Name: AI Innovation Unleashed: RAG Solutions, GPU Droplets, vClusters & GenAI in QE
Start: 2024-11-16T05:00:00.000Z
End: 2024-11-16T08:00:00.000Z
Location: Cloudera

**Event Title: AI Innovation Unleashed: RAG Solutions, GPU Droplets, vClusters, and the Future of Quality Engineering with GenAI**

**📍 Schedule**

* **Date:** 16th November 2024
* **Time:** 10:30AM to 1:30PM
* **Location:** Cloudera Bangalore office, 4th floor

This Meetup event is in Collaboration between **Cloudera & DigitalOcean**.

Join us for an exciting deep dive into the latest advancements in AI, machine learning, and quality engineering! This event brings together industry experts to share insights into building scalable, cost-effective, and high-performance AI and ML solutions using Cloudera Machine Learning, vClusters, and GPU droplets.

Whether you're a developer, engineer, or tech enthusiast, this meetup will provide you with actionable knowledge to implement and innovate within the AI/ML space.

**Talk Schedule**
**Sign up** \- Settle down 10:30 – 11:00 AM
**Talk 1** – Umesh Chaudhary 11:00-11:30 AM
**Talk 2** – Aravind Sridhar 11:30 – 12:00 PM
**Talk 3** – Prakash Mishra 12:00-12:30 PM
**Talk 4** \- Umesh Padashetty 12:30 \-1:00PM
**Networking** & Snacks 1:00 PM - 1:30PM

***

**Speakers, Talks and Descriptions**

**1. [Umesh Chaudhary](https://www.linkedin.com/in/umesc/) \- Staff Software Engineer\, Cloudera**
**Topic - Create a RAG-based GenAI Solution using Cloudera Machine Learning**
***Description:*** The talk is about how to use RAG to enrich the search context to get more relevant search results.

**2. [Aravind Sridhar](https://www.linkedin.com/in/aravindsridhar575/), Software Engineer II - DigitalOcean**
**Topic - GPU Droplets: Simple, Powerful Virtual Machines for AI/ML**
***Description***\*:\* GPU Droplets are virtual machines powered by GPUs for your AI/ML workloads. In this talk, we'll explore how customers can run training and inference on AI/ML models, process large data sets and complex neural networks for deep learning use cases, and serve additional use cases like high-performance computing (HPC).

**3. [Prakash Mishra](https://www.linkedin.com/in/prakash-mishra/) -** **Senior Platform Engineer - DigitalOcean**
**Topic - vClusters for Cost-Effective AI Workloads**
***Description:*** With increased demand for powerful infrastructure to power AI workloads and the ever increasing costs of infrastructure, this talk delves into how you can leverage technologies like vClusters to run efficient and cost effective AI workloads in your production Kubernetes clusters.

**4. [Umesh Padashetty](https://www.linkedin.com/in/umeshsp/) \- Principal Engineer I \- QE\, Cloudera**
**Topic - The Future of Quality Engineering with Generative AI**
***Description:*** Delve into the technical aspects of using Generative AI to automate quality engineering tasks like automatically generating test data, test code, test cases and test plans. We'll discuss specific techniques and tools to enhance your testing efficiency.
Each speaker brings years of industry experience and deep knowledge in their field, ready to share real-world applications and cutting-edge techniques.

***

**Attendee Benefits**
· Get to know the benefits of RAG and kickstart with RAG based applications using Cloudera Machine Learning
· Simple, accessible and cost effective - Leverage the power and simplicity of DO’s product stack to supplement your AI/ML use cases to store and process your data or further develop your models benefitting from DO’s simplicity.
· Gain insights on how you can save yourself from burning a hole through your budget when training and operating AI and non AI based workloads on Kubernetes. Efficient multi-tenancy means greater flexibility to engineers, lesser headaches for SRE's/Platform Engineers and lower spendings for the business.
· Gain hands-on knowledge of how to leverage Generative AI to streamline your quality engineering processes and stay ahead of the curve

***

**Speaker Bio**

1. **Umesh Chaudhary** – Umesh Chaudhary is Backend Software Engineer in Cloudera focusing on GenAI based application development and performance tuning.
2. **Aravind Sridhar** – Aravind Sridhar is Software Engineer II at DigitalOcean, specialising in building scalable storage solutions and optimising backend systems. Passionate about advancing cloud-native technologies and delivering impactful, efficient solutions.
3. **Prakash Mishra -** Prakash Mishra is a Platform Engineer at DigitalOcean. With years of hands-on experience, he’s all about making Kubernetes work smarter, not harder.
4. **Umesh Padashetty** \- Umesh Padashetty is a seasoned Quality Engineering professional with a passion for crafting robust and efficient testing solutions\. Currently at Cloudera\, Umesh is deeply involved in all aspects of Quality Engineering\, from test strategy and design\, architecting and planning\, to execution and analysis\. With a strong focus on automation and innovation\, Umesh is committed to delivering high\-quality software products
Don’t miss out on this opportunity to enhance your skills and network with the best in the industry. See you there!

Future of Data: Bangalore

Samriddhi Bhatnagar

Amar Prusty

Dinesh 

AI Innovation Unleashed: RAG Solutions, GPU Droplets, vClusters & GenAI in QE

Cloudera

Future of Data

Pesquisar {networkName}

Grupos

{PRO_NETWORK_NAME} está no Meetup Pro com mais de {PRO_MEMBER_COUNT} membros em {PRO_GROUP_COUNT} Meetups em todo o mundo. Meetup Pro é a ferramenta profissional para organizar e comunicar uma rede de usuários, parceiros, colaboradores e membros.

Welcome to the Future of Data meetups and user groups! Our events are free to attend and are open to anyone – explore now to discover a group in your area!

Can’t find a Future of Data group near you? If you’re enthusiastic about Cloudera technologies and are interested in forming a local group, please reach out. We continue to launch new meetup groups according to interest and availability of resources.

Future of Data

Welcome to the Future of Data

Future of Data

Quem nós somos

Pesquisar Future of Data

Próximos eventos

Grupos