Скачать или смотреть Snowflake AI + Data Predictions 2025: Increase Your Enterprise AI Quotient. A lot.

If you invest :20 minutes in reading “AI + Data Predictions 2025” by the rockstars at Snowflake, your Enterprise AI Quotient will go up. Way up.

6 key takeaways and a link to the excellent report below.

#1: What was the killer app for Spreadsheets? Spreadsheets. Killer app for LLMs? LLMs…
“What an LLM does is itself the killer app,” says SVP of Engineering Vivek Raghunathan. “Look, if you ask me what was the original killer application of spreadsheets, maybe it was finance. But that’s maybe 10% of use cases throughout the enterprise.”

“The killer app for the spreadsheet was the spreadsheet. It was a new way for people to be productive, and I guarantee you that there are industries now where you couldn’t live without spreadsheets.”

“Similarly, the killer app of a LLM is the LLM itself. It is a new way for people to be productive, and people are discovering new use cases of it every day.”

#2: Snowflake is all in on the Semantic Layer. IYKYK.
“What’s missing from today’s data platforms is the semantic layer, the understanding of what the data means."

"When you have financial data in a table, it’s the developer or the analyst who understands where the data came from, how it was calculated, what it means.”

"Having to build that understanding into every application you develop on top of your data would be simply too burdensome”

“The semantic layer is a critical aspect that needs to be pushed down close to the data so the AI can understand the nature of the data and do a much better job…You don’t want to reinvent the semantic concepts for each app. You want to push down to the data layer — that’s the next evolution.”

#3: What Amanda Kelly said, +1000.
“This is happening already, but the seismic shift will take time…It really takes innovative thinkers to fundamentally change the approach to development. Right now most companies are mostly using AI coding tools for small efficiency gains.”

"They’re not really thinking about a complete paradigm shift, in part because the tools are not there - yet.”

#4: “Boards don’t care about experiments” aka “show me, don’t tell me.”
“Boards don’t care about experiments; they care about profit sustainability…There’s a bright line between firms that can explain what ROI is being delivered by AI and firms that are merely experimenting.”

#5: In Financial Services, the winners won’t just win, they’ll dominate.
“There will be winners and losers in the race to operationalize AI in financial services but the gap separating them will be massive, not marginal.”

“When AI is deployed alongside a solid data strategy and surrounded by a culture of openness and creativity, it has the potential to be the greatest accelerant we’ve seen since the rise of cloud computing” - Rinesh Patel

#6: LLMs are a bicycle for the mind.
“There’s always a long tail of people using a technology for things you don’t expect. LLMs are a bicycle for the mind that will unlock creativity for things we haven’t even conceived of yet.”

Link to the post: https://www.linkedin.com/posts/alecch...