The purpose of this white paper is to demonstrate how TrendMiner can help accomplish these goals. By the end of the paper, water and wastewater experts will see how the advanced self-service data analytics platform empowers engineers and manufacturing process experts to resolve challenges without the help of a data scientist.
Watch this webinar on demand and discover how the data captured in your PI System can be leveraged for day-to-day, data-driven decision making when it’s combined with self-service analytics capabilities.
Discover how how process engineers and other operational experts can do more with their data themselves, without the need for data scientists.
Discover how how process engineers and other operational experts can do more with their data themselves, without the need for data scientists.
Discover how how process engineers and other operational experts can do more with their data themselves, without the need for data scientists.
Download the latest Technology Report from Smart Industry and discover how to properly analyze your data to turn 1’s and 0’s into $’s.
In this webinar, hosted by Indian Chemical News, Ruchika Tawani, TrendMiner Data Analytics Engineer discusses how process engineers and other operational experts can do more with their data themselves, without the need for data scientists. You’ll see practical use cases that will help you better understand why democratization of analytics can accelerate reaching your organizational goals such as reducing downtime, increasing yield, control quality, improve asset reliability and increase overall profitability.
Discover how how process engineers and other operational experts can do more with their data themselves, without the need for data scientists.
Discover how self-service industrial analytics is used to accelerate energy transition goals in this presentation from TrendMiner 2021 Oil & Gas Event.
Low-code and No-code AI & Analytics Solutions Yield High-Value Use Industrial Use Cases13 September 2024 - 15:19
Building a Foundation for AI & Analytics with an Industrial Data Fabric30 August 2024 - 23:12
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