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18 results for “operational optimization”
“How data reveals the optimal operational processes by ditching industry best practices”
...best practices of operational processes across The UK with not just selecting the best one of the variety, but also quite often selecting none of the existing and reviewing all of them completely and
23:40 / 24:15
framework23:40 – 24:15
Modern systems are built on microservices, APIs, and event driven architectures, but legacy automation tools can't keep up. Siloed low code platforms, outdated process management, and disconnected API tooling break down under real world scale and con
2:16 / 3:18
from transcript2:16 – 3:18
“The startup dilemma: optimize for revenue or product data?”
what would you wanna see on the go to market side? Because I feel like I maybe lately missed the mark. What are you optimizing for? Are you optimizing for revenue? Are you optimizing for usage and dat
24:16 / 24:52
tactical advice24:16 – 24:52
You know how small advantages compound over time? That's true in investing and just as true in how you run your company. Your spending system is your capital allocation strategy. Ramp makes it smarter by default. Better data, better decisions, better
1:11:07 / 1:12:10
from transcript1:11:07 – 1:12:10
Investment firms are replacing a patchwork of isolated and data order management systems, accounting systems, reporting add ons, and client tools with this fundamentally new operating model, automating complex workflows, scaling personalized client e
30:42 / 31:47
from transcript30:42 – 31:47
You know how small advantages compound over time? That's true in investing and just as true in how you run your company. Your spending system is your capital allocation strategy. Ramp makes it smarter by default. Better data, better decisions, better
2:07:00 / 2:07:47
from transcript2:07:00 – 2:07:47
Ridgeline is redefining asset management technology as a true partner, not just a software vendor. They've helped firms five x in scale, enabling faster growth, smarter operations, and a competitive edge. Visit ridgelineapps.com to see what they can
2:07:24 / 2:08:03
from transcript2:07:24 – 2:08:03
we're thinking about what's the persistent beta of that strategy, what do we think the excess return looks like, and how does that excess return look relative to both the beta in our portfolio, but also the other excess returns that we have available
29:59 / 31:08
from transcript29:59 – 31:08
You know how small advantages compound over time? That's true in investing and just as true in how you run your company. Your spending system is your capital allocation strategy. Ramp makes it smarter by default. Better data, better decisions, better
56:11 / 57:14
from transcript56:11 – 57:14
Sounds like just the right mix to create a scalable institutional edge without growing headcount. For hedge funds, this means validating thesis assumptions before earnings across dozens of experts instead of a handful. For private equity, it means fa
3:46 / 4:46
from transcript3:46 – 4:46
AI. Investment firms are replacing a patchwork of isolated and data order management systems, accounting systems, reporting add ons, and client tools with this fundamentally new operating model, automating complex workflows, scaling personalized clie
32:17 / 33:21
from transcript32:17 – 33:21
You know how small advantages compound over time? That's true in investing and just as true in how you run your company. Your spending system is your capital allocation strategy. Ramp makes it smarter by default, better data, better decisions, better
1:17:08 / 1:18:11
from transcript1:17:08 – 1:18:11
You know how small advantages compound over time? That's true in investing and just as true in how you run your company. Your spending system is your capital allocation strategy. Ramp makes it smarter by default. Better data, better decisions, better
1:16:21 / 1:17:25
from transcript1:16:21 – 1:17:25
Sounds like just the right mix to create a scalable institutional edge without growing headcount. For hedge funds, this means validating thesis assumptions before earnings across dozens of experts instead of a handful. For private equity, it means fa
0:46 / 1:47
from transcript0:46 – 1:47
and become searchable and comparable, so your primary insights plug directly into your earnings, diligence, and PitchBook workflows with no tool switching. AI for coverage and efficiency, humans for complexity and conviction. Sounds like just the rig
2:55 / 4:07
from transcript2:55 – 4:07
Take the guesswork out of Gen AI. Visit turing.com/20vc to start your free assessment today. And talking about scaling seamlessly, let me tell you about WorkOS. So WorkOS is the modern identity platform for b to b SaaS, helping start ups move up mark
1:29 / 2:35
from transcript1:29 – 2:35
even with a lot of our companies go up or the economies no changes? That goes back to that work chest because markets go like this. Sometimes, like, yes, the line through it goes like this. You forget it when you're in the one of the good ones. Yes.
48:39 / 49:52
from transcript48:39 – 49:52
AI for coverage and efficiency, humans for complexity and conviction. Sounds like just the right mix to create a scalable institutional edge without growing headcount. For hedge funds, this means validating thesis assumptions before earnings across d
3:45 / 4:49
from transcript3:45 – 4:49
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