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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. You’ll see this more generally in the ecosystem.
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. The Pace of AI is Increasing Dramatically Something ground-shifting has been happening over the last five years — the pace of innovation.
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!
The generativeAI platform comes with a suite of tools for tuning largelanguagemodels, a data store built on lakehouse architecture, and an AI governance toolkit.
[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? As the AI infrastructure for enterprise, why is it so hard for enterprises to adopt generativeAI?
And so, what happened is I was working on this program on artificialintelligence in medicine that had originated at Stanford under Ted Shortliffe, who was extremely well known, even back then, for building one of the first expert systems to diagnose blood-bacterial infections. Like, this is not anything like artificialintelligence.
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? Polis Pilavas , VP Engineering at ChartMogul “AI will dominate and disrupt.
ArtificialIntelligence (AI) & MachineLearning (ML) in SaaS Imagine logging into your SaaS platform, and instead of staring at static dashboards or manually running reports, your software tells you exactly whats happening and what to do next. Well, AI and machinelearning (ML) are making it a reality.
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