Oracle’s Wu Chengyang: Generative AI Struggles to Land, Lack of AI-Centric Application Development Architecture is Key
By [Your Name], SeniorJournalist and Editor
Oracle, a company known for its database and cloud solutions, is increasingly focusing on integrating cloud, AI, and data. Cloud,artificial intelligence, and data, organically combining them, that’s what Oracle is doing, said Wu Chengyang, Vice President and Managing Director of Oracle China.This statement, made at Oracle’s recent global cloud conference, highlights the company’s commitment to these key technology areas. Oracle is already seeing success with its AI solutions, with examples like BNP Paribas using AI models on Oracle Exadataprivate cloud to enhance business operations and cybersecurity.
Multi-Cloud: More Than Just a Technical Issue
Wu Chengyang emphasizes that multi-cloud is a fundamental user requirement, akin to users choosing multiple databases. He believes that thereluctance of some cloud providers to embrace multi-cloud is more about their own intentions than technical limitations. Oracle has taken a proactive approach to multi-cloud, offering two key strategies:
- Oracle Database Services on Other Clouds: Oracle database services are now available on Google Cloud, AWS, and Microsoft Azure. This allowsbusinesses that rely on Oracle for core applications but prefer AWS, GCP, or other infrastructure to seamlessly integrate their systems, eliminating the need for complex network connections and reducing latency.
- Oracle Database on Azure and Google Cloud: Oracle Database@Azure is currently available in six Azure data centers and will soon be launched in 15 more regions. Oracle Database@Google Cloud is fully deployed in four Google Cloud regions across the US and Europe. Users can now run Oracle Exadata Database Service, Oracle Autonomous Database, and Oracle Database Zero Data Loss Autonomous Recovery Service on OCI within specific Google Cloud data centers.
Addressing the Generative AI Gap
While acknowledging the hype surrounding generative AI, Wu Chengyang points out a significant challenge: the lack of an AI-centric application development architecture. This lack of infrastructure hinders the widespread adoption of generative AI solutions. He emphasizes that the key to successful AI implementation lies in building a robust foundation that supports the development and deployment of AI-powered applications.
Conclusion
Oracle’s focus on integrating cloud, AI, and data, coupled with its multi-cloud strategy, positions the company as a key player in the evolving technological landscape. However, Wu Chengyang’s insights highlight the need for a more comprehensive approach to AI development, particularly in the contextof generative AI. The development of an AI-centric application development architecture is crucial to bridge the gap between potential and practical application, paving the way for widespread adoption of generative AI solutions.
References
- Oracle Global Cloud Conference 2024
- InfoQ Article: Oracle’s Wu Chengyang: Generative AI Struggles to Land, Lack of AI-Centric Application Development Architecture is Key
- Oracle Website
- Google Cloud Website
- AWS Website
- Microsoft Azure Website
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