EBOOK
Snowflake AI +Data Predictions 2025
Your AI-accelerated future will include operationalizing AI, rewriting your leadership skill set, and harnessing the next killer app.
Hear from more than a dozen experts and execs on:
Taking LLMs from inspiration to real value
Adapting to an AI-powered workforce
Securing AI in the enterprise
Plus focused predictions for 7 key industries
Observability will make or break your AI deployments
Our internal experts say to take generative AI one step at a time. Step one is ensuring your infrastructure is based on security and governance for enterprise-grade AI. The next crucial step is observability.
“Without observability, you’re flying blind.”
Mona Attariyan
Autonomous agents will bethe gauge of success for AI
What is the best use of AI? According to our panel, it will take the form of autonomous agents that can take simple instructions, farm out subtasks to various models, and complete the overall project independently. Today, copilots can handle repetitive tasks that are simplified and automated, but AI is not up for reasoning, planning and a high degree of sophistication. Yet.
“That’s going to be the measure of next-generation performance. Not how well a model does on the SAT, but how well it does multistep planning and problem solving."
Vivek Raghunathan
More focused AI strategies will overcome the backlash
Companies will establish more guardrails for models, and retrieval augmented generation (RAG) — which lets models cite the sources of their specific organization’s data — will dramatically reduce hallucinations.
“Models increasingly can be tuned to protect against problems like bias.”
Baris Gultekin
Bad actors will attack via the AI models themselves
Bad actors will start to move into the ML infrastructure layer itself, forcing the model to provide the wrong answer, or worse, to divulge private information — like the data the model was trained on. Organizations will be forced to establish a rigorous security approach to operationalizing AI.
“There need to be whole levels of controls around how a model was trained and what data was used, and there will be a bigger push toward more formality around that."
Brad Jones
Leaders need to embrace curiosity to keep up with AI
As AI helps employees work smarter and faster, leaders may struggle to keep up. Endless curiosity is essential for evolving as a leader in an AI-accelerated world.
“What’s good for the goose is good for the gander.”
Sridhar Ramaswamy
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