102 - Artificial Intelligence and Machine Learning services on Oracle Cloud

OPEN Tech Talks: Technology worth Talking| Emerging Tech |Tools & Tips

An overview of Oracle's different Artificial Intelligence, machine learning, and data science solutions available on Oracle Cloud. If you are new to this website, it is a learning and sharing platform where we will learn publicly.

Before I cover today's show schedule, let me admit that procrastination is sometimes very dangerous, as I could not record/host the podcast for the last 4 months. It wasn't easy to have a work-life balance due to the two factors. First, as I am doing MSc in AI and the previous 4-5 months were crucial to complete the key subjects, now I am on the last topic of robotics, which will be completed very soon. And 2nd factor was that I was dedicating a lot of my time to office work, where I worked with several EMEA-based customers and helped them migrate on-premise workloads to the Oracle cloud.

On the procrastination, James clear’s book ‘Atomic habit’ and specifically the article “Procrastination: A Scientific Guide on How to Stop Procrastinating” has helped me to come out of the phase and be back with the podcast 😊

Let's dive into today’s topic. Oracle has solutions that broadly cover three areas from the product's point of view. We will also talk about some of the use cases along with these products.

1-Artificial intelligence services, 2- Machine learning services and 3- AI apps for SaaS services

1-Artificial intelligence services deliver pre-trained models that can also be custom trained to improve model quality and enable organizations to use the AI services.

2-Machine learning services enable organizations to build, manage and deploy machine learning models with the different open source frameworks or they can use in-database machine learning capabilities.

3-AI apps for SaaS services provide organizations with capabilities in pre-integrated and fully functional AI functionalities in the Software as a Services (SaaS) model. These services are primarily part of the Oracle Cloud Applications. It uses deep semantic parsing with natural language processing (NLP), natural language understanding (NLU), and custom algorithms to understand common conversations to derive real intent and context. In addition, users can communicate with the business application using voice commands capabilities available in the digital assistant offered by Oracle’s Voice, it is not relying on any third party offerings.

You’ll Learn:

Different offerings for AI, ML and Data Science from Oracle Cloud:

• Overview of the AI/ML & Data science services
  1. Oracle Digital Assistant
  2. Oracle Cloud Infrastructure Language
  3. Oracle Cloud Infrastructure Speech
  4. Oracle Cloud Infrastructure Vision
  5. Oracle Cloud Infrastructure Anomaly Detection
  6. Oracle Cloud Infrastructure Forecasting
  7. Oracle Cloud Infrastructure Data Science
  8. Machine Learning in Oracle Database
  9. Oracle Cloud Infrastructure Data Labeling
  10. Oracle Cloud Infrastructure Virtual Machines for Data Science
  11. Oracle AI Apps for Finance
  12. Oracle AI Apps for Human Resources
  13. Oracle AI Apps for Sales
  14. Oracle AI Apps for Service
  15. Oracle AI Apps for Procurement
• Common uses cases to achieve with these cloud services/solutions.

Resources:

• Procrastination: A Scientific Guide on How to Stop Procrastinating
• Artificial Intelligence (AI) from Oracle
• OCI Anomaly Detection Service is an innovative algorithm called the multivariate sampling estimation technique (MSET)
• Forecasting use cases
• 97 – What are the leading cloud migration challenges?
• 95- Cloud Security with CIS Benchmarks
• 94- How to develop a cloud migration strategy?
• 93- Cloud Migration Workload Assessment
• 91- Workload Migration to Cloud – Getting Started