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AI is already reshaping B2B SaaS, and its only going to accelerate. AI is Table Stakes Now. AI isnt a differentiator anymore per se its the baseline. Customers expect AI to be baked into your product, whether its automating workflows, improving onboarding, or delivering predictive insights. Mediocre AI wont cut it. #2.
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During those 30 years as an Open Source platform, multiple developers and professionals adopted and contributed to it to the point where, today, Linux is everywhere—supercomputers, AI, IoT, embedded devices, and so on. For us, the SaaS model Amazon Web Services (AWS) offered was an amazing one to look at.
With a background that includes leadership roles at AWS, Microsoft, and Lenovo, Fred brings a wealth of experience in building high-performing teams and driving revenue growth. And I know you’ve had some great experience, particularly while you were at AWS, running different partner sales, channel sales.
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The ultimate failure of Siri to dominate the AI personal assistant game might come to be seen as its biggest miss of the decade. Google, too, saw a smooth transfer of power from its founders to a new CEO, Sundar Pichai, while also strengthening its core business of search advertising and reorganizing under Alphabet.
When I think about the monetization of AI (and which “layers” monetize first) I’ve always thought it would follow the below order, with each layer lagging the one that comes before it. Model providers (OpenAI, Anthropic, etc as companies start building out AI). 2024 will be the year of AI applications!
And the promise of the software businessmodel is as companies mature and go out of growth mode the profits will show up. AI Investment Cycle Picking Up - Companies are (rightfully) investing in building out their capabilities around AI. Coming in to Q1 there was broader optimism. Q4’s were generally good!
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He joined me for a chat that ranged from the role of AI to how they choose startups to incubate. Customer nurturing now starts from the first touch, and AI can help with that. Obviously we’ve seen a lot of changes in terms of tech and businessmodels, but what would you say has stayed the same in that space?
This is why we’re seeing more and more SaaS companies—Datadog, Twilio, AWS, Snowflake, and Stripe, to name a few—find success with product led growth paired with usage-based pricing. But growing with a usage-model is not as straightforward as traditional subscription SaaS. Then they tell their boss what to buy. Land-and-expand is real.
It was around that time about 12 years ago that Jeff Bezos launched AWS, and some of you may remember that, when he did this, Wall Street analysts were looking at him and saying, “Why would you take what’s already a very unprofitable business and drive it further into the red by investing in this AWS initiative?”
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By almost all key metrics, now is a great time to get into the SaaS businessmodel. Running your own server to handle your customer's valuable data requires a huge investment to match the same level of security and reliability that comes baked into services like Amazon AWS and Microsoft Azure cloud. AI Integrations.
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Five people in the digital team were looking at blockchain projects and three people on that digital team were looking for long term AI transformation. If there’s a social security number and other pieces of AI, then automatically it’s limited to this org or this subset of the org. Is AWS in the lead?
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Subscribe now The Platform Evolution Cycle I think we’re entering a really interesting point in the AI platform shift. I call this the “Reinvention Loop", and I think we’re just starting to hit this point in the AI platform shift. This is why we’re seeing some of these AI companies scale as quickly as they are.
78 times in the AWS … ADABAS was referenced in the Amazon press release and earnings announcement. Byron : Now, over the weekend, as some of us were watching kind of a snooze fest football game, maybe drinking a beer which apparently has corn syrup in it, who knew? Twice for retail. Sky is falling, world is ending, hunker down.
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