Recent reports and industry insights highlight a significant shift in the enterprise AI landscape, particularly in the adoption and implementation of generative AI (GenAI). A16z released an enterprise AI report after engaging with dozens of Fortune 500 companies, revealing OpenAI's dominant market share for production use cases. However, data indicates a growing trend among Fortune 500 companies towards testing, trading, and training AI models on Google's platform, signaling a competitive market. OpenAI leads the enterprise AI model market with 66% of companies using it in production, followed by Google at 50% and Llama at 30%. Deloitte's report on GenAI adoption in the enterprise sector and insights from Fortune Magazine on early use cases and adoption further underscore the growing interest and application of GenAI across industries. Salesforce is making strides in reinventing its business model through its AI initiatives, with Profluent, a project backed by Jeff Dean, focusing on using AI for medicine discovery. The rise of open-source startups, fueled by the demand for AI and data infrastructure, is also noted, reflecting a broader trend towards open-source solutions in the enterprise AI space. The year 2024 is marked as a pivotal point for AI in production, with a notable shift from prototype to production phases across various companies, driven by the maturation of generative AI technologies.
📈🇺🇸 Open source startups fueling the AI revolution! A recent report shows a boom in demand for these pioneers, driving the AI and data infrastructures forward. https://t.co/tPCLDAwaVw
16 Changes to the Way Enterprises Are Building and Buying Generative AI https://t.co/fzh37hVx9v
#GenerativeAI like #ChatGPT heralds a future of efficiency, but Christopher Ganz warns of losing deep learning in pursuit of convenience❗ We must balance #AI's prowess with the richness of human expertise.🤖📘 #SwissCognitive #FutureOfWork https://t.co/fVseM0NyDQ
AI and data infrastructure drives demand for open source startups: https://t.co/bb80deGEia by TechCrunch #infosec #cybersecurity #technology #news
AI and data infrastructure drives demand for open source startups https://t.co/ME22IrITnb
OpenAI leads the enterprise AI model market, with 66% of companies using it in production, followed by Google (50%) and Llama (30%). https://t.co/dpwGq9WZ3E
2024 might be a local maximum in the hype cycle. At the same time, lots of progress in reliable (non-hallucinating) AIs at startups like https://t.co/HzQNaiaiCr We have real Enterprise use cases running, like CX. https://t.co/vBKjqn3rom https://t.co/oC8QtTYKjo
Profluent, spurred by Salesforce research and backed by Jeff Dean, uses AI to discover medicines: https://t.co/xq5dtZBxU3 by TechCrunch #infosec #cybersecurity #technology #news
Profluent, spurred by Salesforce research and backed by Jeff Dean, uses AI to discover medicines https://t.co/qB6tN7yEh7
How Salesforce is looking to reinvent itself with its fledgling AI business https://t.co/fu42QmsOaf
How can organizations get ahead of #GenAI demand to avoid "Shadow Generative AI?" @DomLovesAI shares his POV in @dataversity: https://t.co/zwgU0BkEv0
Enterprise generative AI use cases, apps about to surge https://t.co/wVE1pHgQw1 If 2023 was the year of generative AI pilots, 2024 will be about moving to production and 2025 will likely be warp speed. Why? The generative AI building blocks are falling into place. @ldignan
Enterprise generative AI use cases, applications about to surge https://t.co/8zk0fQmH7l If 2023 was the year of generative AI pilots, 2024 will be about moving to production and 2025 will likely be warp speed. Why? The generative AI building blocks are falling into place @ldignan
Enterprise generative AI use cases, applications about to surge https://t.co/U4PHrOVuyH If 2023 was the year of generative AI pilots, 2024 will be about moving to production and 2025 will likely be warp speed. Why? Generative AI building blocks are falling into place. @ldignan
Enterprise Generative AI is barely getting to the no-code tools phase.
2024 is the year of AI in production, and I wanted to share some of the key insights from our conversations with Fortune 500 execs about their adoption of LLMs at the enterprise. How are the largest companies moving AI from prototype -> production? - 🚀 Top use cases: Code… https://t.co/URvWyoxMsx
a16z repost, Open source AI is booming for enterprises https://t.co/U5X27ubmVI
Some thoughts on new @FortuneMagazine data on early Generative AI use cases and adoption. I’ve been pretty consistent in saying that GenAI will start as an efficiency driver and a clear productivity gainer and the initial Killer apps will center around those items. The TLDR in… https://t.co/cJJR5uU4Iu
Enterprises prefer and want to use open LLMs for production! 🫡 In 2023, we saw the rise of Generative AI in 2024, companies started moving into production, and they prefer to use open Models! 🤗 @a16z created an insightful report interviewing Fortune 500 companies on how they… https://t.co/KvAHdWVT0U
Interesting report by Deloitte on GenAI adoption in the enterprise https://t.co/TWZFXN6kJM
A16Z: "....enterprise leaders reported a number of models in testing, which is a leading indicator of the models that will be used to push workloads to production. For production use cases, OpenAI still has dominant market share, as expected" https://t.co/e7wZADQnFx
Fascinating that significantly more Fortune 500 companies are testing AI models on Google vs. OpenAI. Via @a16z and @sarahdingwang https://t.co/mJBPoGB8kg
Fascinating that significantly more Fortune 500 companies are training AI models on Google vs. OpenAI. Via @a16z and @sarahdingwang https://t.co/A63hrTY9yS
Fascinating that significantly more Fortune 500 companies are trading AI models on Google vs. OpenAI. Via @a16z and @sarahdingwang https://t.co/414IHXqnFV
Interesting AI model enterprise survey data from @a16z @sarahdingwang https://t.co/xOi7caFZ3A
As generative AI continues to evolve, here's how this year's most innovative companies in the enterprise category are leveraging the technology to enhance some of their most popular products. https://t.co/s8tbwnkO3W
a16z just released an enterprise AI report after speaking to dozens of Fortune 500 companies. Thanks @sarahdingwang for this. Here are 8 insightful slides: 1. For production use cases, OpenAI still has dominant market share. https://t.co/TwqU1yExSa
In a thought-provoking article, @EhsErich reflects on how a new industry is democratizing generative AI implementation and how byproducts of research and broadly available tools are now closer than ever. https://t.co/kWi88SQyrm