Quotesby GlyphEnterprise AI quotes
69 quotes from 27 people
- Most business AI use is the messy middle: multi-step workflows that need a smart enough model at a price a company can afford. It is the most important part of the market today, & it is where the competition is fiercest.
- Every company, every enterprise, every country would become an AI company...
- It’s rare to work with an unlimited token budget, but at OpenAI, that’s what all engineers, researchers, finance colleagues, and marketing folks do.
- Even in a world that is speeding up, it takes time to make changes inside a firm, let alone across an economy.
- AI doesn’t change the question: it creates new choices and moves the thresholds.
+2more from this essay
- Instead of having to create those tools one at a time, software might be dynamic, generative, free-form, and spontaneous. Massively more tasks can be automated, with massively less software.
- None of this is solved by making easier to write code - by making it easier to make tools. The hard part is knowing that you need a tool for this in the first place, and then knowing what the tool should do.
- Every quote from Benedict Evans
- AI continues to compound our advantages, creating a flywheel effect across the business.
- No government or enterprise should have to choose between capable AI and control over their technology...
- It is increasingly clear that the tech debt of every company masks significant flaws, and defenders need to find and fix them before attackers do.
- Enterprises don't just want AI that talks. They want agents working across their business that remember context, deliver accurate answers, and execute work without blowing through their budgets...
- If you want to change what AI you are using, you basically have to fire an employee that has months of context on your organization and replace them with a fresh one that you have to retrain from scratch.
- Demand for AI sovereignty has now been unleashed. And Palantir is the only company that has demonstrated it can transform tokens into actual economic value.
+1more from this filing
- We are advancing the frontier on the cost-to-outcome curve, ensuring every customer can turn tokens into business results...
- We fundamentally believe that we are in the early innings of a structural shift for business, and that our portfolio - across software, infrastructure, and consulting - is well-positioned to help our clients tap the value, and manage the challenges, of an AI-driven future...
- Enterprises are moving from tokenmaxxing to valuemaxxing.
- In the AI age, the buyer risks giving away knowledge, just in order to use what they bought. You essentially pay for intelligence twice, once with money, and again with something even more valuable: the proprietary knowledge you must reveal to make that intelligence useful.
+1more from this blog
- I asked, 'How many of you are either seeing materially positive ROI today or have a path in the next couple of months to really high ROI?' 90% of hands went up, which is totally different than a year before.
+1more from this press
- If you're a CFO and AI can't tell you why margins changed, or you're a sales leader, and it can't find your next upsell, that's not an AI problem, that's a context problem.
+1more from this press
- Every company is going to have to build what I think of as human capital and token capital.
+1more from this blog
- Agentic AI is the biggest growth opportunity for our customers, and for Salesforce.
- As clients scale use cases, AI continues to be a tailwind for our global business. IBM products and services are helping clients orchestrate, deploy and govern AI across hybrid environments...
- But if you sell the work, every improvement in the model makes your service faster, cheaper, and harder to compete with.
+2more from this essay
- Agents, however, will tilt much more heavily towards pure acceleration, making those drivers of value much more impactful.
- We’ve rebuilt Salesforce to become the operating system for the Agentic Enterprise, bringing humans and agents together on one trusted platform. And the more intelligence moves to where work happens, the more valuable Salesforce becomes.
- This past year has been transformative for every business, as the promise of AI became real, and Snowflake sits at the center of the enterprise AI revolution.
- But what we’ve seen from the beginning, at least if you look within Anthropic, there’s this bizarre 10x per year growth in revenue that we’ve seen.
- Gemini is becoming the AI engine for the world's most successful software companies.
- We are an n of 1, and these numbers prove it. Palantir is alone in choosing to exclusively focus on scaling the operational leverage made possible by the rapid advancements of AI models, a trend that we first called ‘commodity cognition’ well before others started repeating it...
- Anthropic joins a very select group of partners where we have nine-figure alignment, co-innovation at the product level, and a proven track record of executing together for customers worldwide.
- So my new concept is the future of a company is that company has its own foundation model that captures essentially the tacit knowledge that makes the transactional costs of how knowledge gets accrued and diffused inside the organization faster.
- In fact, I kind of look at it and say that our business, which today is an end-user tools business, will become essentially an infrastructure business in support of agents doing work.
- This outstanding Q3 performance is the clearest demonstration yet that ServiceNow is the AI platform for business transformation...
- As AI continues to expand into businesses and governments around the world, the opportunity ahead is massive.
+1more from this filing
- To succeed, we must continue to think in decades but execute in quarters, approaching each day with the humility and curiosity required to continuously improve, while being guided by our bold vision for the future.
- This revolutionary new cloud service enables the tens of thousands of our database customers to instantly unlock the value in their data by making it easily accessible to the most advanced AI reasoning models.
- Our generative AI book of business continues to accelerate and now stands at more than $7.5 billion...
- Often, adoption of AI is not a technology problem – it is an organization, process, and people issue.
+1more from this blog
- We are delivering the operating system for the modern enterprise in the era of AI.
- ServiceNow’s position as the platinum standard for enterprise-grade AI drove these outstanding first quarter results...
- So it strikes me as quite unique and remarkable that LLMs display a dramatic reversal of this pattern - they generate disproportionate benefit for regular people, while their impact is a lot more muted and lagging in corporations and governments.
- Enterprise IT is excited because one big promise of AI, especially agentic AI, is that everything will connect to everything.
- And my take for example is that at the end of the day, a BI tool is a 2D structure that is trying to represent a very complex multidimensional world and if you can imagine a dataset with just like 10 or 12 dimensions, trust me, there’s no simple dashboard that can represent that.
+2more from this interview
- Because roughly speaking, if you put a chat bot in front of a person, one of the first questions they’re going to ask is, “What will my revenue be 15 years from now?”, which no model has any business answering.
- I think we are redefining the line between product and services thanks to AI and thanks to agentic capabilities.
- Every quote from Sridhar Ramaswamy
- Today, Snowflake is the most consequential data and AI company in the world.
- I do think the SaaS applications that exist today, these CRUD applications, are going to fundamentally be changed because the business logic will go more into this agentic tier.
- Our business results continue to astound, demonstrating our deepening position at the center of the AI revolution. Our early insights surrounding the commoditization of large language models have evolved from theory to fact...
- The teams with the best products I’ve seen all have human evaluation to supplement their automated evaluation.
+1more from this blog
- Our obsessive drive to produce product cohesion and ease of use has built Snowflake into the easiest and most cost effective enterprise data platform.
- We absolutely eviscerated this quarter, driven by unrelenting AI demand that won’t slow down. This is a U.S.-driven AI revolution that has taken full hold. The world will be divided between AI haves and have-nots.
- We continue to see great momentum in AI as our models are trusted, fit-for-purpose, and lower cost, with performance leadership.
- And if you, like, take the best model on the planet and let it loose on an arbitrary schema, the likelihood that it’s actually going to understand the nuance of what’s in there, close to zero.
+2more from this podcast
- And these models react pretty violently to the addition of a period in a prompt. And so I think there needs to be this idea that you need good old fashioned software engineering, and you need to measure the performance of these things.
- So for example, I tell people you have no business believing the raw output of a language model for anything. You can’t actually do any business with that because it’s ungrounded.
- Every quote from Sridhar Ramaswamy
- With our new Agentforce AI platform, we’re reimagining enterprise software for a new world where humans with autonomous Agents drive customer success together.
- We are successfully campaigning the largest enterprises globally, as more companies and institutions make Snowflake’s Data Cloud the platform of their AI and data strategy.
- Client demand for AI is accelerating and our book of business for watsonx and generative AI roughly doubled from the third to the fourth quarter...
- Snowflake as the global epicenter of trusted enterprise data is well positioned to enable the growing interest in AI/ML. Enterprises and institutions alike are increasingly aware they cannot have an AI strategy without a data strategy.
