As AI becomes central to business strategy, organisations must ensure their data is prepared to support intelligent, real-time decision-making. Without robust data management, governance, and integration, AI initiatives risk underdelivering.
In Singapore, many organisations face fragmented data access, inconsistent quality, and regulatory compliance challenges, all of which constrain the effectiveness of AI applications.
“Our biggest AI challenge is understanding what data exists, what data is accessible, and what data is relevant.”
HEAD OF AI CENTRE OF EXCELLENCE, INSURANCE PROVIDER, SINGAPORE
Ecosystm research finds that among Singaporean organisations:
- 64% struggle with accessing critical data needed for digital services and AI systems.
- 65% are unsure of meeting data compliance requirements, even when they identify the right data for these solutions.
These gaps directly impact the ability to deploy AI initiatives that are both scalable and responsible. To overcome these hurdles, organisations need to establish strong data foundations, implement memory-optimised AI layers for high-performance applications, adopt API-driven integration for flexible connectivity, and embed governance and visibility frameworks to maintain compliance and operational control.
Join us for this exclusive, invitation-only discussion, supported by the Infocomm Media Development Authority (IMDA)’s Accreditation and Spark programmes. This is an excellent opportunity for enterprise technology and data leaders to engage in a peer-to-peer conversation on overcoming these challenges and driving AI-powered growth, fuelled by Singapore’s innovative ecosystem.
The key topics of discussion will include:
- Data Foundations. Ensuring accessibility, quality, and compliance across multiple datasets.
- Memory-Optimised AI. Accelerating application performance to deliver real-time insights.
- API Integration. Enabling truly secure, scalable, and flexible connectivity across systems.
- Governance & Visibility. Monitoring, tracing, and maintaining control over AI and digital operations.
Join us to explore practical strategies, share insights, and discuss how to turn your data into the engine of intelligent, scalable AI initiatives.

IMDA
IMDA is the Infocomm Media Development Authority, a statutory board of the Singapore government that drives the nation’s digital transformation by building digital infrastructure, fostering innovation, and regulating the infocomm and media sectors. It acts as an economic developer, regulator, and social leveller to build Singapore into a global digital metropolis. Key functions include promoting data protection through the Personal Data Protection Commission (PDPC), developing a skilled digital workforce, and ensuring a trusted digital ecosystem.
Sash Mukherjee
VP Industry Insights, Ecosystm
This event has already concluded.
Please see below some images and key takeaways.
⮞ AI adoption succeeds when organisations shift focus from isolated use cases to measurable business impact, guided by a centralised yet federated AI Centre of Excellence that balances standard governance with business-unit flexibility.
⮞ Modern AI demands a data layer that scales globally, stays always-on, and powers real-time intelligence; legacy systems simply can’t keep up with the speed of digital-first growth.
⮞ In the age of intelligent systems, instant access to accurate data defines competitiveness; real-time performance is now the foundation of meaningful AI outcomes.
⮞ As enterprises scale digital ecosystems, managing data flows securely and consistently across APIs, microservices, and AI workloads becomes the backbone of governance, trust, and agility.
⮞ Tech leaders encounter new solutions and vendors every day. What sets a provider apart is their willingness to co-create with organisations and deliver practical, tailored solutions to real business challenges.
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