TechTouch Asia

- Dell AI Data Platform, the data foundation of the Dell AI Factory, expands with new data orchestration and storage capabilities  - Unified Semantic Layer and Enterprise Knowledge Graph give every application and agent the same trusted view of enterprise data   - Dell AI Data Platform shortens the wait between question and insight with accelerated data processing that processes data nearly 4x faster on average than CPUs alone    Dell Technologies has expanded the Dell AI Data Platform so AI systems deliver better answers, cost less to run and reach production faster, giving applications and agents trusted, current context from a company's own data.  According to Dell, the model isn't the bottleneck to achieving enterprise scale for AI in the majority of cases. The data is. A company's most useful information sits in files, databases, cloud services and systems across multiple sites. Most of it was created long before anyone expected an AI agent to read it. It ...

As AI adoption advances, businesses face a new challenge: deploying and managing AI across different workloads while balancing performance, cost, security, and governance. Against this backdrop, Indosat Ooredoo Hutchison (Indosat) and F5 have announced a partnership to expand access to enterprise AI through the Indosat Intelligence Suite. The platform provides a trusted and governed environment that simplifies how businesses access and deploy AI, without requiring them to build and manage complex infrastructure themselves. The Indosat Intelligence Suite builds on Indosat’s full-stack AI ecosystem in Indonesia, spanning energy, data centres, compute, connectivity, and AI models. Through its partnership with F5, Indosat is extending this foundation into an enterprise-ready platform that connects AI infrastructure and models with businesses across the region. The Indosat Intelligence Suite brings multiple AI models and infrastructure capabilities together through a single interface, givin...

By Frank Bignone, FPT Software SVP and Head of Corporate Strategy & Growth, FPT Corporation While the region is progressing on quantum, with initiatives such as Singapore’s National Quantum-Safe Network , recent data suggests a gap in readiness. A Ponemon study finds that only around a third of Singaporean organisations are actively preparing for post-quantum cryptography, a concerning downward trend from three years ago. This is despite the fact that half of security leaders expect a cryptographically-relevant quantum computer within five years. As a regional hub for finance, trade and digital services, Singapore's digital ecosystem increasingly spans regional and global networks. Its cryptographic perimeter extends beyond domestic systems into multi-jurisdiction supply chains, cross-border payment rails and third-party platforms operating under different regulatory timelines. This complexity makes it harder to map cryptographic dependencies and plan future migration efforts....

As enterprises require greater computing capacity for model training, inference and AI applications, AI infrastructure has become a concern. TechTrade Asia discussed the growing role of AI infrastructure with Bull Hsu, Director, Ubitus (BH): Q . Why is AI infrastructure becoming a strategic technology layer? BH : AI infrastructure is becoming increasingly important as organisations move from experimenting with AI to deploying it in real-world applications. Over the past year, we have seen a shift from asking whether AI can be used to recognising what it can actually do, from supporting software development to operating as an agent and interacting with systems.  As adoption grows, enterprises need greater GPU capacity and scalable computing environments, but they also need to consider latency, privacy and where their data is stored. This is driving greater interest in local and sovereign AI infrastructure, particularly among organisations that want to keep sensitive d...

Netio Technologies has more than 20 years of experience providing industrial-grade computing solutions for semiconductor manufacturing, industrial automation and smart city applications. TechTrade Asia spoke to Nina Lai, VP, Netio (NL), about scaling AI in ASEAN. Q : Why do successful AI pilots often struggle to scale across ASEAN markets? NL : An AI pilot can be successful in a specific environment, but scaling it across ASEAN is much more challenging because every market has different requirements. Language, data quality and regulatory environments can vary significantly from one country to another. A pilot may work well because it has been designed around a particular organisation's information, data and workflow. When you move that solution to another country, those underlying conditions can change. This means organisations need to look beyond the success of an individual pilot and consider how the underlying data, workflows and infrastructure can be adapted for different m...

- AIforce enables agents anywhere to reason and take action across all the data, workflows, and logic inside Salesforce - AIforce empowers anyone to build composable, intelligent, live interfaces, wherever work happens    Source: Salesforce. AIforce logo. Salesforce, the No. 1 AI customer relationship management (CRM), has unveiled  AIforce, a live interface layer that brings the full power of Salesforce to wherever people and agents work.  With AIforce, Salesforce is bringing all the enterprise knowledge inside Salesforce — the data, workflows, business logic, semantics, permissions, security, and governance that already run the business — to any AI interface. The result: Companies can unlock tremendous value from all the business knowledge already inside Salesforce, bring Salesforce ’s trusted context and governance into any agentic productivity tool, and drive new levels of growth and productivity. Much of a company’s knowledge already lives in Salesforce, b...