Hot in Enterprise IT/VC - What's 🔥 in Enterprise IT/VC #367
What's 🔥 in Enterprise IT/VC #367OpenAI Dev Day - it was the best of times, it was the worst of times; also latest data on AI deployment in enterpriseSo which is it for you? Many enterprise founders reminded of Charles Dickens after yesterday’s OpenAI developer day (tweet here) It was the best of times, it was the worst of times, it was the age of wisdom, it was the age of foolishness, it was the epoch of belief, it was the epoch of incredulity, it was the season of light, it was the season of darkness, it was the spring of hope, it was the winter of despair… Charles Dickens, A Tale of Two Cities Holy 🐮 - the OpenAI developer day announcements are 🤯. It’s 45 minutes, and if you haven’t’ watched already, you should drop what you are doing now and watch it here 👇🏼. This gives you a glimpse of what’s ahead for GPT, how non-developers can build their own GPTs on their own data without knowing any code (OpenAI term for agents), and use Zapier enterprise integrations which can easily be called via natural language chat to build sophisticated bots and workflows. I must say I haven’t been this pumped 💪🏼 for awhile. The future is certainly bright for AI as OpenAI continues to democratize access to APIs and make it easier for anyone to build their own custom instances. And oh yeah, they will have an App Store like Apple which will only accelerate this into the mainstream. We are not too far from a future where we all have our own Jarvis scouring the web 24/7 to do things for us. It’s coming faster than you think. That being said, I also stand by my assessment in April this year that funding niche white spaces where OpenAI and others aren’t solving them is a fast path to roadkill 🧵. So if my “Poof” comment in April centered around Amazon Bedrock, you can now multiple that 100x as what OpenAI is building is incredible. Here’s the rest of my 🧵: BTW, here are some areas which now will be difficult for the “first movers” to navigate 👇🏼 While it may be extreme, you get the point. Here’s what that could look like for Vector databases - I highly encourage you to click through to read the comments for downsides as well. But the cost advantage can work differently when creating custom models on-prem. For many large enterprises this cost may be a drop in the bucket in exchange for access to developer tools, better models, more accuracy, etc. but for mid-market or smaller cos this could be cost prohibitive and a reason to go on-prem with open source or to explore micro-models as well. And by the way, it’s still super early in the enterprise! As always, 🙏🏼 for reading and please share with your friends and colleagues! Scaling Startups
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What's 🔥 in Enterprise IT/VC #366
Saturday, November 4, 2023
Reflecting on 27 years of enterprise software investing + understanding the experience trap
What's 🔥 in Enterprise IT/VC #365
Saturday, October 28, 2023
The new era in venture and race to be first: Inception Investing - what does it mean and why pre-seed ain't first any more
What's 🔥 in Enterprise IT/VC #364
Saturday, October 21, 2023
🤯 Enterprise software spend to cross $1 Trillion, reaccelerating 📈 to 13.8% from 12.9%
What's 🔥 in Enterprise IT/VC #363
Thursday, October 19, 2023
Thoughts + 🙏🏼 on 🇮🇱 ... b4 regularly scheduled programming: Loom exit, seed valuations...
What's 🔥 in Enterprise IT/VC #362
Saturday, October 7, 2023
What's ahead in Q4 from LPs and VCs (Origins Podcast) - more shutdowns?, hard choices for seed funds?, net new company funding 🔥, default 1st 10 in office, TVPI vs. DPI
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