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