Sat.Oct 14, 2017 - Fri.Oct 20, 2017

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All Systems Go

Zalando Engineering

Zalando Flies the Fashion Flag at RecSys 2017 RecSys, the annual ACM Recommender Systems Conference held its 11th session this year in the gorgeous city of Como, Italy. As part of our platform strategy, it’s vital that we fully engage with the wider tech community, and so we brought a full team to soak up the great learnings and bring some of our own.

Systems 40
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Internet of Things in Healthcare – Three Examples of How IoT is Ushering in Advanced Healthcare

Cloudera

Most of us have seen the news stories and forecasts about the Internet of Things (IoT) and what a vast market and field of opportunity it will be. Hundreds of the world’s largest enterprises now use IoT in ways so innovative, they’re disrupting their own industries. What they’ve found is that by intelligently deploying IoT solutions, they’re able to drive operational efficiencies, introduce new products and services, improve the customer experience and create wholly new business models.

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A Plea For Small Pull Requests

Zalando Engineering

Pull Requests (PRs) are the norm today when it comes to common software development practices in teams. It is the right way to submit code changes so that your peers can check them out, add in their thoughts and help you create the best code you can - i.e. PRs allow us to easily introduce code review to our development process and enable a great deal of teamwork, while also decreasing the number of bugs our software contains.

Coding 40
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Deep Learning in Cloudera

Cloudera

Deep learning is in the news. It’s changing the game. It’s changing your life. It’s changing everything. It will change the world. It’s good to see people excited about technology. But deep learning is a tool that enterprises use to solve practical problems. Nothing more, and nothing less. In this blog, we provide a few examples that show how organizations put deep learning to work.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.