Back in June I attended Practical Introduction into Artificial Intelligence by ASI Data Science as part of London Technology Week. The event was very well structured, and more importantly, perfectly distilled complex theories and processes into a digestible format for a novice like myself. I left feeling like an expert, and was able to confidently re-articulate the evening to others, which I think is very much a sign of a well run event and of course, great instructors. Moreover, as I’m navigating the world of artificial intelligence and machine learning in relation to my role and interests as an Interaction Designer, I’m being intentionally thoughtful regarding the Pareto Principle – I don’t actually need to be an expert, but do want a solid 20% foundational knowledge base.
Anyhow, the evening began with a history of artificial intelligence and the corresponding theories of influential scientists on the topic before launching into a hands-on session in which participants built our own handwriting recognition engine. Key takeaways included a clearer understanding of the relationship between artificial intelligence verse machine learning, a new comprehension of artificial neural networks (see slide below), and insights into what is and is not currently possible relative to real world applications.
Fast forward to this past Tuesday, when I attended a MeetUp by Udacity at Google Campus London on Machine Learning and Bots by Lilian Kasem. Very different content and structure but equally insightful. Lilian’s talk was centered around Bots specifically – from the definition of a bot, to a live coding demo of the creation of a bot in Microsoft Bot Framework, and best bot practices – all while weaving in the integration of machine learning if it adds value (I also appreciate her stress on the if). Her resources in the image below:
In addition to the obvious relevance of these two events to current interaction design trends, they are helping me formulate next steps for two of my current projects, one personal and one professional.
The personal project – Burrito, a marriage bot that analyzes messages between my husband and me to determine who is a better spouse – is currently being refactored into a formal bot for Telegram. Lilian’s talk in particular was very helpful as my project focus as transitioned from theoretical to technical as I am now seeking to create a higher fidelity product and implement better, if not best, programming practices.
The professional project, for which I will intentionally be quite vague, investigates the impact of implicit data on enterprise organizational and technical systems, and in particular, the transition from frictionless to exception based workflows. As an Interaction Designer, I firmly believe it is important to not only empathize with humans, but also technology and its corresponding data because the concept of user – who, what, or where – is increasingly being blurred. Therefore, ASI’s introduction into AI was particular helpful in how I understand, design for, and implement data into my professional practice.
Long story short – two great events! In the coming weeks, I am to write a followup post regarding my technical developments in regards to Burrito bot, but also an online course I began this week to formalize my programming skills relative the Internet of Things.