AI-forward enterprises are feeling immense pressure to get new AI technologies into their organizations, but they still don't have the tools to fully and reliably monitor these models once deployed.
With this in mind, Vianai is introducing the VIANOPS monitoring platform, designed to meet the emerging and accelerating demands of AI-driven enterprises. With the announcement, Vianai is making VIANOPS available free to try.
The VIANOPS monitoring platform is engineered to empower data scientists, ML engineers, ML managers, and MLOps teams to manage the complex ML models that make their businesses run.
Go more in-depth on VIANOPS in the blog VIANOPS Introduces Next-Generation Monitoring Platform for AI-Driven Enterprises.
High-scale, Low-Cost | VIANOPS Quick Facts
- VIANOPS monitors for critical risks that jeopardize a model's reliability and performance including monitoring feature and prediction drift, bias and fairness, data quality, and more.
- VIANOPS can monitor models with tens of thousands of predictions per second, hundreds of features and segments, and subsegments, with millions or billions of transactions, across multiple time windows, to find and solve problems degrading model performance.
- VIANOPS utilizes prediction drift and feature drift to indicate model performance when the ground truth is not available, it will also utilize flexible feature drift to determine segment-level data quality issue.
- VIANOPS customers can monitor the most complex of AI models - today's and future types of models (including Large Language Models /LLMs) - and do this without expensive new infrastructure in order to get the scale. This is key to ensuring AI is reliable and accessible for all types of enterprises that want to take advantage of the benefits but don't have dramatically larger budgets than before.
- VIANOPS utilizes prediction drift and feature drift to indicate model performance when the ground truth is not available, it will also utilize flexible feature drift to determine segment-level data quality issues.
VIANOPS is here for enterprises looking to affordably scale their ML operations.
VIANOPS monitors three critical assets:
- Input Data - the data used for the prediction
- Output Data- the prediction or target of the model
- Ground Truth Data - the real-world data to determine the prediction's accuracy
Mitigating Drift and Hallucinations
- Based on the changes (or drift) in the distributions of the input data, predictions from the model, or the ground truth data, VIANOPS determines when there are significant changes in any of these.
- VIANOPS can analyze these differences and compare them to either the training data or any production data seen in previous time horizons (e.g. last week or last quarter). Users can also set parameters for the percentage of variation that is acceptable. If the distribution drift goes outside these threshold parameters, smart alerts are triggered to investigate the cause and to retrain and deploy a better model. This detection and retraining can also be automated using VIANOPS APIs and Python SDK.
- Once an ML model is in production, drift risks are inevitable as the models' training data will differ from real-world data over time. VIANOPS features robust capabilities, including Root Cause Analysis, which can identify patterns at extreme scale in various spliced datasets (arbitrary segments of data) to monitor for minuscule changes and help data scientists and ML engineers take mitigation actions before the model degrades significantly and produce incorrect outcomes.
VIANOPS guardrails will be critical in ensuring AI models are more reliable and responsible.
Ease of Integration
Easy, secure integration is critical to enterprises as machine learning data is very sensitive and enterprises don't typically like to release their data to the public cloud. VIANOPS integrates directly into the company's workflow - plugging into their data sources and MLOps platform, as well as internal and external communications like email or Slack.
Go more in-depth on VIANOPS in the blog VIANOPS Introduces Next-Generation Monitoring Platform for AI-Driven Enterprises.
VIANOPS Free Trial
We are now offering VIANOPS free to try.
We invite data scientists, ML engineers, and MLOps teams - even infrastructure teams that are managing central platform services - at AI-forward enterprises to try VIANOPS. See the difference and imagine the future by signing up today!
