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19 results for “tech adoption”
This is about how do you transform incumbent entities into something different. Right? Private equity typically optimizes an existing asset class at a certain scale. This is about transformation. So you think of large existing enterprise and I think
15:05 / 16:10
from transcript15:05 – 16:10
ERPs and other systems of record because of the stickiness of the data gravity. There was a wave of SaaS two point o that was well funded and tried and failed to take on the system of record mostly through a better UI. This is the first time that we'
11:03 / 12:17
from transcript11:03 – 12:17
...of adoption is still growing at the same rates as ever before. I I think this will be much faster with AI to be very clear. But just so we, like, shock ourselves, imagine we're in 2045, and we're still talking about, you know, wow. AI, you know, was
32:53 / 34:03
from transcript32:53 – 34:03
...tech technology is there, but it's a people problem. I think change management is a very real thing that I think we underestimate. And I think it's, where startups and companies like ours have really focused our attention in trying to help these orga
42:42 / 43:48
from transcript42:42 – 43:48
...to drive adoption much faster. And in fact, what we see in most organizations, it's like shadow IT on steroids. Yeah. And the ability for security to say no isn't there because it's really like the CEO and co they're saying, well, we have to we have
23:17 / 24:38
from transcript23:17 – 24:38
...it's amazing technology, it still takes some time until it becomes mainstream and embedded. And I think that we're only in the very early innings of the AI adoption. We are working with some of the largest, organizations in The US to support them on
30:00 / 31:14
from transcript30:00 – 31:14
...technology that's being released today is not being tested in enterprises first, which is a big shift. Stuff's being released before it's actually been tested at scale. In September, we introduced a a agentic AI training for every person at Accenture
12:42 / 13:46
from transcript12:42 – 13:46
I'm Sarah Wang, general partner on a sixteen z growth. And my big idea for 2026 is that systems of record start to lose their edge. A passive system of record layer stops making sense when agents can independently execute on a signed intent. I expect
10:29 / 11:34
from transcript10:29 – 11:34
...tech businesses that sort of may not be getting the return on investment from their AI that they had expected or they had hoped or something like that. Like, does it does it work in some places and not others? Are there industries and functions that
6:01 / 7:01
from transcript6:01 – 7:01
...technology that exists in the market and and no longer building everything in house. And so a lot of where I've been spending time the past several years has been in, you know, fintech companies that lead with software that, you know, ideally have th
15:45 / 16:49
from transcript15:45 – 16:49
each org is gonna come come up with these are business metrics I wanna solve, and these are kind of initiatives I'll do, and these are how I'll measure the success of the AI initiative, like AI specific metrics. So we're gonna have that cross functio
19:19 / 20:37
from transcript19:19 – 20:37
You know, it's it's hard enough to get people to just use an AI assistant to help them do their jobs better. You know, coding is probably the easiest one to get people's minds wrapped around. Customer support, it's such a better, faster, cheaper obvi
22:30 / 23:38
from transcript22:30 – 23:38
context extraction, and digital teams. Now let's look at the clearest industry where this becomes unavoidable. Angela Strange focuses on financial services and insurance, where unified data and parallelized workflows make it possible to replace legac
5:57 / 7:02
from transcript5:57 – 7:02
You need the models adapted to you. And then you actually need a new model for how the workforce is gonna function because you have agents and humans, and there's a massive change management exercise. So a lot of our partnership has been about sort o
15:51 / 16:51
from transcript15:51 – 16:51
...AI adoption paradigm in the enterprise works the same way that ML did. When we look at the different products that we have today, the expert platform is one I think that gets a lot of attention. How much of the business today is the expert platform?
26:19 / 28:05
from transcript26:19 – 28:05
...the technology can just sort of evolve and advance. Yeah. And so we in Silicon Valley and certainly anybody tuning into this sort of imagines, like, well, why doesn't the breakthrough that we just saw get released? Why isn't that permeate every corpo
5:16 / 6:22
from transcript5:16 – 6:22
...technology. Right. I think will change very significantly, we think, over the next decade or so. So we're very excited about, the intersection of tech and health care.
11:19 / 12:19
from transcript11:19 – 12:19
...the adoption curve of the stuff is gonna take a lot longer than people expect. So I do think, you know, I said this to you earlier. Like, I think, enterprise, this is a five to ten year adoption journey, not one to two. And so I think you have a a dy
44:14 / 45:25
from transcript44:14 – 45:25
But could that work in every company? I'm not so sure. Right? Would I personally replicate all of it? Some of it, for sure, because some of it was fantastic. How do you think CS should be Comms? Well, it depends on what they're doing. And because the
27:44 / 28:45
from transcript27:44 – 28:45
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