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Interaction Analytics




Remove points of friction and automate customer journeys with a deeper, more precise understanding of interactions on any channel using Snorkel Flow.




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Case Study —



Enterprise AI Made Practical




Enterprises ranging from Fortune 50 banks to global biotech, telecommunications, and insurance providers use Snorkel Flow to put AI to use.


10-10x
Speedup in Training Data Creation
10-100x
Speedup in Training Data Creation
+0%
Accurate ML Models
+90%
Accurate ML Model
Minutes0
to Customize ML Models
Minutes
Speedup in Training Data Creation

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Understand Every Customer Interaction


Build precise interaction analytics using Snorkel Flow trained using your own interaction data. Go beyond brittle, off-the-shelf software trained on generic customer interactions–no costly manual labeling required.







Is this an all inclusive resort? [PRICE]
How far are you from the airport? [LOCATION]
Is parking free at this hotel? [FACILITIES]
Are dogs allowed? [RULES]


High-Accuracy Models


Reduce errors by using large amounts of your own interaction data to train ML models with industry- or business-specific attributes







Faster, Lower-cost Extraction


Use programmatic labeling to train models that extract custom attributes in minutes instead of spending weeks or months on expensive hand-labeling.

Is the customer query about a fraudulent charge?

What products were recommended by the agent in the call?

Is there any confidential information in this email?

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PHONE TRANSCRIPTS
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EMAIL
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CHAT
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SOCIAL POSTS
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REVIEWS & SURVEYS

Rapidly Adaptable


Rapidly build apps that adapt to new attributes in a fraction of the time. Retrain models with ease to changing input data or business objectives.







Private and Secure


Process complex issues for any type of analysis while keeping customer data private and secure. Avoid shipping data for off-premises manual labeling.

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SENTIMENT
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INTENT
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COMPLIANCE
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TOPIC
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TEMPORAL






Why Snorkel Flow —



A Radically New Approach to AI




Conventional AI approaches rely on generic third-party models, or brittle rule-based systems, or armies of human labelers. With Snorkel Flow, programmatically labeling unlocks a new workflow that accelerates AI app development.



With Snorkel Flow

  • Customize state-of-the-art models by training with your data & adapt to changing data or goals with a few lines of code.
  • Leverage cutting-edge ML to go beyond simple rules, and retain the flexibility to audit and adapt.
  • Label thousands of data points programmatically in hours, while keeping your data in-house and private.

With Conventional Approaches

  • Pre-trained vendor models often don’t work on your data, no way to customize, adapt, or audit.
  • Rules-based approaches often don’t perform well on complex data or adapt easily to changes in data or goals.
  • Hand-labeled ML is hugely expensive, with often no way to iterate and adapt, be privacy compliant, audit, or reuse.




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How Snorkel Flow Works —




An End-to-end ML Platform Centered Around Data




Designed to accelerate AI application development by removing the training data bottleneck.




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01


Label & Build
Label and build training data programmatically in hours without months of hand-labeling
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02


Integrate & Manage
Automatically clean, integrate, and manage programmatic training data from all sources
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03


Train & Deploy
Train and deploy state-of-the-art machine learning models in-platform or via Python SDK
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04


Analyze & Monitor
Analyze and monitor model performance to rapidly identify and correct error modes in the data






Solutions —



AI Use Cases


Build and deploy use cases previously blocked by training data by combining state-of-the-art ML with industry-specific best practices and flexible API-based integrations using Snorkel Flow.