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How AI is Propelling the Supply Chain Industry Forward

Dataiku

In a 2016 survey of supply chain and manufacturing companies by Deloitte and supply chain association MHI, only 17% of companies were using predictive analytics. However, that number is anticipated to reach 79% by 2021.

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Big Data: The Technology Behind Retailers Success

Smart Data Collective

Such predictive analytics can help to define what products will spike the biggest interest of the audience. With predictive analytics and real-time information about products, retailers can avoid supply shortages, optimise the storage facility so that most popular items are easy to reach, etc. Setting the optimal prices.

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Here’s How Big Data And Business Card Marketing Go Together

Smart Data Collective

Data Floq made this point clear in a post they made in 2016. Using predictive analytics to continually update business cards. Predictive analytics is one of the most useful advances in big data. Predictive analytics technology can be particularly useful in developing new business cards.

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

7) Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die by Eric Siegel. Best for: someone who has heard a lot of buzz about predictive analytics, but doesn’t have a firm grasp on the subject. It was lately revised and updated in January 2016.

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Big Data Offers New Solutions for Disaster Mitigation Planning

Smart Data Collective

In 2016, cyber-attacks cost the United States economy between $57 billion and $109 billion. There are several ways that predictive analytics is helping organizations prepare for these challenges: Predictive analytics models are helping organizations develop risk scoring algorithms.

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The Evolving Role Of Big Data In Accident Cost Containment

Smart Data Collective

between 2016 and 2017. New predictive analytics and machine learning technology should address these concerns. Accident data provides insight and valuable information that can be used to help improve safety in the future. The reporting of accidents is crucial in maintaining the collection of this data. increased by 5.3%

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

Reductions in the cost of compute and storage, with efficient appliance based architectures, presented options for understanding more deeply what was actually happening on the network historically, as the first phase of telecom network analytics took shape. First, AI was on the rise, and demanding consistent, large data sets.