Artificial Intelligence Azure Scaling 
SaaStr
FEBRUARY 7, 2025
With Databricks now one of the largest pre-IPO technology companies, with $10 billion of expected non-dilutive financing and a valuation of $62 billion, Ron’s insights are gold for any revenue leader looking to scale. So we have a mix of both, but I think as we’ve scaled it’s become an advantage. ” The lesson?
Tom Tunguz
FEBRUARY 1, 2024
Calendar Quarter Azure OpenAI Orgs, k CoPilot Users, m Power Platform Orgs, k 1/1/24 53 1.3 “Cosmos DB is the go-to database to build AI-powered apps at any scale… Cosmos DB data transactions increased 42% year-over-year.” Small-language models are coming. Many companies are moving in this direction.
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SaaStr
APRIL 26, 2024
Culture Structure You want a culture of checking results and having metrics to evaluate those results from the LLM or a more traditional model. What should founders know about the modern AI stack that Enterprises can scale on? You might want an open-source model and do what’s called distillation. Why is data so hard?
Andreessen Horowitz
MARCH 21, 2024
Last year, while consumers spent hours chatting with new AI companions or making images and videos with diffusion models, most enterprise engagement with genAI seemed limited to a handful of obvious use cases and shipping “GPT-wrapper” products as new SKUs. Some naysayers doubted that genAI could scale into the enterprise at all.
Sales Hacker
APRIL 1, 2025
We’ll help you scale, you help us scale. That’s what I learned at Microsoft is build together. Um, the goal was to bring all of those assets of Azure Modern Workplace, the business application side together, build a really powerful data set, um, all within that common data platform on Azure.
Andreessen Horowitz
APRIL 5, 2024
While many are venturing into this space, it’s still the inaugural year for most companies deploying LLM-based applications. Securing these models remains a challenge as their deployment becomes more widespread. Looking broadly, this year will unveil how enterprises actually integrate LLMs into their production workloads.
Neil Patel
JANUARY 25, 2021
You can use the tool to create and share reports, dashboards, and visualizations, building automated machine learning models. Whether it’s real-time analytics data streaming or offering insights at scale, this tool can do it all. Its image analytics feature can also be useful to make better business decisions.
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