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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.

Big Data 104
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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.

Big Data 101
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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.

Big Data 145
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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

I probably developed my first object-centric event log back in 2016 and used it for an industrial customer. Note from the author: Although object-centric process mining was introduced by Wil M.P. I did not call it object-centric but dynamic data model.

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Announcing the Winners of ‘The NFL Fantasy Football’ Data Challenge

Ocean Protocol

AI / ML offers tools to give a competitive edge in predictive analytics, business intelligence, and performance metrics. In the link above, you will find great detail in data visualization, script explanation, use of neural networks, and several different iterations of predictive analytics for each category of NFL player.

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How to tackle lack of data: an overview on transfer learning

Data Science Blog

Presumably due to this fact, Andrew Ng, in his presentation in NeurIPS 2016, gave a rough and abstract predictions of how transfer learning in machine learning would make commercial success like white lines in the figure below.

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Exploring IBM Watson Studio Part 1

DataRobot Blog

IBM Watson Studio has come a long way since I first tested IBM Data Science Experience in November 2016. by Jen Underwood. The new Watson Studio delivers a more collaborative, enterprise quality data. Read More.