Desktop No code AI tools

Experimental and Cost-Effective Desktop Development

As a complementary option to enterprise-scale implementations, Alice Data Science supports the experimental and exploratory development of forensic and behavioural analytics solutions using desktop-based, NO-COST environments such as RapidMiner and KNIME.
These platforms enable organizations to prototype analytical workflows, test hypotheses, and validate models on real log data without upfront licensing costs or infrastructure commitments.

This approach is particularly effective for:

• Proof-of-concept and pilot activities
• Exploratory forensic analysis and pattern discovery
• Internal capability building and training
• Early-stage validation prior to enterprise deployment

By leveraging these tools, organizations can adopt a low-risk, incremental path toward advanced analytics, ensuring methodological soundness and stakeholder confidence before transitioning to production-grade or scalable architectures.
In addition to desktop-based experimentation, Alice Data Science supports the development and validation of forensic and behavioural analytics solutions on cloud-based platforms, including Azure Machine Learning.
This enables organizations to move seamlessly from local experimentation to secure, scalable, and enterprise-grade environments, while maintaining continuity in methodologies, models, and governance practices.

Combined with desktop tools such as RapidMiner and KNIME, Azure ML allows organizations to:

• Develop and test models locally at no initial cost
• Transition validated workflows to a controlled cloud environment
• Leverage scalable compute resources for advanced analytics and deep learning
• Integrate models with enterprise systems, data lakes, and security controls

This hybrid approach supports a gradual and low-risk evolution from proof-of-concept to production, ensuring alignment with security, compliance, and operational resilience requirements, while preserving flexibility and cost control.