simply pre-designated parking spots in garages or lots where smaller vehicles can take packages the rest of the way.”

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Quantitative and Qualitative Data: A Vital Combination

Sisense

Despite its many uses, quantitative data presents two main challenges for a data-driven organization. First, data isn’t created in a uniform, consistent format. It’s generated by a host of sources in different ways. You have to be able to work with both kinds of data in order to unlock the most comprehensive insights.

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

Cloudera

Toshiba Memory’s ability to apply machine learning on petabytes of sensor and apparatus data enabled detection of small defects and inspection of all products instead of a sampling inspection. Voya Financial prevented millions of dollars of fraudulent transactions by deploying predictive analytic capabilities on Cloudera.

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Buy Your Embedded Analytics and Empower Your End-Users With the Right Data

Jet Global

Market Drivers and Current Trends Organizations are increasing focus on the potential value within big data, seeking to better understand their customers and improve their products. The challenge is collecting all that data into one place and making it understandable.

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Big Data Analytics Is The 21st Century’s Biggest Disruptor In Healthcare

Smart Data Collective

The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. Big Data is Carrying Massive Changes for Healthcare Organizations.

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How to choose the best AI platform

IBM Big Data Hub

Will it be implemented on-premises or hosted using a cloud platform? Key AI solutions that directly address these challenges include the following: Predictive Maintenance: AI helps manufacturers detect equipment issues through sensor data, enabling proactive maintenance and cost savings.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. where performance and data quality is imperative? I didn’t mean to imply this.