SALESFORCE, INC. FQ4 2024 EARNINGS CALL FEB 28, 2024
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It's what our engineering and product teams have done in the last 12 months is nothing short of amazing. I'm so grateful to their
leadership. And to David and Srini and to all of the employees, thank you for what you have done for Salesforce. Your leadership,
your vision, your insights, your creativity in rebuilding the platform so quickly. And Data Cloud, for artificial intelligence, for Steve,
what you have done, for Juzer, for my whole team, it's incredible.
As I said, it's not only a remarkable year of transformation for Salesforce, it's been an amazing year of transformation for our entire
industry.
As I talk to CEOs around the world, they tell me, they want 3 things. You may have heard me say this already, but I'll say it again.
One, they want more productivity, and they're going to get that productivity through the fundamental augmentation of their employees
through artificial intelligence. It's happening. It's empirical.
Number two is, they want higher value customer relationships, which is also going to happen through this AI. And they want higher
margins, which we are seeing empirically as well through the -- when they use this artificial intelligence in these next-generation
products.
As we look at productivity, as we look at higher value customer relationships, as we look at higher margins, how do our customers
get these things? How are they achieving these goals? It is AI. It is why every CEO and company knows they need to make major
investments in AI right now. And I believe this is the single most important moment in the history of the technology industry. It's
giving companies an unprecedented level of intelligence that will allow them to connect with their customers in a whole new way.
And with our Einstein 1 Platform, we're helping out our customers transform for the AI future.
Now many of our customers have inspired by OpenAI's GPT 4. I have Cohere, I have [ Tropic ], I have an Inflection, I had and also all
the amazing models on hugging face and other AI models, all these things, amazing. And everyone has been wowed by what these AIs
can do, incredible things and a lot of party tricks, a lot of magical things. And then we also realized there are some other things, too.
Let's talk about the truth. The truth is these AI models are all trained on amalgamated public data. You all understand that. You've all
seen the New York Times lawsuit of OpenAI or others who are really going to tackle, hey, this is all -- these are amalgamated stolen
public data, much of it used without permission, unlicensed, but amalgamated into these single consolidated data stores.
Now some of my people even say this is just stolen data, but all this public data has been amalgamated into what they call training
sets. And these training sets then get turned into what we call inference, which is how the AI then is able to start to deliver its insights.
But there's other things that it's providing besides insights. These AI models, well, they could be considered very confident liars,
producing misinformation, hallucinations. Hallucinations are not a feature, okay? And I'm going to get to that point in a second. And I
think you all understand it that already -- because at this point, we all have a high level of experience with AI, don't we? Everyone has
had that experience. And there's a danger though for companies, for enterprises, for our customers that these are not trusted solutions.
And let me point out why that is. Especially for companies who are in regulated markets, why this is a big, big deal. These models
don't know anything about the company's customer relationships and, in some cases, are just making it up. Enterprises need to have
the same capabilities that are captivating consumers, those amazing things, but they need to have it with trust and they need to have it
with security, and it's not easy.
Look, we all read the story. Now it just happened last week. An airline chatbot prompts by a passenger to book a flight with a 90-day
refund window. It turns out the chatbot, running on one of these big models, we won't have to use any brand names here, we all know
who it was, hallucinate the option, it did not exist. We all know what that's like. We've all had the experience. So here's the chatbot. It
hallucinates the option, it's working with the customers, it didn't exist, it did not exist.
The airline said, "Oh, listen, that was just the chatbot. It gets that way some time. We're so sorry. You know what, that's just a separate
technical entity, a separate legal entity and the airline, "Oh, we can't -- we're not going to hold liable for that." Well, guess what? That
defense did not work in a court of law. The court of law said that, that AI chatbot that made up, that incredible new policy for that
company -- well, that company was going to be held responsible, liable for that policy, that they were going to be held liable for the
work of that chatbot. Just as they would for a human employee, they were being held liable for a digital employee.
The reality for every enterprise is that to deliver trusted AI experiences, you need these 3 essential components now. You need that
compelling user interface. There's no question, a natural and effortless experience. And at Salesforce, we have some of the most
intuitive user interfaces that deliver insights and intelligence across sales and service and marketing and commerce and industries.
Many of you are on Slack right now. Many of you are on Tableau. Many of you are on MuleSoft, or one of our other products.
Okay. Now what else do you need? Number two. You need a world-class AI model. And now we know there's many, many models
available. Just go to Hugging Face, which is a company that we're investor in or look at all the other models. And by the way, not