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Unified Intelligence Engine - UIE

InsightFinder Unified Intelligence Engine (UIE) platform leverages our advanced AI to seamlessly integrate and analyze diverse data sources, delivering actionable insights for optimal decision-making.

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Our platform expertly integrates with leading observability solutions and open source monitoring tools, ensuring a comprehensive and versatile approach to achieving AI-driven self-healing and self-optimizing.

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Summary of InsightFinder AI's quarterly product release updates.

AI Observability

Manage your AI models to detect and prevent model drift, ensure accuracy, and deliver performance.

IT Observability

Precise anomaly detection with threshold-less alerts, root cause analysis, incident prediction, and automated remediation to ensure continued service delivery.

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Google BigQuery Integration

Google BigQuery Integration

InsightFinder can source the data from Google BigQuery and correlate it with other data to generate anomalies and root causes. Below documentation is a walk through of how to configure Google BigQuery integration.

Project Configuration
Project Creation
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Project Configuration

Information needed: GCP JSON key for authentication. (Guide on how to get the JSON key https://developers.google.com/workspace/guides/create-credentials)

Project Creation

  1. Go to “Settings”->“System Settings”. Click on “Add New Project”.
  2. Select “Google BigQuery” from the list and click on “Create Project” on the next page.
  3. This is where you will start configuring the project.
    1. Project Id, Private key Id, Private key, Client email, Client id – Use your GCP authentication key information here. Please Note – Private Key starts with 5 ‘-’ and ends with ‘\n’.
    2. Another way is for users to directly upload JSON key file.
      (See Figure 1)
  4. Choose the data type (metric/log) you want to load and click on verify to continue.
  5. If the verification is successful, input the query needed to execute. The query MUST have the time_stamp and instance_name field. (See Figure 2)
    1. Sample query: select first_served_timestamp AS time_stamp, ad_type AS instance_name, spend_range_max_usd AS moneyMax from `bigquery-public-data.google_political_ads.creative_stats`
    2. To learn more about Google bigquery (https://cloud.google.com/bigquery/)

Figures

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Figure 2
Figure 2
Figure 1
Figure 1

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