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Q1 was a very weak quarter of software earnings. GCP data is a bit more noisy as they don’t disclose GCP itself, but rather Google Cloud which includes GSuite. I’m calculating FCF by taking the Operating Cash Flow and subtracting CapEx and Capitalized Software Costs.
I’m watching public company earnings to identify early trends in the software market to inform startups’ plans for 2023. Yesterday, Microsoft & Google announced earnings. Google Cloud Platform (GCP) & Microsoft Azure had strong quarters with about 28% annual revenue growth each.
There are 4 questions a startup should ask themselves about building a startup that uses generative AI. The narrative is : AI is a massive platform change that Goldman Sachs projects will increase GDP 300x more than the PC. There are 4 questions startups should ask themselves about building with generative AI.
I’m watching public company earnings to identify early trends in the software market to inform startups’ plans for 2023. Yesterday, Microsoft & Google announced earnings. Both Google & Microsoft announced growth rates in GCP & Azure that held steady from one quarter to the next.
Snowflake announced earnings yesterday, echoing the strength within software companies more broadly & underscoring the shift in enterprise buyer behavior to normal after three quarters of extensive cost cuts. " As with many other companies reporting strength in the market, AI & unstructured data workloads are fueling growth.
Every week I’ll provide updates on the latest trends in cloud software companies. Subscribe now Software Sentiment Software sentiment is incredibly low at the moment - and rightfully so. Nearly 70% of software companies who reported Q1 with an April quarter end guided Q2 below consensus!
Every week I’ll provide updates on the latest trends in cloud software companies. Subscribe now Q1 Software Earnings Are… Not Good We’re about halfway through Q1 earnings season, and it’s not been pretty. So far - you’re either tied to AI tailwinds, or it’s rough out there.
Every week I’ll provide updates on the latest trends in cloud software companies. 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. 2024 will be the year of AI applications!
Every week I’ll provide updates on the latest trends in cloud software companies. Subscribe now Foundation Models Are to AI what S3 was to the Public Cloud Many people look at 2006 as the birth of the public cloud - the year Amazon launched AWS. Follow along to stay up to date! Why am I mentioning all this?
Every week I’ll provide updates on the latest trends in cloud software companies. Back then the median software NTM rev multiple was ~6x. Then there’s software specific data points. Then there’s the broader software universe. Follow along to stay up to date! Today it’s ~5x.
Every week I’ll provide updates on the latest trends in cloud software companies. This is all important because on a relative basis, high growth software is expensive. So on a growth adjusted basis, high growth software is expensive. And everyone hoping for AI acceleration will need to wait.
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. I had done some software consulting. So we said, “Hey, why don’t we do that with enterprise software?” Short on time?
Every week I’ll provide updates on the latest trends in cloud software companies. AI = Data + Compute I’ll continue beating this drum, but we got two great quotes from Azure and AWS this week. ” Then at AWS Summit they called out “Your data is your differentiator when it comes to Generative AI.”
The rise of foundation models and generative AI only furthers this trend. But this isn’t another post about AI, it’s about the future of data infrastructure. As Frank Slootman (Snowflake CEO) said, “Enterprises are also realizing that they cannot have an AI strategy without a data strategy to base it on.”
A vulnerability assessment tools or virtual app scanning for your software team has become as important as your git repository or your ticket management system. API vulnerability scanner API security testing ensures business data packets that move between two software applications and ip addresses are secure.
AWS, GCP, and MS Azure all have product offerings that address IAM and IdP requirements and security concerns. If you are running web servers, or have a web-based platform, product, or solution, that may be susceptible to an attack in this manner, a WAF is a great security consideration for you. What is an IPS? Finally, IPS.
Whether you’re using AWS, GCP, or MS Azure as your IaaS (Infrastructure as a Service) provider, hosting your data in the cloud doesnt automatically mean its secure. And trust me, in todays digital business environment, cloud-based compliance software is not something you can afford to skip.
With smart compliance automation software and dedicated GRC experts , Scytale guides you every step of the way, helping you strengthen your security practices and tackle compliance and data privacy frameworks like SOC 2, ISO 27001, HIPAA, and GDPR with ease. DOWNLOAD WHITEPAPER 6.
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