Structured Data and Clear Governance Key to AI Success for Philippine Enterprises

Philippine Businesses Must Prioritize Structured Data and Clear AI Governance

Philippine enterprises aiming to maximize their AI investments need to focus on reducing unnecessary data and establishing strong governance policies. These steps are essential to unlock real value from AI technologies.

Companies across Asia are aggressively hiring AI-skilled professionals and collaborating with external experts to accelerate AI adoption. For Philippine businesses, concentrating on clean data, transparent governance, and partnering with the right experts shortens the path to meaningful AI outcomes.

Data Challenges in the Region

Despite growing interest, many organizations still face challenges with scattered and unstructured data. In Asia, only about 30% of enterprise data is structured, and AI models generate accurate results only around 32% of the time. This inefficiency limits the ability to scale AI effectively.

Philippine companies need to invest in data preparation efforts, specifically targeting the reduction of redundant, obsolete, and trivial (ROT) data. Closing the digital skills gap through targeted recruitment and trusted partnerships is equally crucial.

Reskilling and Workforce Development

Beyond data, reskilling and upskilling employees are vital to applying AI in the most impactful ways. Organizations that combine improved data practices with active workforce training will position themselves to adopt AI more responsibly and at scale.

Economic Opportunity in ASEAN

A report by Boston Consulting Group projects that AI and generative AI could contribute around $120 billion to the combined GDP of six ASEAN countries by 2027. These include Indonesia, Malaysia, the Philippines, Singapore, Thailand, and Vietnam.

Enterprises that effectively structure and govern their data stand to capture the majority of this value, as organized data leads to more accurate and revenue-generating AI models.

Data Center Expansion in Southeast Asia

The rise of AI is fueling growth in Southeast Asia's data center market. ASEAN is expected to triple its data center capacity by 2027, adding approximately 2,100 megawatts.

However, success depends not only on capacity but also on data centers that prioritize interoperability, governance, sustainability, and performance to support AI workloads effectively.

Next Steps for Management and Product Leaders

• Prioritize cleaning and structuring enterprise data to reduce ROT data.
• Develop clear AI governance policies to ensure responsible AI use.
• Invest in reskilling and upskilling employees to leverage AI tools effectively.
• Partner with trusted AI talent and external experts to accelerate AI projects.
• Monitor data center developments to align infrastructure needs with AI goals.

For professionals looking to strengthen AI skills and governance strategies, exploring targeted AI training can provide practical tools and insights. More information on AI courses and certifications can be found at Complete AI Training.