Singapore’s IT leaders anticipate increased investment in generative AI over the next two years, despite facing significant data-related challenges. The inability to integrate new data sources seamlessly, fragmented data ownership, and insufficient AI/ML expertise are slowing AI adoption. However, most leaders recognize the importance of data streaming platforms in addressing these issues and achieving data-related goals.
Key points:
- 69% of Singapore’s IT leaders expect generative AI investments to increase
- Data integration, ownership, and skills gaps are major obstacles to AI adoption
- 82% view data streaming as a strategic or important IT investment priority
- 93% see data streaming platforms as critical for achieving data-related goals
The findings highlight the crucial role of real-time, high-quality data in maximizing AI’s value. As companies in Singapore and across the APAC region grapple with data challenges, investing in data streaming technologies emerges as a potential solution. This approach can help businesses overcome hurdles in data integration, governance, and quality, ultimately enabling more effective AI implementation and better decision-making.
