Redis Labs to Power eHarmony’s Real-Time Applications

A shortage of developers can lead to more reuse of components, which often are not vetted or updated. That can introduce hidden vulnerabilities into applications that are hard to detect with traditional monitoring tools.

The company will use analytics and IoT to improve diagnostics and maintenance.

The IoT Threats Detection service will use machine learning and traffic analysis to learn legitimate behavior and detect anomalies.

The project’s goal is to increase the availability of internet access and promote IoT adoption.

AI can improve industrial inventory management where traditional systems struggle most. This includes forecasting intermittent demand, positioning inventory across multiple sites, improving execution accuracy, and moving surplus inventory from planning to action. In each case, the value comes from better decisions grounded in data.

Enterprises have built intelligence layers that can observe, predict, and recommend, but they have stopped short of allowing AI to execute decisions end-to-end. Here is what’s needed to overcome this.

In this week’s real-time analytics news: Apache Software Foundation (ASF) announced that Apache HugeGraph has become a Top-Level Project (TLP).

Hyperscale low-bandwidth IoT satellite constellations will soon power remote asset tracking, environmental monitoring, and agricultural telemetry.