Organisations have moved beyond AI experimentation and are now focused on realising value from their AI investments. Much of this value comes from embedding intelligence across processes, turning AI into a strategic driver of decisions, operations, and trust.
Yet a gap remains between intent and execution. Ecosystm research shows that among organisations in Singapore:
- 69% are looking to gain operational efficiencies from AI investments.
- Only 19% feel confident that they have the data consistency and integrity needed to embed AI across key workflows.
The future of enterprise AI isn’t about simply adding intelligence – it’s about making it a core part of how businesses operate. Organisations need automation, data platforms, responsible-by-design practices, and scalable infrastructure to enable smarter decisions, more agile operations, and trusted digital outcomes.
Navigating the AI landscape, however, can be challenging. Market fragmentation makes it difficult for tech leaders to separate meaningful innovation from the noise. IMDA’s Accreditation and Spark Programmes, supported by its rigorous evaluation framework, identify and validate tech startups and scaleups that deliver real enterprise impact. These trusted innovators help organisations boost productivity and scalability while reshaping industries both locally and globally.
At this exclusive session, we showcase these leading-edge innovators – equipped to help organisations tackle today’s challenges, turn insights into action, enhance efficiency, and strengthen security. Join us to explore practical applications, emerging capabilities, and strategies to make intelligence a core part of your business in 2026.
Theme 1: Data & AI Foundations – Enabling Intelligence at Scale
AI at scale depends on solid, reliable foundations. This includes the systems, processes, and frameworks that enable consistent, secure, and efficient deployment across the organisation. Strong foundations ensure AI can support operations, deliver predictable outcomes, and adapt as business needs evolve.
Theme 2: Applied Intelligence – Driving Impact and Value
AI delivers value when it informs decisions and improves outcomes. By embedding intelligence into workflows, organisations can generate actionable insights, boost efficiency, and achieve measurable results. AI becomes a practical tool for solving challenges, driving innovation, and supporting strategic priorities.
Don’t miss this opportunity to connect with innovators driving smarter decisions, operational agility, and digital trust at scale.
IMDA – The Infocomm Media Development Authority
IMDA Infocomm refers to the Infocomm Media Development Authority of Singapore, the government agency responsible for driving the nation’s digital transformation and fostering a vibrant digital economy and inclusive digital society. It works to develop a strong tech and media ecosystem by helping businesses integrate new technologies, ensuring all citizens are digitally skilled, and creating a safe online environment. IMDA collaborates with businesses, other countries, and universities to achieve its goals.
Amit Gupta
Founder & CEO, Ecosystm Group
Sash Mukherjee
VP Industry Insights, Ecosystm
Brijish Pandya
Director, Artificial Intelligence, Keppel
Tan Wee Keong
Deputy Director, Enterprise Ecosystem Development, IMDA
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Please see below some images and key takeaways.
At Ecosystm Connect, held in collaboration with IMDA, Singapore’s enterprise and innovation leaders came together to explore what it takes to move AI from experimentation to larger scale adoption.
Discussions focused on real tech leadership challenges: handling real-time, reliable data, ensuring secure access and compliance, scaling pilots into production, and embedding AI into core operations effectively.
What emerged during the panel and roundtables is that, even three years into the AI surge, employee awareness and leadership fluency remain major barriers to adoption. Ecosystm research identifies some of the gaps:
- 61% of organisations in Singapore have leadership sponsorship, but only 29% back this up with strategic action reflecting an understanding of AI’s complexity and accountability.
- 77% of organisations are concerned about AI readiness for the future, particularly around the skills of tech roles, business leaders, and other employees.
- 60% of organisations are under-investing in AI ambitions, which require complementary investments in infrastructure, skills, and governance.
Thank you to Tan Wee Keong, Dy Director at IMDA, for sharing his perspectives on how Singapore’s tech ecosystem is expanding and can be further developed; to Sash Mukherjee (Ecosystm) for research-backed insights on where organisations currently stand with AI adoption; to Brijesh Pandya (Keppel), Ian Low (Prudential plc), and Dr. Lily Rachmawati (BNP Paribas) for sharing their frontline experiences, challenges, and practical approaches to turning experimentation into operational success; and to Ecosystm leaders Achim Granzen, Manish Prakash, Parry Singh, and Chris White for facilitating engaging roundtables and discussions with innovators.
We would also like to thank the companies from IMDA’s Spark and Accreditation programmes – RisingWave, FeatureByte, Redis, Walled AI, Workato, Unique, Silent Eight, ELGO AI, and fileAI – for sharing their insights, innovations, and contributions to the conversation.
Singapore’s deliberate investments in infrastructure, regulation, and ecosystem are creating opportunities and events like this highlight where companies are ready, where gaps remain, and what’s needed to make AI truly operational.