We are hosting our flagship annual event "Google Cloud community Day 2023". We welcome all passionate developers interested to know the power of Google Cloud and how they can leverage.
May 13, 2023, 3:30 – 11:30 AM
About this event
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*** This event is NO COST *** Non-AC Venue ***
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We are hosting our flagship annual event "Google Cloud community Day 2023" at Chennai location. We welcome all passionate developers interested to know the power of Google cloud and how they can use. We will have an amazing lineup of speakers featuring developer advocates, customer engineers and architects from Google, Google Developer Experts and prominent developers and customers speaking how they use GCP. The content would be technical featuring deep dives into specific technologies and use cases.
Who should attend – Google Cloud Developers, Administrators, DevOps professionals, Cloud Engineers, Engineering leaders, Executives, Community Managers, Kubernetes, Cloud Native Enthusiasts, Open-Source Contributors, Students and passionate individuals.
Venue location: Zoho Corporation, Estancia IT Park, Vallancherry Plot No. 140 & 151, Grand Southern Trunk Road, Vallancherry, Taluk, Chengalpattu, Tamil Nadu 603202
Speaker: Abirami Sukumaran
Summary: We will be covering an overview of data, databases & storage, processing, analytics, ML and AI services with Google Cloud with hands-on journey taking a small application from data to AI.
Improving customer experiences with Conversational AI
Speaker: Kumaresan M K
Summary: # Contact centers are a valuable source of untapped data that can be used to improve business. By gathering insights from contact center data, businesses can better understand their customers, improve their products and services, and deliver a better customer experience.
# One way to gather insights from contact center data is to use artificial intelligence (AI). AI can be used to analyze contact center data to identify trends, patterns, and insights that would be difficult or impossible to find manually. For example, AI can be used to identify customer pain points, track customer satisfaction, and predict customer churn.
# Another way to use AI in contact centers is to create chatbots. Chatbots are computer programs that can simulate conversation with humans. Chatbots can be used to answer customer questions, resolve issues, and provide support.
# Generative AI is a type of AI that can be used to generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. Generative AI can be used to improve contact centers in a number of ways. For example, generative AI can be used to:
# Create more engaging and informative chatbots: Chatbots that are powered by generative AI can be more engaging and informative than traditional chatbots. This is because generative AI can be used to generate text that is more natural and human-like.
Improve the accuracy of machine translation: Generative AI can be used to improve the accuracy of machine translation. This is because generative AI can be used to understand the meaning of text in different languages.
# Generate more informative and engaging content: Generative AI can be used to generate more informative and engaging content. This is because generative AI can be used to generate text that is more interesting and engaging to read.
# Overall, generative AI has the potential to significantly improve contact centers. By using generative AI, businesses can improve the customer experience, increase customer satisfaction, and reduce costs.
How ChatGPT Works: A Deep Dive into the Architecture and Mechanics of OpenAI's Language Model
Speaker: Karthikeyan V K
Summary: We took a deep dive into the architecture and internal mechanics of OpenAI's ChatGPT language model. ChatGPT is a cutting-edge natural language processing model that uses a transformer-based architecture to perform various language processing tasks.
We discussed how ChatGPT uses multi-head self-attention mechanisms and feedforward layers to understand the context of the text, and how positional encoding is used to preserve the order of the input sequence. We also explored how the model is trained using masked language modeling to predict the next word in a sequence.
Furthermore, we examined how ChatGPT can be fine-tuned for specific natural language processing tasks by adding additional layers on top of the transformer blocks. This allows the model to learn task-specific patterns and improve its performance on particular tasks.
Overall, our session provided an in-depth look at the architecture and internal mechanics of ChatGPT, providing valuable insights for researchers, developers, and anyone interested in natural language processing and machine learning.
Exploring the power of DialogFlow and Natural Language AI
Speaker: Kiruthika Subramani
Summary: # Get an introduction to Dialog Flow and watch a live demo of building an appointment scheduler for Lion King using GCP. Discover the power of Dialog Flow and how it can help in building conversational interfaces.
# Dive into Natural Language API and learn about sentiment analysis, entity analysis, syntax analysis, and content classification. Watch a live demo of performing these analyses and see how they can be applied in a project for Gee Boom Boy to understand emotions in sentences.
# Explore Vertex AI and get an introduction to it. Watch a live demo of house price prediction using Vertex AI and see how it can help solve Inspector Chingum's case with Motu Patlu.
Partner talk: From Central Team to Enterprise-Wide Impact: Leveraging AI for Enhanced Security
Speaker: Sujatha S Iyer
Discover the ideal approach to harness Google Cloud Build for your upcoming CI/CD pipeline
Speaker: Vivek Dhayalan & Sundaravel Loganathan
Summary: # We will explore the most effective strategies for utilizing Google Cloud Build in your next CI/CD pipeline. We will begin by providing an overview of Google Cloud Build and its capabilities, followed by a discussion on the benefits of incorporating it into your CI/CD workflow.
# Next, we will delve into best practices for setting up your Google Cloud Build pipeline, covering topics such as configuring build triggers, optimizing build performance, and managing dependencies. We will also discuss how to integrate Google Cloud Build with popular version control systems and other tools in the Google Cloud Platform ecosystem.
# Finally, we will showcase real-world examples and case studies that demonstrate the success of organizations that have embraced Google Cloud Build for their CI/CD pipelines. This presentation will equip you with the knowledge and insights necessary to make informed decisions about leveraging Google Cloud Build to improve your development and deployment processes, resulting in faster, more efficient, and more reliable software delivery.
Building Scalable, Cost-effective and Serverless Applications on Google Cloud!
Speaker: Kartik Derasari
Summary: We will explore how to leverage the power of serverless computing on Google Cloud to build applications that are scalable, reliable, and cost-effective. We will discuss the various serverless services offered by Google Cloud, such as Cloud Functions and Cloud Run, and learn how to use them to build event-driven applications and deploy containerized applications. We will also delve into the best practices for designing and deploying serverless applications on Google Cloud, including monitoring, debugging, and optimizing performance. Whether you are a developer just starting out serverless or an experienced practitioner looking to enhance your skills, this session will provide you with the knowledge and tools to build modern, cloud-native applications with ease.
Cloud Run services as backends to Load Balancers
Speaker: Anubhav Singh
Summary: In this talk, we'll discuss using Google Cloud Run as a backend for load balancing in the Google Cloud Platform. We'll cover the benefits of Cloud Run, such as automatic scaling, stateless and concurrent processing, integration with Google Cloud services, and cost-effectiveness. Additionally, we'll explore how to set up Cloud Run with Google Cloud Load Balancing for custom domains and SSL termination, enabling you to build highly-scalable and high-performance backend services for your applications.
Securing web applications using Google Cloud Armor
Speaker: Sri Abirami K S
Summary: We will examine an example of a web application that can be targeted by cyber attackers and analyze the consequences and explore why it's crucial to safeguard it from such attacks. Additionally, we will witness a hands-on demonstration of how to secure this web application with the assistance of Cloud Armor.
Fast, Easy, and YAML: Creating Real-time Data APIs with Dozer
Speaker: Abhishek Mishra
Summary: # Do you struggle with building low-latency data APIs that connect to multiple data sources? Dozer can simplify your workflow by implementing a Real-Time SQL Engine that connects to any data source and transforms data in real-time. With Dozer's embedded cache powered by LMDB, you can store data and create secondary indexes automatically. Plus, Dozer generates REST and gRPC APIs instantly, making it easy to combine data sources and create low-latency Data APIs.
# About Dozer: It is an open-source tool that implements a Real-Time SQL Engine that connects to any of your data sources, transforms and stores the data in an embedded cache powered by LMDB, automatically creates secondary indexes and instantly generates REST and gRPC APIs.
# In this talk, we will explore how Dozer can be used to combine data sources in real-time and instantly get low-latency Data APIs. We will also demonstrate how to use Dozer with Python and Postgres to create a real-time data pipeline.
* Introduction to Dozer
* How Dozer works & Its Achitecture
* Use cases for Dozer
* Combining data sources in real-time with Dozer
* Creating a real-time data pipeline with Python and Postgres
Thank you. Networking. Swag
Kumaresan M K
Cloud Integration Architect
Karthikeyan V K
Cloud Native Architect
ML Engineer Intern
Senior Engineer - Quality Assurance
Google Developer Expert for Google Cloud | Full Stack Engineer