Practical AI Understanding Starts with Semantics

Executive briefings, hands-on workshops, and capability-building programs in ontology, semantics, knowledge graphs, and AI readiness — for teams that need better categories, metadata, and AI decisions.

Offerings

Training and advisory built around how people actually make decisions with data

Executive AI Literacy

Briefings for leadership teams that cut through hype and build the working vocabulary needed to ask sharper questions about AI investments and data foundations

Ontology & Semantics Training

Hands-on workshops in ontology design, knowledge representation, and semantic modeling — turning abstract theory into skills teams can apply the same week

Knowledge Graph & Metadata Workshops

Practical training on building and governing knowledge graphs and metadata standards that make data usable, findable, and ready for AI systems

The Name

A small taxonomy lesson, and the whole point of the work

Everyone Calls It a Koala Bear

It isn't a bear at all — it's a marsupial, in a family of its own, and the label has been wrong for well over a century. Most organizations run their data and AI decisions on categories with the exact same problem: convenient, familiar, and quietly incorrect. The name is a standing reminder that precise categories, definitions, and metadata are not academic nice-to-haves — they are what determine whether your data, and your AI, can be trusted.

Turning unBearable data into Koality knowledge.

Taxonomy diagram distinguishing koalas from bears

Who It's For

Built to work for the people who set direction and the people who build the thing

Executive Leaders

Leadership teams who need a working grasp of AI and data strategy to set direction and evaluate vendors and initiatives with confidence

Technical Practitioners

Data, engineering, and knowledge management teams who need practical depth in ontologies, knowledge graphs, and semantic modeling

Cross-Functional Teams

Mixed groups spanning business and technical roles who need a shared vocabulary to work from the same set of categories and decisions

Engagement

Training that is scoped to where your team actually is, not a generic curriculum

Formats

Delivered in the shape that fits the audience and the timeline.

Executive briefings
Focused sessions for leadership teams that build literacy fast without pretending to make everyone an engineer
Hands-on workshops
Working sessions where teams apply ontology, knowledge graph, and metadata concepts to their own real data
Custom capability-building programs
Multi-session programs designed around a specific team's tools, maturity, and goals rather than a fixed syllabus

Principles

The standards every engagement is held to.

Concrete over theoretical
Every session ties back to decisions your team actually has to make, not abstract frameworks
Right-sized to your stage
Pitched to where your organization's data and AI maturity actually is, not where a vendor wishes it were
Built for knowledge transfer
The goal is a team that can carry the thinking forward on its own, not a dependency on outside experts

Grounded in Practice

Taught by someone who has done the work, not just presented on it

Shawn Tan Zheng Kai

Founder | Semantics & Data Strategist

Shawn is a semantics and data strategist with cross-disciplinary expertise in ontology-based data management, knowledge graphs, and FAIR data principles.

With a PhD in Neuroscience and experience at leading pharma and research institutes including Novo Nordisk and EMBL-EBI, Shawn brings deep semantic expertise to organizations navigating AI and data challenges — with particular depth in life sciences, and lessons that apply well beyond it.

Connect on LinkedIn

Start a Conversation

Tell us about your team, and let's find the right starting point together

Whether it's a one-off executive briefing or a longer capability-building program, the best way to start is a short conversation about where your team is today.

shawntan@signamind.com

A Koala Is Not A Bear