---
title: "Webinar: How to Use Predictive Analytics to Optimize Polymer Dosing"
description: Learn how AI technology optimizes wastewater treatment processes like sludge dewatering to reduce waste, cut costs, and ensure regulatory compliance.
image: https://info.processminer.com/hubfs/Video%20Thumbnail.jpg
---

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# On-Demand Webinar: How to Use Predictive Analytics to Optimize Wastewater Treatment

Join this discussion with ProcessMiner's CEO Karim Pourak to discover how AI technology can optimize processes like sludge dewatering to reduce waste, improve efficiency, and ensure compliance with regulatory requirements. 

## What to Expect

ProcessMiner's CEO explains the challenges and solutions for wastewater treatment plants, highlighting the benefits of smart technology such as: 

![Video Thumbnail](https://info.processminer.com/hs-fs/hubfs/Video%20Thumbnail.jpg?width=1342&height=1065&name=Video%20Thumbnail.jpg "Video Thumbnail")

Optimized sludge dewatering

 Decreased operational and chemical costs 

 Improved regulatory compliance 

 Reduced need for skilled labor

## Learn More

### Our white paper lays out clear solutions to your top challenges and a smarter approach to wastewater management. Start making impactful changes now.

![Screenshot 2024-03-07 at 1.56.28 PM](https://info.processminer.com/hubfs/Screenshot%202024-03-07%20at%201.56.28%20PM.png "Screenshot 2024-03-07 at 1.56.28 PM")

## About ProcessMiner

ProcessMiner delivers quantifiable improvements in efficiency and productivity for continuous manufacturers. Our AI and proprietary algorithms continuously evaluate production processes and automate real-time adjustments to key control elements. This results in improved quality and productivity while reducing consumption of both raw materials and energy, ultimately reducing production cost and contributing to meeting organizational sustainability goals. Visit our website to explore our modern wastewater treatment solutions.

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ProcessMiner enhances efficiency and productivity for continuous manufacturers by using AI and proprietary algorithms to optimize production processes. This leads to better quality, higher productivity, and reduced waste and energy use, supporting sustainability goals.

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