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Availability of all Fusion Sourcing BICC Extract PVO for FDI Sourcing
As per Oracle recommendation we need to use only BICC extract PVO for FDI Augmentation - Currently we do not have BICC Extract PVO for all Fusion Sourcing and Negotiation tables for FDI Augmentation. Customers need a precise list of BICC Extract PVO for all Modules and ETA for the same to customize as per Business needs
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Audit Log - Download Option
Currently administrators are able to view activity within the platform, such as SCHEMA and CATALOG creation COMPUTE, WORKSPACE_FILE updates etc, but are currently unable to export these audit logs. Having functionality to export audit logs would significantly improve transparency, governance, and troubleshooting…
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Oracle APEX Integration with Oracle AI Data Platform for Building AI-Powered Applications
Organizations increasingly want to build AI-enabled enterprise applications using Oracle AI Data Platform for data processing, model development, and AI pipelines. At the same time, many developers use Oracle APEX as a low-code platform to quickly build business applications. Currently, integrating Oracle APEX applications…
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Creation of out of the box security contexts for data access set in Fusion Data Intelligence
In FDI, there are security contexts that are a component of providing users data security. Out of the box security contexts (e.g., Ledgers) are available, and you are able to create custom security contexts. To align with data access available in ERP, we request the creation of out of the box security contexts for data…
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Integrate Oracle Analytics in the UI/UX of AIDP for better productivity
Use Case: as of now, I need to logon into AIDP, create dataset, use data sharing and then logon into Oracle Analytics Cloud to create visualizations. It would be good to directly integrate the catalog of Oracle Analytics or DV directly inside the AIDP. The benefits are: Seamless integration, faster to access catalog items,…
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Data flow should support AIDP standard catalog access
Overview Oracle AIDP provides a managed Spark runtime and a standard catalog for organizing enterprise data assets such as tables and volumes. Oracle Data Flow, in contrast, operates as an ephemeral job cluster that spins up Spark resources on demand to execute customer workloads. Today, Data Flow jobs cannot leverage the…
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Support OCI DevOps integration for CI/CD in Oracle AI Data Platform
With Git support now planned for AIDP, as referenced here: https://community.oracle.com/products/oracleanalytics/discussion/27407/git-support , the next logical step is OCI DevOps integration so teams can implement full CI/CD for AIDP assets and configurations. This should include support for source-triggered build…
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Use Case Driven Model Guidance
Problem AI Data Platform currently exposes multiple foundation models (e.g. OpenAI, Cohere, Meta Llama), but users are largely left to determine which model is most appropriate for a given task. This can lead users to follow a trial-and-error approach, resulting in inconsistent results and unnecessary cost. Model selection…
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Equivalent of DBMS_SHARE APIs for AIDP's delta sharing functionality
Within ADW extensive programmatic APIs exist to support management and creation of shares through the DBMS_SHARE API DBMS_SHARE Package. This allows you to utilize things like APEX, or ORDS, to expose the management of shares to applications and extensions. Having similar functionality would facilitate automation and…
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Preview feature for excel, csv, text files in Volumes, Tables
It will be good if we can preview the file within the UI interface if the file format is in excel, csv, text files in Volumes, Tables
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Support DDLs in External Catalogs
Currently, in order to write data to an external catalog configured in AIDP, there needs to be a pre-existing table defined in the target database (i.e. DDL operations are not supported in configured external catalogs through spark API). This creates some inefficiencies in managing your gold layer, since some type of step…
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AI Workflow Marketplace for Oracle AI Data Platform
Description Introduce a marketplace within the AI Data Platform where users can share and access reusable workflows such as data pipelines, MLOps templates and agent configurations. Include ratings, versioning and Oracle-certified options for quick deployment. Business Value Speeds up delivery by reusing proven workflows,…
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Support Delta Share Consumption Configurable as a Managed Catalog Schema
Currently the primary way to consume a Delta Share in AIDP is to install the Delta Sharing python package and work with the Python delta share API in python based notebooks. A more friendly and managed user experience would be to have the delta-share profile configured as a schema in the AIDP managed catalog. This would…
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Support view type objects in Autonomous Database based external catalogs
When creating an external catalog connected to an Autonomous Database all tables type objects are presented in the catalogue, but I do not see view type objects. Although writes can't be supported, having the ability to leverage reads of views in the external catalogue format would be extremely helpful. As a workaround we…
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Provide the ability to reset ipynb notebooks in AIDP
There doesn't appear to be a way to reset the state of a notebook in AIDP. This is important to be able to reset the state of the notebooks, especially around things like reimporting changed local modules (non-withstanding other way to handle reimports) or resetting variable states Top bar in AIDP where you would except to…
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Ctrl+Z Shortcut in Notebook Cells
Ctrl+Z shortcut doesn't appear to work in IPYNB notebook cells consistently
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Central AI Assistant indexing via Oracle AI Data Platform, with full support for local indexing
Today, the AI Assistants in Oracle Analytics Cloud (OAC) and Fusion AI Data Platform (FAIDP) require local indexing of datasets or subject areas. This indexing captures synonyms, business terms and which attributes will be indexed, but it must be configured separately in each tool, leading to duplication and inconsistent…
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Temporal Analysis enablement
Introduce a guided feature or wizard in Oracle AI Data Platform (AIDP) to simplify the configuration of Type 2 Slowly Changing Dimensions (SCDs) within the Silver layer of the medallion architecture. Currently, users can manually create Type 2 SCDs to enable temporal and point-in-time analysis, but the process requires…
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Business semantic layer for AIDP catalog that is complimentary to OAC
Business semantics (metrics, KPIs, business entities, hierarchies) currently live primarily inside downstream analytics tools such as Oracle Analytics Cloud, or are redefined separately in each consuming platform leading to a fragmentation of definitions of key metrics, no cross-platform single pane of glass for business…
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AWS S3 Access
Oracle AI Data Platform workspaces operating on a Private Network, AWS S3 access from Notebooks and Workflows currently requires manual intervention via a support ticket. Users must provide the workspace key, and the AI Data Platform team enables a temporary workaround per tenancy. Appreciate some attention towards it and…
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Allow Multiple requirements.txt files per compute
Problem Currently each compute instance can only be associated with one requirements.txt file. This limits flexibility for users working across multiple projects that require different dependencies. Switching between projects / tasks still requires manual editing of requirements.txt and file replacement (uninstall /…
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Ability to Collapse "Navigation" and "Recent" Panels in Notebooks
Currently, by default, AI Data Platform is presented in 3 panels (Navigation, Recent, Platform). These panels remain visible even when a user is actively working inside a Notebook. This can limit the available workspace and make it harder to focus, especially on smaller screens. It would be great to add the ability to…
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Add code cell numbering for completed notebook cells
When working in a notebook within the AI Data Platform, a cell turns white when executed. Although this indicates that the cell has completed running, it becomes difficult to track the execution order, especially in larger notebooks. This lack of visual feedback makes it easy to lose track of which cells have been executed…
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Auto Prompt Generator!
Based on the Database Table or the file selected for analysis, provide a feature that lists the questions that can be asked on the data. It should also allow the prompts to be selected and shaped further for refinement. This enables the users without detailed knowledge about the data to start with meanigful questions that…
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Support for ADMIN permission Inheritance
In Oracle AI Data Platform, ADMIN permissions do not inherit from parent objects to child objects. This results in inconsistent and confusing behavior compared to other permissions such as SELECT, READ, MODIFY, etc., which do inherit. When ADMIN is granted on a Catalog, Schema, or any parent object, the user does not…
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Git Support
The Oracle AI Data Platform doesn’t currently support Git, or any version control integration. This makes managing dependencies, automating builds, and tracking code changes a bit painful. It would be great to have native support for these so we can handle packages, code versions, and deployments more smoothly within the…
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Support UI Creation Functionality Using Streamlit, APEX, or Other Low Code UI Creator
AIDP excels as a developer and data lake platform, however there is currently no "end user" entering point directly to AIDP. The current path to allowing a user to work with data from AIDP is either through data sharing out to another front-end application or pushing a gold layer to ADW. Proposing that Streamlit should be…
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Make the ipynb output cell scrollable horizontally
When outputting a DataFrame object (pandas, pyspark, etc) it's extremely helpful for the output cell to be scrollable horizontally. Makes it a lot more practical to work with and analyze higher dimensional datasets.
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Resize "Name" Column in AI Data Platform viewer
The "Name" column in the folder view of AI Data Platform is unable to be re-sized, so will currently not display longer titles. E.g., I have 3 notebooks created for an example: demo.ipynb demo_notebook.ipynb demo_notebook_with_added_text.ipynb The first two notebook titles show without issue, but you can only see the third…
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AI-Enabled Unstructured Data Ingestion Template for Healthcare — Preparing a Data-Ready Golden Layer
The AI-Enabled Unstructured Data Ingestion Template for Healthcare is a pre-built, agent-driven accelerator designed to ingest, classify, and transform unstructured healthcare data—including clinical notes, 835, 837, , and EHR document—into a standardized, analytics-ready “Golden Layer.” NLP & Entity Recognition Agent…
