But how do we ensure that the data we collect, store, and use is secure and in compliance with regulations?

Ecosystm research finds that in Singapore:

• More than 40% of organisations will revisit their data and AI strategy in 2023, particularly to improve employee productivity and promote innovation
• Nearly 60% of technology leaders assume that their organisations will get breached
• 78% of these leaders feel that there is limited understanding of risks, leading to a lack of data governance and internal policies

Discovering, observing, and monitoring data remain a major challenge. Traditional data governance often fails as complexity drives poor behaviours. And as organisations build out their AI algorithms and capabilities, it is important to be able to govern the AI to deliver trusted outcomes.

At the same time, with the tight employment market and hiring freezes, access to the right skills to manage and govern data, and create the data-driven outcomes, become challenging.

It is time to think of innovative solutions to simplify governance, reduce risk, and turn data into a valuable asset.

Join us and your industry peers to discuss:

• How data observability can be improved, meeting AI governance requirements
• Overcoming skills challenges to create data-driven outcomes
• The potential of low/no-code solutions to empower the business and drive value creation