Master Deck Calgary Summit.pdf

/live_board/v2/downloads?uid=8252c724-7667-447a-9971-d5a6b96b62e1&redirect=true

Seeq Summit Calgary October 23rd, 2025

Seeq Crash Course with AI Chris Herrera Head of API and Interoperability

• Seeq Overview • You Are the Expert! • A View Into the Future

Crash Course Agenda

Seeq Overview

Unique Problems Require Unique Expertise

What is the purpose of technology??

Capture

Distribute

Augment

Human Expertise

Data AI

Technology Alone Can’t Solve Million Dollar Problems

Your Experts Are The Key To Million Dollar Outcomes

Data AIExperts Query In Place

Data On Demand

Expert Enriched Training Data

Operationalize ML Predictions

Insight >> Decisions >> Outcomes

Purpose Built For Operational Analytics

Expert Knowledge Store

GenAI Accelerators

Your Experts

The Future Of Operational Intelligence Human-Centric AI Amplified Enterprise Ready

Seeq Operational Intelligence Platform

You are the Expert

1212

The Goal

• See how you can solve tough industrial problems in Seeq

• …while getting a basic orientation to “what Seeq is and does”

• …with a focus on how AI accelerates value

1313

Welcome to Seeq!

Sign into preview.seeq.dev • Username: Your Email Address • Password: Your Email Address all lower case

Navigate to your folder: My Folder > AI Assistant Training > Seeq Crash Course

(2 volunteers - what are you hoping to get out of this session?)

1414

Who are you?

•You: Managing Engineer •Line: A4 •Product: Zyphorene (a high value

chemical)

1515

What are you Doing?

1. Quickly identifying pump issues in the Zyphorene production line

2. Quantifying the total production each day • In the past this has been calculated infrequently, by hand,

using the weight of the transport truck measured at the gate.

1616

Line A4

Flowserve Pump moves product

Meter Measures amount (flow)

Storage Tank

1717

What Seeq Does, What Seeq Is

Connect, not copy Align Data Auto-updating

All Data in One Place

VANTAGE

1818

What Seeq Does, What Seeq Is

Knowledge Capture Reports & Dashboards Interactive Auto-updating

Connect, not copy Align Data Auto-updating

All Data in One Place

Self-Service Analytics No-code Tools + Formula Visualizations Notifications

Use Case &

Document VANTAGE

VANTAGE

1919

What Seeq Does, What Seeq Is

Knowledge Capture Reports & Dashboards Interactive Auto-updating

Connect, not copy Align Data Auto-updating

All Data in One Place

Self-Service Analytics No-code Tools + Formula Visualizations Notifications

Use Case &

Document VANTAGE

VANTAGE

AI for • Vantage Insights • Analytics • Scripting • Learning/Skill-up • Documentation

2020

There are no rules!

• Let’s work together!

• Feel free to comment, ask questions!

2121

What we did

Knowledge Capture Reports & Dashboards Interactive Auto-updating

Connect, not copy Align Data Auto-updating

All Data in One Place

Self-Service Analytics No-code Tools + Formula Visualizations Notifications

Use Case &

Document VANTAGE

VANTAGE

AI for • Vantage Insights • Analytics • Scripting • Learning/Skill-up • Documentation

2222

What’s Next

Knowledge Capture Reports & Dashboards Interactive Auto-updating

Connect, not copy Align Data Auto-updating

All Data in One Place

Self-Service Analytics No-code Tools + Formula Visualizations Notifications

Script & Code Simplify data sci Customize add-ons Big ML integration

Scale Scale Analytics over similar assets

Use Case &

Document VANTAGE

VANTAGE

AI for • Vantage Insights • Analytics • Scripting • Learning/Skill-up • Documentation

2323

What’s Next

Knowledge Capture Reports & Dashboards Interactive Auto-updating

Connect, not copy Align Data Auto-updating

All Data in One Place

Self-Service Analytics No-code Tools + Formula Visualizations Notifications

Script & Code Simplify data sci Customize add-ons Big ML integration

Scale

“Work the Problem”

Scale Analytics over similar assets

Enterprise Insights Monitor, triage, respond to business-level issues

Use Case &

Document

VANTAGE

AI for • Vantage Insights • Analytics • Scripting • Learning/Skill-up • Documentation

A View Into the Future

Seeq Platform Evolution Timeline

2013

2025

Industrial time series data is an untapped gold mine if the right analytics concepts were invented

Seeq Workbench launches as a first-of-its-kind self-service time series analytics application

Analytics work naturally benefits from collaboration, knowledge capture, reporting and dashboards

Seeq Organizer launches as a companion application for sharing and collaborating on analytics insights

Data Scientists and Operations Engineers need a much easier way to collaborate

Seeq Data Lab launches to enable the Python-oriented data science community in industrial scenarios

Scientists and engineers are processing immense amounts of data with Seeq, and it’s only going to grow

Seeq Cortex platform now leverages cloud technologies to horizontally scale computation

Seeq Vantage offers a collaboration epicenter for exception-based action, at scale

Monitoring hundreds of thousands of assets would increase production and decrease waste

Seeq launches the AI Assistant and AI Analysts to provide industrial insights from data

AI can mine time series data, Seeq conditions, workbooks, journals, Organizer topics for insights

Create a condition to detect when pump 123 is consuming more than 12kW and call it “Pump High Load.”

Visualize pump inlet and outlet pressures and associated power consumption.

Apply the pump model to every one of my pumps made by Flowserve.

Was there any downtime related to material shortage yesterday on the Acme product lines?

Compare operations by batch, site and shift for last six months.

Signals, Conditions, Scalars

Worksheets, Dashboards, Documents, Journals

Models

Vantage Rooms

AI Agents

The Insights Pyramid

Three-Year Product Development Themes

Premium AI

Industrial Enterprise Monitoring

Emergent Opportunities

Change Management ML Tools/Workflows

SPC/Six Sigma Workflows Value Capture

100,000s of Conditions OEE Workflows

Models

1,000,000s of Conditions Executive Insights Knowledge Mining

Model Management

10,000,000s of Conditions Tight Ecosystem Integration

2025 2026 2027

Investigation & Analysis Agents Initial Copilot Integration

Autonomous Worker Agents "working on your behalf" Ecosystem Agents

? ?

See you back at 1:45pm!

Break

Meet the Attendees!

OT/IT Convergence in the Age of AI Panel Discussion

Kjell Raemdonck Director, Analytics

Engineering Seeq

Christine D'Hondt Director Azure – Western

Canada Microsoft

Guanjie Shen Lead Solutions Architect

Databricks

Bart Maciszewski Head of Analytics

Imperial Oil

Melanie Popp Director – Operations

Consulting PwC Canada

Turning Data into Decisions: Unlocking Enterprise Value with Seeq + Microsoft + Databricks Christine D'Hondt (Microsoft), Guanjie Shen (Databricks), Chris Herrera (Seeq)

3232

The Challenge - The Enterprise Analytics Stack

Data Warehouses

Data Lakes

Data Contextualization

Enterprise Data

Operational Data

BI Tools

AI/ML Platforms

Analytics Flows

Operational Experts

Data Engineers / Architects

Business Analysts Data Science Teams

Supply Chain Experts Finance Teams

Impact of Disconnected Analytics

Impact • Decisions are delayed — insight depends on

manual data movement and offline reconciliation between teams.

• Enterprise initiatives are disconnected from operational realities — models are built on assumptions or static snapshots instead of live plant data.

Result Most fail to deliver value at scale

(> 78%*) *Capgemini

A Modern Architecture for Industrial AI

Industrial AI Ecosystem

Industrial assets

OT systems

PLM

MES

QMS

SCP

SCADA

HMI

APM

Edge Cloud

AI Security, Privacy, Safety

Cohesive AI Enabled Infrastructure

Unified Data Platform

Integrated + Interoperable Secure + Resilient Observable

Contextualization Contextualization

A Modern Architecture for Industrial AI and Unified Analytics

The Analytics "Iceberg" Above the Water (Visible Outcomes) • Dashboards & BI Reports

• Advanced Analytics & AI Models

• Data Applications

Below the Water (Foundational Capabilities) • Data Ingestion & Integration

• Data Modeling and Transformation

• Data Governance and Quality

• Compute Flexibility & Scalability

A Modern Architecture for Industrial AI and Unified Analytics

What Does This Enable

S OLU TIO N

RE SU LTS

CHAL LENG E

S OLU TIO N

RE SU LTS

CHAL LENG E

Supply Chain vs Operational Constraints

• Operations are throttled, but root causes span both OT and business systems

• Engineers see asset-level issues, but miss issues like fuel delivery delays, tank availability, or commercial constraints

• Siloed data systems and groups prevent clear attribution of lost production or efficiency

• Use Seeq to tag constrained periods (e.g. assets idling, flaring, or running below capacity)

• Ingest Seeq conditions into Databricks to combine SME context with business data to attribute constraints across physical, supply chain, and commercial domains

• Produce results in Power BI / Fabric

• Shared visibility into why throttling happens—whether it's due to tanks being full, fuel delays, or scheduling misalignment

• Enables cross-functional teams to act on root causes using data from systems they already trust

• Supports better scheduling, purchasing, and CapEx planning by tying operational impact to business constraints

S OLU TIO N

RE SU LTS

CHAL LENG E

S OLU TIO N

RE SU LTS

CHAL LENG E

End-to-End Profitability Analysis by Unit

• Ops teams lack visibility into the true profitability of specific operating modes or campaigns

• Finance teams can't accurately attribute costs or margins to when and how production occurred

• OT and IT data live in silos, limiting cross-functional analysis

• Use Seeq to segment campaigns (startups, steady-state, ramp-down, outages) and flag abnormal periods

• Ingest conditions and signals in Databricks from Seeq, where analysts in Fabric combine this data with: • Fuel contracts, production volumes, maintenance costs,

trading prices, staffing levels, carbon intensity

• Profitability scored by campaign, shift, or unit

• Engineers and analysts work from a shared timeline, improving alignment on decisions

• Enables prioritization of high-margin strategies and identification of unprofitable modes

S OLU TIO N

RE SU LTS

CHAL LENG E

S OLU TIO N

RE SU LTS

CHAL LENG E

Sustainability Reports with Business Attribution

• Engineers can detect emissions excursions, but lack visibility into downstream impact on sustainability goals

• Sustainability and compliance teams struggle to trace back ESG deviations to specific assets, shifts, or decisions

• OT data and business data are disconnected, making auditable, granular ESG reporting difficult

• Use Seeq to detect, tag, and quantify emissions events (NOx, SOx, CO₂), high water usage, or flare volumes

• Analysts produce sustainability-adjusted metrics using Seeq data with data from other sources in Databricks via Fabric • Feedstock origin, contract data, product shipment

records, permit thresholds, and carbon price curves

• Enables traceable ESG performance down to asset or campaign level

• Engineers and sustainability analysts work from common event definitions

• Supports audits, investor reporting, and regulatory compliance with aligned data across departments

4242

Ethylene Real-time Optimization Moving edge network information to the cloud for analysis…

Process Data

Economic Data

Realtime Optimization

Models Model Outputs

Setpoint Recommendations

4343

Ethylene RTO Data Architecture

Edge Network

Commercial Network

Cloud

File Transfer Tool

RTO

Mo del Outputs & Setp oint Reco mmendations

File Share

Self-hosted Runtime

Azure Data Factory

Data Lake

Landing Zone

Databricks Spark

Incremental ingestion into Delta Live Tables

Databricks Serverless SQL

Seeq UI & Analytics on RTO Data

Databricks Connector

Hourly

Runs

Move Files

out PCN

Copy files to

Data Lake

Process Files to Structured Data

Optimally Store Data

Fast Data Retrieval

Interact, Analyze, & Present

Power BI

Thank You / Questions

Intro Slide 1: Seeq Summit Calgary

Crash Course Slide 2: Seeq Crash Course with AI Slide 3: Crash Course Agenda Slide 4: Seeq Overview Slide 5 Slide 6: What is the purpose of technology?? Slide 7: Technology Alone Can’t Solve Million Dollar Problems Slide 8: Your Experts Are The Key To Million Dollar Outcomes Slide 9 Slide 10: Seeq Operational Intelligence Platform Slide 11: You are the Expert Slide 12: The Goal Slide 13: Welcome to Seeq! Slide 14: Who are you? Slide 15: What are you Doing? Slide 16: Line A4 Slide 17: What Seeq Does, What Seeq Is Slide 18: What Seeq Does, What Seeq Is Slide 19: What Seeq Does, What Seeq Is Slide 20: There are no rules! Slide 21: What we did Slide 22: What’s Next Slide 23: What’s Next Slide 24: A View Into the Future Slide 25: Seeq Platform Evolution Timeline Slide 26 Slide 27: Three-Year Product Development Themes Slide 28: Break Slide 29: Meet the Attendees!

Panel Slide 30: OT/IT Convergence in the Age of AI Panel Discussion

Presentation Slide 31: Turning Data into Decisions: Unlocking Enterprise Value with Seeq + Microsoft + Databricks Slide 32: The Challenge - The Enterprise Analytics Stack Slide 33: Impact of Disconnected Analytics Slide 34 Slide 35: Industrial AI Ecosystem Slide 36: A Modern Architecture for Industrial AI and Unified Analytics Slide 37: A Modern Architecture for Industrial AI and Unified Analytics Slide 38: What Does This Enable Slide 39: Supply Chain vs Operational Constraints Slide 40: End-to-End Profitability Analysis by Unit Slide 41: Sustainability Reports with Business Attribution Slide 42: Ethylene Real-time Optimization Slide 43: Ethylene RTO Data Architecture Slide 44: Thank You / Questions Slide 45

Master Deck Calgary Summit.pdf

Item Type: pdf