AI

In this training, we delve into the groundbreaking role of Artificial Intelligence (AI) in revolutionizing customer management practices within Philippine businesses. The session offers a comprehensive exploration of how AI-powered solutions are reshaping the landscape of customer engagement and support, driving unparalleled efficiency, and elevating customer satisfaction to new heights.

Key Topics Covered: Research, Introduction to AI in Customer Management, Personalization and Customer Experience, AI Chatbots: The Future of Customer Support, Predictive Analytics for Business Insights, Sentiment Analysis and Brand Reputation Management, Case Studies and Success Stories and Best Practices and Implementation Strategies.

This session will be exploring the application of some AI-driven tools in each phase of the Secure Software Development Lifecycle.
We will also discuss the considerations when using AI-driven tools (e.g. in Threat Modeling, Source Code Review, Generating Tests and Test Data, and Hardening Deployment Environments).

Discover how to revolutionize your software design and development process with the power of GitHub Copilot and ChatGPT.

In this session, we will explore how these advanced AI tools can assist you in writing cleaner code, speeding up development, and solving complex problems effortlessly. Learn how to leverage GitHub Copilot for auto-completing code snippets, generating boilerplate code, and improving code quality. Additionally, see how ChatGPT can provide instant code reviews, offer design pattern suggestions, and serve as a reliable debugging assistant.

Join us to unlock new levels of productivity and creativity in your development workflow, making software design and development truly painless.

This session will talk about how we attribute human qualities to AI systems and its effects in social engineering.

In this talk, we will look into how you can leverage AI to help you write code based on your coding structure and standards. Learn how to produce less errors from AI generated code.

This is a hands-on session using LLMs on Llama and OpenAI.

More companies over the past few months have started building their own generative AI-powered applications and systems. While some organizations have the capacity, capability, and the budget to set up their own LLM’s in-house, other organizations may opt to a more practical and scalable approach.

In this session, we’ll dive deep into various strategies, techniques, and best practices when building and managing serverless Generative AI applications. This includes setting up a truly serverless RAG-powered Generative AI application as well as making sure that the overall cost of the project does not exceed the allocated budget. At the end of this session, technical professionals would have a better idea on how to pragmatically build and maintain these types of applications and systems.