Already using Oracle Analytics Cloud and looking to expand adoption, explore the latest capabilities, or turn business ideas into practical analytics and AI use cases?
ADAPT — AI & DV Adoption Program and Transformation is a CEAL-led, hands-on engagement designed specifically for existing Oracle Analytics Cloud customers.
ADAPT helps business, analytics, and technology teams apply the latest OAC Data Visualization, AI Assistant, AI Agent, and MCP capabilities to real business needs. The program combines practical enablement with enterprise security, governance, and responsible-AI best practices.
Rather than focusing only on product demonstrations, CEAL specialists work directly with your team to identify a meaningful use case, assess readiness, build and validate scenarios using your own data and business context, and define a practical path for broader adoption.
Adopt with confidence. Transform with impact.
👤 Who Should Participate?
ADAPT is ideal for existing OAC customers who want to:
✅ Increase Data Visualization and AI adoption
✅ Explore and apply the latest OAC capabilities
✅ Identify practical use cases for AI Assistant and AI Agents
✅ Improve self-service analytics and business-user adoption
✅ Validate analytics and AI scenarios using their own data
✅ Review data, semantic-model, and AI readiness
✅ Apply secure, governed, and responsible generative AI practices
✅ Extend governed OAC analytics through MCP-enabled tools, applications, and agents
Note: ADAPT is intended for customers already using Oracle Analytics Cloud. Customers who are new to OAC or at the beginning of implementation may be better suited to the Oracle Analytics Cloud FastTrack Program.
🧭 ADAPT Engagement Overview
🎯 Discovery and Use-Case Alignment
Work with CEAL specialists to identify a high-value business or analytics use case aligned with your priorities, challenges, and expected outcomes.
📊 Data Visualization Enablement
Explore the latest OAC Data Visualization capabilities and learn how to create richer, more interactive, reusable, and business-focused analytics experiences.
Topics may include:
- Interactive dashboards and workbooks
- Advanced visualizations and analytical calculations
- Self-service analytics
- Reusable analytics components
- Filters and data actions
- Time-series and trend analysis
- Authoring and usability best practices
🧩 Data, Semantic, and AI Readiness
Review whether your analytics environment is prepared for effective AI adoption.
Areas may include:
- Dataset and subject-area readiness
- Business definitions and metric consistency
- Synonyms and metadata descriptions
- Date and filter behavior
- Semantic-model alignment
- Security and permissions
- AI indexing and content readiness
✨ AI Assistant Exploration
Learn how AI Assistant can help users:
- Ask questions in natural language
- Explore governed enterprise data
- Generate and refine visualizations
- Identify trends, patterns, and outliers
- Accelerate workbook authoring and analysis
🤖 AI Agent Enablement
Explore how AI Agents can provide domain-specific experiences by combining governed analytical data with business instructions and private organizational knowledge.
Your team can learn how to:
- Apply business-specific definitions and guidance
- Use custom instructions to improve relevance
- Add policies, reports, procedures, objectives, and reference documents
- Use Retrieval-Augmented Generation to enrich responses
- Deliver more contextual and actionable analytical insights
🔗 MCP and Connected AI
Understand how the OAC MCP Server can securely connect governed analytics with approved external AI clients, applications, agents, and automation tools while preserving access controls and row-level security.
🔐 Security, Governance, and Responsible AI
Apply proven practices for:
- Role-based access
- Row-level security
- Data access and permissions
- Private business knowledge
- AI governance
- Responsible-AI usage
- Regulatory and data-residency considerations
🚀 Adoption Roadmap
Receive tailored recommendations for moving from exploration to continued adoption.
The roadmap may include:
- Prioritized use cases
- Data and semantic-readiness actions
- User enablement recommendations
- Prototype or pilot next steps
- Governance requirements
- Product enhancement requests
🌟 Why Participate in ADAPT?
Through focused, hands-on sessions with CEAL specialists, your team can:
- Realize more value from its existing OAC investment
- Increase Data Visualization and AI adoption
- Apply the latest OAC capabilities to real business needs
- Build and validate scenarios using your own data
- Improve data, semantic-model, and AI readiness
- Use AI Assistant and AI Agents more effectively
- Enrich AI Agent experiences with private business knowledge
- Apply security, governance, privacy, and responsible-AI best practices
- Explore secure MCP connectivity
- Build confidence and define a practical adoption roadmap
🏢 The Enterprise AI Advantage with OAC
Enterprise-Grounded AI
OAC AI works with governed enterprise analytics data and semantic context, helping responses reflect established business definitions, metrics, calculations, relationships, permissions, and security rules.
Private Knowledge Enabled
AI Agents can enrich analytical responses with private organizational content through Retrieval-Augmented Generation, including information that may not reside in the analytical model.
MCP-Ready Connectivity
OAC MCP Server enables approved external AI agents, applications, and automation tools to discover and query governed analytics content while continuing to enforce OAC access controls.
Trusted enterprise data. Private business knowledge. Governed AI connectivity.
📩 How to Express Interest
To discuss an ADAPT engagement, email:
ravi.bhuma@oracle.com
manpreet.shahi@oracle.com
Suggested subject:
ADAPT Program Request – [Company Name]
Please include:
- Company name
- Region and country
- Current OAC environment and usage
- Primary business or analytics objective
- Data Visualization or AI capabilities of interest
- Key business and technical participants
- Known security, governance, or regulatory requirements
- Preferred meeting times and time zone
🎯 Program Leadership
ADAPT is led by Ravi Bhuma from the Oracle Analytics Customer Excellence Advocacy Lead (CEAL) team, with support from other CEAL specialists who provide hands-on guidance, practical recommendations, and continued engagement.
📅 Ready to Get Started?
Bring a real business challenge and work with CEAL specialists to explore, build, and validate what is possible with Oracle Analytics Cloud.
Bring a business use case. Build with your data. Enrich it with your knowledge. Expand OAC adoption with confidence.
Contact the CEAL team to begin your ADAPT engagement.
