Webinars | September 27, 2024

Anomaly Detection Engine (ADE) using LSTM Neural Networks

Leverage the Anomaly Detection Engine (ADE) to solve key challenges across various industries.

Anomaly Detection Engine (ADE) using LSTM Neural Networks

Watch our webinar tailored for security, operational efficiency, and risk management professionals within their organizations.

To access the video, please fill in the form

Quick outline:

  1. Introduction
    Introduction to the Anomaly Detection Engine (ADE)
  2. Business context and objectives
    Examples of ADE applications in various industries
  3. Technological solution overview
    Why ADE outperforms traditional methods
  4. Practical use cases
    Fraud detection, quality control, fuel consumption optimization
  5. Results and impact
    Business benefits and ADE efficiency
  6. Conclusion and next steps
    Summary and future actions

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    Learn how ADE can assist in:

    ikonylanding fraud

    Detecting fraud in the financial sector
    Identify suspicious transactions and customer behaviors, minimizing the risk of financial loss.

    ikonylanding qualitycontrol

    Quality control in production Spot defective items during the production process, reducing waste and enhancing product quality.

    ikonylanding maintenance

    Maintenance management 
    Monitor the usage of consumable materials and detect anomalies that could indicate technical issues before they lead to breakdowns.

    ikonylanding fuel

    Optimizing fuel consumption in logistics and aviation 
    Uncover fuel misuse and optimize routes to lower operational costs and increase efficiency.

    Speaker

    Marcin Prys circle512

    Marcin Prys
    Senior Data Engineer / Technical Leader at Inetum

    Analyst with several years of experience in providing technological solutions aimed at increasing the business utility of data in an organization. University lecturer in the field of business analytics and data visualization.

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