TLDR: Hitachi Vantara emphasizes that Philippine enterprises must focus on structured data and robust governance policies to maximize their AI investments. The company highlights that a significant portion of enterprise data in Asia remains unstructured, hindering accurate AI model outputs. Investing in data preparation, reducing redundant data, and upskilling the workforce are crucial for successful and responsible AI adoption.
Hitachi Vantara is strongly advocating for Philippine businesses to prioritize structured data and establish clear governance policies to effectively adopt Artificial Intelligence (AI) and maximize their investments in the technology. According to Octavian Tanase, Chief Product Officer at Hitachi Vantara, many companies across Asia, including those in the Philippines, are grappling with fragmented and unorganized data. The company’s latest State of Data Infrastructure Survey reveals a concerning statistic: only 30% of enterprise data in Asia is structured, which directly impacts the accuracy of AI models, leading to reliable outputs only 32% of the time. This widespread issue of scattered data significantly impedes the ability of businesses to implement and scale AI solutions effectively.
To overcome these challenges, Hitachi Vantara recommends several key strategies for Philippine enterprises. Firstly, there is an urgent need to invest in comprehensive data preparation, which includes actively reducing “ROT” data—redundant, obsolete, and trivial information that clutters systems and compromises data quality. Secondly, addressing the digital skills gap is crucial, which can be achieved through targeted hiring of AI-relevant talent and engaging external experts. Thirdly, continuous workforce development, including reskilling and upskilling employees, is essential to ensure they can effectively utilize AI tools and identify optimal use cases. Tanase underscored this point, stating, “Enterprises that combine better data practices with proactive workforce development will be better positioned to adopt AI responsibly and at scale.” Furthermore, strengthening AI governance policies is paramount to ensure that AI is deployed ethically and responsibly within organizations.
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Hitachi Vantara’s insights come at a time when the economic potential of AI in the region is substantial. A report by Boston Consulting Group projects that AI and generative AI are expected to contribute approximately $120 billion to the Gross Domestic Product (GDP) of six ASEAN countries—Indonesia, Malaysia, the Philippines, Singapore, Thailand, and Vietnam—by 2027. Tanase highlighted the competitive advantage this presents, asserting, “The enterprises that succeed in structuring and governing their data will be the ones to capture the lion’s share of this value, because organized data directly translates into more accurate, revenue-generating AI models.” As a data management and storage firm, Hitachi Vantara aims to assist enterprises in accelerating their return on AI investments by focusing on these foundational elements: clean data, robust governance, and strategic partnerships.
