I am more than honoured to share that I am presenting at this year's UKOUG 2023 conference that is taking place on 15th and 16th November at Oracle TVP, Reading.
I will deliver the following two presentations:
- Tuesday, 15th November, 10:00-10:45, Lambourne
OCI Vision and Oracle Analytics: Just Like a Box of Chocolates
Oracle Cloud Infrastructure (OCI) is just like a box of chocolates. It is offering a variety of cloud services, including serverless and very user friendly AI services such as Vision, Language, Speach, Document Understanding and Digital Assistant. In this presentationa I am focusing on OCI Vision, which is a self-service AI Service, which applies computer vision for image-based content analysis. It allows developers easily integrate pre-trained models into their applications with APIs or custom training models to meet their specific use cases.
In this presentation we will demonstrate how to train machine learning model for x-ray image classification using OCI Vision and how to use that model in Oracle Analytics in order to classify new X-Ray images.
What to expect to learn in this presentation?
In the first place, we will explore and explain the whole process from “plain” X-ray image to identification of pneumonia infected lungs using different OCI services:
- Gather and store images to OCI Object Storage.
- Label images depending on whether they represent normal or pneumonia infected lungs using Data Labeling service.
- Build and train an image classification model using OCI Vision.
- Register an OCI Vision model with Oracle Analytics.
- Apply created model in Oracle Analytics’ Data Flows.
- Visualize everything at the end by using Oracle Analytics Data Visualization.
Why is this relevant?
Firstly, presentation shows the flexibility and usability of the OCI ecosystem. Secondly, the whole process (with exception of data labeling which is done programmatically) is codeless, with not too many steps in the process, and the process itself is really very simple. This implies possibilities which can be explored by much wider range of users comparing to the situation today, where all depends on skilled developers and data scientists. And the bottom line, this can have very positive impact on business.
More details and complete step-by-step workshop can be found at Oracle LiveLabs: Classify X-Ray images for pneumonia using Analytics Cloud and Vision AI Services.
- Wednesday, 16th November, 16:00-16:45, Lambourne
Extending Oracle Analytics' Machine Learning Capabilities with OCI services
Gartner has published its Magic Quadrants for Analytics and Business Intelligence Platforms (Gartner, 2023) report for 2023, on April 5th. As usually, it presents how various analytics and BI vendors position regarding the completeness of their vision and ability to execute. It is considered as “the go-to resource” when evaluating and comparing these technologies.
In their report, Gartner positions Oracle Analytics in Visionaries quadrant, saying that the key Oracle’s strengths are in (Gartner, 2023):
- Enterprise cloud data and analytics,
- Augmented capabilities throughout and
- Comprehensive data management.
In this presentation, I am discussing Oracle Analytics' internal machine learning capabilities. But not only that, these can be extended with machine learning capabilities, weather that be Oracle Machine Learning capabilites from Oracle Autonomous Database, machine learning models trained using various OCI AI Services like AI Vision or Language, or trained python-based models using OCI Data Science.