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And if you think about AWS, if you think about the rise of cloud data warehousing, that is a big technology change and a big game changer for a lot of companies. Here’s a case in point: as a productmarketer by training, Alex spoke about how he often struggled to stay on top of the competition.
We’ve all seen AWS and what they’ve done with their platform. They have this unique ability to evangelize your product in the market, learn from your early customers what they like, what they don’t like, bring that feedback loop into product, into marketing, and really start to make that flywheel work.
Sameer Dhokalia: It turns out if you do ask those two basic questions of 100 people in your business, you will learn an awful lot about what needs to be focused on. You needed to understand how do we keep the bad actors out and use machinelearning to prevent spammers and phishers from taking advantage of our system.
Everything from brand and creative and media, to productmarketing, to demand gen functions, to partner marketing, to industries. I’ve also seen companies with really strong teams and what seemed to be good markets not make it. And increasingly, Google Cloud is really expanding globally on that front.
Causal modeling and prediction systems are improving rapidly, driven by machinelearning and related technologies. This is already the norm for infrastructure software products and tools like Atlassian, GitHub, GitLab, AWS and so on. The other direction will be performance-based, or outcome-based, pricing.
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