Exploring Analytics & AI in 2020: A Detailed Primer

It is often said that data is the most valuable asset a business can have; the oil of a digital era. But data itself, while interesting, often leaves out a variety of important details – creating a need for analytics. And how we complete these analytics has evolved – and will continue to do so; particularly with the rapid proliferation of AI tools and technologies.

What is analytics? [Separate article]

What are the benefits of analytics?

Data analytics allows companies to institute data-driven decision making which allows companies to minimize bias and gut feel while making both important corporate decisions and making fast operational decisions. For example; with Data Analytics, a business can classify customers according to patterns found in data to understand their customers’ perspective. Read more

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IoT Analytics in 2020: An In-depth Guide

By 2020, it is expected that there will be between 20 and 30 million IoT units in the marketplace, according to a study conducted by Gartner. With this much data being collected, the need for a way to analyze it grows exponentially. Many of the enterprise applications for IoT analytics, such as in manufacturing, finance, telecom, healthcare, and others have unlimited potential when data is managed and analyzed correctly.

To meet this need, IoT analytics has emerged as the broader category of uses and applications designed to help analyze the data obtained by IoT sensors. Once this data has been properly analyzed it can then be used to help make better, data-driven decisions for organizations that are in search of a competitive edge.

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Implement Predictive Maintenance in 90 days: Mario Montag explains Predikto’s fast, automated approach

We had a candid session with Mario Montag, CEO and Co-Founder at Predikto, discussing their primary areas of focus, how they can offer superior results compared to custom solutions, challenges of data integration, why predictive maintenance is crucial for big industrials, transportation and logistics companies. Below you can find our podcast edited for clarity and brevity. To have a background on predictive maintenance before diving into details, you can read our article on predictive maintenance. Read more

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