Insights

AI in Indonesia: Strengthening the Foundations for Enterprise Adoption

Indonesia is building the foundations for AI across a geographically complex and rapidly digitising economy. But enterprise adoption is moving at a different pace.

Rewiring Enterprise Applications AI Driven Execution

Many enterprise applications were designed to record and manage work. Today’s priorities demand something different. As organisations embed AI into business processes, applications must support faster decisions, coordinated execution, and greater operational visibility. Here is what you need to know about the forces reshaping enterprise applications.

Infrastructure Rewired: From Capacity to Coherence

The conversation around infrastructure is shifting from capacity to coherence. Here is what you need to know about the infrastructure trends emerging across Asia Pacific.

How Shadow AI Manifests Across Tools Systems

Where are the biggest Shadow AI risks coming from? Explore here.

Report: Structural Constraints in India’s AI & Deep Tech Ecosystem

The factors that are likely to accelerate India’s shift from a participant to an owner in the deep-tech ecosystem.

Banking in Asia Pacific: Faster Systems, Higher Stakes, New Risk Dynamics

From payments to risk management, banks are reworking the foundations of their business for a more complex operating environment.

IBM Think Leader Insights: Building the AI-First Enterprise

Large language models have shaped the first wave of enterprise AI, but they are not the optimal choice for every application. This report authored by Ecosystm Principal Advisor Darian Bird examines why small language models are becoming an important part of enterprise AI architectures.

Australia Google Cloud Summit 2026: Highlights From Sydney

The 2026 Google Cloud Summit and Analyst Connect in Sydney highlighted a shift in how competitive advantage is being framed in the cloud market. Here are the 5 key takeaways.

Report: Right-Sizing Enterprise AI: The Rise of Small Language Models

Large language models have shaped the first wave of enterprise AI, but they are not the optimal choice for every application. This report authored by Ecosystm Principal Advisor Darian Bird examines why small language models are becoming an important part of enterprise AI architectures.

Modernising the Banking Core: Commonwealth Bank of Australia’s Banking Platform Re-architecture

Discover how Commonwealth Bank modernised its core platform to boost resilience, innovation, and AI-ready banking capabilities.

Report: AI in Practice: How Malaysia’s Banks & DFIs are Adopting and Governing AI

Discover how Malaysia's financial institutions are scaling AI, strengthening governance, and building the capabilities needed to move from experimentation to enterprise-wide adoption.

Report: Data Readiness for AI: Building the Foundation for Enterprise Scale AI

AI is accelerating cyber threats and shrinking response windows, forcing organisations to rethink security models built for a slower-paced threat landscape.

Ground Realities: Rewiring Enterprise Applications for AI-Driven Execution

Enterprise applications are undergoing a shift that is often described as “AI adoption” but is in fact a structural change in what enterprise software is expected to deliver.

AI In Healthcare: From Early Leadership To System-Wide Integration

AI in healthcare is scaling from pilots to system-wide care delivery across Asia Pacific.

Infrastructure Rewired: From Capacity to Coherence

This blog looks at how AI demand is driving new infrastructure strategies in Asia Pacific.

Shifting Trends in Data Governance: Sovereignty & AI

Data governance has traditionally sat within policy, compliance, and risk functions. That separation is becoming harder to maintain. Governance is moving closer to how data platforms, AI systems, and infrastructure are designed and operated.

Building AI on Sensitive Data: Privacy-Preserving Approaches

How organisations can train and scale AI when data is sensitive, restricted, and cannot be freely shared or used.

Bridging the AI Gap: Why Data & IT Leadership Are Converging

Why AI is bringing data and IT teams closer together

2026 Tech Trends: What Business Leaders Need to Know

This guide outlines the leadership priorities shaping the year ahead and the practical shifts executives must make to align strategy, workforce, and operations in an AI-driven enterprise.

2026 Tech Trends: CIO Playbook

This guide highlights the trends and practical takeaways to help CIOs drive innovation and informed decisions in 2026.

New Zealand Tech Trends 2026

New Zealand’s history of AI experimentation has built strong foundations; but 2026 calls for scaling with purpose. Success will depend on aligning all stakeholders – from government bodies managing AI governance to startups sharpening commercial discipline – around a clear, unified vision.

Ecosystm Predicts: Resilience: Top 5 Cyber Trends for 2026

Explore Ecosystm’s top forecasts for 2026 and prepare for a year where resilience, governance, and trust become core business priorities.

Ecosystm Predicts: Intelligence: Top 5 Enterprise AI Trends for 2026

Discover the key enterprise AI trends shaping the tech landscape in 2026, and what’s changing, why it matters, and how leaders need to prepare.

Ecosystm Predicts: Foundations: Top 5 Infra Trends for 2026

Infrastructure will shape who leads and who lags in 2026. Growing AI demands are exposing the limits of legacy systems, siloed data, and energy capacity, forcing organisations and governments to strengthen their core foundations. Discover the top infrastructure trends shaping the tech landscape in 2026 and what leaders need to prioritise.

Ecosystm Podcast Episode 37- Insights from Shayan Hazir (HSBC)

Join us for an enlightening conversation with Shayan Hazir, Chief Digital Officer, ASEAN at HSBC, and Sash Mukherjee, VP of Industry Insights at Ecosystm, as they explore the profound impact of Technology on the financial landscape. In this comprehensive discussion, Shayan sheds light on the shape of innovation in today’s tech-centric world and the challenges […]

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