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Secure, and Private AI Workflows

Secure and governed AI workflows with IBM WATSONX.AI

IBM Solutions

IBM Gold Partner

Datakom delivers IBM Watsonx

A modern enterprise AI platform with unified workflow management, designed for business use, security, and the requirements of regulated industries.

For large enterprises and public-sector organizations, powerful AI models alone are not enough. 

A trusted platform is required to ensure security, compliance, governance, and the ability to build AI solutions based on data that remains fully under organizational control.

train

validate

deploy

monitor

WHAT WE DELIVER WITH IBM WATSONX

Trustworthy AI

transparency, governance, and security

Watsonx provides:

  • AI model governance
  • Usage traceability and auditability
  • Compliance with ethical and quality standards
  • Explainability — always understanding why the AI produced a specific result

This is critical for public sector organizations, financial institutions, med-tech, and any industry with strict regulatory requirements.

Watsonx.ai Studio

your AI development hub

A unified environment where data scientists and AI engineers can:

  • Train IBM Granite and other models

  • Validate and improve datasets

  • Build customized LLM capabilities

  • Control costs and resource usage

  • Deploy models as APIs or services

It delivers the full AI lifecycle in one platform.

Hybrid approach

on-premises + private cloud

IBM Watsonx lets you choose where models run — wherever it is safest and most practical:

  • On your local servers

  • In private or hybrid cloud environments

  • On IBM Cloud, AWS, Azure, or Red Hat OpenShift

Your organization maintains full data sovereignty and compliance (GDPR, ISO, NIST, and more).

Integration

with your business systems

Watsonx includes ready-made integration connectors that easily link with:

  • CRM, ERP, and warehouse systems
  • Data warehouses and data lakes
  • APIs and microservices
  • Security and identity management tools

This allows AI to become a true part of your business workflows — not an isolated experiment.

WHO IS THIS SOLUTION FOR?

best for

Large enterprises with strict security requirements

Finance, telecommunications, energy, and healthcare organizations where full AI transparency is required and data must remain within the organization.

Public sector and regulated industries

AI solutions that must comply with GDPR, ISO standards, and the EU AI Act.

Organizations with large data volumes

Companies training or deploying AI models using internal data and multiple data sources.

Enterprises building a private AI ecosystem

Secure LLM, multi-agent, and generative AI solutions deployed on-premises or in a private cloud.

AI and data science teams

Teams that need a professional platform for model training, validation, and deployment.

Organizations requiring controlled AI governance

Full AI governance, auditing, traceability, and reduced business risk.

WHY choose

DATAKOM + IBM WATSONX

Experience with national-scale and enterprise projects

Experts in AI governance, security, and data architectures

Seamless integration with HPC, GPU, and hybrid cloud infrastructure

Proven support for regulated industries — finance, energy, public sector, and healthcare

Result

Secure, governed AI that fully aligns with your organization’s IT and security requirements.

FREQUENTLY ASKED QUESTIONS (FAQ)

Public AI tools (such as ChatGPT, Claude, etc.) do not always provide:

  • Data sovereignty
  • Audit trails
  • Clear model control and governance
  • Integration with internal business processes
  • Compliance with regulatory requirements

Watsonx is an enterprise-grade platform specifically designed for security, governance, and controlled AI adoption.

Yes — Watsonx fully supports on-premises deployment.
This is critical for:

  • Public sector organizations
  • Financial institutions
  • Healthcare providers
  • Companies working with sensitive or regulated data

Yes. Watsonx.ai enables training of:

  • IBM Granite models
  • Open-source models (Llama 3, Mistral, etc.)
  • Company-specific models trained on your own data

The platform provides full data governance, versioning, and quality control.

Watsonx enables organizations to:

  • Audit every AI decision
  • Document data lineage and data sources
  • Apply ethical and transparency principles
  • Control access to models and data

This ensures compliance with GDPR, ISO, NIST, and the EU AI Act.

Typical timelines:

  • 2–4 weeks — architecture and security configuration
  • 1–3 weeks — system integrations
  • 1–2 weeks — model testing and customization

Full implementation usually takes 4–8 weeks, depending on project complexity.

Yes. In cooperation with IBM, we provide:

  • Training for data scientists in Watsonx Studio
  • Training for IT administration and security teams
  • Best practices for implementing AI governance

Yes — fully.

Watsonx integrates seamlessly with:

  • NVIDIA GPU clusters
  • HPC compute nodes
  • Kubernetes and Red Hat OpenShift
  • Private AI cloud environments

This enables a complete AI ecosystem — from training to secure, production-ready deployment.

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Improve it.
Transform it.

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