Palmakers delivers Palantir Foundry consulting and implementation, integrating human and AI actions across operations, transactions, edge devices, and applications in real time, built on a secure AI platform and enterprise ontology for data integration.

Leveraging ICT for business with diverse data from ERP, CRM, logistics, and autonomous systems requires an alternative architecture for optimal analysis, AI, and feedback.

Data, logic, and action - combined into a enterprise decision model designed for human-AI teaming.

Leveraging Information and Communication Technology (ICT) for business encounters growing complexities with diverse data streams from ERP, CRM, logistics, and autonomous systems, often in various formats and environments. Traditional databases fall short in optimizing operational analysis, AI integration, and post-decision feedback. To unlock the full potential of data, an alternative architecture is essential. Palmakers offers innovative solutions tailored to maximize data utilization and drive business success in today's dynamic landscape.

The digital twin

To grasp the value of this new architecture, we begin with three essential decision-making elements:

Data (information for decisions)

Logic (decision evaluation process)

Action (decision implementation).

To grasp the value of this new architecture, we begin with three essential decision-making elements:

Data (information for decisions)

Logic (decision evaluation process)

Action (decision implementation).

Data

As enterprise data grows in volume, variety, and velocity, organizations must integrate structured, unstructured, and streaming data, including employee decision data. Palantir Foundry is an AI platform for data integration and enterprise ontology, delivered through Palantir Foundry consulting and implementation.

Logic

Palantir Foundry supports AI decisions with employees in control. A governed enterprise ontology enables data integration between human logic and AI platform reasoning. Palantir Foundry consulting and implementation focus on actions that execute decisions.

Logic

Data is crucial, but decision-making requires a balance with logic and AI. Despite AI-driven decisions, employees shape workflows, utilizing AI's learning and reasoning to automate tasks, enhance efficiency, and analyze data for informed decisions. Ontology connects human and machine logic, akin to business logic in customer service interactions. The next step involves developing the model for executing the decision (the action).

Action

Palantir Foundry uses an enterprise ontology to enable secure actions and writebacks, closing the action loop between data and decisions. This moves analytics into operations and supports Palantir Foundry implementation, data integration, and AI platform use.

Data

Organizational data is rapidly expanding in volume, variety, and velocity, taking diverse forms such as (un)structured, streaming, edge data, and decision-generated data from employees. This "decision data" includes details about:

decisions made,
options evaluated,
implications for data changes, and the subsequent updates to source systems.

Logic

Action

The Ontology facilitates secure execution of actions as scenarios, ensuring data and logic security, and enabling secure writebacks to business entities. Closing this "action loop" in real-time decision-making distinguishes an operational system from an analytical system. In summary, Ontology integrates data, logic, and actions into a comprehensive decision model, driven by a modular architecture from data integration to end-user workflows.

Ontology

The Digital Twin

In Palantir Foundry, the enterprise ontology is the operational model that unifies data integration, logic, and actions into a single decision layer, the digital twin of the organization. It connects real-world objects to provide context for human and AI workflows on the AI platform, and closes the action loop by writing governed changes back to source systems, a core element of Palantir Foundry implementation and Palantir Foundry consulting.

The Ontology acts as a unifying force, seamlessly integrating data, logic, and actions into a comprehensive decision model—the operational layer or "digital twin" of the organization. Representing real-world counterparts with interconnected objects, it provides rich context for both human and AI workflows. Designed to align with business intricacies, the Ontology incorporates an action loop, ensuring changed data is seamlessly communicated back to source systems.

Linked Objects

The enterprise ontology in Palantir Foundry connects physical assets such as plants, equipment, and products with conceptual entities like orders and financial transactions. Through governed data integration, objects, properties, and real time links remain aligned, providing decision makers with a consistent, operational view across the AI platform.

Human and (Gen) AI - driven workflows

Palantir Foundry uses an enterprise ontology to connect physical assets such as plants, equipment, and products with orders and financial transactions. Through governed data integration, objects, properties, and real time links stay aligned, giving decision makers a consistent operational view across the AI platform.

Operational decisions

Palantir Foundry uses an enterprise ontology to connect physical assets such as plants, equipment, and products with orders and financial transactions. Through governed data integration, objects, properties, and real time relationships stay aligned, supporting Palantir Foundry implementation and giving decision makers a consistent operational view across the AI platform.

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Palmakers delivers Palantir Foundry consulting and implementation, integrating human and AI actions across operations, transactions, edge devices, and applications in real time, built on a secure AI platform and enterprise ontology for data integration.

Leveraging ICT for business with diverse data from ERP, CRM, logistics, and autonomous systems requires an alternative architecture for optimal analysis, AI, and feedback.

To grasp the value of this new architecture, we begin with three essential decision-making elements: Data (information for decisions) Logic (decision evaluation process) Action (decision implementation).

To grasp the value of this new architecture, we begin with three essential decision-making elements:

Data (information for decisions) Logic (decision evaluation process) Action (decision implementation).

Data

Logic

Logic

Action

Data

Logic

Action

To grasp the value of this new architecture, we begin with three essential decision-making elements:

Data (information for decisions)

Logic (decision evaluation process)

Action (decision implementation).

Data (information for decisions)

Logic (decision evaluation process)

Action (decision implementation).