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Enterprise AI Starts with Enterprise Data: Unlocking the Overall Value of Oracle AI Database@AWS
For decades, Oracle databases have played an important role in supporting critical business processes. Today, organizations are looking at those same data assets through a different lens.
The priority extends beyond infrastructure modernization or moving another workload to the cloud.
Organizations increasingly need enterprise foundations that can support AI, analytics, automation, and innovation.
Oracle AI Database@AWS provides organizations with another way to modernize Oracle database workloads while taking advantage of AWS services, existing cloud investments, and expanding AI capabilities.
Organizations do not necessarily need to choose between Oracle database technology and AWS services. They can bring the two together as part of a broader multicloud strategy.
What Organizations Can Do Today
Cloud infrastructure is one part of a modern enterprise architecture. Organizations also need ways to connect enterprise data with AI and analytics services while helping minimize disruption to existing operations.
Oracle AI Database@AWS enables organizations to:
- Modernize Oracle workloads with fewer application changes
- Bring Oracle AI Database into AWS environments
- Use Oracle database capabilities alongside AWS services
- Build data foundations that support generative AI, analytics, and other AI initiatives
- Use Oracle Exadata and Oracle Real Application Clusters capabilities for workloads running in AWS
- Help streamline modernization while reducing implementation complexity
Oracle AI Database@AWS gives organizations another option for modernizing existing Oracle investments as part of their multicloud strategies.
Modernizing Oracle for the AI Era
Each enterprise's modernization journey is different.
Many organizations have spent years embedding sophisticated business logic directly into Oracle databases. Mission-critical applications may depend on stored procedures, PL/SQL, integrated workflows, and other Oracle technologies. These investments remain valuable as organizations modernize.
The challenge is determining how to evolve the technology environment while supporting business continuity and preparing data for AI and analytics. Oracle AI Database@AWS can help streamline modernization by allowing organizations to use Oracle database capabilities closer to applications and services running in AWS.
Organizations can continue using Oracle Exadata and Oracle Real Application Clusters capabilities while expanding access to AWS analytics, AI, automation, and developer services.
This approach can also give organizations additional deployment options as they address data sovereignty, regulatory, latency, and multicloud considerations.
Rather than treating modernization as a wholesale migration exercise, organizations can evaluate which environment is appropriate for each workload based on technical and business requirements.
Strategic Workload Placement Can Support Better Business Outcomes
Successful modernization is not simply a question of how many workloads move to the cloud. Organizations can instead consider how effectively each workload supports their broader business and technology objectives.
Questions may include:
- Which Oracle workloads are candidates for Oracle AI Database@AWS?
- Which workloads should remain on premises or in Oracle Cloud Infrastructure?
- Which applications benefit from remaining close to existing systems?
- How can enterprise data be used effectively across AWS, Oracle, and other cloud environments?
This workload placement strategy helps organizations enhance performance, reduce operational complexity, and accelerate AI adoption without unnecessary delays and disruptions.
It also acknowledges a practical reality that many enterprises can continue operating across multiple clouds, and success depends on keeping these environments in sync.
The Business Value of Oracle AI Database@AWS
Oracle AI Database@AWS can help organizations pursue benefits across several areas:
AI-Ready Enterprise Data
Oracle AI Database@AWS can help simplify the development of AI-enabled and intelligent applications. Organizations can take advantage of AWS services such as Amazon Bedrock, Amazon SageMaker, and Amazon Q Business alongside their Oracle data.
Faster Modernization
By modernizing existing Oracle environments with fewer application changes, organizations can help reduce the complexity and risk associated with major database migrations.
Infrastructure Flexibility
A Bring Your Own License (BYOL) model enables organizations to use existing Oracle licenses—without disrupting current AWS commitments and cloud investments. Oracle and IDC research shows that organizations can lower five-year cost of operations by as much as 48 percent across multiple Oracle workloads.
Resiliency
Oracle Exadata and Oracle Real Application Clusters provide availability, performance, and resiliency capabilities designed to support mission-critical enterprise applications.
Enterprise Data Foundation for AI
Organizations can use Oracle AI Database as part of an enterprise data foundation that supports AI, advanced analytics, intelligent automation, and evolving business requirements.
Why PwC
Technology decisions should begin with an understanding of business outcomes.
PwC helps organizations evaluate how Oracle AI Database@AWS can fit within a broader enterprise architecture—not simply as another migration destination, but as one component of a long-term modernization strategy.
Our approach centers on four capabilities:
Assess
Evaluate existing Oracle environments and identify where workloads may provide the greatest value across AWS, Oracle Cloud Infrastructure, and hybrid environments.
Modernize
Move strategic Oracle workloads with fewer disruptions while addressing performance, resiliency, operational continuity, and applicable regulatory considerations.
Optimize
Help identify opportunities to reduce infrastructure, licensing, and operating costs through strategic workload placement, architecture decisions, and multicloud operating models.
Innovate
Help establish an enterprise data foundation that can support AI, advanced analytics, automation, and future business initiatives.
PwC brings decades of Oracle experience together with expertise across AWS and other cloud platforms. As a result, PwC helps clients align technology investments with modernization priorities and desired business outcomes.
Looking Ahead
Oracle AI Database@AWS provides organizations with another option for connecting established Oracle investments with modern cloud and AI services.
Organizations can continue to derive value from existing Oracle data and applications while adopting architectures designed to support a modern enterprise foundation for AI and analytics.
Not sure where to start? PwC's Oracle AI Database@AWS assessment can help you identify which workloads may be candidates for modernization and help develop a roadmap aligned with your business, not just your infrastructure.
Modernize on AWS with PwC
Accelerate cloud modernization
Unlock value with PwC and Oracle
Drive smarter outcomes
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