Latest / The DEX Show: A Show for IT Change Makers / 🎙️ Reality Bytes: Our Everyday AI Use (Personal & Professional)

Transcript

🎙️ Reality Bytes: Our Everyday AI Use (Personal & Professional) · The DEX Show: A Show for IT Change Makers

• 0:01
  Speaker 1: Welcome item change Makers to the Deck Show with Tim
• 0:05
  Speaker 1: Flower and Tom McGraw. Let's get into it.
• 0:08
  Speaker 2: They change Makers. It's the Deck Show, show within a show,
• 0:11
  Speaker 2: reality bias. It's a panel edition. It's been so long
• 0:15
  Speaker 2: since we bought everyone together, well before the summer, I think, Tim, Yeah,
• 0:20
  Speaker 2: we've got we've got almost everyone here.
• 0:22
  Speaker 3: Man, We've got We've got Sean, We've got Tim.
• 0:25
  Speaker 2: Of course, we've got Dina, We've got Megan Oriana could
• 0:28
  Speaker 2: have made it, but otherwise an almost full house. Tim,
• 0:30
  Speaker 2: it's good to see everyone again.
• 0:31
  Speaker 3: Yeah, it really is. Yeah, it's a cool summer, a
• 0:34
  Speaker 3: little bit quiet in some fronts, but it's good to
• 0:36
  Speaker 3: see you. Good to see everybody.
• 0:38
  Speaker 2: And you will notice if you're listening to this show right,
• 0:42
  Speaker 2: but this is we've been doing a series to basically
• 0:44
  Speaker 2: celebrate the launch of AI Drive because it is a
• 0:48
  Speaker 2: it is a phenomenal new next thing unveiling, and we've
• 0:52
  Speaker 2: a series of shows from I Think I hopefully are
• 0:54
  Speaker 2: very refreshingly distinct perspectives the tackle the kind of topic
• 0:58
  Speaker 2: of AI transformation and hopefully people enjoyed last week's episode
• 1:03
  Speaker 2: with Charlie and that was that was a lot of
• 1:05
  Speaker 2: fun and we thought today, since we have everybody almost
• 1:09
  Speaker 2: everybody together again, we would take a slightly different tack
• 1:12
  Speaker 2: and rather than delve into AI dex and all the
• 1:16
  Speaker 2: nitty gritty, which we covered quite extensively for interviews with
• 1:19
  Speaker 2: the likes of Matt Rose and Charlie Nee, etc. We
• 1:22
  Speaker 2: thought we would just bring the team together and ask,
• 1:24
  Speaker 2: how is AI, say, in the last twelve months, how
• 1:27
  Speaker 2: is it changing your life? How is it changing your
• 1:29
  Speaker 2: work life? Because speaking for myself, Tim, there has been
• 1:33
  Speaker 2: an impact. You know, there's been an impact professionally and personally.
• 1:38
  Speaker 2: I just I posted about this on LinkedIn yesterday. But
• 1:42
  Speaker 2: I had this eerie experience now two days ago where
• 1:46
  Speaker 2: I was on like, I was on my help talking
• 1:48
  Speaker 2: to my health insurer, and I was on the customer
• 1:51
  Speaker 2: helpline right and I was just asking a couple of questions,
• 1:54
  Speaker 2: and I suddenly froze, and I suddenly thought, I'm not
• 1:57
  Speaker 2: sure if I'm talking to an AI or not. I'm
• 2:01
  Speaker 2: not positive.
• 2:02
  Speaker 3: And I was just so cree with con turn. I
• 2:04
  Speaker 3: didn't think you were going to say that. I thought
• 2:06
  Speaker 3: you were gonna say, I'm not sure I'm asking all
• 2:08
  Speaker 3: the right questions. Let me go do some more research.
• 2:10
  Speaker 3: I didn't realize you it's the opposite.
• 2:13
  Speaker 2: The thing is the person we ever end of the
• 2:15
  Speaker 2: line had like quite an authentic sounding of a person
• 2:18
  Speaker 2: of AI had quite authentic sounding Scottish accent, quite a
• 2:20
  Speaker 2: strong Scottish accent.
• 2:22
  Speaker 3: Which kind of put me off. Do you know what
• 2:24
  Speaker 3: I mean?
• 2:25
  Speaker 2: It sounds credible? And then I was suddenly like there
• 2:27
  Speaker 2: was a little too much pause between everything that was
• 2:29
  Speaker 2: set and everything was said was a little too flat,
• 2:33
  Speaker 2: a little depredictable, And I suddenly like, wow, are they
• 2:36
  Speaker 2: camouflaging the AI with like a strong regional accent.
• 2:40
  Speaker 3: I won't be able to come up with them, but
• 2:41
  Speaker 3: I've heard people creating questions to test AI to see
• 2:46
  Speaker 3: if it's an actual human or not. There's some things
• 2:48
  Speaker 3: that it won't be able to answer or well I
• 2:51
  Speaker 3: posted about to him because I was only thought of
• 2:52
  Speaker 3: it afterwards, which is like what could have been?
• 2:54
  Speaker 2: What how could I have Because it's rude to be like, U, AI.
• 2:58
  Speaker 3: Who I'm the President of the United States? That I
• 3:02
  Speaker 3: was going to say, are you looking forward to your lunch?
• 3:04
  Speaker 2: Like blade Runner style, try and elicit some human emotion? Right?
• 3:09
  Speaker 3: That would be we get.
• 3:10
  Speaker 4: Into the field kind of questions, right, how do you
• 3:13
  Speaker 4: feel about? What was your reaction towards that? Even the
• 3:18
  Speaker 4: reaction question could be a bit of a mirroring one.
• 3:21
  Speaker 4: But if it starts to become genuine and conscious related
• 3:25
  Speaker 4: or feelings related, that's going to be the easiest one.
• 3:27
  Speaker 4: In however, there they're lord learning, they are growing and learning.
• 3:31
  Speaker 2: Yeah, it's going to be a game going forward, isn't it?
• 3:34
  Speaker 2: Trying to discern the real from the fake? And it's
• 3:36
  Speaker 2: going to be like I think a pastime of some sort,
• 3:39
  Speaker 2: you know, maybe like a game show is where people
• 3:41
  Speaker 2: have to, like, you know, they're confronted with you know, real, which.
• 3:45
  Speaker 3: Is will the real human please stand up?
• 3:47
  Speaker 2: Have we just come up with a killer? A killer
• 3:50
  Speaker 2: twenty first century, twenty twenty five game show idea? Everyone,
• 3:53
  Speaker 2: just a few minutes into reality, bikees, we're already knocking
• 3:56
  Speaker 2: out of the park everyone, Dina God, I know you're
• 3:58
  Speaker 2: going to have some good so so on with the
• 4:00
  Speaker 2: theme of the show. Properly speaking, data, I know you're
• 4:04
  Speaker 2: you're intrepid when it comes to technology. How has AI
• 4:07
  Speaker 2: been transforming your work life? Would you say most most pronouncedly.
• 4:12
  Speaker 4: So, the speed and scale of drafting and research is
• 4:16
  Speaker 4: becoming quicker, So it's impressive in that aspect, the personalization scale,
• 4:20
  Speaker 4: where you're able to learn quicker onboard quicker and do
• 4:26
  Speaker 4: more more collaborative fast off with everybody else in that sense,
• 4:30
  Speaker 4: if you want or put everything in a nicer, consolidated way.
• 4:36
  Speaker 4: That's where it's been the balance between both how I'm
• 4:40
  Speaker 4: using it at work and how I'm using it on
• 4:42
  Speaker 4: the personal level. It's just a mix of both. However,
• 4:45
  Speaker 4: I go into those kind of conversational aspects, whether you're
• 4:49
  Speaker 4: like you, like you mentioned on LinkedIn or other platforms,
• 4:52
  Speaker 4: there are ones now where you can mimic or prepare
• 4:54
  Speaker 4: for a conversation that you're going to have with a
• 4:57
  Speaker 4: specific persona or on a specific topic, and you can
• 5:00
  Speaker 4: and tackle yourself. At the end of the day, you
• 5:02
  Speaker 4: get a script that would give you FAQs, questions and answers.
• 5:06
  Speaker 4: It's not about how to be smarter. And this is
• 5:09
  Speaker 4: where it's going to become an interesting challenge later on
• 5:12
  Speaker 4: when you're doing interviews. At least to go beyond the
• 5:16
  Speaker 4: skills that people have, you need to go to the
• 5:18
  Speaker 4: other skills. Do they have the capability to actually learn?
• 5:22
  Speaker 4: Do they know how to keep on learning. This is
• 5:24
  Speaker 4: one of the skills we need to keep on teaching
• 5:26
  Speaker 4: people and look for look for the human fingerprint. What
• 5:30
  Speaker 4: really makes people people to be differentiating them amongst theis
• 5:35
  Speaker 4: rights and I think I wrote over in our chat,
• 5:37
  Speaker 4: it's not humans versus the machine anymore. It's humans versus
• 5:41
  Speaker 4: humans who are capable and empowered of using AI, integrating
• 5:45
  Speaker 4: them in their day to day or not becoming cyborgs.
• 5:48
  Speaker 3: You know.
• 5:49
  Speaker 4: I'm all about the matrix and all that, but we
• 5:52
  Speaker 4: need to be able to differentiate more and more. It's
• 5:55
  Speaker 4: becoming harder because they are becoming smarter and more more
• 6:01
  Speaker 4: exposed than we are. I think we just need to
• 6:04
  Speaker 4: go back to the core of making humans humans, the
• 6:06
  Speaker 4: empathetic aspects of us feelings. Like mentioned earlier on expressions
• 6:12
  Speaker 4: like that, this is where our consciousness is going to prevail,
• 6:16
  Speaker 4: I would like to say, and this is where it's been.
• 6:19
  Speaker 4: It's been. It's been fantastic to use it. The irritating
• 6:22
  Speaker 4: or challenging part have been in the double checking, in
• 6:26
  Speaker 4: the context switching and the hallucinations for sure, the fragmentation
• 6:31
  Speaker 4: and the cognitive aspect of how things are being replied
• 6:35
  Speaker 4: back to us and the dependency blind spots. Sometimes they
• 6:38
  Speaker 4: don't know the correlation or dependency, which is an area
• 6:41
  Speaker 4: for improvement. This is where they are at now, let's
• 6:44
  Speaker 4: see how they will be in six monthly.
• 6:47
  Speaker 2: Do you have any guardrails dinner with regards to like
• 6:49
  Speaker 2: the qualitative aspect of work?
• 6:52
  Speaker 3: Do you know what I mean? Like when you're engaging
• 6:54
  Speaker 3: with AI?
• 6:54
  Speaker 2: How do you how do you know? Is it just
• 6:56
  Speaker 2: a question of scrupulosity or are they certain habits which
• 7:00
  Speaker 2: keep ensuring that your work retains its personal imprint?
• 7:04
  Speaker 5: You know where?
• 7:05
  Speaker 4: Don't over AI things, even if you're asking AI to say,
• 7:08
  Speaker 4: keep it in a human tone, in a nice, warm aspect.
• 7:12
  Speaker 4: This is not what makes it human. It's still machine
• 7:14
  Speaker 4: replying right, mimicking things. But to do that is to
• 7:18
  Speaker 4: reflect on the integrity part, on the disciplinary part, on
• 7:23
  Speaker 4: keeping the rules and the guards in how to make
• 7:26
  Speaker 4: your conversation compliant. Right, I can have a very well
• 7:29
  Speaker 4: constructed piece of poetry. Right doesn't mean that it's going
• 7:33
  Speaker 4: to beautiful, doesn't mean that it's art. With all of
• 7:35
  Speaker 4: the new tools now that keeps on coming up with
• 7:38
  Speaker 4: every second hour more or less on how to make
• 7:41
  Speaker 4: images and everything more visually nice. But behind that visually
• 7:47
  Speaker 4: pretty looking like image. It doesn't mean that there's an artist.
• 7:51
  Speaker 4: It's just an algorithm trying to follow the Golden ratio
• 7:55
  Speaker 4: and the rules of how to create things in a
• 7:57
  Speaker 4: right manner. But you need to have your fingerprint. That's
• 8:00
  Speaker 4: why I like call out for everybody to try and
• 8:03
  Speaker 4: see their fingerprint, work on their own fingerprint, to keep
• 8:06
  Speaker 4: that email aspect. Even when you see it, even if
• 8:10
  Speaker 4: it's a bit AI, you'll know that it's still coming
• 8:12
  Speaker 4: from me or from Tim or any of the other guys.
• 8:16
  Speaker 2: I'm considering getting an email signature that says no AI
• 8:19
  Speaker 2: was used in a conversation of his email. Yeah.
• 8:22
  Speaker 4: Well, it's going to be the invert. Yeah, it's gonna
• 8:24
  Speaker 4: be the invert of every prompt that you create, right.
• 8:26
  Speaker 2: Which I'm going to use AI for all of them.
• 8:28
  Speaker 4: Yeah, okay, but yeah.
• 8:30
  Speaker 2: We had a we had a we had a cool
• 8:32
  Speaker 2: I had.
• 8:32
  Speaker 3: A interview Tim con't make it so early in the
• 8:34
  Speaker 3: morning with Charlie and you.
• 8:36
  Speaker 2: I mentioned earlier Tim he spoke to a year ago, right,
• 8:40
  Speaker 2: the that's actually the AI theorist, right, And she was
• 8:45
  Speaker 2: saying that more recently she'd done free lay. So she'd
• 8:48
  Speaker 2: asked her AI to describe her with increasing layers of
• 8:53
  Speaker 2: depth on layer two layer free layer and then to
• 8:57
  Speaker 2: write write I quote write A to her soul. Wow.
• 9:02
  Speaker 2: And she said that the letter moved her to tears,
• 9:05
  Speaker 2: which was really powerful. And it reminded me, Meghan of
• 9:08
  Speaker 2: the initial AI use case that you brought to the show.
• 9:12
  Speaker 2: Just what was a few months ago, right, which was
• 9:14
  Speaker 2: AI's first practical use case was as a therapist, wasn't it?
• 9:18
  Speaker 5: Yeah? Yeah, oh yeah, when I wrote that article about
• 9:21
  Speaker 5: the Hills Rey of AI, yeah, it was. Yeah, it
• 9:24
  Speaker 5: was one of the first calling that model. AI was
• 9:28
  Speaker 5: probably overstating it, but yeah, yeah, but I think I
• 9:31
  Speaker 5: can't remember when that was. Sometime in the mid twentieth century,
• 9:34
  Speaker 5: they created a chatbot that could have therapeutic conversations. Basically,
• 9:38
  Speaker 5: it was very simple. It still exists somewhere online, just
• 9:41
  Speaker 5: by like asking you and why do you feel that way,
• 9:43
  Speaker 5: like just kind of spitting your statements back to you
• 9:46
  Speaker 5: as a question or a follow on. But people really
• 9:49
  Speaker 5: believed it and used it, and yeah, we know now
• 9:51
  Speaker 5: people are using chat ChiPT as their therapist and it's
• 9:53
  Speaker 5: causing all kinds of problems and it's definitely not a
• 9:56
  Speaker 5: strong use case for chat chupt, but it's.
• 9:59
  Speaker 2: Being what are your favorite AI use cases personally? How
• 10:03
  Speaker 2: has it most changed your habits of work or life.
• 10:07
  Speaker 5: I tried to only use chattypt at work. I try
• 10:10
  Speaker 5: not to use it in my personal life. I will
• 10:12
  Speaker 5: admit I used it to design my or I had
• 10:16
  Speaker 5: it write me out a training a nutrition plan for
• 10:19
  Speaker 5: my triathlon that I did, but that was just a
• 10:22
  Speaker 5: one time a one time used. But yeah, at work,
• 10:25
  Speaker 5: I think chetchibt is actually a pretty good marketing copywriter
• 10:28
  Speaker 5: for like basic stuff like I'll write me a landing
• 10:30
  Speaker 5: page for this, and if you give it detailed notes
• 10:32
  Speaker 5: and a detailed prompt in terms of the tone and
• 10:35
  Speaker 5: voice you wanted to use, who your target audience is,
• 10:37
  Speaker 5: what the purpose is of the content you're looking for,
• 10:40
  Speaker 5: it does a pretty good job of giving you something
• 10:42
  Speaker 5: you can edit into something that something a human might
• 10:44
  Speaker 5: have written. So I use it for that kind of
• 10:47
  Speaker 5: quick copywriting, I will admit, so I don't have to
• 10:49
  Speaker 5: do it myself, and that it has actually sped up
• 10:52
  Speaker 5: my ability to work quite significantly, right because copywriting takes time,
• 10:56
  Speaker 5: and it doesn't take chatchipat anytime at all. So being
• 10:58
  Speaker 5: able to just sort of stick a document of notes
• 11:01
  Speaker 5: in there and ask it to create something is really useful.
• 11:04
  Speaker 5: But I I am more of an AI skeptic probably
• 11:07
  Speaker 5: than a lot of the other people on the call,
• 11:09
  Speaker 5: so I try not to use it over much o A.
• 11:13
  Speaker 3: Much lovely word, Megan, I don't hear enough. Yeah.
• 11:17
  Speaker 2: Interesting, So yeah, you'll keep you're kind of keeping that
• 11:19
  Speaker 2: distance of your personal life kind of purposely intentionally.
• 11:23
  Speaker 3: Right, very much so.
• 11:24
  Speaker 5: Yeah, for several reasons.
• 11:25
  Speaker 3: Yeah, yeah, yeah, yeah, all of which are good.
• 11:28
  Speaker 2: What about you, Timmy, if you got a boundary in
• 11:30
  Speaker 2: there yourself or you Gong.
• 11:32
  Speaker 3: Oh, no boundary, there's somebody there's some privacy boundaries, right,
• 11:36
  Speaker 3: you consider what what am I sharing? Right? I don't.
• 11:39
  Speaker 3: I don't put up my social Security number or personal information.
• 11:42
  Speaker 3: But I do use it as a creative collaborator. I
• 11:45
  Speaker 3: like the thought of not asking it to do my
• 11:48
  Speaker 3: work for me, but ask it to do some of
• 11:50
  Speaker 3: the thinking for me. Right, I use it as that
• 11:53
  Speaker 3: creative collaborator. My first I went back in my chat
• 11:55
  Speaker 3: history with chat giput and looked at my very first
• 11:58
  Speaker 3: question I ever asked it, and it was tell me
• 12:00
  Speaker 3: what digital employee experience is. It was years ago, and
• 12:03
  Speaker 3: it did a pretty good job at summarizing it. And
• 12:05
  Speaker 3: then I kind of got more and more advanced in
• 12:07
  Speaker 3: the queries and that the prompts that I would put in,
• 12:09
  Speaker 3: but I kind of broke it down into a couple
• 12:11
  Speaker 3: of different places. I use it in my creative writing,
• 12:14
  Speaker 3: much like Megan does. I use it to help me
• 12:17
  Speaker 3: break that writer's block. I'm sitting here, I have an idea.
• 12:21
  Speaker 3: I've got a couple of bullets. I know what I
• 12:23
  Speaker 3: want to talk about, but I just can't put the
• 12:25
  Speaker 3: thoughts together. So I'll upload what I'm thinking of and say,
• 12:28
  Speaker 3: give me ten bullets of how I can expand this topic. Right,
• 12:32
  Speaker 3: give me some creative ideas that I can then go
• 12:35
  Speaker 3: expand on, and then once I've got a draft that
• 12:37
  Speaker 3: I can upload that and ask it for changes to
• 12:40
  Speaker 3: readability or grammar or did I miss any ideas? Things
• 12:44
  Speaker 3: like that. Used it a little bit in creating the
• 12:46
  Speaker 3: Parallel podcast. Give me some themes for episodes that I
• 12:49
  Speaker 3: can then go expand on and write and then tweak
• 12:52
  Speaker 3: it from there. Use it a lot for summarizing documents. Right.
• 12:57
  Speaker 3: I took a whole bunch of our Q and as
• 12:59
  Speaker 3: from podcasts like this that we've had with guests, and
• 13:03
  Speaker 3: I asked it to summarize each one and then use
• 13:06
  Speaker 3: those summary bullet points for our sales teams to go
• 13:10
  Speaker 3: out and publicize the podcast. Here's what we talked about,
• 13:13
  Speaker 3: here's the themes, and then use it for some research.
• 13:15
  Speaker 3: And on the personal side, I've gone down maybe four
• 13:18
  Speaker 3: or five different rabbit holes on business side hustles. Here's
• 13:23
  Speaker 3: my concept, develop a plan. It comes back with a
• 13:25
  Speaker 3: full business plan, the funding model, the manufacturing, the revue models.
• 13:29
  Speaker 3: It's really especially if you tell it you are a
• 13:33
  Speaker 3: pro rich. That's what you got to say. Make me rich,
• 13:36
  Speaker 3: make me rich. What's the quickest the riches? Please? When
• 13:40
  Speaker 3: can I start?
• 13:41
  Speaker 2: I do miss something in that, like you can take that,
• 13:43
  Speaker 2: you know, as an entrepreneurial advice.
• 13:46
  Speaker 3: And so I've definitely done finance research, right, I'm here's
• 13:51
  Speaker 3: what I'm looking at doing with my K or my
• 13:53
  Speaker 3: IRA or my mortgage or give me some advice on
• 13:56
  Speaker 3: how to structure things, and it's it seems to be
• 13:58
  Speaker 3: pretty good.
• 14:00
  Speaker 2: See Megan, this is where you've got to let it
• 14:01
  Speaker 2: into your personal life a little bit, you know, Thank you.
• 14:07
  Speaker 2: You the only person not handing a whole alsoul over
• 14:11
  Speaker 2: to the to the matrix.
• 14:13
  Speaker 3: All right, all right, you'll be laughing, you'll be liking.
• 14:16
  Speaker 3: Told you a while back to The strangest interaction I
• 14:18
  Speaker 3: had with it was when I asked it what some
• 14:20
  Speaker 3: future roles of AI employees might be. How was a
• 14:23
  Speaker 3: guy going to impact new jobs? And one of them
• 14:27
  Speaker 3: the five that it listed was Deck's strategist and the influenteses.
• 14:32
  Speaker 3: Next to that those words it said, wink, wink, wink,
• 14:35
  Speaker 3: which kind of blew me away.
• 14:37
  Speaker 2: Yeah, it's funny when it's cheeky. It's funny when it's cheeky.
• 14:41
  Speaker 2: You you know, look, we all have you know, we're
• 14:43
  Speaker 2: talking about so far pretty similar professional profiles. But what
• 14:47
  Speaker 2: about you know, especially maybe Tim and Dina, who have
• 14:50
  Speaker 2: a lot of connections to a lot of different professional
• 14:53
  Speaker 2: profiles inside the company, a lot of other experiences to
• 14:58
  Speaker 2: have us on the call as well, you know, has
• 15:02
  Speaker 2: any any colleagues maybe in product development specifically, maybe in
• 15:05
  Speaker 2: the development of some of these kind of AI centric
• 15:09
  Speaker 2: new products such as AI Drive or upcoming Spark or
• 15:13
  Speaker 2: such like, where You've been really struck by descriptions of
• 15:16
  Speaker 2: colleagues of how they're using using AI more generally in
• 15:20
  Speaker 2: innovative fashion. Timbers like, no way, I'm getting out of here.
• 15:24
  Speaker 3: I don't have anything dropped.
• 15:26
  Speaker 4: Okay, it's on new data, all right, So innovative way
• 15:29
  Speaker 4: of using AI. It's beyond the product and businesses. People
• 15:33
  Speaker 4: are more elevating their day to day tasks from becoming
• 15:37
  Speaker 4: doers to becoming orchestrators, to becoming more on a strategic
• 15:42
  Speaker 4: level to correlate and find the bits and pieces and
• 15:46
  Speaker 4: the time consuming tasks of doing research or looking for
• 15:51
  Speaker 4: better solutions, how tos, et cetera, and like Tim mentioned earlier,
• 15:55
  Speaker 4: asking it to think with me, give me ideas, inspire me,
• 15:59
  Speaker 4: remove that locker from here and there. This is where
• 16:02
  Speaker 4: the evolution of the jobs, let's say, is becoming. So
• 16:05
  Speaker 4: you'll have more and more into that aspect, becoming more
• 16:09
  Speaker 4: AI empowered in your day to day of work. Let's
• 16:13
  Speaker 4: just keep it on the work aspect. But you need
• 16:16
  Speaker 4: to be improving also the prompt literacy of some people
• 16:20
  Speaker 4: so they can be more more empowered, right and have
• 16:22
  Speaker 4: more instructions, chain out of thought, role playing such things
• 16:26
  Speaker 4: which now are becoming easier. You just do it. You
• 16:29
  Speaker 4: don't have to get to schedule a meeting with another
• 16:31
  Speaker 4: person from that other department to get their thoughts on
• 16:35
  Speaker 4: A B and C. You can AI your way into
• 16:37
  Speaker 4: it initially and then drill down later on on a
• 16:41
  Speaker 4: maybe different level of a conversation with someone else who
• 16:45
  Speaker 4: is more of a subject matter expert on that topic.
• 16:48
  Speaker 4: So that's one of those Well, that's one of those
• 16:51
  Speaker 4: use cases. What we get to see from that perspective.
• 16:53
  Speaker 2: Very cool, Sean kind on the spectrum of AI intimacy,
• 16:58
  Speaker 2: Are you right? I imagine a bit like Megan, you
• 17:02
  Speaker 2: keep into yourself, You're keeping your you're keeping your boundaries there.
• 17:05
  Speaker 6: A little bit maybe between Megan and Tim. I definitely
• 17:08
  Speaker 6: think it's helpful in the content creation and building out
• 17:11
  Speaker 6: an outline for certain things, both with work and outside
• 17:15
  Speaker 6: of work. Yeah, when it comes to creative writing or
• 17:20
  Speaker 6: communication or building a presentation, I don't know. I think
• 17:26
  Speaker 6: a lot of my communication with colleagues is always going
• 17:29
  Speaker 6: to be from me because they know who I am
• 17:31
  Speaker 6: and we have a history, and there's other dynamics that
• 17:34
  Speaker 6: it just works better. But yeah, for a certain copy obviously,
• 17:39
  Speaker 6: what you see on a organization or a company website
• 17:42
  Speaker 6: is probably going to always be mostly written by but
• 17:46
  Speaker 6: depending on Like you know, if you have a meeting
• 17:48
  Speaker 6: with ten people in a room and they sort of
• 17:51
  Speaker 6: know you, and there's one person you're trying to convince
• 17:54
  Speaker 6: a for a sale, I think that's mostly got to
• 17:57
  Speaker 6: come from the individual, from the person. I don't know
• 18:01
  Speaker 6: if that's the way to answer your question, but I
• 18:04
  Speaker 6: am outside of where creatively, I am absolutely terrified by it.
• 18:09
  Speaker 6: I don't think it's if you're going to start replacing
• 18:12
  Speaker 6: novels and movies and arts, then what's the point. So
• 18:15
  Speaker 6: hopefully we never.
• 18:16
  Speaker 3: Get to that stage. But let's just I'll lead it there.
• 18:20
  Speaker 3: We got a patient temper. Yeah. So I was at
• 18:23
  Speaker 3: a partner event the other day in New York City
• 18:25
  Speaker 3: and one of the there's other vendor that are presenting.
• 18:28
  Speaker 3: It's outside of our space, but it was an intriguing
• 18:31
  Speaker 3: use case for AI. They were a physical security monitoring company.
• 18:36
  Speaker 3: So picture of video cameras, security cameras in the back
• 18:40
  Speaker 3: of a warehouse outside that look for intruders or things
• 18:43
  Speaker 3: like that. At two am. There's nobody there that you
• 18:45
  Speaker 3: could have one hundred monitors that you have to watch.
• 18:48
  Speaker 3: And what their aid did was look at video and
• 18:52
  Speaker 3: interpret what it was seeing. So, for instance, they showed
• 18:54
  Speaker 3: an example of somebody throwing away some trash and a
• 18:57
  Speaker 3: dumpster and the dumpster starts on fire. There's nobody there
• 19:01
  Speaker 3: to see that activity, but it recognized fire and was
• 19:05
  Speaker 3: able to dispatch authorities and put the fire out without
• 19:08
  Speaker 3: any human interaction. They were able to differentiate people loitering
• 19:13
  Speaker 3: versus people loitering with a crowbar getting ready to break
• 19:16
  Speaker 3: into the building. It was a really intriguing use case
• 19:19
  Speaker 3: for AI to help where almost in the context of
• 19:22
  Speaker 3: what we do analyzing so much data, quicker and more
• 19:26
  Speaker 3: effectively than any individual human ever could.
• 19:29
  Speaker 2: It was pretty cool, excellent, excellent, all fascinating and strange times.
• 19:34
  Speaker 2: We're living through everybody strange times, strange times. And I
• 19:37
  Speaker 2: didn't even have to share my own strange experiences with this.
• 19:40
  Speaker 2: Well now it's the time in any depth, on any depth.
• 19:44
  Speaker 2: But I'm beyond the tim level. I'm closer to Sharlie
• 19:48
  Speaker 2: with her letter to my soul.
• 19:49
  Speaker 3: You know, all right there, but listen, we are we
• 19:54
  Speaker 3: are releasing this.
• 19:55
  Speaker 2: It is it is if I'm not mistaken, but from
• 19:58
  Speaker 2: the day I have planned to really this episode is
• 20:00
  Speaker 2: the is the twenty ninth of September, which is the
• 20:06
  Speaker 2: day before Experience London. Now, if you're a regular listener
• 20:10
  Speaker 2: to the show and you think, oh my goodness, I
• 20:12
  Speaker 2: didn't realize Experience London was coming up so quickly, don't
• 20:16
  Speaker 2: despair that they're it's it's still time, I think, to
• 20:20
  Speaker 2: get one of the final final tickets and to hopefully
• 20:24
  Speaker 2: clear things with your boss and get down there. So
• 20:27
  Speaker 2: and we have you know, the director of Experienced Content
• 20:30
  Speaker 2: across Boston and London, Megan with us to tell us
• 20:33
  Speaker 2: a little bit about London first of all, Meghan, and
• 20:36
  Speaker 2: then maybe you can see up Boston and when that is.
• 20:38
  Speaker 5: Yes, yeah, no, definitely, definitely would love to. And yeah
• 20:41
  Speaker 5: for anyone who is listening to this especially and I
• 20:44
  Speaker 5: think if you liked this conversation and you're curious about
• 20:46
  Speaker 5: maybe innovative ways in which people are using AI or
• 20:50
  Speaker 5: new potential ways that AI could be influencing your work. Index.
• 20:55
  Speaker 5: The Boston event is October fourteenth and fifteenth this year,
• 20:59
  Speaker 5: two full days of content, another killer lineup. Please go
• 21:04
  Speaker 5: to the website and see who we've got coming to talk.
• 21:06
  Speaker 5: It's going to be really exciting. And of course the
• 21:09
  Speaker 5: big thing about Experience is you can meet a network
• 21:12
  Speaker 5: with all the other people who are as passionate about
• 21:15
  Speaker 5: rethinking and reshaping AI as you are it and AI
• 21:18
  Speaker 5: as you are. So it's a really it's an event
• 21:20
  Speaker 5: you shouldn't miss And if you are in North America,
• 21:23
  Speaker 5: maybe be happy for you to know that Neil deGrasse
• 21:25
  Speaker 5: Tyson is our special guest speaker in Boston this year.
• 21:28
  Speaker 5: So he's not an IT guy, but he is pretty
• 21:30
  Speaker 5: cool and we're all very excited to hear himhim talk
• 21:32
  Speaker 5: as well. So don't miss out. Please, whether you're in
• 21:35
  Speaker 5: the UK or you're in North America, come join us
• 21:38
  Speaker 5: next Think dot Com Slash Experience to get your ticket.
• 21:41
  Speaker 3: There will be next.
• 21:42
  Speaker 2: There will be Deck Show live episodes filmed as ever
• 21:47
  Speaker 2: on the Spotlight stage in both locations. So Tim and
• 21:50
  Speaker 2: I look forward to seeing hopefully some listeners in person.
• 21:53
  Speaker 2: We usually have some most conversations with listeners there, don't we, Tim?
• 21:56
  Speaker 3: Yep. Yeah, it's always good to chat with people and
• 21:58
  Speaker 3: get their live kind of.
• 22:01
  Speaker 2: Absolutely, you know, look a you know, if you follow
• 22:05
  Speaker 2: us on social media, why not share some of your
• 22:06
  Speaker 2: own weird and wonderful ways of using AI, your own
• 22:10
  Speaker 2: thoughts or trepidations, about the future of this technology in
• 22:13
  Speaker 2: or out of the workplace. And you know, if you're
• 22:17
  Speaker 2: interested in you know your your digital workplace team having
• 22:22
  Speaker 2: greater visibility, greater control, greater insight, greater ability to influence
• 22:28
  Speaker 2: the adoption and transformation that AI offers any organization, you've
• 22:32
  Speaker 2: got to look into AI drive. We're already drilling that
• 22:36
  Speaker 2: home the last few weeks, and you can find a
• 22:38
  Speaker 2: link in the show notes to that, as well as
• 22:40
  Speaker 2: all many of the other resources that we've already mentioned.
• 22:43
  Speaker 2: Just remains for us to say we hope to see many,
• 22:46
  Speaker 2: many many of you listeners in London or in Boston,
• 22:48
  Speaker 2: and we'll see you all soon.
• 22:50
  Speaker 3: Guys.
• 22:52
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• 22:55
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• 23:12
  Speaker 1: dot com. Thank you so much for listening. Until next time,