Generative AI has passed Peak! 🚀
Gartner, Nvidia, Scaling Generative AI to 200,000 users and more!
Another busy week in the world of Data, AI & Analytics! In case you missed it:
How Do Gartner Hype Cycles Work? 🎥 Video Explainer 🎬
Unclear How NVIDIA Makes Money? 🧐 Follow App Economy Insights 🧐
How To Scale Gen AI to 200,000 Enterprise Users? 🙏🏻 JPM’s CDAO Explains 🙏🏻
📢 PSA 📢. If you like this newsletter, share the link carcast.substack.com with your friends, colleagues and partners and let’s build the best Data, AI & Analytics community on earth…and beyond! 🚀
Gartner's Hype Cycle for Artificial Intelligence declares Generative AI at Peak
The Hype Cycle is a good place to start for insights into what enterprises are doing...and what the future might look like:
🔑 Key Insight: By 2026, over 80% of enterprises are expected to use Gen AI models or applications—up from just 5% in 2023.
💡 What Does The Future Look Like?! AI’s future is collaborative, scalable and composable!
For more check out the below:
https://lnkd.in/g8CPsPRw
Comments? Want To See What The Community Says?! (Click here)
How Do “Hype Cycles” Work?
Watch the below and subscribe to the 🚘 CarCast.
Still unclear how NVIDIA makes money?
Do You Think Chat-GPT was the "iPhone moment of AI" (I don't 🤨). Follow my friend's Bertrand's newsletter (links here). A few call-outs from the call transcript & his analysis
Q: Is there NO LIMIT to Scaling AI?! 🤖
The question was about pre-training LLMs but Huang points to what happens AFTER LLM training: the emergence of post-training scaling (beyond RLHF) and inference time scaling i.e "the longer it thinks, the better and higher-quality answer it produces"
Q: Data Center is 88% of overall revenue & grew 112% YOY. 📈
Who are the main customers? 1) CSPs like Google, Amazon or Microsoft 2) Consumer Internet Companies like Meta and thousands of companies are building generative AI apps.
You vs. The Machine
I am pleased to announce that....on my journey as a "Human LLM" (reference below) I got confirmation that (...and at least from my wife...), I have as much (or perhaps less emotional intelligence) than ChatGPT....
More on my journey at https://lnkd.in/gijSJ8-R
Comments? Want To See What The Community Says?! (Click here)
What happens when you roll out Gen AI to 200,000 Enterprise Users?
JPMorganChase Chase Chief Data and Analytics Officer Teresa Heitsenrether unveils the "secret sauce" for success.
Step 1: Nobody could use Gen AI until the firm had 1) the infrastructure to support the demand and 2) the right data protection and governance model in place 🔒
Step 2: ONE Model DOESN'T fit ALL. LLM Suite is an abstraction suite that provides the ability to access MULTIPLE models 🎨
Step 3: It's NOT a subscription model. Groups pay for the consumption as the "unit of value" for the service 💵
Comments? Want To See What The Community Says?! (Click here)
The AI “Technology Sandwich”
74% of CEOs believe Gen AI will reshape industries by 2024 (up from 59% in 2023). YET, only 50% of orgs report hashtag#ROI success 🧐.
How do you balance the hype with real-world results? Gartner suggests you create “tech sandwiches”. More here.
