Databricks CEO on how to spot companies with an AI moat
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- Опубліковано 22 тра 2023
- Databricks CEO Ali Ghodsi says incumbents have an edge in the AI race over startups, by leveraging the large datasets they've spent years collecting to train their own AI model. "You actually don't need that much data and you don't actually need to spend that much money. You do need very big data sets that no one else has access to," he said. For access to live and exclusive video from CNBC subscribe to CNBC PRO: cnb.cx/2NGeIvi
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Palantir! Ahead of everyone else.
#palantir
Such a high quality and useful discussion!
Very good discussion! With the business languange, not so techie.
Good money for medical field, but insurance companies won’t let go profits
TESLA has an AI moat ! they have the models + huge datasets
Key word for AI used, Digital Twin
Palantir Technologies $PLTR they do this lol
P A L A N T I R Technologies
#PALANTIR
Where is the report?
Good questions by reporter.
To the CEO
Dude
Get top audio!
We're in a post COVID world!
Wake up! Smell the coffee. Set up!
#palantir
Sounds like doing the bidding of corporations. I'm raising chickens and gardening. Screw off augmentation.
How can Databricks keep your datasets safe if the clusters run on AWS, Azure and GCP? Those companies technically can look into your data anytime.
Databricks to the moon
sounds like Tesla's fsd and palantir is going towards this moat.
Palantir baby, ALL day long. The future of data governance/security/auditing for legal & ethical compliance. The ontology & underlying infrastructure they have built over the past 20 years, will be a requirement in the tech stack for government/commercial usage.
#PALANTIR
This is a company trying to purchase contracts for NHS data. This is incredibly dangerous.
Palantir no. Google, Apple, and Tesla yes.
Snowflake Inc
A data set
that no one else has
is not open source..
Imma get back in NNOX
On the contrary, instead of having the proprietary datasets in-house; why not a large industry platform where every player's datasets are part of a far broader dataset infrastructure built on customers' anonymity that then empowers every player to apply this bigger data infrastructure to designing more lucrative products?
Big Pharma, biotech, advanced silicon chip architecture and the old world of insurance readily come to mind!
That’s not how this works in my humble opinion. Big corporates want to keep their cards close to themselves. Their valuable data won’t end up in the public domain or part of a broader dataset infrastructure
@@BabyYoda1410
I still disagree.
Not because of how enterprise corporates see it.
But because each enterprise corporate doesn't have all the customers in its particular industry.
There's far more actionable insight in the industry platform approach than its in keeping cards close to yourself as an enterprise. That formula has been tried before there was internet and cloud servers, and by now we know why many of them were behind in the outcomes of data analytics.
OpenAI is the closest to a project that best explains what I'm saying, though in a different way.
Snowflake does this
@@lowellspinners88
I just googled it and found that accurate.
Thanks for the example.
There’s proprietary data that gives orgs a competitive advantage and then there’s scrubbed public data.
Doesn’t google have the most current data?
Not if companies arnt allowing them to crawl & index their sites.
All this new AI companies are benefiting with the Holy Trinity ASML TSMC Nvidia
Im so sick of hearing about AI already
What's annoying about it is the uncertainty of what to actually do. You hear that the smart thing to do is to get into AI and you also hear that programmers will be extinct in 5 years. I'm starting to get the impression that the much earlier players are the ones that'll cash in. Well that's if cash will exist in 5 years. I'm done..
From experience customer support is the worst application.
ServiceNow
When Databricks goes public, it will soon be more valuable than Snowflake or Salesforce..
He lost me at “we analyzed 9000 companies” 🚩
Lol WHY?
Hype hype hyper hype.