Big Data Newsletter August 17 2017

Feature article

4 data extraction tactics to take your SEO to the next level

Data extraction has powerful uses in a number of industries. Some notable use cases are equity research, marketplace inventorycompetitor price monitoring, lead generation, and reputation monitoring.

In this post, we’re going to dive into how you can use data extraction to gain traffic from Google. Or in other words, how you can use data extraction to take your SEO to the next level.

Read the article.

You don’t need to be an expert to integrate AI in your startup

We’re collecting billions of metrics every data from hundreds of thousands of systems, all of which can be used to understand patterns and make future predictions. Read on for some easy, actionable advice on how to get started from scratch with machine learning — it’s easier than you think!
Read the story on NextWeb.

The AI Hierarchy of Needs

More often than not, companies are not ready for AI. The most common scenario is that they have not yet built the infrastructure to implement (and reap the benefits of) the most basic data science algorithms and operations, much less machine learning.
Read the article by Monica Rogati on Hackernoon.

A Developer’s Guide to Launching a Machine Learning Startup

While artificial intelligence (AI), machine learning and deep learning are often thought of as being interchangeable, they do in fact relate to very different concepts.
Read the article on InsideBIGDATA.

Drawing on big data for customer insights

The overall trend for retail sales volume is up, despite considerable disruption to the channels consumers use to make purchases. Big data analytics are helping retailers of all sizes retain customers and win new business.
Read the article on Marlin Finance.

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