Suresh Gandhi

Oracle Consultant & Blogger

Qualcomm India


Suresh Gandhi is an Oracle Consultant & Blogger. He got vast experience in managing databases especially in Oracle in various domains like Education, Insurance, Banking & Telecom. He is working with Qualcomm as Senior Manager and also Independent Director for Independent Australia Oracle User Group (AIOUG). He shares his learnings & knowledge in his blog ( and presented various topics in Sangam & OTN. Alongside Oracle Database knowledge, he added proficiency in BigData and NOSQL Databases.


Build & Deploy container databases using Oracle Container services (Kubernetes)

Event: 2020 Webinar Series

Stream:Emerging Technologies

In this session, I will introduce oracle container services and kubernetes offering from Oracle. We will learn how to build kubernetes cluster and also deploy databases on it and also know about stateful and stateless sets to manage the databases effectively in the container world. Further more we will also see some operators in databases which helps to manage replica's & to manage backups etc of the databases in the kubernetes cluster. This session will help DBA to build and manage databases as containers using Kubernetes.

Chatbot - An intelligent assistants

Event: 2020 Webinar Series

Stream:Emerging Technologies

Modern chatbots are frequently used in situations in which simple interactions with only a limited range of responses are needed. This can include customer service and marketing applications, where the chatbots can provide answers to questions on topics such as products, services or company policies. If a customer's questions exceed the abilities of the chatbot, that customer is usually escalated to a human operator. Chatbots are often used online and in messaging apps but are also now included in many operating systems as intelligent virtual assistants, and widely used in RPA as well. These chatbots can perform a wide variety of functions based on user commands. In this presentation, I will be sharing about chatbots and common usage patterns of AI components NLP, ML, NTLK and also how to use different frameworks and languages like RASA and Python and as well as cloud offerings. I will present a demo creating a sample chatbot and how you can train the chatbots with different datasets or questionnaires and integrate with other service modules example, database health checkbox, information bot, etc.