User Experience (UX) is King
As an artificial intelligence (AI) consulting firm, Synaptiq understands the importance of user experience (UX). Let’s be honest; AI can be intimidating. People — both consumers and creators — tend to balk at complex, seemingly esoteric terms like “machine learning,” “deep learning,” and “neural networking.”
For better or worse, UX can make or break even the idea of AI for some people. Throw the uninitiated into the deep end without a paddle, and you’ll watch them retreat in a hurry, hesitant to explore it ever again. Only by delivering great UX with effective AI (as Synaptiq does) will you find converts (clients).
How to Get into AI as a UX Practitioner
Years ago, Lisa Peacock, UX practitioner, pitched her vision for a user-friendly AI experience to Stephen Sklarew, a forward-thinking engineer. He swallowed the idea, as Lisa puts it, “hook, line, and sinker.”
Later, when Stephen launched an AI and data services firm (our very own Synaptiq), he asked Lisa to join the team as a UX advisor. She accepted and, today, continues to help us deliver great UX to every client.
In an exclusive, illuminating piece, Why I AI, When I Am UX, Lisa advises budding UX practitioners,
“…stay in touch with people you like and respect. If you like them, you will want to work with them again. If you respect them, they will always be up to something interesting. Keep your network alive with that ilk, and any stepping stones you are looking to jog or pivot to in your journey will always be open to you…”
You can read the full text of Lisa’s popular Medium post by clicking below.
How UX Fits into an AI Project
As we emphasized above, UX is a critical component of any AI project. The purpose of AI is to make work simpler, faster, cheaper, or more efficient — in essence, better — and expecting users to muddle through a labyrinth of incoherent output and unintuitive interfaces fails to advance that MO.
In Why I AI, When I Am UX, Lisa touches on the particular challenges of designing UX for AI:
“As UX practitioners, we had to not only craft journeys that we knew the user was going to experience…but also journeys they might or might not experience based on what the data was unearthing and/or what the machine was learning about a user. There was more data, and therefore more experiences to consider than ever before.”
Here, Lisa explores the reasoning behind Synaptiq’s investment in UX. We understand that AI is only as good as its user-facing interface, and an effective AI model is one that the user (our client) can navigate with ease. That’s why we value UX; to grant clients full access to the potential of our AI and machine learning systems.
In September, our Chief Data Scientist, Tim Oates and Lisa will team up to explore this topic in greater detail. You won’t want to miss this opportunity to learn from their experiences building and designing exceptional smart applications. Click below to sign up.