newsquawk.com · 18 Sep, 01:14 · Technology briefing

PRE-MARKET TAIWAN AND SINGAPORE STOCKS NEWS: ASUS (2357 TT) partnered with Poesis on autonomous trading agents powered by NVIDIA technologies

ASUS has announced a strategic partnership with Poesis to develop autonomous trading agents.

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The briefing

The story
in brief.

What happened, who it affects, and why it landed on our intelligence desk — in plain English, sixty seconds or less.

ASUS has announced a strategic partnership with Poesis to develop autonomous trading agents. These systems leverage NVIDIA’s advanced computing technologies to enhance financial market operations. The collaboration aims to integrate high-performance hardware with sophisticated artificial intelligence algorithms. This move signifies a growing trend in the financial technology sector towards automated, AI-driven decision-making processes. Professionals in finance and technology sectors should note this development as it highlights the increasing reliance on robust computational infrastructure and intelligent software solutions for trading efficiency and accuracy.

Employer demand for Artificial Intelligence skills — indexed growth since 2019
Indicative index of skill mentions in professional job postings for the field this story moves (2019 = 1)
20191x20201.2x20211.7x20222.4x20233.5x20245.1x20257.3x20269.9x
Your move

What this means
for your career.

Every headline redistributes opportunity. Here is who this one rewards — and how to be on the right side of it.

This partnership signals that autonomous systems are moving from theoretical models to practical financial applications. You must prioritise skills in algorithmic trading and machine learning infrastructure. Data Scientists and Quantitative Analysts will see heightened demand for expertise in building and maintaining these agents. If you are in IT, focus on NVIDIA’s hardware ecosystem and high-performance computing. A smart professional would immediately upskill in Python for financial modelling and explore certifications in AI strategy. Understand the ethical and regulatory implications of autonomous trading. Network with fintech developers to grasp the technical stack. Do not ignore the operational risks; study compliance frameworks for AI in finance. Your career resilience depends on bridging the gap between raw computational power and strategic financial application. Start building relevant projects now.

For this story, the fields that convert it into pay are Artificial Intelligence, Data Science, Finance and Accounting and Python For Data Analysis — exactly the programmes matched below. The chart shows the indicative salary uplift certified professionals report in each of those fields; every one of them is a click away, from £79, finishing in as few as 20 days.

Indicative salary uplift in the fields matched to this story
Indicative ranges from published continuing-education salary studies, by field — each field is a recommended course below
Artificial Intelligence+22%Data Science+27%Finance and Accounting+32%Python For Data Analysis+20%

This briefing is based on reporting by newsquawk.com on 18 Sep, 01:14. Read the original coverage →

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