Product feature
Industrial knowledge graph
Extract data relationships, capture interconnections, and trace data lifecycles in a flexible knowledge graph that adheres to industry data standards and represents your operations digitally.
29 June 2023
Online webcast
15:00 CEST
-8:00 AM CDT
-10:00 午後 JST
Cognite Product Tour: Data Contextualization Masterclass
To apply generative AI in industrial environments, context means everything.
Liberate previously siloed data sources, give context to this data, and simplify the generation of insights at scale.In this Data Contextualization Masterclass we will:
- Deep-dive into the link between Generative AI and data contextualization
- How to automatically contextualize and model OT, IT, and Engineering (ET) data
- Demonstrate practical use cases with Generative AI only achievable with contextualized data
Overcome the industrial data problem and deliver business impact at scale
15-30% Labor productivity increase
10-30% Throughput increase
30-50% Reduction in emissions
"Data is key to digitization, but extracting insights remainschallenging. Over 80% of firms recognize the importance ofindustrial data in driving their business decisions and innovation.Despite this, 83% experience challenges with using data to deliverinsights across the organization."
Meet the speakers
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Geir Engdahl
CTO
Geir Engdahl is the Chief Technology Officer and co-founder of Cognite. Engdahl runs Cognite’s R&D department, leading the development of Cognite Data Fusion®. In 2011, Engdahl founded Snapsale, a machine learning classifieds startup. He served as CEO and CTO until Schibsted acquired the company in 2017. Before that, he spent three years as a senior software engineer for Google in Canada. Engdahl has a master’s in computational science from the University of Oslo.
Peet Cremer
Engineering Manager
Peet Cremer leads the contextualization R&D at Cognite as an Engineering Manager. He joined Cognite in 2021 after developing advanced AI-based perception systems at a leading automotive supplier for 4 years. Peet evolved from being an expert on creating the data foundation for autonomous driving to connecting and contextualizing industrial data at scale. With his quantitative background in computational physics and machine-learning, Peet has more than 10 years of combined experience in solving complex data problems. Peet Cremer has a PhD in physics from the University of Düsseldorf, Germany.
Andreea Pastinaru Oprea
Director of Product Management
Andreea's passion lies in crafting innovative solutions to complex problems, ultimately creating impactful products with compelling stories that resonate with customers. With a robust background in Product Management spanning over eight years, coupled with more than eleven years of experience in data platforms and building solutions using Machine Learning techniques and AI.
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