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Mature data management is critical in ensuring enterprises are AI-ready

Mohan Krishnan
Mohan Krishnan • 5 min read
Mature data management is critical in ensuring enterprises are AI-ready
The imperative to automate and intelligently manage data operations is increasingly pronounced for those intending to use AI. Photo: Pexels
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As the world heads into 2024 with even more promises of revolutionary AI-driven transformation, enterprises are understandably eager to boost investments into artificial intelligence (AI) technologies. According to the International Data Corp, Asia Pacific’s spending on AI - including software, services and hardware for AI-centric systems - is projected to grow to US$78.4 billion in 2027. Perhaps unsurprisingly, other regional analysis into AI readiness has put Singapore in the number one spot, largely thanks to many AI-related initiatives that have been launched, combined with a conducive policy and business environment.

While economies in Asia Pacific (Apac) have made significant strides in prioritising AI adoption and recognising its potential impact on economic growth, there remains a crucial step towards maximising AI readiness. To fully harness the transformative power of AI, enterprises must acknowledge the necessity of a robust, scalable and hybrid data management platform that will efficiently handle the complexities of advanced AI solutions.

The journey towards AI readiness extends beyond the realm of infrastructure modernisation to encompass the integration of AI-powered solutions within the fabric of data management practices. As enterprises grapple with escalating data volumes and the proliferation of heterogeneous data sources, the imperative to automate and intelligently manage data operations becomes increasingly pronounced.

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