To Harness The Potential Of Product Data Accelerating Enterprise Digital Transformation: Benefits of Knowledge Graphs and AI For Enterprise PLM Platforms Oleg Shilovitsky's presentation at PI DX 2023 Conference, Atlanta GA.

1. To Harness The Potential Of Product Data
Accelerating Enterprise Digital Transformation: Benefits of Knowledge
Graphs and AI For Enterprise PLM Platforms
Oleg Shilovitsky CEO, co-founder

2. 20+ years of working for large software vendors
and startups in CAD, PDM, and PLM
Experience with enterprise industrial companies
(e.g. Volvo, Boeing, Nokia) as well as with many SMEs
Started a professional blog - Beyond PLM, which became
the leading PLM blog online, published ~4000 articles for the last 14 years
Oleg Shilovitsky
CEO, co-founder
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3. Top 5 manufacturing problems
Importance of digital transformation
Understanding of Knowledge Graph
Role of Knowledge Graphs in AI
Problems with existing PLM platforms
SOR, SOE, SOD
OpenBOM & Knowledge Graphs in PLM
Content
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4. Manufacturing is transforming…
✔ Manufacture Better, Faster, Cheaper
✔ Post COVID Digital Transformation
✔ Ongoing supply chain disruption
✔ Sustainability in manufacturing
✔ Regulation complexity and risks
✔ Manufacturing on Demand (MOD)
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5. How can we prepare for these events?
Xirallic Car Colors Chip Shortage Ever Given
Fukushima COVID 19 Accident
There are many smaller events impacting engineering and manufacturing operation daily…
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6. Help Industrial Companies to Move From Disconnected Data Silos
to Cloud-Native and Intelligent Platforms
To harness the potential of product data within the manufacturing industry.
Enable the transition of engineering and manufacturing operations from
isolated software applications to a connected ecosystem driven by data.
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7. Here is the problem…
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8. Problem: Product Data Management Complexity
Support Team
Manufacturing
Planner
Engineers
Procurement
OEM1
PARTNERS
TIER1-n SUPPLIERS CUSTOMERS
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9. Next Tech Phase is Informational
Credit: Tony Seale (https://medium.com/experience-stack/embrace-complexity-part-1-39483f10a47f)

10. Challenges Faced By Enterprise In Digital Transformation
✔Information accuracy
✔Improve decision process
✔Accelerate processes (NPD, CM)
✔Risk Mitigations (supply chain, compliance)
✔Support new manufacturing models (XaaS)
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Can traditional
PLM systems
solve these
problems?
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11. What are limitations of traditional PLM systems?
This is how traditional PLM looks like:
- Tables, tables…
- Relational databases
- Internal Keys
- Table Joins
Huge complexity in connectivity between data coming from different sources
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12. Traditional PLMs → Vision vs Reality
Reality
Vision
Traditional Architecture of PLM Systems Is Disconnected From Digital Web Vision
Credit: CIMdata
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13. 5 Problems with traditional PLM systems
1. Tables and local IDs is the foundation of PLM
2. Relational DB and single tenant architecture
3. No easy way to recombine the data
4. Find relationships between systems is hard
5. Application logic is tightly connected
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14. What Solution Can Help?
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15. What is Semantic Web and Linked Data?
In computing, linked data is structured data which is interlinked with other data so it becomes more useful through
semantic queries. It builds upon standard Web technologies such as HTTP, RDF and URIs, but rather than using
them to serve web pages only for human readers, it extends them to share information in a way that can be read
automatically by computers. Part of the vision of linked data is for the Internet to become a global database.[1]
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16. What is Knowledge Graph and Why it is important?
In knowledge representation and reasoning, knowledge graph is a knowledge base that uses a graph-structured
data model or topology to integrate data. Knowledge graphs are often used to store interlinked descriptions of
entities – objects, events, situations or abstract concepts – while also encoding the semantics underlying the
used terminology.
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17. What is Knowledge Graph and LinkedIn Data?
10 years ago…
It is the way to present
structured information…
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18. Graphs and Networks is the answer to the problem of complexity
Examples of Graph Model Representing Bill of Materials or System of Part in PLM
Credit: OpenBOM
Credit: Mercedes Benz Research
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19. Networks, network effect and network value
Excel
ERP
PLM
CAD
DB
Model
Connect
Transform
Product Knowledge Graph Is A Network
Graph is product
data network
connecting
products and
companies
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20. Large Language Models, Generative AI, and ChatGPT
Source: https://primo.ai/
Neural Networks
and LLM
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21. How LLM and KG are complimenting each other
Knowledge Graph
Large Language Model
Eg. ChatGPT
Credit: https://medium.com/@Tonyseale
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22. Example: Structured Approach in Complementing LLM with Structured Queries
Source: https://www.marktechpost.com/2023/05/17/researchers-from-china-propose-structgpt-to-improve-the-zero-shot-reasoning-ability-of-llms-over-structured-data/
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23. Product Knowledge Graph Extended To Multiple Manufacturing Silos
80%
By 2025
By 2025, graph
technologies will be
used in 80% of data and
analytics innovations,
up from 10% in 2021,
facilitating rapid
decision making across
the organization
This is a missing link in AI models between LLM and KG
Credit: Beyond PLM
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24. Systems of Records, Systems of Engagements, System of Intelligence
Various Forms of Collaboration
Systems of
Records
Systems of
Engagement
Systems of
Intelligence
PLM/ERP/MES
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25. OpenBOM Example
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26. From data chaos to agnostic product graph model, collaboration & decision support
1. Remove the pain of inefficient data management and integrations
2. Unmatched collaboration for manufacturing companies & supply chain
3. Decision support using graph data science and AI
Multi-Tenant Product Graph-Based Digital Thread
Excels, Legacy Databases, PLM, MES, ERP, CRM
Excel
Legacy DBs
PLM/MES/ERP/CRM
Online Public Data
NPD
BOM Copilot
Change Impact
Costing
Sustainability
OpenBOM™ Values:
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27. OpenBOM Solutions Strategy For SMB and Enterprise
New Product Development Decision Support & Analytics Graphs & Artificial intelligence
● OpenBOM for SMB/SME (PLM+ERP)
● NPD for Enterprise
● BOM collaboration (for enterprise)
● …
● Enterprise cost estimation (PLM/ERP)
● Change Impact Analysis
● Suppliers risk assessment
● …
● Graph Navigation
● BOM Copilot (ChatGPT for BOM)
● …
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28. © OpenBOM, 2023
OpenBOM Platform Architecture & Technology Highlights
Customers
Polyglot Persistence
Mongo
DB
Neo4j
DB
Elastic
DB
OEMs
REST APIs and Microservices
Partners
Suppliers
Multi-Tenant Product Graph
App Services
Users 80%
By 2025
By 2025, graph technologies will be
used in 80% of data and analytics
innovations, up from 10% in 2021,
facilitating rapid decision making
across the organization
✔SaaS, public, private (AWS)
✔Multi-tenant flexible data model
✔Patented real-time collaboration
✔Simultaneous Collaborative Editing
✔Role-based instant data sharing
✔Graph & Data Science support
✔Generative AI / LLM support in research

29. Support
Team
Manufacturin
g
planner
E
n
g
i
n
e
e
r
s
Procuremen
t
PARTNERS CUSTOMERS
(2) Graph-Based Data
Model Queries and
Data Science
(5) Flexible real-time
data schema and
integration services
OEM1 TIER1-n SUPPLIERS
OpenBOM™ Platform
Schema Data Knowledge Graph
Key Differentiators Of OpenBOM Digital Thread Platform
(3) Real-time data
sharing and
simultaneous editing
(6) OOTB NPD
(PLM+ERP) app for
SMB and Enterprise
(1) Multi-Tenant Data
Architecture
(4) Global Scale (SMB
and OEM-suppliers)
Coming: NPD BOM Copilot
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30. OpenBOM Product Knowledge Graph Digital Thread Foundation
P1
P2 P3
P4
P5
2
1
10
1
1
P6
P7
P8 P9
P10 P11
2
2
5
5
1
1 1
(P1) Product1
(P2) Part1 (P3) Sub Assy 1
(P4) Part 10 (P2) Part 1
Qty=1
Qty=2
Qty=1
Qty=10
Qty=1
(P5) Part 11
BOM1
(P6) Product2
(P2) Part1 (P7) Sub Assy 2
(P8) Part 20
(P9) Sub Assy 3
Qty=2
Qty=5
Qty=5
Qty=1
(P10)Part 20 (P11) Part 25
Qty=1 Qty=1
(P5) Part 11
Qty=2
(P1) Product 1
Qty=1
BOM2
BOM
to
Graph
converting
process
BOM1 + BOM2 = Common BOM Graph
OpenBOM™ Platforms
Schema Data Intelligence
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31. Example: OpenBOM Graph Navigation and Data Modeling
Source: OpenBOM™ 2023
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32. 80+ Public user
stories online 320+
Public reviews on
G2 including video
customer reviews
Achievements
“From the multi-level product BOM, we create an Order in
OpenBOM for our next batch of units. The Quantity Gap (the
on-hand inventory) is calculated and the buyers know immediately
what we need to buy to complete that order. OpenBOM vendor
sources have been pre-defined for each item to smooth the way
when supplier shortages are encountered.”
Jackie Wu, CEO
5 hours per week on BOM maintenance - now 10 minutes. OpenBOM
gives us what we need without the significant overhead of the big
PLM system” -
Lead Engineer, Fortune 500 Consumer Electronics Manufacturer
320+ G2 reviews, #1 in G2 PLM Grid
80+ customer stories online SMB/SMEs, Enterprise
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33. Use Case #1: Design to Purchase Process (NPD) for SMB/SME
● Replace Excel
● Integrate with CAD
● PDM/PLM
● BOM Management
● Inventory+Procurement
● OpenBOM=PDM+PLM+ERP
“it is right-sized for my company. Filling a niche that MRP
systems are not. Other programs are too limited or to
cost too much. OpenBOM offers a lot of benefits to a
company in a certain range and at a great value.“
John E, President, Gates Underwater
“Just as Onshape is a single source of truth for the CAD
design, OpenBOM does the same for manufacturing
production planning, purchasing, and inventory control. It
is a perfect relationship.”
David Rubli, Senior Mechanical Engineer, Xtend Robotics
© OpenBOM, 2023

34. Use Case #2: OpenBOM for Enterprise (New Product Development)
● Replace Excel
● Agile NPI/NPD
● Team Collaboration
● Data Integration
● Inventory Control
● RFQ/Purchasing
https://www.g2.com/products/openbom/reviews/openbom-review-8090696
What do you like best about OpenBOM?
The fact that OpenBOM interfaces with Solidworks so seamlessly is a
huge benefit! Its as simple as installing the plug in for Solidworks.
From there you can create or update a BOM in the OpenBOM platform
using a Solidworks assembly with just one click of a button.
What problems is OpenBOM solving and how is that benefiting you?
It allows for us to NOT have to use a messy Excel table that is
bounced around a large group of people (Engineers, Supply Chain,
Management, etc.) . OpenBOM functions as a single source of truth
and allows multiple collaborators to work together seamlessly.
Nicolas Zamora, Mechanical Engineering Manager
Beckman Coulter Diagnostics
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35. Thank you!
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