Working with Generative AI for knowledge work, over the past few years, one thing is very evident: you have to pair powerful A.I. with knowledgeable individuals, to make the most out of it. Trying to make a non-clinically trained person a clinician by aiding them with powerful
ENTERPRISE AI
-
Infrastructure Evolution for AI: IT Leadership Considerations
By
–
Evolving Your Infrastructure for AI: Top Considerations for IT Leaders
See https://
nvda.ws/44gF8dE A superb freely available #learning resourcehere from @nvidia supporting organizations to maximize the potential of their initiatives – absolutely critical given -
LLMs errors tolerance: rethinking AI deployment beyond zero-error
By
–
I think too many people think only of AI use in places where errors are not tolerated. It isn't good at that. LLMs hallucinate & make mistakes. But for a huge amount of work, human error is tolerated, and the question is whether AIs (working with humans) make more or less
-
Snorkel Flow Latest Release Spotlight by Datanami
By
–
Thank you to datanami's Ali Azhar for the great spotlight on the latest release of Snorkel Flow! Get the full story: https://
buff.ly/49QBsQR -
SAS Three Critical Questions for Trustworthy AI Innovation
By
–
Delighted to host Josefin Rosen on #CXOSpice at #SASInnovate on Responsible #Innovation and #TrustworthyAI.
— Helen Yu (@YuHelenYu) 26 avril 2024
Check out the three critical questions SAS always asks when AI is involved.
Watch the full interview here: https://t.co/xXoQIVQycd#SASInnovate #SASVisionary #AI… pic.twitter.com/RpFA39BEGyDelighted to host Josefin Rosen on #CXOSpice at #SASInnovate on Responsible #Innovation and #TrustworthyAI. Check out the three critical questions SAS always asks when AI is involved. Watch the full interview here: https://
lnkd.in/gr9jwVtm #SASInnovate #SASVisionary #AI -
Employees as R&D: Frontier AI Access and Experimentation Strategy
By
–
Your R&D team for using AI is your employees, they can better experiment and judge the results of AI co-intelligence than anyone in a central research organizations. Paying for frontier AI access for employees, and giving people time and incentives to experiment, is an R&D cost.
-
Snorkel Flow Enhances Data Security with Role-Based Access Control
By
–
We've introduced enhanced role-based access control (RBAC) in our latest release of Snorkel Flow, giving you the power to fortify your data integrity. Discover how Snorkel Flow's RBAC controls can help you build secure, enterprise-grade AI solutions: https://
buff.ly/3JCsufy -
Flowise Enables Dynamic Model Selection via JSON Configuration
By
–
2/ Models {JSON} You can now specify the model you want to use in a JSON file. Previously users have to wait till next release to use latest model. Now, it's automatically fetched from a specified path: https://
raw.githubusercontent.com/FlowiseAI/Flow
ise/main/packages/components/models.json
… Learn more at -
Llama 3 Empowers Enterprises with Data Ownership Control
By
–
Thank you Angela Yang for including us in this piece. Llama 3 is so exciting for AI and it's great to see the focus on enterprises having more options to maintain ownership of their own data, as well as the output of their work. Read the full story: https://
buff.ly/4bcneel -
Coca-Cola and Microsoft Partner on Cloud and AI
By
–
[#Article] Coca-Cola & Microsoft: The Alliance of Two Giants Around #Cloud and #GenAI https://actuia.com/actualite/coca-cola-microsoft-lalliance-de-deux-geants-autour-du-cloud-et-la-genai/
… #AI #artificialintelligence