#anomaly-detection

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Artificial intelligence
fromTearsheet
1 week ago

How AI is changing payment fraud prevention: From evolving scams to predictive defenses - Tearsheet

Organizations lose an average of $60 million annually to payment fraud, while AI deployment can recover millions by improving anomaly detection and real-time threat analysis.
fromTelecompetitor
6 days ago

Comcast's MachineQ Unveils AI-Powered Insights for Businesses

The feature leverages AI to translate millions of IoT data points into clear, actionable insights for operations and procurement teams, compressing days of analysis and synthesis work down to a matter of seconds. The agentic AI application ensures repeated synthesis of high-volume data to identify patterns and trends across four key areas: asset location, utilization, alerts, and general status updates, as well as sensor readings from monitoring devices.
Artificial intelligence
Digital life
fromMedium
2 months ago

Google Unveils New AI Security Tools Ahead of Black Hat and DEF CON

Google is launching new AI-driven cybersecurity tools and partnerships at Black Hat USA and DEF CON 33.
#iot-security
fromHackernoon
1 year ago
Artificial intelligence

Solving the IoT's "Boy Who Cried Wolf" Problem: From Individual Alerts to Cumulative Certainty | HackerNoon

fromHackernoon
1 year ago
Artificial intelligence

Solving the IoT's "Boy Who Cried Wolf" Problem: From Individual Alerts to Cumulative Certainty | HackerNoon

more#iot-security
Data science
fromHackernoon
5 years ago

Traditional Monitoring Is Dead. Long Live Data Observability | HackerNoon

Data engineers should establish interactive observability frameworks to enhance anomaly detection in complex data organizations.
Node JS
fromHackernoon
3 years ago

Building a Multi-Language Monster Pipeline? Here's the Smart Way to Do It | HackerNoon

Unifying the processing of millions of events into a single computational graph enhances reliability and performance.
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