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Within the next 12 months, Adam Seligman, VP of Generative Builders at AWS, believes there will be an inversion of SaaS. Keep reading to learn what the four most common SaaS assumptions are, and watch Adam knock each one down with the power of generativeAI. What does that mean?
There are 4 questions a startup should ask themselves about building a startup that uses generativeAI. I started with a few sentences, uploaded them to gamma.app to outline the presentation, popped over to Midjourney to generate images along the story line, & published it in IA Presenter.
Google Cloud Platform, on the other hand, is in a very different set that also competes with Microsoft, but AWS is considered their biggest competitor in the market. What they’re seeing with GenAI and Google Cloud is an opportunity to grab share from AWS. Right now, 70% of the GenAI startups are using Google Cloud.
The generativeAI platform comes with a suite of tools for tuning large language models, a data store built on lakehouse architecture, and an AI governance toolkit.
Matthew Miller, principal analyst at G2 focused on AI, agrees. His research of almost 200 categories with generativeAI features bares this out. This is one of those situations where companies need to slow down in order to speed up.” Full article linked More for your eardrums : Revisited episode feature this week!
While many gravitate towards major industry events for announcements, Joseph has a hot take (and we love a spicy take): do not announce a major new feature at a major industry conference (such as RSA Conference or AWS re:Invent). You will get lost in the noise. Post-Launch More than a one-hit wonder, the encore keeps going.
This is why the consumption players (Snowflake, Mongo, Confluent, Azure, AWS, etc) so more variability in the macro slowdown. And because the AI (particularly generativeAI) space has so recently come on the scene, there aren’t a huge number of vendors!
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.” AWS reports next week. So what did we learn?
We have companies like BuzzFeed and C3 making loose announcements about how they will incorporate generativeAI 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.
The rise of foundation models and generativeAI only furthers this trend. Typical data lake storage solutions include AWS S3, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS) or Hadoop Distributed File System (HDFS). Data Lakes have been a staple for a long time, storing both structured and unstructured data.
[03:08] Data wars [04:28] Big vs. small LLMs [08:13] Fine-tuning [13:52] Open source AI [17:51] Benchmarks are b t [19:30] Why Ali isn’t afraid of AI Why is it so hard for enterprise to adopt AI? Ben: Going to generativeAI, 1 of the things that’s been interesting for us as a VC, is we see all kinds of companies.
But if you need to do it right before you can pay anybody, including your shareholders and your people, then you’re gonna put an awful lot of effort into it. Talk a little bit about generativeAI specifically today. How is this technology different from the AI of your PhD in 1991? We saw that in the pandemic.
We had signed marquee and really distinctive deals with both AWS and Google in the last few years I was at the company. Angela: We’re right now in the middle of one of the largest technology platform shifts with generativeAI. So, I think at the end of the day there are enormous scale economies.
Before 2023, the term “generativeAI” was met with blank faces. But over the past 12 months, Open AI’s ChatGPT has gone mainstream, Twitter has become X, Silicon Valley Bank collapsed, as did FTX, and WeWork… How many of these did you see coming? What will 2024 bring?
Self-serve support: Zendesk goes beyond traditional knowledge bases to incorporate generativeAI capabilities that let you save time. For example, instead of writing entire help articles, you could come up with a few bullet points and ask the AI to expand on them. Its hosted in AWS and SOC 2 Type 2 compliant.
AWS Certified Solutions Architect for tech products). Gartner – Discover webinars on cutting-edge topics, including the impact of generativeAI on product management. This free Google certification equips you with those fundamentals.
And so when Amazon called me and they’re like, “Hey you want to come with us and do you want to actually start the mobile services, backend business within AWS?” David: Maybe you can talk about that transition, coming from a business like AWS to financial services, which I think was new for you.
GenerativeAI is a platform shift where models can take inputs such as text, image, audio, video, and code and generate new content into any of the modalities mentioned. They just happened to launch AWS and ended up capturing way more value just in themselves than the entire on-prem storage market before them.
” AWS on AI “AWS'sAI business is a multibillion-dollar revenue run rate business that continues to grow at a triple-digit year-over-year percentage and is growing more than 3x faster at this stage of its evolution as AWS itself grew." ” No commentary on 2025 AWS CapEx Q3 CapEx: $22.6B
AI is turning SaaS from a reactive tool into a proactive business partner. (B) B) The GenerativeAI Boom: SaaS That Creates for You Unless youve been living under a rock, youve probably heard about ChatGPT, DALLE, and other AI content generators. GenerativeAI is now embedded into SaaS tools everywhere.
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