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Advanced Process Control Smart Manufacturing Conference 2021 in Review
Advanced Process Control Smart Manufacturing Conference 2021 in Review

PHYSICS, MACHINES AND DATA Advanced Process Control Smart Manufacturing Conference 2021 in Review OCTOBER 19, 2021  Author: Ryan Stoddard, Data Science Manager  Category: Thought Leadership Last week I attended the APCSM 2021 virtual conference where thought leaders came together to share how Artificial Intelligence and Machine Learning are helping to meet current challenges in the […]

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How Tignis Digital Twins Power The Future Of AI-Based Process Control
How Tignis Digital Twins Power The Future Of AI-Based Process Control

Tignis is leading the charge to optimize industrial operations with Artificial Intelligence and Machine Learning.

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Tignis Announces Commercial Release of PAICe Product Suite
  HIGHLIGHTS
Tignis News
Tignis Announces Commercial Release of PAICe Product Suite
Technology Innovator Tignis Launches New AI and Machine Learning Tool Suite for Manufacturing and Process Control that Puts the Power of Machine Learning in the Hands of Non-Data Scientists
PAICe Builder Use Case: Predictive Rod Pump Analytics Improve Efficiency, Oil Production, and Revenue
PAICe Builder Use Case: Predictive Rod Pump Analytics Improve Efficiency, Oil Production, and Revenue
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Tignis Appoints Mario Faria as Director, Semiconductor Solutions

tignis-admin Aug 11, 2022

Tignis and M Ventures/Merck, KGaA, Darmstadt, Germany Announce Series A Funding Focused on Sustainability in Semiconductor Manufacturing

Alex Hoisington Jul 07, 2022
Tignis Series A Funding

Tignis Announces Series A Funding

tignis-admin May 12, 2022
Semicondutor

Challenges of Time Series Data in Semiconductor

Sydney Provence Mar 11, 2022

What is DTQL??

Alex Hoisington Nov 29, 2021

Advanced Process Control Smart Manufacturing Conference 2021 in Review

Alex Hoisington Oct 19, 2021

How Tignis Digital Twins Power The Future Of AI-Based Process Control

Alex Hoisington Sep 28, 2021

PAICe Builder Use Case: Predictive Rod Pump Analytics Improve Efficiency, Oil Production, and Revenue

Alex Hoisington Sep 21, 2021

Employee Spotlight: DTech Summer Interns 2021

tignis-admin Aug 17, 2021

Tignis Announces Commercial Release of PAICe Product Suite

tignis-admin Aug 05, 2021

Tignis Announce $1M Investment by BMNT

tignis-admin Aug 05, 2021

Employee Spotlight: Eric Holzer

tignis-admin Jun 16, 2021

It Takes a Triad of Skill Sets to Solve Real Industrial Problems with Analytics

tignis-admin May 26, 2021

The State of Semiconductors

tignis-admin Apr 20, 2021

Intro to AI-PC: The Next Level of Process Control

tignis-admin Mar 16, 2021

Why Tignis Engineers Love Our Applications and Why You Should Try Them

tignis-admin Feb 25, 2021

Why Tignis Is Proudly SOC 2 Type II Certified

tignis-admin Jan 22, 2021

The Journey of a Data Scientist: Chemical Engineering Meets Data Science

tignis-admin Dec 03, 2020

AI for Industrial and Manufacturing Use Cases: Remember That Machine Learning Is Never Done

tignis-admin Nov 10, 2020

Tignis TV: Harel Kodesh Interview

tignis-admin Oct 22, 2020

Move Beyond Asset Reliability to System Reliability

tignis-admin Oct 06, 2020

News Roundup: Physics, Machines and Data- September 2020

tignis-admin Sep 28, 2020

So Many Risks and Faults at Stake

tignis-admin Sep 16, 2020

Risk and Fault Detection Strategies

tignis-admin Sep 08, 2020

News Roundup: Physics, Machines and Data – August 2020

tignis-admin Sep 01, 2020

Tignis TV: Jason McColly Interview

tignis-admin Aug 25, 2020

News Roundup: Physics, Machines and Data – July 2020

tignis-admin Aug 11, 2020

Duke Technology Scholars Program – Tignis Q&A with Intern Micaelle (Mimi) Larrieux

tignis-admin Aug 04, 2020

Tignis Sponsors University of Washington Industry Capstone Program

tignis-admin Jul 21, 2020

The Journey of a Data Scientist: Chiller Surge Counts

tignis-admin Jul 14, 2020

News Roundup: Physics, Machines and Data – June 2020

tignis-admin Jun 30, 2020

Reliability: Prepare Your Plant for a Machine Learning Future–Start Saving Your Failure Data!

tignis-admin Jun 23, 2020

Tignis TV: Ahmik Hindman Interview

tignis-admin Jun 16, 2020

Mechanical Systems Condition Monitoring: The Intersection of Machine Learning and Real-World Experience

tignis-admin Jun 09, 2020

Tignis TV: Steve Allbee Interview

tignis-admin Jun 04, 2020

News Roundup: Physics, Machines and Data – May 2020

tignis-admin Jun 02, 2020

Optimizing Reliability: Step 3 – Focus on Root Cause Analysis by Eliminating False Positives

tignis-admin May 26, 2020

Optimizing Reliability: Step 2 – Calculate Sensor Failure Points

tignis-admin May 19, 2020

Optimizing Reliability: Step 1 – Sensors: Do More With Less

tignis-admin May 12, 2020

News Roundup: Physics, Machines and Data – April 2020

tignis-admin May 05, 2020

Working Smarter: What It Means for Industrial Plants

tignis-admin Apr 28, 2020

3 Steps to Optimizing System Reliability

tignis-admin Apr 14, 2020

Use Your Data to Get Results—Not Just to Have It Around

tignis-admin Apr 07, 2020

COVID-19 and the Necessity of Remote Plant Management

tignis-admin Mar 31, 2020

Human Outcomes: Monitoring Solutions that Help People, Not Just Systems

tignis-admin Mar 25, 2020

The 3 Essentials of Impactful Systems Analysis

tignis-admin Mar 12, 2020

What’s a Digital Twin, and Why Do You Need One?

tignis-admin Mar 12, 2020

Optimize Your Mechanical Systems for Transformational Outcomes

tignis-admin Mar 10, 2020