Keynote: AI-powered Developer Experience

In an era where software is the lifeblood of industries, and the speed of innovation is paramount, developers find themselves on the constant quest for tools that can enhance productivity and creativity. This talk will explore this evolutionary tool that integrates AI seamlessly into the developer workflow, forever changing the landscape of coding.

Unleashing the Power of Serverless Data Lakes

In today’s data-driven world, the traditional management of information faces limitations, prompting the data revolution. AWS, a leader in cloud computing, offers a solution with tools like S3 and Glue for scalable data lakes and Amazon Athena for serverless querying. This talk introduces data lake and serverless concepts, exploring AWS services to empower the audience to optimize data processing efficiency and stay innovative in the data-driven era.

Streamlining Regression Testing: Unveiling Innovative Approaches with AI and Beyond

This talk focuses on how automating regression testing can help achieve speed and quality in software delivery and presents a comparative study of available options. The talk deeply analyses the strengths and weaknesses of Large Language Models (LLMs) for test case generation, considering factors like test coverage, false positives/negatives, and maintenance challenges. Discover more about automating regression testing with minimal overhead and balancing TDD and Test-Generating tools along with Unlogged’s innovative approach to regression testing and its seamless integration into the development process.

Python’s Crystal Ball: Forecasting Volatility with ARCH/GARCH Models

AbARCH/GARCH models are powerful statistical tools are specifically designed to analyze volatility in time series data and forecast future volatility patterns. The talk includes a refresher on Time Series analysis, an overview of ARCH/GARCH models, their significance, configuration, and fine-tuning. It also provides a real-time case study in Python, covering data loading to model evaluation.

AI for Sustainable Development

This talk highlights the vital role of Artificial Intelligence (AI) in addressing sustainable development goals by presenting real-world applications and success stories, encouraging individuals and organizations to harness AI’s potential for positive ecological and societal change. The talk covers how AI-driven solutions enhance resource efficiency, climate resilience, and equitable progress. Key takeaways include understanding AI’s significance in solving sustainability challenges, examining various case studies, and recognizing AI’s role in data-driven decision-making for governments, businesses, and communities to prioritize sustainability efforts.

Create a full-stack application in Flutter and Dart

In the world of online and mobile development, Flutter and Dart have cemented their status as go-to tools for creating eye-catching user interfaces. But what if we could build up our server and APIs using the same tools? Ola Serverpod, a server architecture designed in Dart that is scalable. In-depth discussion of using Serverpod with Flutter to develop a full stack application is provided in this session. Participants will gain knowledge on how to architect a complete server, implement strong APIs, and seamlessly link the front-end and back-end, all inside the comfortable Flutter and Dart ecosystem.

How Hackers Hack Web Applications

The session is designed for individuals interested in entering the field of Web Application Security. The speaker will provide insights into the fundamentals of web application security and address the prevalent web vulnerabilities that are commonly encountered in this domain.

WORKSHOP: Generative AI for SDLC – Deep dive

Leveraging Generative AI for SDLC to improve the productivity and quality, the concept focuses on using Generative AI across various phases of the SDLC, LLM models can augment the Software Engineering Roles with their creative and context based content and code generation capabilities, the session focusses on what AI can do across various phases of SDLC, different techniques and pros & cons.

WORKSHOP: Let’s create a search engine for textbooks (LLM)

The workshop will focus on building a textbook search engine. Participants will learn about embeddings, vector databases and Retrieval Augmented Generation (aka RAG) which are the foundation of many LLM-based search experiences. They will get a hands-on experience to implement the finer details of creating a RAG application with Python: indexing a source in vector database, document retrieval for a given user query and summarizing the results.

During the workshop, we will discover the current LLM tooling ecosystem in Python.