Perth 2025 Summit Keynote.pptx

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Dustin Johnson CTO & Founding Partner

Welcome! Thank you all for traveling to be here. I know that you all have busy lives, and we appreciate you investing the time to learn, collaborate, and educate today.

Where We Started “We’re drowning in data, but starving for information.”

By Engineers For Engineers

Let me repeat Familiar?

Collecting data since the 80s Excel! 3

Data Information Contextualize Insights Discover Decisions Brainstorm

Where We Are ~250 employees Fully remote Cloud native SaaS 100s of customers Over $2B in validated ROI

Where We Are 100s of customers 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 material companies 12 of the top 25 pharmaceutical companies such as…

Where We Are 4 Apps 2 Suites 1 Platform

Play snappy product tour video that Dustin loves

Continuous Learning, Lasting Value Complexity Scaled Simply A Holistic, Human-centered Workflow

INDUSTRIAL ENTERPRISE MONITORING™

INDUSTRIAL ANALYTICS AND AI

For years, Seeq Industrial Analytics & AI has been empowering subject matter experts across the organization (process engineers, data scientists, lob leaders) to identify opportunities that drive impact – opportunities that can help increase yield, reduce downtime, reduce emissions, etc. We are taking the recipe for success there to the next level of value for our customers, with an eye toward addressing what makes this scaled type of excellence particularly difficult. To drive system wide transformation, there are 3 key areas that need to be addressed Scale and complexity of IEM use cases are addressed with Seeq IEM Suite Vantage assembles and presents large scale monitoring insights and enables broad collaborative issue prioritization among subject matter experts with sorting, filtering, and info suppression Automated condition monitors handle automated calculation density with ease. The capability is proven to many hundreds of thousands Enterprise-grade performance excellence with auto-scaling, datasource optimization, and near-real time performance optimizations Foundational, differentiating capabilities with time series data handling and industrial analytics/AI Recognizing that there is a web of people and systems around any given decision. A holistic workflow is implemented, recognizing the subject matter experts at the center. Insights across diverse technology systems and teams that are scaled and exposed in one place. Industrial Enterprise Monitoring use cases in Seeq benefit from the ability to perform collaborative root cause and ad hoc analytics right in the same space as the monitoring workflow. Those decisions and the context around them are codified in the customer’s body of knowledge for utilization and reference in future operational decisions. With event-based workflows in Vantage users can flag, label, and leave comments. These become part of the context accessible for decisions in the future Extensible and customizable integrations and UIs support enterprise-adaptable workflows Transparency which breeds trust across the enterprise An agile and adaptable monitoring approach is achievable with Seeq platform capabilities that remain flexible for continuous improvement and scaling. Enterprise performance, integrations, and scale still maintain agile flexibility. Adaptable and flexible integrations and UIs Agile and flexible enterprise data model Installed and configured in a few days for use by cross-functional teams and with existing infrastructure Can be applied to a single line or an entire enterprise. IEM solutions with Vantage in Seeq are agile and well-suited to adaptive growth over time

Industrial Enterprise Monitoring Scale Across Assets Self-Service Analytics Operationalize Condition Monitoring Triage

Investigate

Continuous Improvement Subject matter experts empowered to drive continuous improvement across the entire industrial enterprise

Seeq’s AI capabilities build upon our strategy and existing strengths Seeq has all four components required to enable Generative AI for real-world industrial use cases. Data - Access to the critical time series and business data Context - Codified and labeled by users as conditions, capsules, journals, annotations, etc. Industry Expertise - IP that informs prompt engineering, use cases, ML accelerators UX - Human-at-the-Center of decisions via persona-based applications with AI Assistants

Where We’re Going *Disclaimer: As an Agile company, we are led by the needs and desires of our customers. We think the strategic vision presented here is a darn good one, but it is provided for viewer entertainment and enjoyment only. Any similarities to real individuals is merely coincidental and should not be construed as fact or opinion against them or their pets.

Where We’re Going AI first Investigation and Analysis Workflow Agents GenUI Natively AI User Interfaces Every Squad

Where We’re Going AI first Putting ML to work – Ours, yours, and theirs ML Ops Operationalize

Where We’re Going AI first Enterprise needs Models Point-n-Click Scale Out

Where We’re Going AI first Enterprise needs Knowledge exchange

Ensure I leave Knowledge Exchange on an open note and perhaps tease Executive Dashboards/Insights 17

Where We’re Going Better Data-Driven Decisions

VANTAGE

WORKBENCH

ORGANIZER

Perth 2025 Summit Keynote.pptx

Item Type: pptx