Ecosystm Connect: The Operational Backbone for AI-Driven Enterprises

AI is top of mind for enterprise leaders, but conversations often focus on potential rather than practical realities. Many organisations still face fragmented data across hybrid and multi-cloud environments, slow and siloed development pipelines, and manual, resource-intensive middle- and back-office workflows. Without addressing these operational foundations, AI initiatives risk underdelivering on efficiency, agility, and business impact.

“ Many organisations assume AI can simply be layered on top to solve every challenge, but in reality, data, processes, and operating models often aren’t ready. We need to rethink applications, workflows, business goals, and roles, not treat AI as just another tech project.” Head of Data & Innovation, Leading Singapore Bank

Ecosystm research finds that among Singaporean organisations:

• Just 11% can move data seamlessly across hybrid and multi-cloud environments
• 56% are working to enable AI and automation through shared data and workflows
• 58% are exploring ways to enhance AI use – including agentic AI – for IT operations

The data highlights that while AI is top of mind, many organisations are still building the foundations needed to make it truly effective. From unified data and streamlined development pipelines to smarter, integrated workflows, addressing these gaps is critical to unlocking AI’s full potential across the enterprise.

We invite you to this exclusive session to have a candid, grounded discussion on how to build the operational backbone for AI-driven growth. Powered by the Infocomm Media Development Authority (IMDA) 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:

• Cloud-Agnostic Data Foundations. Unifying data processing and analytics across hybrid and multi-cloud environments to enable scalable, AI-ready operations.
• AI Lifecycle Platforms. Enabling end-to-end development, deployment, and management of AI models with full control over infrastructure, minimising vendor lock-in.
• Integrated Dev-to-Ops. Streamlining application and AI lifecycles across environments to improve agility, reliability, and speed of deployment.
• Agentic Operations. Embedding AI agents into enterprise workflows to automate complex processes while enhancing efficiency, compliance, and risk management.

Join us to discuss challenges, share insights, and explore how your organisation can build a more connected, AI-driven operational foundation to accelerate business outcomes.