The AI Task Force You Need At Work
Вставка
- Опубліковано 18 тра 2024
- Your database solution, Singlestore: tiny.one/QUtq9Wa
Book time w/ Greg: tiny.one/8eJm3r4
Want to enable your employees with AI tools but not sure where to start? Join Greg as he shares key learnings from top companies who have created AI committees.
Learn why you need leadership buy-in, how to manage expectations around AI's capabilities, and explore ideas for workforce enablement. Discover real-world examples of AI use cases that are boosting efficiency and revenue. This quick video will give you a blueprint for getting your own AI committee off the ground.
Outline
0:00 - Introduction
0:51 - Get Serious
1:09 - Manage Expectations
1:58 - Enablement
3:24 - Sponsor: Singlestore
4:52 - Reflect & Retro
5:55 - Use Cases
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- Contact Me: Twitter DM, LinkedIn Message, or contact@dataindependent.com - Наука та технологія
Love the editing on this video, and as always, awesome work Greg. Thank you!
Super cool - ya I'm working with a new editor who is helping bring these videos to life - thank you
top quality content, subscribed.
Thanks Arvolve!
Thank you for the video. In my company (big pharma) , we are in the phase of proving the concept of using LLMs in our workflows. Technology is easy to build but difficult to scale; we need to gather some data before we invest more broadly in this technology. The bigger challenge is changing people's mindsets; still, 90% of people do not even try to learn new technology.
Super interesting
What do you think is the incentive that is needed to have them care more to learn?
Greg, I focus on the 10% who want to change. I organize practical workshops + build case studies to convince higher management to invest. @DataIndependent
@@micbab-vg2mu keen to chat
Hey Greg I'm looking for information regarding retraining data periodically, ideally in streaming fashion.
I have an evergrowing database
Thanks Vitz, I haven't covered that yet but it's a good idea for later
@@DataIndependent Oh my preferred tools are Azure and Cosmos DB (postgres database), it abstracts a lot away, you can RAGs too. So if you'd like you can build upon that