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
What’s next for the tech industry in 2026? From sovereign AI and the global compute race to agentic systems transforming how work gets done, 2026 won’t be defined by more AI – it will be
The foundations of New Zealand’s past and its culture of experimentation have set the stage, but 2026 will test which organisations can scale, govern responsibly, and leverage emerging technologies effectively. Policy, AI, and workforce shifts
In 2026, many organisations will have agentic AI – with direct access to critical data – operating as a non-human workforce, demanding controls beyond traditional oversight. The primary risk lies in Identity and Access Management,
AI has firmly become a strategic imperative, transforming decisions, work, and competitiveness. Yet tech and business leaders often struggle to navigate the rapid pace of innovation, emerging players, and enterprise providers layering new features –
AI adoption is accelerating, but infrastructure is becoming the bottleneck. Legacy data centres, fragmented cloud estates, and years of technical debt are slowing innovation, inflating costs, and amplifying risk. Time-critical workloads – fraud detection, trading,
Ecosystm, in partnership with Kyndryl and Microsoft, presents the findings of the 3rd edition of the Global Sustainability Barometer Study. This year the research takes a deeper look at how organisations are using AI to
Ecosystm, in collaboration with Red Hat and supported by the National AI Office Malaysia (NAIO), has released a new study exploring Malaysia’s ambition to become an artificial intelligence (AI) leader. The whitepaper, Accelerating SME AI
AI is reshaping business faster than ever, moving from hype to a boardroom must-have. Yet, many organisations struggle with strategy, data readiness, and scaling impact. Authored by Sash Mukherjee, this eBook in partnership with Snowflake,
Artificial Intelligence has become synonymous with efficiency and innovation. Enterprises are leveraging AI to automate repetitive tasks, optimise decision-making, and accelerate productivity. Yet as adoption scales, a paradox is emerging: automation is creating new challenges
The Voice of Customer (VoC) market continues to evolve, often driven by technological advancements as well as M&As. Medallia, Qualtrics, and InMoment are the three major VoC players in the enterprise segment globally and locally
In my last Ecosystm Insights, I spoke about why organisations need to think about the Voice of the Customer (VoC) quite literally. Organisations need to listen to what their customers are telling them – not
Customer feedback is at the heart of Customer Experience (CX). But it’s changing. What we consider customer feedback, how we collect and analyse it, and how we act on it is changing. Today, an estimated
India’s digital landscape is at a turning point. Some organisations have robust infrastructure, skilled teams, and established innovation practices, while many still face gaps in technology, talent, and regulatory clarity. AI, cloud, and other emerging
AI is playing an increasing role in cybersecurity and enterprise operations, but CISOs face a practical reality: tools alone don’t reduce risk or deliver value. What counts is where AI is applied, how it’s governed,
By now, enterprise leaders understand how AI is reshaping work, customer decision-making, and competitive dynamics. In 2026, the focus must shift to delivering practical, measurable impact while safeguarding trust, skills, and operational resilience. This guide
As AI moves into core systems and handles more sensitive data, sovereignty and data governance are becoming board-level concerns. New Zealand’s AI strategy encourages the use of global models, but that introduces real questions around
AI is transforming enterprise technology at unprecedented speed. Agentic AI platforms are automating complex workflows, while domain-specific and edge AI are scaling rapidly. CIOs must navigate these opportunities alongside new responsibilities for sovereignty, governance, data
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
Cybersecurity is entering a new phase, shaped by autonomous AI agents, expanding digital supply chains, and rising expectations of trust. In 2026, organisations will need to move beyond traditional controls to manage identity, access, and
AI is moving from promise to measurable impact. In 2026, organisations that align strategy, infrastructure, trust, and workforce readiness will drive real value from AI rather than chase endless experimentation. Discover the key enterprise AI
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
What’s next for the tech industry in 2026? From sovereign AI and the global compute race to agentic systems transforming how work gets done, 2026 won’t be defined by more AI – it will be
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
Strategic support for business planning, go-to-market activities, thought-leadership, and management consulting for digital transformation.
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