Žiga Vaupot's Blog

I recently returned from Reading, UK, where I had the opportunity to attend the UKOUG 2023 conference . This year's event was particularly engaging, commemorating the 40th anniversary of the UK Oracle User Group. My participation at the conference had a dual purpose. Firstly, I attended to present, and while I was there, I had the chance to join several presentations that piqued my interest. I'm genuinely impressed by the innovative solutions showcased and the quality of work demonstrated by the presenters and their teams. My winners My standout presentation was LLMs are the Future of Conversational AI  by Antony Heljula of TPXimpact. Antony shared his experiences in developing chatbots that leverage large language models in conversational AI. Truly groundbreaking! A close second for me was Gianni Ceresa's (DATAlysis) presentation titled ID Please: Did You Already Ask That to Your Data?  Gianni delved into the crucial aspects of data lineage and governance, addressing the...

Using AutoML in Oracle Analytics Approximately one year ago, I have written a blog post Training and deploying AutoML models in Oracle Data Lakehouse . This blog post was part of my Oracle Data Lakehouse blog series, was focusing on training and deploying AutoML models in Oracle Autonomous Data Warehouse (ADW). Besides that, the post was also focusing on storing and managing data files in object storage and registering them as external tables in ADW. AutoML generated models are stored and deployed in ADW as any other OML models. If you want to use these models in Oracle Analytics you have to manually register OML model with Oracle Analytics and use it. There is a small detail regarding the location of data to be used with such a model - data has to reside in the same database where model is deployed. Not to mention, that user has to log into OML Notebooks in ADW and perform the training there. In the latest, March 2023 Update, release this is no longer needed as Oracle Analytics ...

Analytics and Data Oracle User Community ( AnDOUC ) Winter TechCast Days  took place between 15th and 17th Februrary 2022.  I am very honoured to make a small contribution at the  Machine Learning Day  where I presented my view on what business users should know about machine learning support in Oracle Analytics, presentation with the title  Business Users and Machine Learning in Oracle Analytics . Business Users and Machine Learning in Oracle Analytics Traditionally, the use of machine learning is in the domain of the data scientist. The latter has in-depth knowledge of machine learning methods and algorithms and strives for the most optimal preparation of machine learning models, which are then used for various analyses such as predictions, customer segmentation, anomaly detection, finding patterns and the like. Because the machine learning process usually takes a long time, even a few weeks, the data scientist is a rather “rare species”. Business users usuall...

You can find the following definition about Graphs and Graph theory on Wiki :  In mathematics, graph theory is the study of graphs, which are mathematical structures used to model pairwise relations between objects. A graph in this context is made up of vertices (also called nodes or points) which are connected by edges (also called links or lines). A distinction is made between undirected graphs, where edges link two vertices symmetrically, and directed graphs, where edges link two vertices asymmetrically. Graphs are one of the principal objects of study in discrete mathematics. In essence, graphs are used to model various types of relationships. In case of business analytics, graphs can used in sales and marketing departments to perform recommendations of the products to particular group of customers that are somehow related to some other group of customers, in manufacturing they can be exploited to manage inventory more effectively due to better planning of materials and semi-pr...