Reasons Why You Need MLOps
Lack of version control, reproducibility, and standardization lead to errors, inconsistencies and operational inefficiencies, impacting model reliability and performance.
Due to the constant changes in model behavior and the complex model lifecycle nature can lead to model drift, resulting in degraded model performance and incorrect predictions.
Model Governance Challenges
Complex governance frameworks can create barriers to effective model governance while model visibility and explainability issues can limit model transparency and accountability, leading to concerns around model bias and fairness.
Model Security Challenges
Lack of model security leads to model malfunction, data poisoning, model theft and evasion; resulting in model tampering, incorrect predictions and potentially significant business impact.
Accelerated Innovation & Growth
Faster time to deployment and iteration of ML models results in a shorter time to market, allowing businesses to innovate and grow at a faster pace.
Boost Business Decisions with Reliable Model Reproducibility
Achieve greater transparency, reliability, and accountability in machine learning processes through model reproducibility.
Efficient Management of Data and Model Drift
Quickly monitor and manage data and model drift for operationalized models ensures that models remain relevant and performant, resulting in optimized business outcomes.
Blackstraw’s MLOps as a service offerings
- ML Strategy & Roadmap
- ML Technology Services and platform selection
- Data strategy for MLOps
- Standardized data and model pipelines
- Data and model security inclusive deployments
- Scalable model serving
- Model Monitoring and Governance Support
- Cloud and DevOps support for the model platform
Our Technology Expertise
End-to-End AI &
Blackstraw is an AI & Automation solutions company that offers end-to-end services, from data engineering to MLOps, with deep expertise in AI/ML, Data Science implementations.
ML-led Operations Expertise Automation Solutions
Our team possesses in-depth knowledge and expertise in ML libraries, ML platforms, and MLOps frameworks that are on par with global standards, enabling us to deliver powerful ML-led operations.
We focus on implementing the latest technology stack with speed, reliability, and quality, ensuring that our approach and frameworks are cutting-edge and innovative.
Our thorough understanding of the MLOps life cycle enables us to effectively collaborate with data scientists, business analysts, and data SMEs, ensuring delivery excellence for our clients.
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