Oracle Cloud Innovations: How AI and ML are Enhancing Services

June 25, 2024
Valueverse oracle fusion consulting - Blog AI & ML

Today, businesses seek innovative solutions more than ever to streamline operations and gain a competitive edge. Oracle Cloud Innovation, particularly in Artificial Intelligence (AI) and Machine Learning (ML), is leading the charge in transforming how enterprises manage their data and services.

This blog explores how AI and ML are revolutionizing Oracle Cloud Services by providing unparalleled advantages to organizations worldwide.  Furthermore, as discussed in our previous blog How AI can transform HR workflows at large corporations by automating repetitive tasks, enhancing employee engagement, and providing data-driven insights for better decision-making.

Why Choose Oracle AI and ML services?

Oracle Cloud Infrastructure (OCI) is the backbone of Oracle’s cloud services, providing a robust, scalable, and secure environment for businesses to run their applications.

OCI supports a wide range of workloads, from simple web applications to complex enterprise systems. One of the standout features of OCI is its integration with AI and ML technologies, enabling organizations to leverage advanced analytics and automation capabilities. 

OCI Generative AI is a groundbreaking innovation that allows businesses to create, manage, and deploy AI models with ease. This integration accelerates the development process and ensures that AI solutions are scalable and reliable. By utilizing the OCI Generative AI, businesses can automate routine tasks, enhance decision-making processes, and drive innovation.

How Oracle Cloud Innovation is Improving Services with AI and ML
Oracle Cloud Infrastructure’s Approach to AI

Oracle stands out with its unique approach to AI, focusing on the diverse needs of businesses. Here are some of Oracle Cloud Infrastructure’s latest AI-enabled features.

OCI Generative AI

Generative AI is a new service introduced to Oracle Cloud Infrastructure, allowing for the seamless integration of generative AI capabilities (based on large language models) into applications and workflows through simple APIs. It leverages LLMs from Cohere, the leading generative AI company for enterprise-grade models. Here are the pre-built models available in OCI Generative AI:

  • Command Model: This highly performant generation model from Cohere takes user commands as input and generates text based on the instructions. There are two size options available for OCI Generative AI: a 52-billion parameter model and a 6-billion parameter model.
  • Summarization Model Endpoint: Built on Cohere’s command model, the summarization feature runs as an optimization without specific instructions. Customers can enter text to summarize and define parameters such as length and format. This model, which uses a 52-billion-parameter configuration, summarizes various types of content, including news articles, blog posts, and documents.
  • Embed Model: With this model, customers can transform text into semantic numeric representations using high-dimensional vectors.
  • Current AI/ML Innovations in Autonomous Databases: Oracle Cloud Infrastructure’s Autonomous Database leverages AI/ML for enhanced performance and streamlined workflows. Here are the new features Oracle has introduced for businesses:
  • Select AI: Using LLMs, Select AI generates SQL queries based on natural language conversations. This allows applications to integrate private data with generative AI productivity. Both OCI Generative AI and Select AI support multiple LLMs and Cohere.
  • Spatial Machine Learning: Spatial machine learning enhances Oracle machine learning by enabling location data and improving model performance. It supports spatial ML algorithms, including regression, classification, clustering, and anomaly detection.
  • Model Monitoring UI: Oracle Machine Learning now includes a “no-code” UI for simplifying ML model monitoring to detect concept and quality drift. This UI supports machine learning operations by consolidating models and data monitoring into one streamlined interface.
  • Operational Graph Views on Knowledge Graphs: Graph Studio utilizes the new “no-code” UI to provide graph analytics, such as pathfinding on knowledge graphs, without data duplication. This feature helps reveal insights by analyzing connections within a knowledge graph.
Embedded AI in Fusion Cloud Applications

Businesses can embed both classic and generative AI into their applications through Oracle Fusion Cloud Applications, providing quick access to AI outcomes whenever needed. This capability enables easy adoption of the latest AI technologies, leading to better productivity, improved decision-making, automated processes, and reduced costs. Here are the key features of Oracle Fusion Cloud Applications:

  • Enhanced Data: Oracle Fusion Cloud prioritizes high-quality, real-time data to support innovation, automation, and intelligent features. Oracle DataFox data is sometimes used to augment customer data for AI applications.
  • Automated Processes: With Oracle Cloud ERP, businesses can now operate faster and minimize manual intervention through automation, automating over 90% of standard financial transactions.
  • Intelligent Insights: Oracle Cloud ERP provides intelligent insights in real-time, eliminating guesswork and aiding in analysis and action planning.
  • Faster Actions: Oracle Fusion Cloud Applications connect the entire business, allowing organizations to use financial insights for seamless actions, such as inventory management, production schedules, or program management.
  • Continuous Learning: Embedded AI offers Oracle AI applications that use the latest machine learning practices with built-in feedback loops and human-in-the-loop input.
Machine Learning on Oracle Cloud Infrastructure

Machine Learning is advancing rapidly with the latest innovations, providing businesses with deeper insights from data and fostering innovation through open-source tools, GPUs, and Large Language Models (LLMs).

Oracle Cloud Infrastructure (OCI) has introduced the OCI Data Science Feature Store, designed to assist Data Scientists and ML engineers. This feature store streamlines the entire workflow, from data ingestion and transformation to model building and experimentation, offering efficient feature management for machine learning.

OCI Data Science Feature Store: Key Functionalities

Oracle’s Cloud Infrastructure services present the OCI Data Science Feature Store, which enhances automation in the cloud, includes built-in machine learning operations capabilities, and provides enterprise-grade security. Here are its features and functionalities.

  • Centralized Feature Management: The OCI Data Science Feature Store offers a centralized library for features, ensuring they are managed efficiently.
  • Feature Consistency and Reproducibility: The consistency of ML projects is greatly enhanced with this feature store, which ensures the consistency of features across models.
  • Real-time and Batch Features: The OCI Data Science Feature Store provides seamless management of both batch and real-time features, supporting a wide range of ML applications, from fraud detection to customer recommendations.
  • Accelerated Time to Production: The feature store reduces the time taken for a model to transition from development to production, speeding up the deployment process.
  • Cost Reduction: By minimizing storage and computation costs, the OCI Data Science Feature Store improves resource efficiency, ultimately reducing overall expenses.
  • Collaboration and Governance: With a shared and centralized library of features, the feature store facilitates easy collaboration among teams. It also offers tools for monitoring, validation, and version control, ensuring robust governance.
  • Programmatic and Declarative Programming Support: The OCI Data Science Feature Store supports programmatic interfaces through SQL, Python, and PySpark, catering to various user preferences and requirements.

By leveraging these capabilities, businesses can enhance their ML workflows, drive innovation, and achieve better results with Oracle Cloud Infrastructure.

Contact Us Today

Elevate your business operations with the latest advancements in AI and ML on Oracle Cloud Infrastructure. Contact ValueVerse Consulting today to learn how we can help you implement Oracle Cloud Innovations and maximize the value of your data.

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