Artificial intelligence is rapidly expanding across the Asia-Pacific region, but a new report underscores that data readiness is the decisive factor in determining success or failure. According to Gartner, by 2026, 60% of AI projects will be abandoned due to a lack of AI-ready data, highlighting the importance of clean, structured, and accessible datasets.
In Singapore, where data governance regulations are stringent, poorly managed data can lead to compliance breaches, operational inefficiencies, and reputational damage. Experts argue that AI success depends less on algorithms and more on foundational data infrastructure. This includes digitizing analogue records, classifying structured, semi-structured, and unstructured data, and ensuring consistent quality across jurisdictions.
AI adoption in APAC is accelerating, growing at a 24% compound annual rate from 2023 to 2028. But organizations still face challenges aligning ambition with operational readiness. Many lack clearly defined KPIs, while employee adoption remains a hurdle—51% of businesses report resistance to new tools, and 21% struggle with integrating AI into existing workflows.
Key insights for technology leaders include:
- Data first: Digitization and classification of records are essential before AI tools can generate value.
- Governance critical: Strong data security and compliance frameworks protect against breaches and build trust.
- People matter: Workforce training, change management, and intuitive interfaces drive adoption and trust.
- Incremental AI: Targeting specific workflows for automation delivers measurable ROI without disrupting operations.
Canon Singapore’s Nick Katagiri emphasizes a structured approach—digitization, digitalization, and then transformation—as the roadmap for sustainable AI success. For multinational firms, consolidating disparate data into centralized, reliable platforms is key to unlocking insights.
The message is clear: AI initiatives thrive only when data, technology, and people are aligned, ensuring innovation is impactful, compliant, and future-ready.
Source:
https://www.itnews.asia/news/is-data-readiness-the-key-to-successful-ai-adoption-620721
