AI Model is the Heart of Your AI Application, But is It Truly Reliable, Resilient, Performant, Accessible, and Ready for the Future?
Traditional testing often falls short, focusing solely on basic functionality and neglecting the critical areas that truly impact the AI Model’s success. Don’t let the non-deterministic nature of the AI Model impact your business-determining ability.
Introducing our comprehensive “AI Model Testing” service, designed to go beyond the ordinary and address the unique challenges posed by it.
Non-deterministic
Different behavior for the same inputs—the behavior can change with a change in test/training data.
Data adequacy and quality of data
Large amount of data to train the models, and data quality in terms of bias, skewness, etc.
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Domain knowledge
Domain knowledge is necessary to understand data, feature engineering, result interpretability, applicability, etc.
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Bias
Understanding of data for strata, their representation, and sampling—human bias, noised data, etc.
Data interpretability
It being a black-box, when it comes to it working or explainability of data.
Forget generic AI Model testing that misses the mark. Our service offers a comprehensive and differentiated approach that covers different testing methodologies and determining factors:
“According to a 2022 Deloitte report, 79% of AI leaders believe that establishing trust in AI systems through rigorous testing and validation is a critical success factor.”
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Benefits
Independent and objective evaluation
Eliminates potential biases that might exist within an internal development team. Neutral and objective assessment of your AI model’s performance across all measures—a reliable evaluation that identifies true strengths and weaknesses.
Access to specialized expertise
In-depth knowledge and experience in the latest AI model testing tools, techniques, and methodologies, identify issues that generalists might miss.
Scalability and cost effectiveness
Scalable testing solutions tailored to the complexity of your model and data sets deliver thorough testing without unnecessary expense.
Benchmarking and industry standards
Compare the model’s performance against industry benchmarks and relevant standards, providing valuable insights into its competitiveness–helps in identifying areas for improvement to meet industry best practices.
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Confidentiality and intellectual property protection
Prioritize the security and confidentiality of your data and intellectual property—peace of mind knowing your proprietary data is protected.
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Fresh perspectives and continuous improvements
Bring a fresh and unbiased perspective to your AI model, leading to the discovery of potential hidden problems.
Consulting services
- Understanding the Problem Statement
- Data Analysis (Gaps Capability, Feasibility)
- Forming Objectives
- Recommendations
AI Model Testing as a service
- Customized Service Structure
- On Premise / Cloud Based Testing Custom Engagement Models
- Choice of Service Locations
- Trainings
As no two models are the same, we tailor our approach to your unique needs. Our expertise in technology and domains provides an edge over generalists. Trust our established practices and robust metrics to deliver complete and robust AI Model evaluations. Partner with us for an AI-driven future.