The Collaborative Edge for AI Assistants in Content Creation Workflows

Join Mrina Sugosh, Developer Relations Manager at CKSource, as she uncovers fascinating insights from a survey of over 1,000 tech professionals, shedding light on the dynamic world of collaborative rich text editing. This session spotlights the transformative potential of collaborative features and LLM powered AI assisted writing in content creation workflows. Over 60% of surveyed users emphasized the critical role of collaboration in their own workflows and an overwhelming majority indicated the necessity for AI assistants. The session will explore the integration of high-demand GPT powered collaborative functionalities such as real-time editing and tracked changes, addressing the customization needs of 600 power users for seamless integration within various frameworks. Attendees will leave the session with a deeper understanding on the future of AI Assisted collaborative editing and how the space is evolving to meet and exceed the expectations of both developers and end-users.

Don't just add AI to your app, make it useful

90% of VC-backed companies are planning to bring generative AI into their apps, with 67% aiming to do so this year. Yet according to Jakob Nielsen, only 20% of the population can effectively use it. How can we bridge this divide? Join Mrina Sugosh as she unpacks the user research and product design decisions that led to the launch of the world’s first AI-powered rich text editor, trusted by 1.5 million developers worldwide.

We’ll peel back the complex realities of bringing AI into content creation apps, including the challenges behind fitting AI into content workflows, and how to deliver a UX that both excites AI power users, but also empowers the AI-shy. Discover not just how to add generative AI to your app, but how to implement it in a way that truly delivers value to users and differentiates you in the marketplace.

Enhancing Angular 17 app with TinyMCE

Best Practices for Interacting with Generative AI APIs and implementing OpenAI in TinyMCE

With so much noise, how do you know you’re integrating AI, the right way? In this session, learn hands-on techniques for adding generative AI into your applications using OpenAI and other APIs.

Join TinyMCE's Developer Relations Manager, Mrina Sugosh for live code demos showing how to make API requests, engineer effective prompts for GenerativeAI APIs like ChatGPT , and seamlessly incorporate AI-generated content into a rich text editor. Discover best practices for choosing the right AI model, controlling output quality, and avoiding biases. Whether you're an engineer looking to implement AI or a business leader exploring its potential, you’ll leave this fast-paced, interactive session with the technical skills to implement generative AI into your app.

AI Writing Assistant for Rich Text Editors

​Calling all JavaScript developers at GuadalajaraJS! In this talk, we will dive deep into the world of Generative AI and unveil the remarkable capabilities of ChatGPT. Discover the crucial role of prompt writing in harnessing ChatGPT's power to create high-quality content. Prepare for an in-depth technical exploration as we share our experiences in developing Tiny MCE's AI Assistant using OpenAI. We will discuss the challenges we faced, the triumphs we achieved, and the valuable lessons learned along the way. Join us for this enlightening session where we'll demonstrate how JavaScript developers can leverage AI to elevate their personal endeavors. Don't miss this opportunity to gain insights into the fascinating intersection of JavaScript and Generative AI! See you there!

What is WYSIWYG?

​Join us for an engaging workshop that delves into WYSIWYG (What You See Is What You Get) and its significance for developers, designers, and tech enthusiasts. This comprehensive session aims to equip you with an in-depth understanding of WYSIWYG, covering essential aspects such as its definition, evaluation of text editors, misconceptions, origins, vital components, and its future landscape.

​Agenda:

​Exploring WYSIWYG: Unveiling the What and Why

​Tracing the Evolution of WYSIWYG: From Origins to Myths

​Anatomy of WYSIWYG: Understanding its Key Components

​Future-Proofing Your Application: Navigating the WYSIWYG Landscape Ahead

IBM Watson Studio(A new way to classify) - Build a classifier using real data models in minutes!

The demand for skills related to data preparation and exploration, modeling and training has never been higher. But where do we even start to learn about all of this?
Introducing IBM Watson Studio! It provides tools for data scientists, developers, and experts to collaborate with data and to build and train models at scale. It is targeted to give the flexibility to build models where the data resides and deploy applications anywhere in a hybrid environment.
This workshop is designed to teach beginners how to set up a simple project in Watson Studio. We will then explore how to create, train, and test a Visual Recognition Model as well as a Natural Language Classifier Model. By simply using the pre-built services, any developer will be able to get their project started in minutes and get a hands-on introduction into the world of Data Science!