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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

One of the primary drivers for the phenomenal growth in dynamic real-time data analytics today and in the coming decade is the Internet of Things (IoT) and its sibling the Industrial IoT (IIoT). One group has declared , “IoT companies will dominate the 2020s: Prepare your resume!” trillion by 2030. trillion by 2030.”.

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3 Compelling Ways IoT is Changing the Solar Industry

Smart Data Collective

Many industries are helping drive growth for the IoT. More solar manufacturers are turning to the IoT to get the most output for their customers. This is why there is a need for expanding IoT applications in the power sector. billion in 2019 and is growing rapidly. One of the most significant is the solar energy sector.

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

In the long run, we see a steep increase in the proliferation of all types of data due to IoT which will pose both challenges and opportunities. A properly set framework will ensure quality, timeliness, scalability, consistency, and industrialization in measuring and driving the return on investment.

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The DataOps Vendor Landscape, 2021

DataKitchen

DataOps requires that teams measure their analytic processes in order to see how they are improving over time. Acquired by DataRobot June 2019). Hitachi Vantara – Digital operations, infrastructure solutions, IOT applications, data management, and multi-cloud acceleration. Azure DevOps. AWS Code Deploy. AWS Code Pipeline.

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A 5D model to assess your IoT readiness

Cloudera

The number one challenge that enterprises struggle with their IoT implementation is not being able to measure if they are successful or not with it. Most of the enterprises start an IoT initiative without assessing their potential prior hand to be able to complete it. These metrics can help you with measuring those.

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How to transition from brownfield SCADA to greenfield IoT

3AG Systems

In recent posts, we’ve talked much about supervisory control and data acquisition (SCADA ) systems, which are used to control and measure the performance of equipment in many kinds of industrial operations. In a 2019 study from the US Government Accountability Office, 80% of the $90 billion IT budget for. Read More

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Digital mining for sustainability in a low-carbon economy

CIO Business Intelligence

Furthermore, measuring and monitoring ESG performance required consolidating data from various instruments and functions in diverse locations. The Internet of Things (IoT) – sensors and other technologies attached to objects – advanced analytics, and machine learning (ML) would all be applied to capture data.