"Back in 2016 - years before Claude and ChatGPT became household names - I had the privilege of working on IBM's Watson for Cyber Security, an AI assistant trained specifically on the language of cyber threats. We fed Watson thousands of cybersecurity documents, painstakingly labeling them so the system could learn to parse industry-specific language. For example, Watson had to be taught that a "honeypot" was not a jar of honey for bears, but rather a decoy server designed to lure in attackers."
"By now, we all know generative AI (genAI) as the inescapable "sparkly star" of our digital lives. From email drafting to workflow automation, genAI is always a click away. ChatGPT and its peers pulled AI out of the labs of machine learning engineers and data scientists and thrust it into the hands of millions of people. However, it's worth remembering: AI didn't begin with ChatGPT."
"PredAI Is Everywhere and Growing Watson wasn't an anomaly. PredAI is not outdated, nor is it a niche technology waiting to be replaced by genAI. PredAI is the engine room of modern enterprise. Large organizations today run thousands of predictive models, quietly fueling everything from fraud detection to clinical trial design. In financial services alone, machine learning-driven fraud detection is projected to save banks over $10.7 billion globally by 2027."
Generative AI (genAI) is highly visible and widely used for tasks such as email drafting and workflow automation, bringing AI into millions of users' hands. Predictive AI (predAI), also known as machine learning, predates genAI and performs mission-critical functions that demand precision, speed, and trust. PredAI applications include cybersecurity assistants like IBM's Watson for Cyber Security, trained on labeled threat documents to interpret domain-specific language, and enterprise-scale models that power fraud detection and clinical trial design. Large organizations run thousands of predictive models, and predAI continues to grow across finance and pharmaceuticals, delivering substantial economic and operational impacts while requiring strong security.
Read at Securitymagazine
Unable to calculate read time
Collection
[
|
...
]