This event covers digital transformation/digitalization for the power and chemical process industries, an ideal fit for Seeq’s vision of accelerating insights on process manufacturing digital data.

SEATTLE, February 25, 2020 – Seeq Corporation will be exhibiting at booth number 107 at the Connected Plant Conference (http://www.connectedplantconference.com/) to be held at the Westin Peachtree Plaza Hotel in Atlanta from February 25-27, 2020. Seeq is scheduled for two presentations:

Digital Showcase - Building Blocks of a Connected Plant | Optimization/Analytics

Tuesday, February 25th | 4:00 PM – 5:30 PM

Sepideh Rajaeirad, Senior Analytics Engineer, Seeq Corporation

Leveraging Equipment Hierarchy Across Platforms | Large Scale Deployment TVA Case Study

Thursday, February 27th | 10:00 AM – 11:30 AM

John Cox, Principal Analytics Engineer, Seeq Corporation

At their booth, Seeq will be demonstrating their latest release, R22, an advanced analytics solution for process manufacturing. Seeq enables engineers and scientists in process manufacturing organizations to rapidly analyze, predict, collaborate, and share insights to improve production outcomes. Customers include companies in the chemical, refining, power, oil & gas, pharmaceutical, mining, food and beverage, and other process industries.

New R22 features support enterprise data governance initiatives and priorities to support Seeq expansion in large organizations. For example, Seeq Integrated Security honors OSIsoft PI security restrictions for PI data access and enables administrators to set signal-level permissions on data in historians and other time series data stores. Each user therefore only has access to the data they need, facilitating data access compliance.

Seeq Data Lab, now in beta, was driven by Mark Derbecker, Seeq’s Vice President of Engineering, in response to requests by Seeq users to gain access to Python machine learning algorithms, and data scientist requests to leverage Seeq functionality.

“Our objective is to remove any barriers for process engineers who want to expand their Seeq analytics efforts to the rich ecosystem of Python libraries,” says Derbecker. “At the same time, Seeq Data Lab will enable data scientists to participate directly in process data analytics.”

All of the browser-based Seeq applications – Organizer, Workbench, and Data Lab – connect to a shared Seeq server to enable collaboration, access connected data sources, and enable administrative control. For example, graphics created in Data Lab may be viewed in Organizer Topics, data modeled in Workbench may be accessed by Data Lab users, and Data Lab algorithm results are available for use in the other Seeq applications. Example use cases for process engineers and data scientists using Seeq Data Lab include:

  • Python libraries for inclusion of Neural Network, Random Forest, K-means, and other algorithms
  • Python libraries for the display of specific data types and calculations can be incorporated in Data Lab analytics
  • Python libraries enable analytics which include population statistics, data lookups, and multi-dimensional data

“The rapid pace of Seeq innovation is leading to bigger customer engagements and even faster insights and impact from production data,” says Steve Sliwa, CEO and Co-founder of Seeq Corporation. “We are growing the organization quickly to keep up with customer needs in training, use case development, and core feature development.”

"Seeq continues to release compelling analytics solutions for customers in process manufacturing and Industry 4.0 engagements," says Janice Abel, Principal Analyst at ARC Advisory Group. "The need for faster and better insights is a consistent requirement for customers investing in IIoT and Smart Manufacturing."

Seeq partners with many leading process automation firms including OSIsoft, Emerson Automation Solutions, Inductive Automation, Honeywell, and Schneider Electric.

Seeq also supports all leading data historians, making it the most widely accessible and extensively used advanced analytics solution in process manufacturing companies. Supported historians include the OSIsoft PI System, GE Proficy, AspenTech InfoPlus (IP) 21, Emerson DeltaV Continuous Historian and Ovation DCS Historian, Honeywell Uniformance PHD Historian, Rockwell Automation FactoryTalk Historian, Inductive Automation’s Ignition Historian, DataParc Historian, Aveva’s Wonderware Historian, Citec SCADA, and eDNA Historian—with others in development.

To learn more about Seeq Workbench and connectivity options visit seeq.com.

About Seeq Corporation

Founded in 2013, Seeq publishes software applications for manufacturing organizations to rapidly find and share data insights. Oil & gaspharmaceuticalspecialty chemicalutilityrenewable energy and numerous other vertical industries rely on Seeq to improve production outcomes, including yield, margins, quality, and safety. Headquartered in Seattle, Seeq is a privately held virtual company with employees across the United States and sales representation in Asia, Canada, Europe, and South America.