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Subscribe now Azure Report - Cloud Infra Looks Good! For software, all eyes were on Azure - which grew 31% YoY (ahead of expectations closer to 29%). Azure doesn’t disclose exact Azure quarterly revenue (they disclose growth rate in absolute terms and in constant currency), but there are good estimations.
Subscribe now “Grouping + AI” for Triage One area I’m quite excited to see AI revolutionize is “grouping + triage” workflows. Many of them AI based. They each have some of the largest cloud businesses in the world in AWS, Azure and Google Cloud respectively. Follow along to stay up to date!
It’s worth pointing out that Azure is a bit above the long term trendline, while AWS is still below (but accelerating up). It’s worth pointing out that Azure is a bit above the long term trendline, while AWS is still below (but accelerating up). Some software companies also have seasonality in the “payback.”
The ultimate failure of Siri to dominate the AI personal assistant game might come to be seen as its biggest miss of the decade. The wave of SaaS companies that built themselves on the likes of AWS and Azure have reinforced the pre-eminence of cloud computing.
This is why the consumption players (Snowflake, Mongo, Confluent, Azure, AWS, etc) so more variability in the macro slowdown. This brings me to AI (everything leads to AI these days…). When it comes to AI there is now another BIG culprit in misused ARR which I’m calling ERR (we use this term internally).
Subscribe now Cloud Giants Report Q3 ‘23 Not a great signal for software this week from the Cloud Giants (AWS, Azure and Google Cloud)…After Q2 (3 months ago), the tone from the Cloud Giants around optimizations was largely: optimizations have started to ease, and net new workloads have picked up. Staggering scale already.
2: LinkedIn is Migrating to Microsoft Azure. 3: Microsoft Invests $1 BIllion in OpenAI to Develop AI Technologies on Azure. 6: “Tinder In-App Purchases No Longer Use Google Play Billing” Mobile subscriptions are becoming a big deal, although it’s early overall. And ask them if it could happen to you.
” Microsoft on Azure : “And I think last quarter, we said one, we are going to continue to have these cycles where people will build new workloads. So what you're seeing is much more of that continuous cycles by customers, both when it comes to AI or whether it comes to the traditional workloads.”
Who are the real AI winners. It looks at the YoY dollar change in quarterly revenue from the hyperscalers (just looking at Azure / AWS because the data goes back further) going back a few years. To calculate implied ARR I take the subscription revenue in a quarter and multiply it by 4. net retention and CAC payback).
Cloud Giants Report Q2 We also got the Q2 quarters from AWS / Azure / GCP this week! Our expectation, obviously again, is that we are going to significantly increase our investments in AI infrastructure next year, and we'll give further guidance as appropriate.”
Hyperscaler Preview Next week Amazon, Microsoft and Google report earnings and we’ll see Q3 data for AWS, Azure and Google Cloud. These are thought to be the early AI winners, largely due to all of the compute they’re selling to power GenAI applications.
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. Microsoft launched Azure in 2010, and Google launched GCP to the public in 2011 (they launched a preview of Google App Engine in 2008, but made it publicly available in 2011).
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!
This can lead to an airpocket of valuation as companies transition to a different primary valuation metric Outside of the hypserscalers (Azure, AWS, GCP) who have uniquely benefited from AI revenue (mainly selling compute), everyone else has largely struggled. Coming in to Q1 there was broader optimism. Q4’s were generally good!
AWS (Amazon), Azure (Microsoft), and Google Cloud (Google) all reported this week. Azure reported on Tuesday and gave us that glimmer of hope. Azure : Coming into the quarter, a growth rate that would have satisfied the market would have been ~29%. Azure came in at 31% (constant currency). Follow along to stay up to date!
So far - you’re either tied to AI tailwinds, or it’s rough out there. And in the public universe, it’s really only been the hyperscalers who’ve benefited from AI. Most public companies don’t report net new ARR, so I’m taking an implied ARR metric (quarterly subscription revenue x 4).
The three worlds are: B2B2C B2B2B AI And then there are folks in impacted categories like ZoomInfo , where things haven’t really improved. And there’s AI. Jason tweeted WTF because many things are happening in AI, like 200x ARR rounds. A lot of the funding rounds for AI feel like 2021 again, but only for this subset of people.
Usage on Snowflake is driven by queries run on Snowflake Azure: Neutral Tone With Strength in AI Overall I’d characterize Azure’s quarter as a net positive. ” They’re also seeing some real strength in AI Services. They guided to 26-27% growth in Azure in Q2 (with 1% coming from AI).
AI = Data + Compute I’ll continue beating this drum, but we got two great quotes from Azure and AWS this week. Satya at Microsoft said “Every AI app starts with data and having a comprehensive data and analytics platform is more important than ever.” Subscribe now Busy week! AWS reports next week.
If next quarter we get similar commentary that Azure gave us this quarter (“still a couple quarters away” without any specific guidance), then we may see market loose a little patience. And everyone hoping for AI acceleration will need to wait. The question is how patient will they be waiting for this?
A unique feature of Zoho Analytics is its AI-powered assistant that can answer all your questions in the form of meaningful reports. Power BI can integrate with Azure Machine Learning—plus, its ML and AI features are driven by Azure functions built into the Azure Cloud.
We have companies like BuzzFeed and C3 making loose announcements about how they will incorporate generative AI into their business, sending their stocks up 50-100%+. In the short term, enjoy the ride as the chase continues 😊 Kind of related to all of this - we now have seen the Q4’s from AWS, Azure and Google Cloud.
While we aren’t going 100% usage-based overnight, if you look at some of the mega-trends in software—things like automation, AI, and APIs—the value of a product normally doesn’t scale with more folks logging in. But growing with a usage-model is not as straightforward as traditional subscription SaaS.
Software as a Service (SaaS): SaaS providers have ready-to-use software applications over the internet on a subscription basis. Key examples are Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform, which provide scalable resources like virtual servers and storage. You don’t handle maintenance or updates.
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. Aaron Levie: Exactly. Is AWS in the lead?
Self-hosted SaaS environments that don’t leverage third-party vendors must also proportionally split their self-hosting expenses between company use for business operation and customer subscription platform usage. . Professional services are billable implementation and customization services sold to customers.
Apttus built their applications on the Microsoft Azure platform with the goal of opening new markets, specifically with Microsoft Dynamics CRM. However, their focus over the past few years has been on building a multi-platform approach (Salesforce, Microsoft, and IBM) and in eCommerce, AI, and behavioral apps.
The software integrates well with over 65 tools like Microsoft Azure, Google Compute Engine, Google App Engine, and many others to deliver a seamless user experience. Mailchimp provides extensive AI-powered, user-friendly tools to its users for rapid growth. The only difference in these plans is based on the number of subscribers.
Found in 2011 by Ashish Thusoo and Joydeep Sen Sarma, Qubole works on developing a “cloud-based data lake platform for self-service AI.” The company offers a data analytics platform based on Amazon Web Services (AWS), Google Clouds, and Microsoft Azure.
AI Commentary Some interesting AI commentary / stats I wanted to highlight from a couple earnings calls this week Microsoft on AI “We're excited that only 2.5 years in, our AI business is on track to surpass $10 billion of annual revenue run rate in Q2.
is OpenAIs newest Generative Pre-trained Transformer model, unveiled as a research preview in late February 2025 Its essentially an upgrade to the powerful GPT-4 model, aimed at making AI responses feel more natural, knowledgeable, and reliable. But what does that mean for an AI? OpenAI describes GPT-4.5 Initially, access to GPT-4.5
From AI-driven applications to automation that slashes tedious tasks, SaaS solutions are becoming smarter and more efficient by the day. Well, AI and machine learning (ML) are making it a reality. In 2025, AI is supercharging SaaS applications, making them more intuitive, predictive, and flat-out smarter. Lets break it down. (A)
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