UX for AI

EP. 80 - UX For AI - Why Is It So Relevant Today?

• Bonanza Studios

Share episode

Send us a text

 In this inaugural episode of UX For AI (formerly Bonanza Growth), we dive into the decision behind the podcast's rebranding and the exciting new focus for the show. Join Behrad as they discuss how the rapid advancements in AI technology inspired this shift and what it means for the future of UX design. Discover the role of UX in shaping the AI-native world, the implications for designers and technologists, and what listeners can expect from future episodes. With interviews and insights from leading innovators in AI, this episode sets the stage for an exciting journey into the intersection of user experience and artificial intelligence. 

Interested in joining the podcast? DM Behrad on LinkedIn:
https://www.linkedin.com/in/behradmirafshar/

This podcast is made by Bonanza Studios, Germany’s Premier Digital Design Studio:
https://www.bonanza-studios.com/

00:00:00:02 - 00:00:02:06
Hello and welcome to Bonanza Growth!.

00:00:02:06 - 00:00:05:20
Wait, it says UX for AI...Behrad,

00:00:05:21 - 00:00:07:06
What's going on?

00:00:07:06 - 00:00:08:11
Hello, everyone.

00:00:08:11 - 00:00:12:07
Pavarotti's here from Bonanza Studios,

00:00:12:12 - 00:00:17:12
and I'm here to break out to a new announcement.

00:00:17:13 - 00:00:23:02
As you might have noticed, when the new episode

00:00:23:02 - 00:00:26:13
and this podcast popped up on your feed, that

00:00:26:20 - 00:00:30:10
the name of the podcast has changed

00:00:30:18 - 00:00:33:12
used to be for across,

00:00:33:12 - 00:00:39:09
but now it's renamed to you X for a I.

00:00:39:15 - 00:00:42:11
And the purpose of this episode

00:00:42:11 - 00:00:47:04
is to talk about why we made this shift

00:00:47:10 - 00:00:51:18
and what you are going to expect from now on

00:00:51:18 - 00:00:54:18
in terms of content.

00:01:00:10 - 00:01:03:23
Since really 2023

00:01:04:00 - 00:01:08:19
and the avalanche of AI

00:01:08:21 - 00:01:12:12
breaking news, ChatGPT has done

00:01:12:12 - 00:01:16:05
that, Google has done that on Twitter.

00:01:16:06 - 00:01:19:20
Now x introduce grok this, put together

00:01:19:20 - 00:01:24:03
a massive warehouse for training in 21 days.

00:01:24:03 - 00:01:30:16
So I feel like we got to a moment in technological history

00:01:30:16 - 00:01:33:20
that it got very difficult

00:01:33:20 - 00:01:36:23
to keep up with AI news.

00:01:37:06 - 00:01:38:08
I remember

00:01:39:10 - 00:01:42:10
the early days of ChatGPT that

00:01:43:02 - 00:01:47:07
I, I believe within the first week,

00:01:47:15 - 00:01:50:23
a ridiculous amount of people signed up for it.

00:01:51:03 - 00:01:57:10
Brick broke all the records for any sign ups in a week for B2B.

00:01:58:09 - 00:02:01:01
And when that happened, when I started

00:02:01:01 - 00:02:04:01
working and playing with this ChatGPT,

00:02:04:09 - 00:02:09:06
I guess I was very I saw the potential of it

00:02:09:06 - 00:02:13:06
and well, this could do this for me, translate, write text for me.

00:02:13:17 - 00:02:16:01
But I think

00:02:16:01 - 00:02:21:04
the real gem or real benefits of it

00:02:21:19 - 00:02:24:12
did not come into fruition

00:02:24:12 - 00:02:27:12
until later versions of ChatGPT,

00:02:28:16 - 00:02:32:02
especially now, which are GPT four and for all of their

00:02:32:02 - 00:02:36:03
really stable and reliable versions, they are.

00:02:36:09 - 00:02:42:00
They are a model that you could really build

00:02:42:00 - 00:02:45:07
groundbreaking applications on it

00:02:45:19 - 00:02:48:19
and could.

00:02:49:02 - 00:02:53:03
Open up $1 billion markets for

00:02:54:12 - 00:02:57:12
new startups.

00:03:01:00 - 00:03:02:06
As a product studio,

00:03:02:06 - 00:03:05:06
as a product innovation studio,

00:03:06:05 - 00:03:09:05
we have a practice. We.

00:03:11:17 - 00:03:13:15
Have the recipe, so to speak.

00:03:13:15 - 00:03:17:14
We follow our own processes and we try to basically

00:03:18:13 - 00:03:21:13
make sense of latest technology,

00:03:21:18 - 00:03:25:01
integrate them into our processes

00:03:25:01 - 00:03:29:21
and service delivery, and help our clients to

00:03:31:02 - 00:03:32:10
leverage new technology.

00:03:32:10 - 00:03:36:19
That's what Innovation Studio should do and would do.

00:03:36:19 - 00:03:41:03
And not doing that is a recipe for

00:03:42:23 - 00:03:43:17
disaster.

00:03:43:17 - 00:03:46:17
I would say.

00:03:46:20 - 00:03:50:09
It's not merely it's not about no.

00:03:50:10 - 00:03:52:09
If I want to rephrase it, it's not.

00:03:52:09 - 00:03:54:07
It's not about recipe for disaster.

00:03:54:07 - 00:03:59:13
But as an innovation studio, not being able, not being able to make

00:03:59:13 - 00:04:02:18
sense of latest innovation

00:04:02:18 - 00:04:05:21
for clients and what the hell are we doing?

00:04:06:17 - 00:04:09:21
So we've been observing this path, this

00:04:10:02 - 00:04:14:20
AI revolution path, very closely. And

00:04:16:02 - 00:04:17:07
seeing what

00:04:17:07 - 00:04:20:06
has been in the works, what applications

00:04:20:06 - 00:04:23:06
are being introduced and.

00:04:24:12 - 00:04:26:17
Still, I think

00:04:26:17 - 00:04:29:03
the breakthrough application

00:04:29:03 - 00:04:34:07
when it comes to a AI is ChatGPT, if you ask me,

00:04:34:23 - 00:04:37:20
and now

00:04:37:20 - 00:04:41:05
and nowadays, increasingly we see a lot of successful

00:04:41:05 - 00:04:46:02
other examples, applications that leverage AI very well.

00:04:46:19 - 00:04:50:15
There are Copilot for for example, developers.

00:04:50:15 - 00:04:53:12
That's something that are really useful.

00:04:53:12 - 00:04:57:01
There are and and numerous amount of no code

00:04:57:02 - 00:05:03:05
AI app development that's somewhat useful, somewhat useless.

00:05:04:02 - 00:05:07:02
There are workflow,

00:05:07:04 - 00:05:11:15
application that allow you to integrate AI in complex workflows

00:05:11:15 - 00:05:16:05
and do very complex tasks that require a series of,

00:05:17:00 - 00:05:19:23
actions come together

00:05:19:23 - 00:05:21:01
across the board.

00:05:21:01 - 00:05:23:16
We see,

00:05:23:16 - 00:05:26:11
applications that coming in.

00:05:26:11 - 00:05:29:14
Don't get me started on hard science,

00:05:29:14 - 00:05:32:18
how AI helps on that front Gen

00:05:32:19 - 00:05:35:21
AI is basically reshaping

00:05:35:21 - 00:05:38:21
how marketing and sales

00:05:39:05 - 00:05:42:10
are being done today. So.

00:05:45:16 - 00:05:48:19
See yourself in our shoes,

00:05:49:22 - 00:05:54:21
put your surfing, put your foot in our shoes and see what you can do.

00:05:55:08 - 00:05:56:22
Of course.

00:05:56:22 - 00:06:00:09
We had to address the elephant, the room, the AI.

00:06:01:09 - 00:06:05:03
So we had to make this hard decision

00:06:05:03 - 00:06:09:00
this year to see where we should be focusing

00:06:09:00 - 00:06:14:23
for the next year or next year, and, well, I that's the answer.

00:06:14:23 - 00:06:18:18
But a company, without respecting

00:06:18:18 - 00:06:22:15
its core legacy and capabilities is not a company.

00:06:22:15 - 00:06:31:01
So we cannot make the mistake that. You.

00:06:37:04 - 00:06:38:09
Jaguar made

00:06:38:09 - 00:06:42:04
and completely with their new rebrand,

00:06:42:18 - 00:06:45:17
wiped out the legacy and the history of Jaguar.

00:06:45:17 - 00:06:47:06
We don't want to do this.

00:06:47:06 - 00:06:50:06
And we, you know, as creatives,

00:06:50:09 - 00:06:53:09
we live and breathe UX.

00:06:54:02 - 00:06:59:11
So UX for AI, the new name of the podcast.

00:06:59:11 - 00:07:02:21
And this podcast is going to be focusing on

00:07:03:08 - 00:07:07:17
AI, big breakthrough innovation, hopefully

00:07:08:06 - 00:07:13:14
as much as we can on the application layer and the infrastructure layer

00:07:13:14 - 00:07:17:22
when it comes to data processing and and training

00:07:17:23 - 00:07:22:14
and having basically on the compute level, you are not that much interested.

00:07:22:22 - 00:07:27:00
I think there is a lot of other folks eligible to run a podcast

00:07:27:06 - 00:07:31:02
to talk about those aspects of AI development.

00:07:31:02 - 00:07:35:00
We are more interested in, observing

00:07:35:05 - 00:07:38:05
the innovation on the application layer.

00:07:38:16 - 00:07:39:17
And I think.

00:07:43:21 - 00:07:46:21
The role of UX

00:07:47:03 - 00:07:50:11
in shaping the AI native

00:07:50:11 - 00:07:53:11
world is going to be tremendous.

00:07:54:05 - 00:07:57:07
When ChatGPT break out.

00:07:58:21 - 00:08:03:06
In about two years now, I wasn't sure

00:08:04:01 - 00:08:07:01
what's going to happen to UX where it's going to go.

00:08:07:04 - 00:08:10:04
I was a bit skeptical about the future of UX.

00:08:12:17 - 00:08:15:17
Time has enough past for me to

00:08:16:15 - 00:08:19:03
arrive at the conclusion, and the conclusion

00:08:19:03 - 00:08:22:03
is an optimistic one for UX designers.

00:08:22:10 - 00:08:25:10
I think now more than ever,

00:08:27:05 - 00:08:28:12
we need UX.

00:08:28:12 - 00:08:30:07
Here's

00:08:30:07 - 00:08:32:12
technologist,

00:08:32:12 - 00:08:34:14
human centric designers

00:08:34:14 - 00:08:38:01
to come in and make sense of

00:08:39:02 - 00:08:42:23
applications in the AI native world.

00:08:43:08 - 00:08:46:08
Because when you think about the architecture of

00:08:46:21 - 00:08:51:00
a typical SaaS application in AI,

00:08:51:21 - 00:08:54:21
her compared to the post AI,

00:08:56:01 - 00:08:58:18
you see massive breakthroughs.

00:08:58:18 - 00:09:03:01
So when you think about a traditional application, you have,

00:09:04:02 - 00:09:07:02
a there are three components

00:09:07:17 - 00:09:12:01
algorithm or recipe or its unique source of the application.

00:09:12:01 - 00:09:14:09
They do something really unique.

00:09:14:09 - 00:09:15:19
You want it.

00:09:15:19 - 00:09:18:19
There are certain programing happening on the backend,

00:09:19:14 - 00:09:22:14
and there is compute.

00:09:31:12 - 00:09:35:16
The the first two components, she's like

00:09:36:18 - 00:09:39:18
secret sauce and programing

00:09:40:09 - 00:09:45:15
is in the AI native world is going to be fully

00:09:45:15 - 00:09:49:15
or to a great extent integrated

00:09:49:15 - 00:09:53:10
into AI layer. So.

00:09:56:00 - 00:09:57:02
What do I mean by it.

00:09:57:02 - 00:10:00:18
Is that you can easily integrate

00:10:01:06 - 00:10:06:01
the entire or big portion of your recipe, your secret sauce,

00:10:06:15 - 00:10:09:19
and all the rules and logics that you need

00:10:10:17 - 00:10:13:00
for the secret sauce,

00:10:13:00 - 00:10:16:00
your algorithm to be delivered

00:10:16:01 - 00:10:20:00
to it, to deliver something useful for your users.

00:10:20:15 - 00:10:23:12
It could go into your prompt layer

00:10:23:12 - 00:10:26:12
on the AI.

00:10:27:07 - 00:10:30:01
Up on the AI alarm

00:10:30:01 - 00:10:34:17
that you are using ChatGPT lamb or whatever the case may be.

00:10:35:06 - 00:10:40:11
So essentially, I think, you know, there was an interview

00:10:42:06 - 00:10:45:04
from.

00:10:45:04 - 00:10:47:11
There was an interview with,

00:10:47:11 - 00:10:50:11
Microsoft CEO

00:10:50:11 - 00:10:53:11
and he laid out really well, actually,

00:10:53:21 - 00:10:56:21
when you look at the,

00:10:57:01 - 00:11:00:01
typical architecture of a SaaS application,

00:11:00:06 - 00:11:02:05
they are following Crud databases.

00:11:02:05 - 00:11:05:05
So create,

00:11:05:20 - 00:11:08:09
read, update and delete.

00:11:08:09 - 00:11:11:14
So that's what it happens on the database layer.

00:11:12:14 - 00:11:16:01
And basically a SaaS application.

00:11:16:01 - 00:11:18:20
There are fancy lists, right.

00:11:18:20 - 00:11:23:17
And. And.

00:11:25:17 - 00:11:28:17
I can do it to a great extent

00:11:28:22 - 00:11:31:22
I especially on the prompt layer,

00:11:31:23 - 00:11:38:05
you could tell what the application does and how you can update the database

00:11:38:05 - 00:11:41:08
as you see certain inputs and outputs being created.

00:11:44:01 - 00:11:46:06
So in this world

00:11:46:06 - 00:11:49:13
we're the role of programing

00:11:49:13 - 00:11:53:03
is going to diminish or reduce

00:11:54:01 - 00:11:56:22
to a great extent.

00:11:56:22 - 00:11:59:16
Interfaces will be simplified

00:11:59:16 - 00:12:05:06
and will be become way more flexible to the needs of users.

00:12:05:06 - 00:12:07:23
So especially if you for example as a user,

00:12:07:23 - 00:12:11:18
if you your prompt is about okay, tell me about

00:12:12:09 - 00:12:15:13
stock performance of Apple De.

00:12:15:13 - 00:12:20:08
I knows that it needs to offer you some charts and pull components

00:12:20:08 - 00:12:24:04
charts component from it, from the library, from,

00:12:24:06 - 00:12:28:01
let's say your React.js library, and then fill up the.

00:12:30:01 - 00:12:33:01
Charts component.

00:12:35:01 - 00:12:36:00
Based on

00:12:36:00 - 00:12:39:09
what's available on the database and present you.

00:12:39:19 - 00:12:43:02
So basically, the future of UX

00:12:43:02 - 00:12:46:07
is going to be interface less.

00:12:47:09 - 00:12:50:20
You need to focus a lot more on documentation

00:12:51:10 - 00:12:54:10
and navigating AI behavior.

00:12:56:23 - 00:12:59:23
Interfaces will be

00:13:00:12 - 00:13:02:14
fluid, meaning

00:13:02:14 - 00:13:06:15
that based on every prompt, you need to be able to put together

00:13:07:01 - 00:13:09:18
the interface the user could interact

00:13:09:18 - 00:13:12:18
with and

00:13:12:22 - 00:13:15:09
the experience will be multimodal.

00:13:15:09 - 00:13:20:11
So it's not going to be only, screen based in the interaction

00:13:21:05 - 00:13:23:13
or interface.

00:13:23:13 - 00:13:25:08
There is going to be screen

00:13:25:08 - 00:13:28:17
real time screening or screen streaming.

00:13:28:22 - 00:13:32:21
So you can talk to the AI and they would see the same thing that you would see.

00:13:33:07 - 00:13:36:17
It would be a voice, it will be video, it will be text.

00:13:37:19 - 00:13:42:15
It would be tactile sensory inputs most likely.

00:13:44:00 - 00:13:47:00
So that

00:13:47:00 - 00:13:51:23
there is a lot to be made sense of how we are going to design

00:13:51:23 - 00:13:54:23
the interaction of the user

00:13:55:01 - 00:13:59:18
with the AI and also with the software.

00:14:00:02 - 00:14:00:10
Right?

00:14:00:10 - 00:14:03:10
So that's

00:14:04:01 - 00:14:06:09
calling for UX designers.

00:14:06:09 - 00:14:11:15
So UX designers, especially the role they are playing in and they are in native

00:14:11:15 - 00:14:14:18
world fields, become more and more,

00:14:15:18 - 00:14:17:21
prominent in my opinion.

00:14:17:21 - 00:14:20:21
I like to be proven wrong.

00:14:21:01 - 00:14:23:15
I wish shall see how it plays out.

00:14:23:15 - 00:14:30:11
But the way I'm thinking about it and the the fact that AI native world

00:14:30:11 - 00:14:34:04
is completely different from PA native word,

00:14:35:06 - 00:14:38:22
probably it's going to keep UX

00:14:38:22 - 00:14:41:22
designers creative technologists

00:14:42:01 - 00:14:45:01
busy for a long while.

00:14:45:23 - 00:14:50:07
And we are going to focus solely on.

00:14:52:14 - 00:14:55:04
This path

00:14:55:04 - 00:14:59:05
how you pics of AI is going to play out.

00:15:00:02 - 00:15:03:20
So we are going to invite technologies folks that are working with

00:15:03:21 - 00:15:08:22
AI to the podcast, talk about what they are working on, what are developing,

00:15:09:12 - 00:15:12:12
and how they are using AI to do

00:15:12:17 - 00:15:15:02
to the best of their capabilities.

00:15:16:09 - 00:15:17:03
It's going to be a

00:15:17:03 - 00:15:20:13
very exciting journey, one that I cannot wait to begin.

00:15:21:03 - 00:15:24:03
We are already booking initial interviews.

00:15:25:04 - 00:15:28:22
Except more update from this podcast.

00:15:29:08 - 00:15:33:02
We've been a bit in the soul searching mode for the past

00:15:33:02 - 00:15:37:10
couple of months to understand what do we want to do with this podcast?

00:15:39:06 - 00:15:42:03
I think that's the track.

00:15:42:03 - 00:15:45:03
That's the path that gets me excited the most.

00:15:45:10 - 00:15:49:02
So until our first

00:15:50:03 - 00:15:53:11
episode with the guest episode

00:15:53:11 - 00:15:56:11
that we invite,

00:15:57:05 - 00:15:59:16
a founder Technologies

00:15:59:16 - 00:16:02:18
to come talk about what they're doing with AI.

00:16:03:10 - 00:16:06:10
I wish you all.

00:16:07:00 - 00:16:08:08
A great New Year.

00:16:08:08 - 00:16:11:16
I hope that is going to be a fantastic

00:16:12:06 - 00:16:14:21
year, one filled with adventures

00:16:14:21 - 00:16:17:21
and new learnings for you.

00:16:18:05 - 00:16:20:01
And we see each other so.