Enterprise AI & Hybrid Cloud with watsonx
We combine SISCON's experience in applied AI with the IBM watsonx platform to bring AI models to production with governance, explainability and regulatory compliance. Ideal for sectors that require full audit trails and operations on hybrid cloud.
Services
What we offer with IBM
Enterprise AI with watsonx.ai
Fine-tuning and deployment of IBM Granite foundation models + open-source LLMs on your infrastructure. Integration with SISCON AI agents.
Data Fabric with watsonx.data
Open lakehouse architecture, data federation and preparation for AI use cases. We connect your silos without moving them.
Governance with watsonx.governance
Lineage, bias monitoring, drift and compliance for AI models in production. Full audit trail for regulated sectors.
Hybrid Cloud with Cloud Pak
Workload modernization, containers and microservices on IBM Cloud Pak for Integration and for Applications.
Operations with Maximo
AI-driven predictive maintenance for physical assets. Ideal for manufacturing, utilities and retail with critical infrastructure.
FinOps with Turbonomic
Continuous AI-powered cloud cost optimization. Automatic rightsizing and typical 20-30% reduction in cloud spend.
Representative Case · Financial Services
Governance of credit risk models
Context
Mexican financial institution regulated by CNBV with an SME credit portfolio. Used internally developed scoring models without formal version traceability, drift or bias monitoring.
Challenge
Comply with explainability and AI governance requirements from the regulatory authority without halting the daily scoring pipeline or retraining from scratch.
SISCON + IBM Solution
watsonx.governance: Model cards, lineage, drift
watsonx.ai: Retraining with Granite
watsonx.data: Lakehouse over historical data
Integration: API into existing scoring pipeline
Results (4 months)
Anonymized case based on a real project. Specific details available under NDA.