TechTouch Asia

- UiPath and Databricks connect enterprise data intelligence with agentic automation - New agentic-led software testing capability through Deloitte’s ASCEND delivery platform Agentic business orchestration provider UiPath is now a Databricks validated technology partner. The partnership introduces tailored integrations designed to bring intelligence, automation, and AI together to power the next generation of intelligent business operations.  Organisations often struggle to translate data insights into measurable business outcomes due to fragmented systems and disconnected workflows, UiPath explained. By combining trusted data, AI-driven reasoning, and automation, organisations can improve decision-making speed, increase operational efficiency, and scale AI adoption across the enterprise, UiPath said. The integrations connect the UiPath Platform with the Databricks platform, enabling enterprises to move from data insights to automated action within business pr...

- Kbank becomes the first Internet-only bank in Korea to adopt bank-grade asset infrastructure, advancing Blockchain capabilities across Korea’s regulated financial sector. Kbank, Korea’s first Internet-only bank, is to deploy institutional digital asset wallet infrastructure through Ripple Custody , enabling secure, scalable management of digital assets within a regulated banking environment. Source: Ripple. Choi Woo-hyung, CEO of Kbank (left), with Fiona Murray, MD, Asia Pacific at Ripple (right). Kbank is Korea's most crypto-native bank and exclusive banking partner to some of the country’s largest digital asset exchanges. It is expanding its institutional digital asset capabilities through multi-party computation-based wallet infrastructure designed to securely manage assets across multiple Blockchain networks.  Ripple Custody enables fast wallet provisioning, high-speed transaction signing, and scalable digital asset management, purpose-built for regulated financial institut...

CALB, a Chinese manufacturer and supplier of lithium-ion batteries and the recipient of the 2025 Cloudera Data Impact award for Open Data Lakehouse and Iceberg Innovation , has powered its next-level smart manufacturing push with Cloudera. As the third-largest electronic vehicle (EV) battery manufacturer in China and the fourth-largest EV battery manufacturer globally, CALB is a major player in the industry, with clients such as Changan, Geely, and Guangzhou Automobile Group (GAC), among others. The leading EV battery manufacturer and supplier has experienced strong year-over-year growth supported by smart manufacturing initiatives built on Cloudera’s Open Data Lakehouse with Apache Iceberg, but wanted to improve the production and security of its EV battery manufacturing further.  CALB planned to improve manufacturing efficiency and lay the groundwork for a next-generation Iceberg lakehouse, establishing a solid technical foundation for future AI and data platforms...

By Matthew Oostveen, VP & CTO, Asia Pacific & Japan, Everpure Source: Everpure. Oostveen. We have entered the era of fully automated, AI-generated ransomware that probes systems 24x7 at an unprecedented speed and scale. According to Crowdstrike’s 2026 Global Threat report, in 2025 there was an 89% increase in attacks by AI-enabled adversaries year-over-year, with the average breakout time - the time it takes an attacker to move from the initial entry point to deeper into the system - falling to just 29 minutes. This is a 65% increase in speed from 2024. "Vibe hacking"- the use of large language models (LLMs) to automate and scale intrusions - has created a stark digital divide. On one side are organisations whose systems have kept pace with AI-enabled threats. On the other are those still treating backup as a legacy insurance policy rather than a strategic differentiator. For the modern global enterprise, the conversation must evolve from simple data protection to t...

- Microsoft introduces Frontier Success Framework to help organisations scale agentic AI with trust and governance At the Microsoft AI Tour in Hong Kong earlier in April, Microsoft introduced the concept of  Frontier Success : where AI agents become part of everyday operations, delivering real business impact with trust and governance built in. The company emphasised that Frontier Success is not a single milestone, but a continuous transformation—one that requires clarity of purpose, strong governance, and real-world execution. Source: Microsoft. Judson Althoff, CEO of Microsoft’s Commercial Business, delivered a keynote at the Microsoft AI Tour in Hong Kong, outlining Microsoft’s Frontier Success Framework and how agentic AI is moving from experimentation to enterprise‑wide impact. “Across Hong Kong, organisations are rethinking how work gets done with agentic AI—moving beyond experimentation to running operations at scale,” said Judson Althoff, CEO of Microsoft’s Comme...

- Strategic collaborations with Accenture and Amadeus to advance AI-ready transformation   - New foundation layer to power the evolution of AI concierge Cubby from travel companion to personal travel agent   The Ascott, the wholly-owned lodging business unit of CapitaLand Investment (CLI), has announced a push into AI-ready infrastructure to position itself at the forefront of agentic commerce. The move was made as intelligent agents increasingly take over how travellers plan and book their stays.  Collaborations with Accenture and Amadeus will advance this AI-ready transformation across digital architecture and distribution capabilities, the company said.  Kevin Goh, CEO, Ascott said: “Distribution shifts, labour pressures and rising guest expectations are reshaping hospitality. While AI is already helping Ascott make meaningful strides across commercial and operational functions, the bigger opportunity lies in what comes next.  "Instead of waiting to see how a...

- Nearly one in 20 AI requests fail in production as capacity limits become the primary bottleneck to scaling AI reliably Operational complexity is becoming the primary barrier to reliable AI at scale, according to new data from Datadog, the AI-powered observability and security platform. Datadog’s State of AI Engineering 2026 report*, based on real-world data from thousands of organisations running AI in production, has found that nearly seven in 10 companies (69%) now use three or more models alongside increasingly complex agent workflows.  Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits – leading to slowdowns, errors, and broken experiences in AI-powered applications. Source: Datadog. Key visual for the State of AI Engineering 2026 report. Report highlights include: - Multiple large language models (LLMs) are now the norm: OpenAI remains the most widely-used provider at 63% share, alongside rising adoption of Googl...