Exploring Analytics & AI in 2018: 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.

Some benefits associated with AI and analytics include:

  • Increased productivity via instant access to the right data through better classification processes
  • Improved speed, accuracy, and efficiency throughout analytics and data management practices
  • Facilitating clear compliance with legal and similar requirements
  • Cost saving by finding the best ways to achieve a wide range of tasks

To better understand data, analytics, AI, and how they all go together, we will answer the following questions: Read more

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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.

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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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