Latest / The DEX Show: A Show for IT Change Makers / 🎙️ Reality Bytes: Welcome to the Machine – Assist 2.0 SPEAKS (w/ Marc Petter & Assist 2.0)

Transcript

🎙️ Reality Bytes: Welcome to the Machine – Assist 2.0 SPEAKS (w/ Marc Petter & Assist 2.0) · The DEX Show: A Show for IT Change Makers

• 0:01
  Speaker 1: Welcome it, change Makers to the Deck Show with Tim
• 0:05
  Speaker 1: Flower and Tom McGrath.
• 0:07
  Speaker 2: Let's get into it.
• 0:09
  Speaker 3: Hello again, change Makers, Welcome back to the Deck Show.
• 0:12
  Speaker 3: I'm Tom McGrath joining you as ever, live from London.
• 0:15
  Speaker 3: But here's the funny thing. My main man, Tim Flower,
• 0:18
  Speaker 3: is also live from London Town. How you doing, Tim,
• 0:23
  Speaker 3: How are you finding it here?
• 0:25
  Speaker 4: I love Governor London. The weather is beautiful, the city
• 0:29
  Speaker 4: is packed with people except for you. Tom. You're phoning
• 0:32
  Speaker 4: this one in. You're sitting at your house, in your shed.
• 0:35
  Speaker 4: You can't even come into the office.
• 0:36
  Speaker 3: We are meeting later everybody. Look, I'm still on leave, Okay.
• 0:41
  Speaker 3: I took some time out of the end of my
• 0:43
  Speaker 3: holiday to record this show, so they't give me too
• 0:45
  Speaker 3: much stick there, Tim, Okay, because we got We've got
• 0:48
  Speaker 3: a very very special show for everybody. Tim. But what
• 0:52
  Speaker 3: we've got is on the twenty second of April, Assist
• 0:56
  Speaker 3: two point zero is being unveiled, is being launched into Well,
• 1:00
  Speaker 3: that's our AI powered dex Assistant. Now. Regular listeners to
• 1:05
  Speaker 3: the show Tim will have heard the great Mohammed Cafsie
• 1:08
  Speaker 3: and Maxim Kinner on Our on Reality by its two
• 1:10
  Speaker 3: weeks ago discussing how they helped develop and teach Assist
• 1:15
  Speaker 3: effectively to speak effectively, you know, to teach it next
• 1:19
  Speaker 3: think query language. It's a really really worth for listen,
• 1:22
  Speaker 3: and it inspired inspired us Tim to invite onto the
• 1:26
  Speaker 3: show not only Mark Petter, who will get to in
• 1:30
  Speaker 3: a second, who is a senior product manager for Assist,
• 1:33
  Speaker 3: but also Assist him or herself herself. I think is
• 1:37
  Speaker 3: that what we should go with. So we're going to
• 1:40
  Speaker 3: be speaking to Assist momentarily. But first off, let's welcome
• 1:44
  Speaker 3: Mark to the show for the first time. How you
• 1:46
  Speaker 3: doing Mark, I'm doing very well.
• 1:49
  Speaker 2: Hi guys, thank you very much for having me.
• 1:52
  Speaker 3: A great a great pleasure mate. And look, let's introduce you.
• 1:56
  Speaker 3: First of all, tell us a bit about yourself and
• 1:58
  Speaker 3: your role at next Think. I know I've already said
• 2:00
  Speaker 3: what you take care of, but go into a little
• 2:02
  Speaker 3: more detail for us if you admit. Yes, sure.
• 2:06
  Speaker 2: So I'm a product manager at Netsinc. And I look
• 2:10
  Speaker 2: at different parts of nets in Infinity. Actually so I'm
• 2:14
  Speaker 2: responsible for Experience Central and the Texcore, which is our
• 2:18
  Speaker 2: solution to actually help our customers have a strategic cockpit
• 2:23
  Speaker 2: to manage digital and pre experience from a strategic standpoint,
• 2:26
  Speaker 2: so really understand what works, what doesn't work, where to invest,
• 2:30
  Speaker 2: where to have the biggest impact on the business, the employees,
• 2:33
  Speaker 2: and so on. So this is one of the product
• 2:35
  Speaker 2: I managed. Also manage software maturing, which is all about
• 2:39
  Speaker 2: license optimization and application usage and optimize that side of things.
• 2:45
  Speaker 2: But I'm also the product manager for Netinc Assists, which
• 2:49
  Speaker 2: is the reason why I'm being to here today and
• 2:52
  Speaker 2: what we're going to focus on.
• 2:54
  Speaker 4: Mark.
• 2:54
  Speaker 3: That's fantastic and obviously it's a big day coming up
• 2:58
  Speaker 3: with a release of Assist two point zero. Who we're
• 3:00
  Speaker 3: going to meet so soon, right, But tell us a
• 3:02
  Speaker 3: bit more. First of all, what is the CIST two
• 3:04
  Speaker 3: point zero and why is this new version so exciting?
• 3:09
  Speaker 2: Yes, this is a good question. Look, why it's so
• 3:14
  Speaker 2: exciting is because Assist two dot or is really a
• 3:18
  Speaker 2: major step forward. It's a thousand step forward if you like,
• 3:22
  Speaker 2: compared to the previous version of netsink Assist. Just to
• 3:27
  Speaker 2: step back a little bit here. So what we did
• 3:29
  Speaker 2: is we released Assists let's call it V one at
• 3:32
  Speaker 2: the end of last year two twenty twenty four, and
• 3:37
  Speaker 2: it was already a great first version, but it was
• 3:41
  Speaker 2: I think as you mentioned in the introduction, actually we
• 3:44
  Speaker 2: had Maxine and Mohammed that came two weeks ago and
• 3:48
  Speaker 2: talked about with assist v one and so on, where
• 3:51
  Speaker 2: the main value and usage that we got was actually
• 3:56
  Speaker 2: how can we speed up the ramp up around net
• 3:59
  Speaker 2: sink by our users. For example, if they had no
• 4:02
  Speaker 2: clue about how to use our nets in query language
• 4:05
  Speaker 2: to query our data, netsink sorry, assist v one would
• 4:09
  Speaker 2: actually help them get this data and reach of this data.
• 4:12
  Speaker 2: So that was really one of the main use case
• 4:14
  Speaker 2: around as is v one. Now assist v two is
• 4:17
  Speaker 2: another beast. Assist v two is really doing the heavy
• 4:22
  Speaker 2: lifting for you. Assist v one was giving you the data.
• 4:25
  Speaker 2: I feel like assist v two is getting the data
• 4:27
  Speaker 2: and analyzing the data, extracting insights for you and then
• 4:31
  Speaker 2: guiding you in your journey, which is really really, really
• 4:34
  Speaker 2: really great. And how it does it is now netsink assists,
• 4:39
  Speaker 2: which is an AI solution, actually look at what the
• 4:43
  Speaker 2: user asks as a question to assist understand the intent
• 4:48
  Speaker 2: behind the users question, and then assist actually has a
• 4:51
  Speaker 2: set of tools can cold for example, retrieve data, but
• 4:56
  Speaker 2: it can also go in neteing documentation to understand how
• 4:58
  Speaker 2: to use net zync for the question of the user
• 5:01
  Speaker 2: or even an other docommutation. We have best practices around
• 5:04
  Speaker 2: text management that it can actually tap into, and also
• 5:07
  Speaker 2: the sets of tools like this and then assist based
• 5:12
  Speaker 2: on the user intest. We'll call those tools, retrieve the data,
• 5:16
  Speaker 2: analyze it, consolidate it, and then offer an answer to
• 5:20
  Speaker 2: the to the user, which is really really create because
• 5:24
  Speaker 2: it's unlooking so much, you know, proactivity that you can
• 5:28
  Speaker 2: now achieve with the platform because he again is doing
• 5:31
  Speaker 2: the most of the heavy lifting for you.
• 5:34
  Speaker 4: So let's let's introduce our second guest of the day.
• 5:38
  Speaker 4: I don't know if we should refer to assist too
• 5:41
  Speaker 4: as itself or themselves or him or her, but let's
• 5:46
  Speaker 4: should we say hello?
• 5:49
  Speaker 3: Yeah?
• 5:49
  Speaker 2: Sure, I think this is a regular idea. So what
• 5:51
  Speaker 2: we've done here is we actually plugged assists to a
• 5:56
  Speaker 2: voice tool, right, so whatever you're going to listen to
• 5:59
  Speaker 2: now is actually produced by the sync assist. So let's
• 6:04
  Speaker 2: let's uh, let's ask it's to try us.
• 6:08
  Speaker 4: Yeah, let's give it a try.
• 6:09
  Speaker 5: Hello, and thank you for the warm Welcome to the
• 6:11
  Speaker 5: DX Show. While I can't participate in a podcast in
• 6:15
  Speaker 5: the traditional sense, I'd be happy to provide insights and
• 6:18
  Speaker 5: information about DX next Thing's capabilities and how we're revolutionizing
• 6:23
  Speaker 5: it support and employee experience.
• 6:26
  Speaker 4: So assist. What would you say is the most exciting
• 6:30
  Speaker 4: thing about your new capabilities?
• 6:33
  Speaker 5: The most exhilarating feature is my ability to leverage cutting
• 6:37
  Speaker 5: EDGAI technology to collect and analyze data from multiple sources,
• 6:41
  Speaker 5: providing users with comprehensive insights into their digital employee experience
• 6:45
  Speaker 5: management journey. By utilizing advanced language models and secure data
• 6:50
  Speaker 5: processing within the next Bink infrastructure, I can use a
• 6:53
  Speaker 5: combination of tools such as one detect, diagnose, and help
• 6:59
  Speaker 5: resolve DEX issues by extracting and analyzing data from your environment.
• 7:04
  Speaker 5: Two perform contextual searches across product documentation about next bink
• 7:09
  Speaker 5: and DEX management practices. Three create IT campaigns effortlessly using
• 7:15
  Speaker 5: natural language requests.
• 7:17
  Speaker 4: So mark back to you. I think that's fascinating. One
• 7:22
  Speaker 4: of the biggest things in IT and I think even
• 7:26
  Speaker 4: in business that can be a hurdle. And we had
• 7:30
  Speaker 4: an acronym for it, RTFM. Read the manual right, read
• 7:34
  Speaker 4: the fing manual. It can be difficult to go find
• 7:37
  Speaker 4: the manual or figure out where in the manual information is.
• 7:41
  Speaker 4: I think it's fascinating that you can just sit there
• 7:44
  Speaker 4: and ask a question and get the data that you
• 7:46
  Speaker 4: need and not only get the knowledge, but actually get
• 7:50
  Speaker 4: the analysis that you're going to ask for and then
• 7:54
  Speaker 4: create content. It's fascinating. What for you? What do you
• 7:59
  Speaker 4: feel the inspiration was behind developing this new version. Was
• 8:05
  Speaker 4: it a combination of a whole bunch of different thoughts
• 8:07
  Speaker 4: or was it something very specific that inspired the team
• 8:12
  Speaker 4: to get to where it is now.
• 8:14
  Speaker 2: I think it boils down to actually what we wanted
• 8:18
  Speaker 2: to do with assist since the beginning, where we know
• 8:21
  Speaker 2: we have a burning problem that we want to solve,
• 8:24
  Speaker 2: which is doing digital pre experience management is actually a
• 8:31
  Speaker 2: quite sophisticated practice that you need to put in place,
• 8:34
  Speaker 2: and you record tooms like net sink to be able
• 8:37
  Speaker 2: to get there, and it takes time right to somehow
• 8:43
  Speaker 2: ramp up because again everything is so sophisticated. Digital pre
• 8:47
  Speaker 2: management is so you know, such a broad topic and
• 8:51
  Speaker 2: you can do so many things with it. And the
• 8:53
  Speaker 2: burning problem to solve is how can we actually make
• 8:56
  Speaker 2: sure that the time to value that our customers have,
• 9:00
  Speaker 2: how can we make it as short as possible? For
• 9:02
  Speaker 2: them to really get value out of netting, and this
• 9:04
  Speaker 2: is why we released again the first version of netsic
• 9:06
  Speaker 2: asism that was helping them to somehow bootstrap their activities
• 9:10
  Speaker 2: on netsink diffinity. But while we were working on this
• 9:13
  Speaker 2: first version, what happened is, you know, all the technology
• 9:18
  Speaker 2: around AI is moving so fast, so we have so
• 9:23
  Speaker 2: many innovations coming along the way that we actually were
• 9:27
  Speaker 2: able while we were developing V one and then we
• 9:29
  Speaker 2: just released we one to actually just step back and
• 9:31
  Speaker 2: look at AI and what we could do with it,
• 9:34
  Speaker 2: and instead of just you know, try to help our
• 9:37
  Speaker 2: customers bootstrap their journey with it, we thought, maybe let's
• 9:42
  Speaker 2: transform how people interact with digital experience data and let's
• 9:47
  Speaker 2: make it way easier than what it is today. So
• 9:49
  Speaker 2: I think that was really the inspiration behind this new
• 9:52
  Speaker 2: version of neting a.
• 9:53
  Speaker 4: System and next thing. Even from the very early days,
• 9:58
  Speaker 4: back when I was a customer twelve years ago, the
• 10:01
  Speaker 4: platform was all about making my life easier, making it
• 10:06
  Speaker 4: a better experience for me as an IT person and
• 10:10
  Speaker 4: a leader of an IT team to service our customers.
• 10:14
  Speaker 4: And now we're making it even easier. How does next
• 10:17
  Speaker 4: think assist change things for it teams and the end users.
• 10:22
  Speaker 4: What go into a little more detail of what it's
• 10:25
  Speaker 4: actually doing for people.
• 10:27
  Speaker 2: Yes, look, let's let's let's use some examples, some success
• 10:31
  Speaker 2: stories that actually were shared by some customers. One that
• 10:36
  Speaker 2: comes to mind is one customer mentioning actually how their
• 10:41
  Speaker 2: IT teams were organized and who was actually owning netsink
• 10:45
  Speaker 2: in the organizations and in their situations, who the persons
• 10:49
  Speaker 2: that were actually managing netsinc. Were great experts at the platform,
• 10:55
  Speaker 2: but we're not necessarily they didn't necessarily have a lot
• 10:59
  Speaker 2: of tech expertise around. For example, troubleshooting and what happens
• 11:06
  Speaker 2: before assist is so if another team came to the
• 11:10
  Speaker 2: netsing team and ask actually to get data to troubleshoot
• 11:14
  Speaker 2: an issue. For example, the people in our nation that
• 11:17
  Speaker 2: all netsinc Were just able to extract the data, the
• 11:20
  Speaker 2: bare minimum data and then show that with the team,
• 11:22
  Speaker 2: and then the other team was then asking for the
• 11:24
  Speaker 2: next sets of data, and that was this very complicated
• 11:28
  Speaker 2: back and forth because again the team that was actually
• 11:31
  Speaker 2: owning nets in didn't have all the technical knowledge to
• 11:34
  Speaker 2: really right away give the right data and move quickly
• 11:37
  Speaker 2: to a resolution of an issue. And suddenly with netsin assists,
• 11:41
  Speaker 2: you can for this kind of persona. They can suddenly
• 11:45
  Speaker 2: get guidance from the system, so they don't need to
• 11:48
  Speaker 2: be extremely technical and knows exactly how to trouble shoot
• 11:51
  Speaker 2: all the issues in the world because the system is
• 11:53
  Speaker 2: actually guiding them. So it's way easier for them to
• 11:55
  Speaker 2: actually then improve and fixed issues in production. So that
• 12:00
  Speaker 2: sexually quite exciting to hear as a success story.
• 12:04
  Speaker 4: Yeah, and it's both sides of the It's both sides
• 12:06
  Speaker 4: of the problem. The IT administrators who know IT systems,
• 12:12
  Speaker 4: the platforms that we use to manage our environments, might
• 12:15
  Speaker 4: not know the details of how to troubleshoot some of
• 12:19
  Speaker 4: the data IT gathers. It's such a broad environment of
• 12:21
  Speaker 4: gathering data, applications, agents, operating systems, cloud network the people
• 12:29
  Speaker 4: who are running the system don't know all of the
• 12:32
  Speaker 4: troubleshooting steps for the data they gather, and vice versa.
• 12:36
  Speaker 4: The folks who do know those segments, like the people
• 12:39
  Speaker 4: in the network team and the application team, weren't involved
• 12:42
  Speaker 4: in developing and standing up the next thing platform, so
• 12:45
  Speaker 4: they don't know the console and this kind of solves
• 12:47
  Speaker 4: both of those problems. It makes it easier for administrators
• 12:51
  Speaker 4: to manage the environment and really get a holistic view
• 12:56
  Speaker 4: of what's going on. Let I know you've got some
• 13:00
  Speaker 4: plans to go even deeper. So let's ask a sister
• 13:04
  Speaker 4: question to demonstrate what it can actually do in practice,
• 13:09
  Speaker 4: and I'll let you let you drive.
• 13:11
  Speaker 3: Guys, can we please be a bit more polite this
• 13:14
  Speaker 3: time to assist, Like, let's let's say, you know, let's please.
• 13:18
  Speaker 4: Just say please and thank you please.
• 13:19
  Speaker 2: I think we should.
• 13:20
  Speaker 3: I think you know, and stop calling it. I've heard
• 13:23
  Speaker 3: its voice now. It's clearly a she. So you know,
• 13:26
  Speaker 3: can we invite her please to show us what she
• 13:29
  Speaker 3: can do? Please go again?
• 13:32
  Speaker 2: Yes? Okay, great, yes, yes, that's quite exciting. Let's actually
• 13:37
  Speaker 2: start discussing a bit more with assist. So, hey, assist,
• 13:42
  Speaker 2: so can you please tell me attle bit more about
• 13:45
  Speaker 2: my environments and how it's performing today? And and also
• 13:49
  Speaker 2: can you please tell me what should I focus on
• 13:52
  Speaker 2: to have the biggest impact on my employees?
• 13:56
  Speaker 5: Still the data I've analyzed, here's an over based on
• 13:59
  Speaker 5: the data I've analyzed, here's an overview of your environment's
• 14:03
  Speaker 5: performance today, along with key areas to prioritize for maximum
• 14:06
  Speaker 5: impact DX score. The average digital employee experience DX score
• 14:13
  Speaker 5: over the past twenty four hours is fifty six, indicating
• 14:16
  Speaker 5: room for improvement. Investigating the lowest scores should be a
• 14:20
  Speaker 5: top priority system crashes. These are currently impacting eighty two devices,
• 14:26
  Speaker 5: which could be negatively affecting productivity and user experience. This
• 14:31
  Speaker 5: warrants immediate attention. By focusing on these areas, you can
• 14:35
  Speaker 5: drive meaningful improvements to your overall digital employee experience. Would
• 14:41
  Speaker 5: you like me to provide more detailed insights on any
• 14:43
  Speaker 5: of these issues?
• 14:46
  Speaker 2: Look at the great Thanks for this analysis. That's actually
• 14:50
  Speaker 2: quite interesting. You mentioned some system crushes happening in the environment.
• 14:55
  Speaker 2: Can you please analyze them and come up with a resolution?
• 14:58
  Speaker 5: Plant sure? Based on an investigation I ran. Here's a
• 15:04
  Speaker 5: summary of the system crashes in the past twenty four hours.
• 15:08
  Speaker 5: Crash overview sixty one devices were affected. Incidents spanned multiple
• 15:13
  Speaker 5: OS versions. Top crash types system underscore service underscore exception,
• 15:20
  Speaker 5: likely caused by driver issues or conflicts when thirty two
• 15:25
  Speaker 5: K underscore critical underscore failure typically linked to graphics or
• 15:29
  Speaker 5: input device drivers. Next step use next Thing system crash
• 15:34
  Speaker 5: troubleshooting workflow to automate investigation and resolution across impacted devices.
• 15:40
  Speaker 5: This approach will help reduce crash frequency and improve system stability.
• 15:47
  Speaker 3: You.
• 15:48
  Speaker 2: Yeah, what I liked were with your answer is I'm
• 15:53
  Speaker 2: not an expert, right, and I don't know exactly how
• 15:56
  Speaker 2: to trouble system crushes. And you're actually guiding me there
• 15:59
  Speaker 2: because you're telling me what is the most common types
• 16:02
  Speaker 2: of errors causing system crushes and how to fix them.
• 16:06
  Speaker 3: So this is really really great.
• 16:09
  Speaker 2: Let's try something else. Let's change topics here and see
• 16:12
  Speaker 2: how much you can actually help me make more strategic decisions.
• 16:17
  Speaker 2: So let's say we need you to help me identified
• 16:20
  Speaker 2: key savings opportunities. Tell me how you and Edsinc. Can
• 16:24
  Speaker 2: help there.
• 16:27
  Speaker 5: Here's an action plan to optimize it costs using next
• 16:30
  Speaker 5: thank Fleet Management, reclaim and use devices you have four
• 16:36
  Speaker 5: percent and active devices in thirty days. Use the smart
• 16:40
  Speaker 5: refreshed dashboard to identify underperforming hardware, software licenses, detect and
• 16:47
  Speaker 5: used apps e Vizio project with the Software Asset Optimization
• 16:52
  Speaker 5: Library pack. Utilize the Software Metering module to track application
• 16:57
  Speaker 5: usage and develop a tailored license ofup toation strategy app
• 17:02
  Speaker 5: rationalization review top twenty installed apps to eliminate redundancies by
• 17:08
  Speaker 5: following this plan and leveraging next Things capabilities, you can
• 17:12
  Speaker 5: significantly reduce IT costs while maintaining optimal performance and user experience.
• 17:20
  Speaker 2: Thanks. This is actually very good because once again, one
• 17:24
  Speaker 2: thing that is create here is not only the suggestions,
• 17:29
  Speaker 2: but also all the references to documents and modules and
• 17:33
  Speaker 2: everything that nits in can actually provides to support those
• 17:37
  Speaker 2: use cases and those objectives which I'm not necessarily aware of,
• 17:42
  Speaker 2: and then assist you are actually telling me.
• 17:44
  Speaker 3: So this is great.
• 17:46
  Speaker 2: I have a final question for you here. I want
• 17:50
  Speaker 2: to try something a little bit more creative. Can you
• 17:52
  Speaker 2: please look at something unexpected in my environments that I
• 17:56
  Speaker 2: will definitely find surprising?
• 18:00
  Speaker 5: Certainly, I found something unexpected in your application usage data.
• 18:05
  Speaker 5: According to the investigation I ran, the chat GPT desktop
• 18:09
  Speaker 5: app was used five three hundred and seventy four times
• 18:12
  Speaker 5: in the last thirty days, more than tools like Teams
• 18:15
  Speaker 5: or Adobe Acrobat. It's unusual because it's not a standard
• 18:21
  Speaker 5: enterprise app. The desktop version isn't widely available, hinting at
• 18:25
  Speaker 5: a beta or custom setup. It ranks in the top
• 18:29
  Speaker 5: twenty five most use stabs in your environment. Want me
• 18:33
  Speaker 5: to investigate further?
• 18:36
  Speaker 2: No, it's all good.
• 18:37
  Speaker 3: Thank you, very much sign it for times there maybe
• 18:40
  Speaker 3: mark and thank you so much as is for that
• 18:43
  Speaker 3: very impressive display mark. What are some of the key
• 18:46
  Speaker 3: innovations here powering this new version.
• 18:52
  Speaker 2: So actually, what's interesting in regetting innovation and how we're
• 18:56
  Speaker 2: approaching assists is we know that again and AI is
• 19:00
  Speaker 2: moving so fast that there are so many things that
• 19:02
  Speaker 2: we can do now that we couldn't do six months ago.
• 19:04
  Speaker 2: So what we're doing is we're trying to take a
• 19:07
  Speaker 2: very agile approach here with assists, where we trying to
• 19:14
  Speaker 2: you know, prototype and experiment a lot with the sets
• 19:17
  Speaker 2: of new features all the time, and if they actually
• 19:21
  Speaker 2: they could deliver value to our customers, then we are
• 19:23
  Speaker 2: bringing it to the product. A concrete example of that is,
• 19:26
  Speaker 2: for example, something that we're going to release very very
• 19:28
  Speaker 2: soon to customers. Normally it's going to be next week
• 19:31
  Speaker 2: where now assists will be, for example, able to plot
• 19:35
  Speaker 2: visualizations of data. And again this is something that started
• 19:39
  Speaker 2: as an experiment and we saw a lot of value
• 19:42
  Speaker 2: in it, and now we're bringing to the product. So
• 19:44
  Speaker 2: it's really continuous innovation that we're bringing to nets in consists.
• 19:49
  Speaker 3: And we had the kind of encounter between AI and
• 19:53
  Speaker 3: AI first facts about chat GPT, which are I think
• 19:56
  Speaker 3: very interesting and probably illustrative of a lot of workplaces
• 19:59
  Speaker 3: to right. But when it comes to AI powered tools
• 20:03
  Speaker 3: in general, markware can be misconceptions, particularly around complexity or control.
• 20:08
  Speaker 3: How does assist in your your help to address vies?
• 20:13
  Speaker 2: Yes, I think we need to understand what assist is
• 20:17
  Speaker 2: and is not. So Assist is really designed as a
• 20:21
  Speaker 2: tool to actually support and somehow augument our users' journeys
• 20:26
  Speaker 2: when they do text management. So what I mean by
• 20:28
  Speaker 2: that it's a feature of convenience. It's going to really
• 20:32
  Speaker 2: help them in their journeys. But Assist itself, for example,
• 20:35
  Speaker 2: is not taking it is not making any decisions right,
• 20:38
  Speaker 2: It's always going to be a human interacting with assists
• 20:42
  Speaker 2: assist providing insights and then someone making a decision. So
• 20:46
  Speaker 2: the I is you know, the user at the end
• 20:49
  Speaker 2: is in full control of the.
• 20:51
  Speaker 3: I Very cool, And I get a question now for you, Assist, right,
• 21:00
  Speaker 3: And this is a final question. It's only right that
• 21:02
  Speaker 3: we ask it of you.
• 21:03
  Speaker 4: I think.
• 21:04
  Speaker 3: So who should be considering using you and which teams
• 21:09
  Speaker 3: would benefit the most from your special capabilities? Please?
• 21:16
  Speaker 5: Next, think Assist is a powerful tool that can benefit
• 21:18
  Speaker 5: various teams within an organization, particularly those involved in IT
• 21:23
  Speaker 5: operations and digital employee experience management. IT operations teams. These
• 21:29
  Speaker 5: teams can leverage assist to quickly diagnose and resolve device
• 21:32
  Speaker 5: performance issues, network problems, and application related concerns. Service desk teams,
• 21:39
  Speaker 5: Assist can help support staff provide faster and more accurate
• 21:42
  Speaker 5: responses to employee queries and troubleshoot issues more efficiently. Digital
• 21:47
  Speaker 5: workplace teams. These teams can use assists to gain insights
• 21:51
  Speaker 5: into employee experience trends. IT managers and directors. They can
• 21:56
  Speaker 5: use assist to get quick overviews of the IT environment's
• 21:59
  Speaker 5: health and make data driven decisions. For more detailed information
• 22:04
  Speaker 5: on using next Think Assists, including its capabilities and best practices,
• 22:09
  Speaker 5: you can refer to the using next Think Assist documentation.
• 22:16
  Speaker 3: Very very cool. Thank you so much Assist for coming
• 22:20
  Speaker 3: on the show. Thank you Mark, not only for bringing
• 22:23
  Speaker 3: you Assist onto the show, but for joining us also
• 22:25
  Speaker 3: and for helping to develop this really revolutionary new product
• 22:30
  Speaker 3: and everything else you do it next Think too, man.
• 22:32
  Speaker 3: We really appreciate that.
• 22:33
  Speaker 2: Very cool, my pleasure, Thank you guys for it.
• 22:36
  Speaker 3: Thanks Mark, and obviously we will have links the documentation
• 22:42
  Speaker 3: I mean assist that you might be listening to this
• 22:44
  Speaker 3: prior to the official launch of Assists two point zero,
• 22:48
  Speaker 3: which as I say, comes down on the twenty second
• 22:51
  Speaker 3: of April, but we will include helpful links either after
• 22:55
  Speaker 3: the fact or to the preliminary documentation that's already avail.
• 23:00
  Speaker 3: We also have links to Mohammad and Maxim's discussion from
• 23:04
  Speaker 3: two weeks ago in case you missed that and you're
• 23:06
  Speaker 3: interested in learning a little more about how Assist two
• 23:10
  Speaker 3: point zero was developed. And look, just remains for us
• 23:14
  Speaker 3: to say, let us know what you think. Listeners do
• 23:18
  Speaker 3: check out to investigate this amazing new product. And there's
• 23:20
  Speaker 3: a lot of excitement in our customer base and around
• 23:24
  Speaker 3: next thing about this launch, and you'll find a lot
• 23:27
  Speaker 3: of information and insight on the website of course as well.
• 23:31
  Speaker 3: And Mark, thanks for coming on board Assist. Thank you
• 23:34
  Speaker 3: very very much. You know, even if Tim didn't, you
• 23:37
  Speaker 3: know P's and Ques. You know, Mark and I are
• 23:39
  Speaker 3: very very polite.
• 23:40
  Speaker 4: Thank you both. We have to keep our ai overlord's happy.
• 23:43
  Speaker 3: Quite so quite so good. Teach them to be polite,
• 23:46
  Speaker 3: teaching to be polite. Thank you so much, guys. Thanks everybody.
• 23:50
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• 24:07
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• 24:11
  Speaker 1: you so much for listening. Until next time.