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Join industry leaders at the ML:Integrity conference on Oct. 19
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ML Integrity
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Overview
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Post-Deployment: AI Continuous Testing


TRACK PRODUCTION MODEL BEHAVIOR

Robust Intelligence's test-based approach provides monitoring and automated root
cause analysis.


DETECT ANOMALIES AND DRIFT IN YOUR PRODUCTION DATA

Complications such as data drift, data anomalies and data errors will inevitably
appear once a model is deployed to production. AI Continuous Testing answers
both the what and the why of changing data. It not only detects issues as they
happen but also provides insight into their root causes - shortening the time to
resolution.



AUTOMATED ROOT CAUSE ANALYSIS OF MODEL FAILURES

Production data is noisy, and model performance can decline over time.
Discovering the underlying driver of performance declines is a time-consuming
process. AI Continuous Testing automatically surfaces the specific issue and the
associated data points that are to blame.


GAIN VISIBILITY INTO MODEL BEHAVIOR

When you have multiple models in production, maintaining oversight over their
behavior can be a manual and time-consuming process. AI Continuous Testing
automatically tracks model performance across all of your production models so
that you can focus on remediating issues that are surfaced.



AUTOMATIC THRESHOLDING AND ALERTING

Data is inherently contextual and thus requires analysis to establish thresholds
for production validity. AI Continuous Testing automates this thresholding
process and generates alerts when such thresholds are crossed.



MONITOR ANY MODEL


Go beyond simple performance monitoring for your complex models. The RI platform
provides native and rich monitoring of NLP, CV, and tabular models.


INTEGRATE SEAMLESSLY


Deploy in a single line of code. Connect to your production ML framework, with
hooks into your alerting and retraining pipeline of choice.


AUTOMATED


Spend less time fiddling around with monitoring dashboards and more time fixing
the issue with automatic root cause analysis of model issues in production.


TRACK CUSTOM METRICS


Define and track the metrics that matter for your business, in addition to the
metrics that come ready out of the box.

"Robust Intelligence helps our data science teams standardize our pre and
post-production ML testing practices, reducing time-to-production and the
inherent risk associated with ML deployments. Expedia runs hundreds of models in
production, developed by multiple teams, which serve hundreds of millions of
predictions a day. Robust Intelligence enables our data science teams to
continue building cutting edge AI models while minimizing failures."
Dan Friedman
VP of Data Science
"As the FDA continues to emphasize removing bias in ML models, the Robust
Intelligence Platform is well-positioned to ensure that models in production are
robust in a standardized, automated fashion while also being flexible enough to
comply with rapidly evolving regulatory guidelines."
Alex Zhong
Senior Manager, Machine Learning & AI Research
"Using the Robust Intelligence Platform, we were assisted in the quality control
process (which previously was carried out manually) and proceeded with
development more efficiently, robustly, and uniformly. The technical skills of
the Robust Intelligence engineers are extraordinary."
Eiji Yoshida
Head of IOWN Innovation Office
“Robust Intelligence serves as a guidepost for us to instill machine learning
integrity.”
Ram Bala
Sr. Principal Data Scientist
“Tokio Marine Group utilizes AI across various business areas, from claims
services, product recommendations to customer support. Despite the immense
benefits of AI, the more we apply AI into our business, the severer the
consequences of AI risks are. Robust Intelligence provides unique and
unparalleled offerings to identify and address AI vulnerabilities that are
otherwise very hard to recognize. We are committed to working with them and
further accelerating our business collaboration.”
Masashi Namatame
Chief Digital Officer
"Seven Bank leverages AI at the core of our ATM services and financial services,
addressing societal needs and challenges from our customers’ perspective. Robust
intelligence ensures the quality of such models, which are critical to AI
utilization. By constantly guaranteeing the state of AI against changes in
customer behavior, service needs, and other potential changes, RI enables us to
take a big leap forward in applying AI to bring our services even closer to our
customers."
Yoshiyuki Nakamura
Assistant General Manager, Corporate Transformation
"As companies operationalize AI at an accelerated rate, the consequences of
model failure are amplified. Companies must put in measures throughout the model
lifecycle to eliminate negative social and economic impact. Robust Intelligence,
which instills integrity in ML models, brings additional strength to NEC’s
extensive experience and knowledge in using AI. The companies will work together
to build and operate AI systems in a safe, reliable, and fair manner for NEC's
customers across industries."
Hitoshi Imaoka
Senior Director




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Product
ML IntegrityPlatform OverviewAI Stress TestingAI FirewallAI Continuous Testing
Solutions
Data Science LeadersData ScientistsCompliance TeamsTabular DataNLP DataComputer
Vision Data
Use Cases
Model Production ReadinessReal-Time Model ProtectionModel Compliance
AssessmentModel MonitoringModel Security
Company
About UsCustomersCareersBlogNews and Press
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