In his recent “30 for 30” webinar series marking Delphi’s 30th anniversary this year, Embarcadero Developer Advocate Ian Barker hosted several webinars with a focus on AI tools and the value they can deliver to developers building apps with Delphi, and of course to their customers.
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Table of Contents
AI-Focused Webinars
These webinars are full of insights, so we want to make sure you don’t miss them. Here they are:
1. Beyond Chatbots: Gemini AI for Real-World Business Applications w/ Ian Barker & Christoph Schneider
In this webinar, Embarcadero Developer Advocate Ian Barker and MVP Christoph Schneider discuss how Gemini AI can be integrated into Delphi apps with open-source library FB4D to solve tasks previously unsolvable with algorithms.
The webinar further explores the practical applications of Gemini AI, such as text generation, image interpretation, and document processing. Schneider provides tips on prompt design, emphasizing the importance of clear and precise instructions. He also explains how to configure model parameters like temperature and safety settings to control the output.
The webinar provides a comprehensive overview of Gemini AI and its integration with Delphi through the FB4D library, highlighting its potential to revolutionize business applications.
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How to Use Amazon’s Powerful Rekognition AI Service in Your Apps
In this webinar, Ian Barker and Appercept’s Richard Hatherall show how to integrate Amazon’s Rekognition AI service into Delphi applications, primarily with the enhanced AWS SDK.
The AWS SDK for Delphi is presented as a powerful tool that allows developers to access Amazon Web Services APIs in a Delphi-friendly manner, offering a direct wrapper for these APIs.
One of the key features demonstrated is image analysis using Amazon Rekognition. The video showcases how the SDK can be used to detect and label objects within images, providing bounding boxes and confidence scores for identified objects.
A live demo of the Rekognition service is provided, showing how to use the SDK to interact with the Rekognition API and process the results. The code behind the demo is explained in detail, giving viewers a clear understanding of how to implement this functionality in their own applications.
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Not a Hotdog! How to Use AI Object Recognition in Your Apps
In this webinar, Ian Barker and Appercept’s Richard Hatherall offer a live demonstration of the “Not a Hot Dog” application, a project inspired by the HBO series Silicon Valley. The app, developed using RAD Studio, utilizes the AWS recognition SDK from AEP to perform real-time object recognition. The core functionality involves capturing an image via the device’s camera and sending it to Amazon’s cloud-based recognition service. This service analyzes the image and returns labels, or tags, identifying the objects it detects, along with a confidence score indicating the certainty of each identification.
Barker and Hatherall emphasize the simplicity of integrating AI object recognition into applications using the AWS SDK. Despite the complex technology behind it, the code required to interact with Amazon’s services is surprisingly concise. The webinar also highlights the versatility of the AWS SDK, which extends beyond basic object recognition to include features like facial and celebrity detection, text extraction from images and videos, and even the ability to train custom recognition models.
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