Remove 2003 Remove Scaling Remove Software Development
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Top Themes in Data Transcript

Tom Tunguz

After a decade of expanding complexity in the modern data stack, companies are dramatically simplifying their architectures - and getting better results Second, we’re seeing a renaissance of scale-up computing. Content: I use my MacBook Pro to run 70 billion parameter models, which are equivalent to GPT 3.5

Data 100
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Engineering Customer Success Processes for Maximum Impact

Valuize Consulting

These customer success processes are often inefficient, haven’t been scaled to engage the full customer base and are hard to measure. Lean customer success is a continuous improvement methodology focused on engineering customer success processes to maximize their impact, efficiency and scale.

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The Case Against Budgets, Forecasts, and Performance Targets

Outseta

The tech companies that I cited in my examples above all practiced agile software development, for example. The basic premise of agile software development is that fast iterations rather than a few larger leaps will help products progress faster. We do budgets on a small scale at Semco.

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A Look Back: Slack at $30,000,000 in ARR

SaaStr

It’s about scale and revenue. At a high level, why are things scaling faster than ever from your perspective? Things are scaling faster. Yammer certainly scaled faster than I scaled back in the day with EchoSign or Aaron when he was here, but the pace of Slack. We started development in early 2004.

Scale 363