Integrating IoT Analytics for a Smarter Future

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.

Predictive Maintenance In-depth Guide: Industry Usecases, Benefits

Are you working for an industrial company that is discarding most of its data? Are you wondering whether that data is valuable? We can help you decide.

Advanced equipment such as Internet of things (IOT) and Industrial Internet of things (IIOT) and robots are generating more data than ever before. However factories’ analytics capabilities have not caught up to this. According to Fero Labs  manufacturing companies discard 98% of all the data they can collect because they do not have the operational analytics capabilities to integrate that data in their operations. Read more

Alphabet’s AI Investments in 38 Companies: In-depth Analysis

As Alphabet’s executive chairman Eric Schmidt summarizes, having worked through the AI winter he was not optimistic about the potential of AI in the early 2000s. However after hiring leading AI researchers including Andrew Ng and acquiring Deepmind in 2014 Google is currently one of the leaders in the field of AI.

For a refresher on what Alphabet does: Alphabet is a conglomerate including Google which mainly consists of search, maps, YouTube, Chrome, Cloud, AdWords, AdSense and the Android mobile phone platform. Read more