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Introduction

Asia-Pacific enterprises are opening up to database-as-a-service (DBaaS) propositions, and service providers like Oracle, with its autonomous database built using artificial intelligence (AI) and machine learning (ML), are beginning to reveal marquee customer wins. Embedded artificial intelligence (AI) and machine learning (ML) features are proving particularly attractive DBaaS differentiators, not only for the cost reductions that they deliver, but also for the ability to derive new business insights at speed.

Highlights

  • Oracle has gained early successes in the Asia-Pacific region on the merits of its autonomous database, which has helped reduce query time, allowing database managers to focus on other tasks.
  • Ovum's survey found interest in AI-based mining/search is high – nine out of 10 of Asian enterprises are considering a AI-based data mining/search solution.

Features and Benefits

  • Explores Oracle's key differentiators as a database-as-a-service provider with enterprise customers.
  • Evaluates the potential impact of machine learning-powered analytics features on human roles in the enterprise.

Key questions answered

  • What are the key strengths of and opportunities for Oracle's autonomous database?
  • How has Oracle's autonomous database progressed in Asia?

Table of contents

Ovum view

  • Summary
  • Oracle wins big-name Asian DBaaS clients
  • Self-driving databases could flip the cloud market
  • Enterprises need to eliminate data silos

Appendix

  • Further reading
  • Author

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