TechTouch Asia

Appdome, the provider of protection for mobile businesses, has announced IDAnchor, the industry’s first customer identity protection (CIP) solution for the mobile economy.  IDAnchor fingerprints each release, installation, and device used to access, log in, and generate transactions in a mobile app. It combines this chain of trust with real-time threat signals to bring sign-in alerts and unrecognised device notifications to every mobile app in the world, creating perimeter defenses around identity verification (IDV), customer identity and access management (CIAM), as well as other services in mobile apps. “Mobile brands have learned the hard way that successful authentication doesn’t mean there’s a trusted identity, engagement, or transaction in an app,” said Tom Tovar, Co-Creator of Appdome.  “They also want the ability to tell when there’s unauthorised activity on an unrecognised device, application, or installation. IDAnchor solves all these challenges easily.”  Custom...

Johnson Controls has expanded availability of its YORK YVAM air-cooled magnetic bearing chillers to Australia, addressing the demand for efficient and sustainable cooling solutions for both hyperscale and colocation data centres. Source: Johnson Controls. The YORK YVAM air-cooled magnetic bearing chiller. As the region sees a surge in investments in digital infrastructure, the company is committed to delivering innovative, efficient, and sustainable solutions tailored to Australia’s unique operational challenges.  “Australia is experiencing significant growth in demand for data centres, driven by the rising need for data storage and management, and the rapid adoption of AI and cloud services. To meet these evolving demands, data centre operators are increasingly seeking advanced cooling technologies that maximise efficiency and minimise resource consumption, even when operating in high temperatures,” said Craig Buettel, GM, Pacific, Johnson Controls. “The YORK YVAM chiller is desi...

Mentor Media, a leading global supply chain solutions provider headquartered in Singapore, has reduced onboarding and accelerated electronic data interchange (EDI) integration using the Boomi Enterprise Platform.   Serving Fortune 500 enterprises worldwide, Mentor Media uses EDI as a core transaction mechanism for managing business-critical processes. Previously, the company’s integration processes were highly manual and fragmented. Staff had to build and maintain individual custom modules to connect disparate systems. There was no holistic visibility into these integrations, and the setup could not scale to meet market demands.   With increasing market demands to scale fast, Mentor Media needed a single, unified platform to manage end to end integrations, improve governance, and scale consistently across regions. With the Boomi Enterprise Platform, Mentor Media reduced system integration time from 21 months to under four months, enabling the company to deliver faster outcom...

Amazon Web Services (AWS) has announced new capabilities and tools to build AI agents. One key tool is  Amazon Bedrock AgentCore , which will allow customers to deploy and operate highly capable AI agents securely at scale. AgentCore is a set of services to deploy and operate AI agents using any framework and model. The challenge for AI adoption is building systems that can act autonomously across digital boundaries, while maintaining the security, reliability, and governance standards required for enterprise deployment.  AgentCore helps developers bridge the critical gap between proof of concept and production for AI agents. It delivers composable solutions that allows organisations to move agents from prototypes to applications that can scale to millions of end-users. Customers like Innovaccer, Boomi, Epsilon, and Box are already building with AgentCore , AWS said. Amazon Bedrock AgentCore services include: AgentCore Runtime : Agents need a runtime that's both s...

By Chris Koehler, CMO, Twilio AI has moved beyond the hype to become a vital part of how we work and live. In marketing, it’s rewriting the rules—from adaptive audience segmentation to predictive lead scoring and self- optimising campaigns that learn and improve with every click. AI empowers brands to move faster, act smarter, and build deeper customer relevance at scale. Take Trade Me , New Zealand’s largest online auction site. By using AI to anticipate user behaviours like bidding likelihood and purchase intent, they achieved a 20% lift in open rates and a 10% boost in click-throughs. When technology meets the right moment, the results speak for themselves. Automating routine tasks frees marketers to do what really matters: test, learn, and act on high-quality insights with speed and confidence. But AI’s impact goes beyond efficiency—it’s about making connections. When paired with rich data, AI enables marketers to move past shallow personalisation. It’s not just about adding a nam...

By Denis King, CEO, Solace Source: Solace. King. The modern enterprise is a marvel of digital complexity. Thousands of applications, potentially billions of data points, and increasingly intelligent agents making decisions at the edge of operations. But beneath this surface lies an architectural flaw that’s about to become impossible to ignore – enterprise integration is broken. For decades, businesses have relied on traditional approaches including APIs, batch jobs, and point-to-point integrations to stitch their systems together. These methods were passable when integration was about moving data between a few back-office systems on a predictable schedule. But with the advent of AI, that era is over. Today’s businesses demand more than data syncing and API orchestration. It requires real-time collaboration between people, applications, and now, increasingly, autonomous software agents powered by AI. And those agents, unlike legacy systems, don’t wait for a nightly batch job or ...

By Shayan Mohanty, Chief AI and Data Officer, Thoughtworks In today's technological landscape, organisations are grappling with a fundamental question: how do we truly measure the success of our AI investments? Leaders understand that defining and evaluating AI's impact isn't static, but dynamic, demanding continuous adaptation and strategic foresight.  Without a clear definition of what 'good' looks like, be it enhanced customer service, streamlined operations, or more accurate forecasts, any evaluation risks becoming arbitrary. At a strategic level, AI success can be categorised across several key dimensions:  - Performance and accuracy – ensuring models consistently meet defined benchmarks like precision and recall;  - Adaptability to real-world scenarios – assessing how AI systems perform in dynamic, unpredictable environments;  - Ethical behaviour and bias mitigation – proactively addressing potential biases to uphold fairness and inclusivity; and critically,...