oracle-devrel · iosyed · Aug 13, 2026
diff --git a/ai/data-science/README.md b/ai/data-science/README.md
@@ -9,24 +9,21 @@ The Data Science section covers the tools and services under the broader Oracle
 * Oracle AI Vector Search (In-Database)
 * Oracle Private AI Services Container (Database Extension)
 * Oracle Select AI (In-Database)
-* Oracle Graph (In-Database)
-* Oracle Spatial (In-Databse)</br></br>
+</br></br>
 
-Reviewed: 2026.04.23
+Reviewed: 2026.08.13
 </br></br>
 
 # Table of Contents
 
-1. [Oracle AI Agent Memory](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/data-science/oracle-ai-agent-memory)
-2. [OCI Data Science](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/data-science/oracle-data-science)
-3. [Oracle Graph](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/data-science/oracle-graph)
-4. [Oracle Machine Learning](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/data-science/oracle-machine-learning)
-5. [Oracle Private Agent Factory](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/data-science/oracle-private-agent-factory)
-6. [Oracle Private AI Services Container](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/data-science/oracle-private-ai-services-container)
-7. [Oracle Select AI](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/data-science/oracle-select-ai)
-8. [Oracle Spatial](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/data-science/oracle-spatial)
-9. [Oracle AI Vector Search](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/data-science/oracle-vector-search)
-10. [Shared Assets](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/data-science/shared-assets)
+1. [Oracle AI Agent Memory](https://github.com/oracle-devrel/technology-engineering/tree/main/ai/data-science/oracle-ai-agent-memory)
+2. [OCI Data Science](https://github.com/oracle-devrel/technology-engineering/tree/main/ai/data-science/oracle-data-science)
+3. [Oracle Machine Learning](https://github.com/oracle-devrel/technology-engineering/tree/main/ai/data-science/oracle-machine-learning)
+4. [Oracle Private Agent Factory](https://github.com/oracle-devrel/technology-engineering/tree/main/ai/data-science/oracle-private-agent-factory)
+5. [Oracle Private AI Services Container](https://github.com/oracle-devrel/technology-engineering/tree/main/ai/data-science/oracle-private-ai-services-container)
+6. [Oracle Select AI](https://github.com/oracle-devrel/technology-engineering/tree/main/ai/data-science/oracle-select-ai)
+7. [Oracle AI Vector Search](https://github.com/oracle-devrel/technology-engineering/tree/main/ai/data-science/oracle-vector-search)
+8. [Shared Assets](https://github.com/oracle-devrel/technology-engineering/tree/main/ai/data-science/shared-assets)
 </br></br>
 
 

diff --git a/ai/data-science/oracle-ai-agent-memory/README.md b/ai/data-science/oracle-ai-agent-memory/README.md
@@ -6,7 +6,7 @@ Agent memory is more just than stored conversations. A complete memory system ne
 
 Oracle AI Agent Memory extends Oracle AI Database into a persistent memory core for AI agents, enabling them to retain context, accumulate knowledge, and improve over time, enabling them to perform well at long-horizon tasks. That means agent memory can live where enterprise data already lives, instead of being spread across separate tools. Oracle Database is already the system of record for enterprise data. Agent memory is the next system of record that matters. 
 
-Reviewed: 2026.04.23
+Reviewed: 2026.08.13
 </br></br>
 
 # Table of Contents
@@ -25,6 +25,9 @@ Reviewed: 2026.04.23
 # Team Publications
 
 - [Oracle AI Agent Memory - Tracking Engagements Over Time](https://medium.com/@harrysnart/exploring-oracle-agent-memory-32ef77ef178f?postPublishedType=initial)
+- [Oracle AI Agent Memory - Concepts and API Workthrough](https://github.com/oracle-devrel/technology-engineering/tree/main/ai/data-science/oracle-ai-agent-memory/concepts_and_%20api_walkthrough)
+- [Building an Oracle Agent Memory Workspace Part 1](https://cristinavaras.com/building-an-oracle-agent-memory-workspace-part-1-3-from-inspiration-to-architecture/)
+- [Building an Oracle Agent Memory Workspace Part 2](https://cristinavaras.com/building-an-oracle-agent-memory-workspace-part-2-3-fastapi-autonomous-database-and-oci-generative-ai/)
 
 </br></br>
 

diff --git a/ai/data-science/oracle-ai-agent-memory/concepts_and_ api_walkthrough/README.md b/ai/data-science/oracle-ai-agent-memory/concepts_and_ api_walkthrough/README.md
@@ -1,4 +1,4 @@
-# Overview
+# Oracle AI Agent Memory - Concepts and API Walkthrough
 
 This notebook demonstrates how to use **Oracle Agent Memory** for managing and retrieving conversational memory in AI applications.
 
@@ -10,7 +10,7 @@ The notebook includes:
 
 This notebook does not cover agent creation. Instead, it focuses on using Large Language Models (LLMs) to explore and demonstrate Oracle Agent Memory capabilities and API usage.
 
-Reviewed: 2026.05.15
+Reviewed: 2026.08.13
 
 # Environment
 
@@ -26,7 +26,9 @@ Conda environment: python3 (ipykernel)
     - OCI configuration file when running from a local environment and accessing OCI-hosted models
 
 # License
-
+ 
 Copyright (c) 2026 Oracle and/or its affiliates.
-
+ 
 Licensed under the Universal Permissive License (UPL), Version 1.0.
+
+See [LICENSE](https://github.com/oracle-devrel/technology-engineering/blob/main/LICENSE) for more details.
diff --git a/ai/data-science/oracle-data-science/README.md b/ai/data-science/oracle-data-science/README.md
@@ -4,7 +4,7 @@ This page covers Oracle Cloud Infrastructure (OCI) Data Science Service.
 
 Oracle Cloud Infrastructure (OCI) Data Science is a fully managed platform for teams of data scientists to build, train, deploy, and manage machine learning (ML) models using Python and open source tools. Use a JupyterLab-based environment to experiment and develop models. Scale up model training with NVIDIA GPUs and distributed training. Take models into production and keep them healthy with ML operations (MLOps) capabilities, such as automated pipelines, model deployments, and model monitoring.
 
-Reviewed: 2026.01.12
+Reviewed: 2026.08.13
 </br></br>
 
 # Table of Contents
@@ -43,21 +43,21 @@ Reviewed: 2026.01.12
 - [Airplane Detector using Custom trained Ultralytics YOLO V8 model](https://github.com/luigisaetta/airplane_detector)
 - [Invoke a Model Deployment in OCI Data Science using OCI Functions](https://github.com/bobpeulen/oracle_data_science_examples/blob/main/functions_invoke_md.py)
 - [Fine Tune OpenAI Whisper using Jobs](https://github.com/luigisaetta/train-large-models)
-- [OCI Data Science - GitHub Integration](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/data-science/oracle-data-science/github-integration)
-- [OCI Data Science - Installing R Conda](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/data-science/oracle-data-science/r-conda-oci-data-science)
-- [OCI Data Science - MLFlow Integration](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/data-science/oracle-data-science/oci-setup-mlflow-tracking-server)
-- [OCI Data Science - ADS OPCTL Jobs](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/data-science/oracle-data-science/jobs-oci-data-science-ads-operator-control)
-- [OCI Data Science - Distributed Training V1](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/data-science/oracle-data-science/jobs-distributed-training)
+- [OCI Data Science - GitHub Integration](https://github.com/oracle-devrel/technology-engineering/tree/main/ai/data-science/oracle-data-science/github-integration)
+- [OCI Data Science - Installing R Conda](https://github.com/oracle-devrel/technology-engineering/tree/main/ai/data-science/oracle-data-science/r-conda-oci-data-science)
+- [OCI Data Science - MLFlow Integration](https://github.com/oracle-devrel/technology-engineering/tree/main/ai/data-science/oracle-data-science/oci-setup-mlflow-tracking-server)
+- [OCI Data Science - ADS OPCTL Jobs](https://github.com/oracle-devrel/technology-engineering/tree/main/ai/data-science/oracle-data-science/jobs-oci-data-science-ads-operator-control)
+- [OCI Data Science - Distributed Training V1](https://github.com/oracle-devrel/technology-engineering/tree/main/ai/data-science/oracle-data-science/jobs-distributed-training)
 - [AI Quick Actions - Deploying Cached Model](https://www.linkedin.com/pulse/ai-quick-actions-deploying-mistral-7b-instruct-ismail-syed-g02gc/?trackingId=iNsrmnseR4uoSyY6EMWyQg%3D%3D)
 - [AI Quick Actions - Deploying HF Verified Model](https://www.linkedin.com/pulse/ai-quick-actions-deploying-google-gemma-7b-instruct-ismail-syed-hp3ze/?trackingId=iNsrmnseR4uoSyY6EMWyQg%3D%3D)
 - [AI Quick Actions - Fine-Tuning Model](https://www.linkedin.com/pulse/ai-quick-actions-fine-tuning-mistral-7b-instruct-ismail-syed-41qie/?trackingId=iNsrmnseR4uoSyY6EMWyQg%3D%3D)
 - [AI Quick Actions - Evaluating Model](https://www.linkedin.com/pulse/ai-quick-actions-evaluating-mistral-7b-instruct-ismail-syed-yidye/?trackingId=iNsrmnseR4uoSyY6EMWyQg%3D%3D)
 - [Building an APEX Application for ML Predictions with OCI Data Science — Part 1](https://medium.com/@cristina.varas98/building-an-oracle-apex-application-for-machine-learning-predictions-with-oci-data-science-part-1-e56631091fe5)
 - [Building an APEX Application for ML Predictions with OCI Data Science — Part 2](https://medium.com/@cristina.varas98/building-an-oracle-apex-application-for-machine-learning-predictions-with-oci-data-science-part-2-359de97c69a5)
 - [The AI-Powered Ski Vacation: Condition Monitoring for Ski Lifts](https://www.linkedin.com/pulse/ai-powered-ski-vacation-condition-monitoring-lifts-emma-palii-1lzmf/?trackingId=yW%2BEqhhhQEqARPJFVgQduQ%3D%3D)
-- [OCI Data Science - Enhance Data with GAN](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/data-science/oracle-data-science/enhance-data-with-gan)
-- [OCI Data Science - Generate Synthetic Data](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/data-science/oracle-data-science/generate-synthetic-data)
-- [OCI Data Science - Jobs with ADS SDK](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/data-science/oracle-data-science/jobs-ads-hello-world)
+- [OCI Data Science - Enhance Data with GAN](https://github.com/oracle-devrel/technology-engineering/tree/main/ai/data-science/oracle-data-science/enhance-data-with-gan)
+- [OCI Data Science - Generate Synthetic Data](https://github.com/oracle-devrel/technology-engineering/tree/main/ai/data-science/oracle-data-science/generate-synthetic-data)
+- [OCI Data Science - Jobs with ADS SDK](https://github.com/oracle-devrel/technology-engineering/tree/main/ai/data-science/oracle-data-science/jobs-ads-hello-world)
 - [Integrating NVIDIA NIM with OCI Data Science](https://www.linkedin.com/pulse/integrating-nvidia-nim-oci-data-science-ismail-syed-mwrxe/?trackingId=iNsrmnseR4uoSyY6EMWyQg%3D%3D)
 - [Scalable ML Batch Training with Containers on Oracle Cloud](https://medium.com/data-science-collective/scalable-ml-batch-training-with-containers-on-oracle-cloud-988f476b9552)
 - [Automating ETL with OCI Data Science and the ADS Library](https://medium.com/@cristina.varas98/automating-etl-with-oracle-cloud-infrastructure-oci-data-science-and-the-ads-library-741fbe2c7c33)
@@ -66,14 +66,16 @@ Reviewed: 2026.01.12
 - [Model Version Control in OCI Data Science](https://medium.com/data-science-collective/model-version-control-in-oci-data-science-9e2c580db70d)
 - [Image Embedding at Scale with ResNet50 on OCI Data Science](https://medium.com/@cristina.varas98/from-pixels-to-vectors-image-embedding-at-scale-with-resnet50-on-oci-data-science-4a2b3f7bc371)
 - [Effortless Multi-Model Serving with OCI Data Science Model Groups](https://medium.com/data-science-collective/effortless-multi-model-serving-with-oci-data-science-model-groups-62d90dd97497)
-- [Your First Data Science Project](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/data-science/oracle-data-science/your-first-data-science-project)
+- [Your First Data Science Project](https://github.com/oracle-devrel/technology-engineering/tree/main/ai/data-science/oracle-data-science/your-first-data-science-project)
 - [Distributed ML Training on OCI Data Science](https://medium.com/data-science-collective/distributed-ml-training-on-oci-data-science-827d9ed90a35)
-- [OCI Data Science - Jobs, Pipelines & Scheduler](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/data-science/oracle-data-science/jobs-pipelines)
+- [OCI Data Science - Jobs, Pipelines & Scheduler](https://github.com/oracle-devrel/technology-engineering/tree/main/ai/data-science/oracle-data-science/jobs-pipelines)
 - [Face Blurring with SAM 3 on OCI Data Science](https://medium.com/data-science-collective/face-blurring-with-sam-3-on-oci-data-science-26892f66d222)
 - [Model Inference from SQL using OCI Functions](https://medium.com/data-science-collective/model-inference-from-sql-using-oci-functions-c5765ed6a3a2)
-- [OCI Data Science for Optimisation Operational Research](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/data-science/oracle-data-science/operational-research)
+- [OCI Data Science for Optimisation Operational Research](https://github.com/oracle-devrel/technology-engineering/tree/main/ai/data-science/oracle-data-science/operational-research)
 - [Self-Hosting Stable Diffusion XL with OCI Data Science](https://medium.com/data-science-collective/self-hosting-stable-diffusion-xl-3e6528ded78b)
-- [Model Catalog Fundamentals and Automation](https://github.com/oracle-devrel/technology-engineering/tree/main/data-platform/data-science/oracle-data-science/model-catalog-fundamentals-and-automation)
+- [Model Catalog Fundamentals and Automation](https://github.com/oracle-devrel/technology-engineering/tree/main/ai/data-science/oracle-data-science/model-catalog-fundamentals-and-automation)
+- [Auto-Scaling Model Deployments with OCI Data Science](https://medium.com/@harrysnart/auto-scaling-model-deployments-with-oci-data-science-ab965fb58b68)
+- [Customize Model Deployment Artifacts with ADS](https://github.com/oracle-devrel/technology-engineering/tree/main/ai/data-science/oracle-data-science/customizing-ads-model-deployment-artifacts)
 </br></br>
 
 # License

diff --git a/ai/data-science/oracle-data-science/ai-quick-actions-catalog-deployment/README.md b/ai/data-science/oracle-data-science/ai-quick-actions-catalog-deployment/README.md
@@ -2,7 +2,7 @@
 
 This document covers how to use AI Quick Actions within OCI Data Science to deploy an out of the box foundational model from the AI Quick Actions Catalog.
 
-Reviewed: 2026.01.05
+Reviewed: 2026.08.13
 
 
 # When to use this asset?

diff --git a/ai/data-science/oracle-data-science/ai-quick-actions-finetuning-model/README.md b/ai/data-science/oracle-data-science/ai-quick-actions-finetuning-model/README.md
@@ -2,7 +2,7 @@
 
 This document covers how to use AI Quick Actions within OCI Data Science to fine tune a foundational model on a domain-specific dataset.
 
-Reviewed: 2026.01.05
+Reviewed: 2026.08.13
 
 
 # When to use this asset?

diff --git a/ai/data-science/oracle-data-science/ai-quick-actions-model-evaluation/README.md b/ai/data-science/oracle-data-science/ai-quick-actions-model-evaluation/README.md
@@ -2,7 +2,7 @@
 
 This document covers how to use AI Quick Actions within OCI Data Science to evaluate an already deployed foundational model that was deployed via AI Quick Actions.
 
-Reviewed: 2026.01.05
+Reviewed: 2026.08.13
 
 
 # When to use this asset?

diff --git a/ai/data-science/oracle-data-science/ai-quick-actions-verified-deployment/README.md b/ai/data-science/oracle-data-science/ai-quick-actions-verified-deployment/README.md
@@ -2,7 +2,7 @@
 
 This document covers how to use AI Quick Actions within OCI Data Science to deploy a verified foundational model downloaded from Hugging Face.
 
-Reviewed: 2026.01.05
+Reviewed: 2026.08.13
 
 
 # When to use this asset?

diff --git a/ai/data-science/oracle-data-science/anomaly-detection/README.md b/ai/data-science/oracle-data-science/anomaly-detection/README.md
@@ -1,4 +1,4 @@
-# Overview
+# Anomaly Detection
 
 This repository contains end-to-end anomaly detection projects demonstrating both supervised and unsupervised approaches using OCI Data Science and the ADS SDK.
 
@@ -9,6 +9,8 @@ The repository currently includes:
 * **Fraud Classification** – supervised fraud detection using classification models.
 * **Sales Unlabeled Anomaly Detection** – time-series anomaly detection using SARIMAX forecasting and prediction intervals.
 
+Reviewed: 2026.08.13
+
 ---
 
 # Projects
@@ -52,7 +54,9 @@ Created: 2026
 ---
 
 # License
-
+ 
 Copyright (c) 2026 Oracle and/or its affiliates.
-
+ 
 Licensed under the Universal Permissive License (UPL), Version 1.0.
+
+See [LICENSE](https://github.com/oracle-devrel/technology-engineering/blob/main/LICENSE) for more details.
diff --git a/...cience/oracle-data-science/customizing-ads-model-deployment-artifacts/README.md b/...cience/oracle-data-science/customizing-ads-model-deployment-artifacts/README.md
@@ -1,9 +1,11 @@
-# Overview
-
-Reviewed: 2026.04.16
+# Customizing ADS Model Deployment Artifacts
 
 This project demonstrates how to deploy a machine learning model using the ADS SDK while customizing the default generated model artifacts, which is often required in production scenarios.
 
+Reviewed: 2026.08.13
+
+# When to use this asset?
+
 While ADS provides a standard template for model artifacts, real-world use cases frequently require additional logic. In this notebook, we focus on modifying the generated artifacts to incorporate feature engineering directly into the deployment pipeline.
 
 The main advantage of this approach is that feature engineering is executed as part of the model inference process, eliminating the need to repeat these steps each time the model is invoked.
@@ -25,5 +27,10 @@ Created: April 2026
 - Basic familiarity with Python, Pandas, and Scikit-learn
 
 # License
+
 Copyright (c) 2026 Oracle and/or its affiliates.
+
 Licensed under the Universal Permissive License (UPL), Version 1.0.
+
+See [LICENSE](https://github.com/oracle-devrel/technology-engineering/blob/main/LICENSE) for more details.
+
diff --git a/ai/data-science/oracle-data-science/enhance-data-with-gan/README.md b/ai/data-science/oracle-data-science/enhance-data-with-gan/README.md
@@ -2,7 +2,7 @@
 
 This files cover code snippets for OCI Data Science, for enhancing data with GAN (Generative Adversarial Networks).
 
-Reviewed: 2026.01.05
+Reviewed: 2026.08.13
 
 
 # When to use this asset?

diff --git a/ai/data-science/oracle-data-science/generate-synthetic-data/README.md b/ai/data-science/oracle-data-science/generate-synthetic-data/README.md
@@ -2,7 +2,7 @@
 
 This files cover code snippets for OCI Data Science, for generating synthetic data.
 
-Reviewed: 2026.01.05
+Reviewed: 2026.08.13
 
 
 # When to use this asset?

diff --git a/ai/data-science/oracle-data-science/github-integration/README.md b/ai/data-science/oracle-data-science/github-integration/README.md
@@ -2,7 +2,7 @@
 
 This document covers the topic of GitHub integration for OCI Data Science.
 
-Reviewed: 2026.01.05
+Reviewed: 2026.08.13
 
 
 # When to use this asset?

diff --git a/ai/data-science/oracle-data-science/jobs-ads-hello-world/README.md b/ai/data-science/oracle-data-science/jobs-ads-hello-world/README.md
@@ -2,7 +2,7 @@
 
 This files cover code snippets to get started with OCI Data Science jobs utilising the ADS library.
 
-Reviewed: 2026.01.05
+Reviewed: 2026.08.13
 
 
 # When to use this asset?

diff --git a/ai/data-science/oracle-data-science/jobs-distributed-training/README.md b/ai/data-science/oracle-data-science/jobs-distributed-training/README.md
@@ -2,7 +2,7 @@
 
 This files cover code snippets and documentation for utilising OCI Data Science Jobs for Distributed Training.
 
-Reviewed: 2026.01.05
+Reviewed: 2026.08.13
 
 
 # When to use this asset?

diff --git a/...cience/oracle-data-science/jobs-oci-data-science-ads-operator-control/README.md b/...cience/oracle-data-science/jobs-oci-data-science-ads-operator-control/README.md
@@ -2,7 +2,7 @@
 
 This document covers the topic of submitting local code as OCI Data Science Jobs using the ADS Operator Control.
 
-Reviewed: 2026.01.05
+Reviewed: 2026.08.13
 
 
 # When to use this asset?

diff --git a/ai/data-science/oracle-data-science/jobs-pipelines/README.md b/ai/data-science/oracle-data-science/jobs-pipelines/README.md
@@ -6,7 +6,7 @@ This package provides examples for creating and managing OCI Data Science Jobs a
 2. Advanced Job – job using a source folder, custom variables, and flexible configuration
 3. Pipeline Creation – multi-step workflows using jobs as pipeline steps
 
-Reviewed: 2026.01.05
+Reviewed: 2026.08.13
 
 # Prerequisites
 

diff --git a/...science/oracle-data-science/model-catalog-fundamentals-and-automation/README.md b/...science/oracle-data-science/model-catalog-fundamentals-and-automation/README.md
@@ -1,12 +1,12 @@
-# Overview
+# Model Catalog Fundamentals and Automation
 
 This project demonstrates the fundamentals of using the OCI Data Science Model Catalog and shows how to automate model registration workflows using jobs.
 
 It contains two examples with increasing levels of sophistication:
 1. Model Catalog Fundamentals – introduces core Model Catalog concepts and operations.
 2. Automated Model Registration – demonstrates how to automate model registration using Data Science Jobs and model version sets.
 
-Reviewed: 2026.01.19
+Reviewed: 2026.08.13
 
 # Project Scope
 

diff --git a/...-science/oracle-data-science/nvidia-nim-deploying-mistral-7b-instruct/README.md b/...-science/oracle-data-science/nvidia-nim-deploying-mistral-7b-instruct/README.md
@@ -2,7 +2,7 @@
 
 This document covers how to integrate NVIDIA NIM Microservices within OCI Data Science by deploying the Mistral 7B Instruct v0.3 LLM via the OCI Marketplace.
 
-Reviewed: 2026.01.05
+Reviewed: 2026.08.13
 
 
 # When to use this asset?

diff --git a/ai/data-science/oracle-data-science/oci-setup-mlflow-tracking-server/README.md b/ai/data-science/oracle-data-science/oci-setup-mlflow-tracking-server/README.md
@@ -2,7 +2,7 @@
 
 This document contains code assets and doucmentation for setting up and integrating OCI Data Science with MLflow Tracking Server on OCI.
 
-Reviewed: 2026.01.05
+Reviewed: 2026.08.13
 
 
 # When to use this asset?

diff --git a/ai/data-science/oracle-data-science/operational-research/README.md b/ai/data-science/oracle-data-science/operational-research/README.md
@@ -1,12 +1,12 @@
-# Overview
+# Operational Research Use Cases in OCI Data Science
 
 This project presents three operational research use cases with different levels of complexity:
 
 1. **Finding the best route using Dijkstra’s algorithm** – the simplest use case.
 2. **Flight scheduling using integer linear programming.**
 3. **Individual pricing optimization with global and individual constraints** – an advanced use case that also showcases the use of different resources and features in the OCI Data Science Platform.
 
-Reviewed: 2026.01.05
+Reviewed: 2026.08.13
 
 # What You’ll Learn