TechTouch Asia

- 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...

Qlik has introduced Qlik Agentic Advisory , which is designed to help enterprises move from AI ambition to operational reality. Organisations typically have many ideas around AI applications, but often lack practical ways to determine which ideas matter most, shape them into execution-ready use cases, and define what it will take to operationalise them responsibly, Qlik observed. The gap is becoming more costly as executive teams push for measurable returns, clearer governance, and fewer false starts in AI investments. Qlik Agentic Advisory is designed to close that gap. The offering brings together Qlik’s proven advisory work across business adoption, data and AI governance, and operating model design with a more explicit agentic AI lens. Its distinct focus is helping customers crystallise and vet high-value agentic use cases before broader implementation work begins. Through a guided pre-work and discovery approach, the offering helps organisations move from rough ideas ...

- Poor data foundations are derailing AI ambitions: 90% have of organisations have seen modernisation failures, with data quality emerging as a consistent root cause - The cost of tech debt is rising: Organisations that fail to address tech debt will face 50% higher failure rates and rising costs for AI initiatives by 2027 - The Asia Pacific region's (APAC’s) AI leaders are achieving better business outcomes: AI leaders are generating 3x more digital revenue (71%) than mainstream peers (23%) by building on modern, AI-ready data platforms   An AI readiness gap is emerging across Asia Pacific, with legacy architecture cited as the primary barrier to AI success, according to IDC insights commissioned by MongoDB. According to IDC, 89% of APAC organisations acknowledge that technical debt is a major obstacle to modernisation.  The consultancy has predicted that organisations which fail to address technical debt will face 50% higher failure rates and rising costs for their AI ...

- Cloudera’s The Data Readiness Index has revealed a growing “AI readiness illusion”. In essence, widespread AI adoption is outpacing the data foundations required to deliver real business impact. - In the Asia-Pacific region (APAC), 85% of organisations claim to have complete visibility over where their data resides, but 38% struggle to use their data effectively due to complicated access requirements and processes.   Cloudera, the company bringing AI to data anywhere, has released its latest global survey, The Data Readiness Index: Understanding the Foundations for Successful AI, examining how prepared enterprises are to support AI at scale. Surveying nearly 1,300 global IT leaders, the report finds that while AI adoption is growing, most organisations still lack the data foundation needed for success. Source: Cloudera. Cover for the Data Readiness Index 2026 report.  The global findings highlight a paradox: while 96% of organisations report integrating AI into core bu...

Qlik has announced the 2026 Data Impact Award winners at its annual Qlik Connect event. The awards recognise organisations that have leveraged Qlik’s flexible solutions to deploy data and AI initiatives at scale, delivering measurable business impact.  “What stands out in this year’s winners is not the technology by itself, but the discipline behind it: trusted data, clear operational priorities, and systems that can scale,” said Mike Capone, CEO of Qlik. “That combination is what turns AI from a line item into a performance advantage .”  HelloFresh: AI Innovation Award Applied AI through predictive models powered by Qlik to detect delivery risks earlier and resolve issues before they impact the meal-kit experience. HelloFresh also strengthened cross-team execution by integrating Qlik with Snowflake and AWS S3, and used Qlik automations to remove manual, repetitive processes, reallocating five full-time employees to higher-value analysis and customer-centric initiatives. The...