Sat.May 27, 2017 - Fri.Jun 02, 2017

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Smart Data Visualization and Data Discovery Tools Empower Business Users

Smarten

Complex BI tools are not suitable for the self-serve environment. These tools are meant only for programmers and data scientists. To empower business users and allow them to achieve goals and contribute to the bottom line, you provide advanced analytics and smart data visualization tools in an easy-to-use environment that encourages user adoption and report and data sharing.

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Exploring and visualising reef life survey data

Data Science and Beyond

Last year, I wrote about the Reef Life Survey (RLS) project and my experience with offline data collection on the Great Barrier Reef. I found that using auto-generated flashcards with an increasing level of difficulty is a good way to memorise marine species. Since publishing that post, I have improved the flashcards and built a tool for exploring the aggregate survey data.

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Exploring LSTMs

Edwin Chen

LSTMs are behind a lot of the amazing achievements deep learning has made in the past few years, and they're a fairly simple extension to neural networks under the right view. So I'll try to present them as intuitively as possible – in such a way that you could have discovered them yourself. But first, a picture: Aren't LSTMs beautiful? Let's go. (Note: if you're already familiar with neural networks and LSTMs, skip to the middle – the first half of this post is a tutorial.).

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Re-Visualizing Business Intelligence, now let’s chat!

Smarten

Since it is the prerogative of a consultant to question and modify predominant jargon, I am hatting (yes, this too is an English word) …I am hatting myself in the hat of a consultant this morning, and I am questioning the application of the term “ Business Intelligence.” As a professional in the Industry for long, I have seen this word being used innovatively to describe Cognos, Business Objects, QlikView and Power BI.

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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.