Continuous intelligence

Continuous intelligence is a type of artificial intelligence (AI) that incorporates streaming data, allowing the AI to make more informed and timely decisions than traditional AI that relies on batch data.

Continuous intelligence works by taking a constant feed of information such as data streams, often including temporal data, enabling algorithms to detect nuanced patterns over time-series data for actionable insights. This real-time information is then deployed into production systems, meaning that decisions are made, and actions are taken, without needing manual intervention. These actions can be used for myriad applications, including fraud detection and automation.

The term was first used in 2014 by the Apache Software Foundation, which defines it as “the ability to analyze streaming datasets, detect patterns and anomalies in the data, then take action in near real-time.” Continuous intelligence is often used in conjunction with unattended automation, meaning systems are capable of making decisions without intervention from humans.

Continuous intelligence can often be more efficient than traditional batch processing, with the AI working more intelligently and autonomously than model-dependant AI. This leads to faster, more accurate decision making, which can save businesses both time and money.

Continuous intelligence is quickly becoming an integral part of the global economy, making it critical for businesses to understand it and stay ahead of increasingly sophisticated competitors. It has the potential to revolutionize how businesses make decisions, and with advances in AI, machine learning, and automation, it could be the key to future success.