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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.
“Because of our overall differentiation, more than 18,000 organizations now use Azure OpenAI service, including new-to-Azure customers.” ” “Higher-than-expected AI consumption contributed to revenue growth in Azure.”
Calendar Quarter Azure OpenAI Orgs, k CoPilot Users, m Power Platform Orgs, k 1/1/24 53 1.3 “Our own research as well as external studies show as much as 70% improvement in productivity using generativeAI for specific work tasks.” Many companies are moving in this direction. ” This wave isn’t slowing.
They addressed the top concern for CISOs: the impact of generativeAI on enterprise security. Here’s what they had to say about the key considerations for technology adoption and strategies CISOs can employ to navigate the rise of AI-driven security solutions: 1. What is the biggest security threat that enterprises face today?
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.” ” Data is more important than ever!
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!
As more workloads and data move to the cloud and generativeAI takes over the enterprise , cybersecurity is more critical today than ever. And that’s because with every new paradigm shift—from the internet to cloud computing—the sheer magnitude of digital threats has exploded and threat vectors have become increasingly sophisticated.
While I expect this is an issue that generativeAI will eventually fix, when it comes to developing for developers, Microsoft tends to stand out because it knows better than most what they struggle with.
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.
[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.
Then we’re going to do some work together to figure out how to take those models, those platform building blocks, and get them deployed into products that Microsoft offers, like GitHub Copilot, as well as deploy these things into environments like Azure and Azure OpenAI API, where people can just build their own software on top of it.”
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.
GenerativeAI took the consumer landscape by storm in 2023, reaching over a billion dollars of consumer spend 1 in record time. Over the past couple months, we’ve spoken with dozens of Fortune 500 and top enterprise leaders , 2 and surveyed 70 more, to understand how they’re using, buying, and budgeting for generativeAI.
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. I suspect we'll spend more on that in 2025.
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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