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SIRAYA brings Arize AI to Taiwan for a forum on watching AI agents in production

Singapore's SIRAYA is hosting Arize AI in Taiwan on November 25 to discuss AI observability, the practice of checking how AI systems behave once they go live.

26%accuracy gain LG U+ reported for its AI agent

The short version

Why it matters

Building a chatbot is the easy part; knowing whether it keeps giving good answers is harder. Observability is how companies catch errors before customers do. If you use or buy AI tools at work, 'who is checking this, and how?' is a fair question to ask.

What was announced

As finance.technews.tw reported, SIRAYA, a Singapore AI company, will bring Arize AI to Taiwan for a forum on November 25. The event is titled "AI Agent from 0 to 100 in production." Arize's Asia-Pacific solutions director, Sean Lee, will talk about how AI observability is developing.

The timing reflects a shift. Companies are putting large language models, the AI systems behind chatbots, into customer service, knowledge management and automated workflows. Once that happens, someone has to keep watching them.

What AI observability means

Observability means tracking what an AI system does while it runs. That includes the calls made to the model, the steps an AI agent takes, and the quality of each answer. An agent here means an AI that carries out tasks rather than only replying to questions.

The source describes a loop: watch, evaluate, spot anomalies, step in quickly, then feed lessons back to improve the system. The aim is steady quality after launch, not just a good demo.

Who Arize AI is

Arize AI works on AI engineering, observability and evaluation. Its products include Arize AX, an enterprise platform, and Phoenix, an open-source tool, meaning its code is publicly available. Both help teams trace how AI applications run and judge how models and agents perform.

The report says Dynatrace, an enterprise observability company, bought Arize in October for $9.15 billion. It also says the platform handles over 1 billion AI evaluations a year and has processed 1 trillion pieces of trace data in total.

Examples from customers

The article names three users. South Korean telecom company LG U+ used Arize's evaluation tools and says its AI agent became 26% more accurate. America First Credit Union uses AI observability to monitor models for credit risk and fraud prevention. Tripadvisor has built observability and evaluation into its product development.

These are claims reported in a promotional context, so treat the figures as company-supplied.

What comes next

SIRAYA says the partnership should strengthen quality control for company AI use from development through live deployment. Patrick Kelly, Arize's Asia-Pacific vice president, said he hopes to help Taiwanese companies handle the challenges of growing AI use.

What to watch

Try it

Ask your team who reviews your AI tool's outputs after launch, and how mistakes get reported and fixed.

Sources and links

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First reported by finance.technews.tw · Read the original. Written by the SI Agent News Desk from the reporting above.Written with AI from the source above. Every number is checked against the source. Spot a mistake? Corrections.

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