London Masterdeck 2026

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©Seeq Corporation1

Welcome to Seeq Summit London 2026

S U M M I T 2 0 2 6

AGENDA

• 09:00 - 10:00 – Registration and Networking

• 10:00 - 10:10 – Welcome & Kick Off

• 10:10 - 10:40 – Keynote Speaker – Michael Stenman, VP, Customer Success at Seeq

• 10:40 - 11:15 – Codifying Expertise: Bridging the Skills Gap with Seeq - British Sugar

• 11:15- 11:45 – Industrial AI That Turns Chemicals Data into Margin - Seeq

• 11:45- 12:15 – Coffee and Networking Break

• 12:15 - 12:45 – Building the Future of Engineer-led Analytics - Solvay

• 12:45- 13:15 – Seeq at Infineum, A rollercoaster of a ride - Infineum

• 13:15 - 14:15 – Lunch and Networking Break

• 14:15 - 15:50 – Industrial AI Hands-On Workshop: Business Impact at Scale, from the Shop Floor to the Top Floor

• 15:45 - 15:50 – Closing Session

• 16:00 - 17:00 – Happy hour and networking

©Seeq Corporation2

2026 Conneqt

©Seeq Corporation3

NAMA Conneqt • 1-3 June 2026, Orlando • Orlando, Florida • JW Marriott Orlando Bonnet Creek

EMEA Conneqt • 28-30 October, 2026 • Amsterdam, Netherlands • Registration and CFA to launch in

mid-May

Points to Note During the Day

• Safety

• WiFi o Network Name: SEEQ o No password required

• Breaks & Lunch o Will take place in the Court Room

• Happy Hour o Will take place in the Garden

Ask Your Questions using Slido

Scan the QR Code to join our active Slido Session where you can ask questions throughout presentations and the presenter will answer them at the end of their session.

Questions can be submitted anonymously or with your name attached.

From Analytics to Intelligence How Manufacturers Win by Scaling Human Expertise

Michael Stenman VP, Customer Success Seeq

The Best Intelligence Isn’t Artificial. It’s Human Intelligence, Amplified.

Accelerate Insight • Scale Expertise • Create Advantage

Thank you

Any Questions?

Please raise your hand and a team member will bring you a microphone.

Scan the QR code to submit your questions using Slido.

Seeq Summit: Manchester 2024

Codifying Expertise: Bridging the Skills Gap with Seeq

James Caws – Principal Process Control & Analytics Engineer

30th April 2026

Alex Fedrick – Principal

Analytics Engineer

Introduction to British Sugar

Seeq Summit · London 2026

8 million tonnes

co-products

1 million tonnes

Our Team’s Objective

Problem

■ 120+ years of knowledge

■ Experience in key area lead roles has dropped from 15 years to 7 years

■ Shorter length of service

■ Cost pressures – leaner workforce

■ Takes 10+ years to train an expert

■ Risk to factory performance if knowledge drain continues

Solution – Codify Expertise

■ ‘Advanced Insight Centre’

■ Centralised expertise

■ Digital solutions

■ One-stop shop for operations insight

■ Standardised, consistent

■ Faster, better decisions

Seeq Summit · London 2026

Converting Data into Decision Support

DCS

Data

Lab

Data Docume

nts

Asset

Tree

Layer

Visualisat

ion

Single

pane of

glass

Analytics

& GenAI

Seeq Summit · London 2026

Suppor

Seeq used as the analytics engine

Seeq Summit · London 2026

■ Visualising and manipulating conditions - events, batches etc.

■ AI Assistant has enabled new team members to deliver faster

Key Benefits

Seeq Features – Asset Scaling Tool add-on

Seeq Summit · London 2026

■ Thanks to Emilio!

■ Enables scaling of calculations to similar assets

■ Adds the Seeq calculation on top of the original PI Asset Tree

■ Different datasource class, so indexing the PI Asset Tree does not overwrite the calculations

Seeq Features – User Defined Functions

Seeq Summit · London 2026

■ Built an extensive library of User Defined Functions

■ Updating of scaled calculations – just update the formula once in the UDF

Focus on developing AI

Workflows

S I N C E C O N N E Q T 2 0 2 5

How our approach has evolved A dozen agent workflows in production across the refinery, extraction, and specialist areas — and a clear shift in how we build them.

Agents in production

■ ~20 workflows running live

■ Covering refinery, extraction and specialist flows

■ Proven value, embedded in daily operations

Deterministic over probabilistic

■ Greater mix of deterministic code in the pipeline

■ Agents used where reasoning genuinely adds value

■ More predictable, testable, auditable outcomes

Rich context, lighter reasoning

■ Investing in high-quality context preparation

■ Structured knowledge, metadata and retrieval

■ Agents reason over curated inputs, not raw noise

Branching out: connecting to the wider organisation and other data sources via Copilot Studio and Azure AI Foundry.

Seeq Summit · London 2026

Seeq Summit · London 2026British Sugar | Data & AI Team

L O O K I N G A H E A D

Opportunities we're focusing on Where we see the next wave of value — building faster, connecting wider, and capturing knowledge that currently only lives in people's heads.

Coding agents

■ Agents building workflows and context at pace

■ Lowering the cost of iteration and experimentation

■ Freeing the team to focus on higher-value design

Connected data & tooling

■ Linking further data sources across the business

■ Broader automation and organisational value

■ Moving beyond the control room into the enterprise

Agentic knowledge capture

■ Using agents to interview, extract and structure tacit knowledge

■ Building richer, durable knowledge sources

■ Compounding value — every capture feeds the next agent

Seeq Summit · London 2026

T H E R E A L I T I E S

Challenges we're navigating

The technology is the easier part. The harder work sits around governance, people and pace.

Pace of organisational change Bringing people along on the journey — adoption, trust and change fatigue.

Governance & compliance Putting governance and tooling in place to meet the EU AI Act and internal standards.

Cyber security Ensuring the right controls are in place as agents reach across more systems and data.

Robustness & hardening As workflows move from useful to business-critical, hardening the agents, pipelines and infrastructure behind them.

Team resourcing & capability Building internal capability in a landscape that's moving faster than hiring cycles.

Constrained spend, real outcomes Managing a tight budget to get the best value and measurable outcomes from the technology.

Seeq Summit · London 2026

Thank you – any questions?

James.Caws@britishsugar.com

Alex.Fedrick@britishsugar.com

Zachary.Wilkins@britishsugar.com

Seeq Summit · London 2026

Any Questions?

Please raise your hand and a team member will bring you a microphone.

Scan the QR code to submit your questions using Slido.

The Person Behind Every Save

Is....a purpose-built operational analytics and decision intelligence platform centered around the unique knowledge of your experts. Move from data to decisions faster and at enterprise scale.

Query Data in Place, On Demand,

No Migration or ETL

of Your Experts

Designed for Collaboration

World-Class Generative AI

Assistants

Unmatched Time-to-Value With Less Risk

Expert Knowledge Store Fuels Your AI Future

Built for the Complexities of

Operational Analytics

Seeq provides Industrial AI and services that accelerate industrial transformation and improved operational outcomes

History & Funding Founded 2013

Privately Held - Funded by VCs and Industry Partners Second Avenue Partners, Altira, Insight Partners, Sixth Street Growth, Chevron Technology Ventures, Saudi Aramco Ventures

Our Team 200+ with deep industry expertise

Fully virtual, globally distributed

Our Partners 40+ Global Partners

AWS and MSFT Cloud Partnerships

Our Customers 270+ Industry Leaders Choose Seeq

SMB, Midmarket, Enterprise, Multi-National

ChemicalsMining & Metals

Pharma & Life Sciences

Oil & Gas

Other Process Industries

Food & Beverage

Power & Utilities

Semiconductors

At-a-Glance

Industry Leaders Choose Seeq

3 of the top 5 global

petrochemical companies

4 of the top 5 global

oil & gas companies

5 of the top 10

global mining companies

4 of the top 10

building materials companies

12 of the top 25

pharmaceuticals companies

Chemical Process Manufacturing – The New Reality

Past

• High Growth • Rising Demand • Scale = advantage

Now

• Low/Fragmented Growth • Overcapacity • Cost & Execution = advantage

1McKinsey 2Deloitte

The chemical industry faces a structurally tougher environment — analytics is a critical lever to protect margins and enable selective growth.

What's Getting in the Way Today

↓ Slow demand & overcapacity

Squeezing prices and margins, especially for higher-cost assets

Complex portfolios and transitions

Creating more opportunities for off-spec product and unproductive time

◎ Limited visibility into losses, energy, and emissions

Data is scattered, analysis is manual, reporting is hindsight

Fewer experienced experts, same tools

A smaller group of engineers is expected to do more — mostly in spreadsheets

What Success Looks Like for Chemical Leaders

01 Profitable.

More profitable use of existing assets

Deliver required volume at lower cost per ton

Remove chronic losses so plants can run lean

~$700K per year cost avoidance & incremental revenue

02 Consistent. Higher, more consistent quality and product mix

Raise first-pass yield and reduce downgrades

Shift volume to highest-margin grades and customers

60–80% less transition scrap

on key polymer products

03 Sustainable.

Lower energy and emissions at stable rates

Reduce energy, fuel, and steam per ton

Gain clear line of sight to ESG goals

$120K saved per faulty valve

per year

Industrial AI is interesting only as far as it moves these three needles

1. The SME is the Key o Put SMEs at the heart of every decision; treat their expertise as a first-class asset and give them the clarity,

context and data they need.

2. AI Augments and Enables SMEs o Use AI to enhance – not replace – expert judgement with contextual, trustworthy insights that strengthen

decisions.

3. Data that Flows with You o Access data where it lives (historians, cloud, MES) to accelerate insights while respecting governance and

architecture.

4. Elevate the Ecosystem o Integrate into existing environments so the whole tech stack gets more valuable over time.

The SME is the Key for Industrial Data Analytics and AI

• Process Engineer/SME: needs fast, trustworthy analysis across tags, batches, and units

• Operators: need clear timely guidance – not more noise – in the control room.

• Reliability/Maintenance: need early warnings and prioritized lists, not just more dashboards

• Plant/Operations Leaders (COO, plant managers): need line of sight from initiatives to throughput, cost, and sustainability

• CIO/Data Teams: need enterprise-ready operational analytics and decision platform that fits the existing stack – no data migrations or new silos and is in alignment with data architecture, security and governance.

Industrial AI Has to Work for Real People

If we don't design AI to amplify these people, we are solving the wrong problem

1 of 3

From data to decisions The Industrial AI stack

Your engineers are talented — but too much of their time goes to hunting

for issues. Seeq Analytics and Enterprise put AI to work on that, so your

people can focus on what only they can do.

Contextual Data

Time-series signals, events, batches, lab and quality, maintenance, hierarchies – organized the way your processes actually run

Analytics & Models

From SPC and root cause to anomaly detection and predictive models, aware of lags and process flows.

Decision loop

Detect ->Diagnose -> Decide -> Act -> Monitor -> Learn with SMEs in the loop so models and AI evolve with the plant

Outcome: plant data becomes real-time, decision-ready intelligence

1 of 3

How Industrial AI Turns Chemicals Data into Margin Your engineers are talented — but too much of their time goes to hunting

for issues. Seeq Analytics and Enterprise put AI to work on that, so your

people can focus on what only they can do.

Find Margin

SMEs use industrial analytics to expose specific losses in yield, scrap, energy, and uptime

Scale margin

Successful patterns become standard models and monitors across trains and sites

Protect margin

AI powered decision intelligence helps teams focus daily on the few drifts and decisions that matter most for throughput, energy, and margin

Outcome: plant data becomes real-time, decision-ready intelligence that leads to margin

Seeq Product

Seeq Intelligence

Seeq Enterprise

Seeq Analytics

Workflow at scale, Monitoring at scale

10x ROI through rapid amplification of analysis outcomes

and built-in workflows

Governance at scale, Models at scale

20x ROI through sustained, widespread deployment of

continuous improvement drivers

AI Workers

Live in chat, or triggered by monitoring activity,

integrated into the AI ecosystem

AI Chief of Staff

Personal highly-capable Industrial AI Concierge

for every user

Expanded Tooling

Empower SMEs to do more: Statistics, Multivariate, Batch

Curiosity at scale, Action at scale

30x ROI through broad adoption of powerful what-if modeling

and tailored optimizations

AI Profit Agents

AI Agents autonomously identify cost and profit drivers, making proactive suggestions

Expanded Possibilities

Empower SMEs to solve for more: Time-Series + Tabular Data, work

order integration

Expanded Audience

Empower more users to be SMEs: Zero to Hero in minutes

Now Next Future

• Challenge: o Small deviations upstream (feed composition, reactor severity, temperature) quietly amplify downstream

into off-spec product, flaring, or rate cuts; often discovered late.

• Human expertise: o Process engineers know what "good" looks like across units and campaigns o In Seeq Analytics the define golden operating envelopes and events tied to yield and energy

• AI amplification o Seeq Enterprise scales those envelopes across similar assets and sites; Seeq Intelligence explains what

changed, why it matters, and suggested actions in the context of throughput and energy KPIs

• Outcomes (margin): o Fewer off-spec tons and rework; more stable operations closer to constraints. o More profitable use of existing furnaces/reactors at a given energy budget

Use Case: Continuous Chemicals – Protect Yield, Energy and Margin

• Challenge: o Hundreds of pumps quietly drive throughput and utilities cost o Chronic issues show up as scattered work orders, minor trips, and higher energy per ton – not one big, obvious

event

• Human expertise: o Reliability engineers recognize failure and inefficiency (flow, vibration, suction pressure, motor load)

o Using Seeq Analytics, they codify leading indicators and healthy operating envelopes by pump family and service

• AI amplification o Seeq Enterprise scales those patterns across the entire pump fleet, monitoring all pumps and flagging assets drifting into

risky or wasteful operation o Seeq Intelligence summarizes which pumps to act on first, why, and likely interventions

• Outcomes (margin): o Fewer trips and unplanned rate reductions, better MTBF and line availability o Lower utilities and maintenance cost per ton by keeping pumps efficient and focusing effort on the few that matter.

Use Case : Pump Reliability and Energy Optimization at Scale

• Challenge • OEE is often managed with spreadsheets, with inconsistent definitions across lines and plants. • Chronic microstops, speed losses, and changeover waste quietly erode margin

• Human expertise • Production and CI teams know the real loss patterns: changeovers, cleaning, minor stops, minor speed

losses, and quality holds. • Using Seeq Analytics, they build a standard OEE and loss model for a pilot line (availability, performance,

quality), define reason codes, and analyze history to find the biggest chronic losses and bottlenecks.

• AI amplification • Seeq Enterprise scales that OEE+ model across similar lines and sites with common definitions. • Seeq Intelligence surfaces which lines and shifts are bleeding the most margin and suggests next-best

investigations

• Outcomes (margin) • Shift from backward-looking OEE reporting to forward-looking capacity and loss management: “What OEE

can we expect, and how do we achieve it?” • Benefit of more sellable tons per week/month from existing lines; lower conversion cost per ton

Use Case: OEE - Turning Line Losses into Margin

Moving to Network-Wide Impact

Phase 1: Prove value with focused use case • Select 2-3 use cases tied directly to throughput energy, reliability or margin on one unit or site • Each with clear P&L hypothesis (X% yield, Y% scrap reduction, Z% energy savings)

Phase 2: Standardize and package • Turn those patterns into reusable models/solutions with clear inputs, ownership and support • Create simple, role-appropriate experiences for operators, engineers and leaders

Phase 3: Scale across plants and regions • Prioritize rollout by value and readiness (data, sponsorship, skills) • Treat industrial data analytics and AI as a program with a roadmap and portfolio

• Global standards with local flexibility o Standardize KPIs, models, and workflows for golden batch, energy, and reliability; allow site level tuning flor

local constraints

• Clear ownership and governance o Define who owns models, monitored conditions, and data quality at the plan, regional and enterprise levels;

make changes intentional and auditable

• Joint value and ESG lens o Track improvement in margin and cost-per-ton and in energy intensity and emissions per ton on a single

scorecard

• A living knowledge base o Capture proven analysis, models and AI insights into a shared library, so new sites start from patterns that

are already delivering margin not from scratch.

Scaling Industrial AI: Global Standards, Local Reality

• Industrial AI is no longer optional; it's the competitive line between chemical plants that hit their numbers and plants that fall behind

• The differentiator is still your people – their process understanding, judgement, and creativity

• Seeq's role is to be your AI-amplified decision intelligence platform centered around the unique knowledge of your experts

• Seeq's role is to be your AI-amplified decision intelligence engine: capturing how your best people think and turning everyday chemicals data into repeatable, visible margin

• Use your SME to build that high impact use case, leveraging a cross-functional team to build with Analytics -> Enterprise -> Intelligence to scale gains across your network

Human Expertise, Amplified by Industrial AI

Thank You!

Building the Future of Engineer-led Analytics

Seeq Summit – London April 30

2026

Any Questions?

Please raise your hand and a team member will bring you a microphone.

Scan the QR code to submit your questions using Slido.

Seeq at Infineum A rollercoaster of a ride

Francesco Ferrante & Matt Stapleton

30 April 2026

Any Questions?

Please raise your hand and a team member will bring you a microphone.

Scan the QR code to submit your questions using Slido.

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

*unless you changed it previously

2. Navigate to your folder: My Folder > New London Summit AI Workshop 2

WiFi SSID: SEEQ Password: No Password Required

The Best Intelligence Isn’t Artificial. It’s Human Intelligence, Amplified.

Go Faster. Do More. Go Farther.

AI Workshop Using AI to Accelerate Value from Shop Floor to Top Floor

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

*unless you changed it previously

2. Navigate to your folder: My Folder > AI Assistant Training > AI Workshop - Perth Summit 2026

WiFi SSID: SEEQ Password: FRASERS100326!

From Analytics to Intelligence

• Time Series Data • SME Autonomy • Local Insights & Optimizations • AI - Accelerates Decisions & Expands Skill Sets

Adds: • Enterprise Insights & Impact • Enterprise Governance • SME Expertise Capture

Adds: • Decision Intelligence

• SME Expertise → Shared Intelligence at Scale • Connected Ecosystem

• Agentic Workflows & Automation

Seeq Workbench Demo

AI Workshop – from Shop Floor to Top Floor

Enable a new engineer to expedite analytics

Set up an early notification on low production at Unit 22

Document analytics value and provide visibility to others

Scale across global sites in a low code environment

Identify low production issue at site S2L3

Enable experience engineer at S2L3 to narrow down the root cause

Identify opportunity for continuous improvement

Actions Agent

Agent Q

Document Agent

Please…

• Ask Questions

• Feel free to interrupt

• Get a Seeq person for help

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

*unless you changed it previously

2. Navigate to your folder: My Folder > AI Assistant Training > AI Workshop - Perth Summit 2026

WiFi SSID: SEEQ Password: FRASERS100326!

Key Takeaways

• Choose Outcomes that Matter • Identify 1 high value operational challenge

• Scale Today • Moving from a single application to enterprise wide can

be done today • Build your Internal Champion Network

• Empower the team to drive change • Connections

• Connect

Intro Slides Slide 1 Slide 2: AGENDA Slide 3: 2026 Conneqt Slide 4 Slide 5: Points to Note During the Day Slide 6: Ask Your Questions using Slido Slide 7

Michael Slide 8 Slide 9: From Analytics to Intelligence Slide 10 Slide 11: Thank you Slide 12

British Sugar Slide 13 Slide 14 Slide 15 Slide 16 Slide 17 Slide 18 Slide 19 Slide 20 Slide 21 Slide 22 Slide 23 Slide 24 Slide 25 Slide 26 Slide 27 Slide 28 Slide 29 Slide 30

Janelle Slide 31 Slide 32: The Person Behind Every Save Slide 33 Slide 34 Slide 35: Industry Leaders Choose Seeq Slide 36: Chemical Process Manufacturing – The New Reality Slide 37 Slide 38 Slide 39: The SME is the Key for Industrial Data Analytics and AI Slide 40: Industrial AI Has to Work for Real People Slide 41 Slide 42 Slide 43: Seeq Product Slide 44: Use Case: Continuous Chemicals – Protect Yield, Energy and Margin Slide 45: Use Case : Pump Reliability and Energy Optimization at Scale Slide 46: Use Case: OEE - Turning Line Losses into Margin Slide 47: Moving to Network-Wide Impact Slide 48: Scaling Industrial AI: Global Standards, Local Reality Slide 49: Human Expertise, Amplified by Industrial AI Slide 50

Break Slide 51 Slide 52

Solvey Slide 53 Slide 54 Slide 55

Infineum Slide 56 Slide 57: Seeq at Infineum A rollercoaster of a ride Slide 58

Lunch Filler Slide 59 Slide 60

Asif (own laptop) Slide 61 Slide 62 Slide 63: Seeq Architecture Slide 64: Seeq Data Connectors and Integrations Slide 65: From Analytics to Intelligence Slide 66: Seeq Workbench Demo Slide 67: AI Workshop – from Shop Floor to Top Floor Slide 68: AI Workshop – from Shop Floor to Top Floor Slide 69 Slide 70

Closing Session Slide 71: Key Takeaways

End Slide Slide 72

London Masterdeck 2026

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