TIME100 Talks: The Future of Enterprise AI
Words: | 5,082 |
Duration: | 00:29:10 |
Recorded On: |
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Uploaded On: | about 2 months ago [Wed, 18 Sep 2024 21:30 UTC] |
Transcribed On: | about 2 months ago [Wed, 18 Sep 2024 21:33 UTC] |
At: |
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Using: | uploaded [TIME100 Talks The Future of Enterprise AI.mp4] |
Language: | English (US) |
Channels: | 2 |
Sample Rate: | 44100 Hz |
Shareable Link: | |
Speakers: | A - 14.54% B - 41.72% C - 43.74% |
Notes:
- I'm so pleased to be here with Parker and Daniela, who need no introduction. Both tremendous leaders in this industry and founders. Our conversation today, the future of enterprise AI. And we want to talk a little bit about trust and ethics.
- There's a healthy amount of questions and skepticism around what should I be using AI for. Quad highly recommend dipping your toe in first with a low stakes use case and building from there.
- Parker: Slack is a great example of how to bring AI into enterprise technology. In search, summarize conversations. Agent Forest slots right inside of slack. We're going to all be using AI more and more to get our work done.
- Much like time, Slack is how we communicate everything. It's often a, uh, really overwhelming amount of data and information. Claude can be an incredible, incredible partner in helping to summarize information. There's an immense amount of potential across an application like Slack.
- All of Slack's data will be available in data cloud. Data cloud will also federate out to your snowflakes and all the other structured databases. We're building integrations to unstructured information. That's the power of the future.
- Daniela: Where are we today? What led us to the, and where do you think we're going in the future? Parker: I think we finally, in the enterprise, I would call it hitting the tipping point. I think it's the fastest technology has moved for me in a very long time.