The Missing Ingredient in Weather Intelligence
The organizations winning with weather intelligence aren’t the ones with the most accurate weather forecasts.
Snowflake published a blog post last week on what they call weather intelligence. It caught my eye (needless to say) — and I have thoughts.
They give the following good examples: Cargill uses weather data to reroute ships and cut emissions. The Met Office helps hospitals anticipate ambulance demand. The examples are real. The value is real.
But the post leaves out the hard part.
Data Is Not a Strategy
For every Cargill, there are many retailers, CPG brands, restaurant operators, and health systems paying — in some cases, dearly — for weather data … and not getting a meaningful payback.
Weather data vendors, by and large, deliver the map. The decision is left to you. That gap — between raw weather data and systemic business action — is where many organizations sit today.
Sure, Snowflake can efficiently deliver boatloads of weather data. But it doesn’t get you a strategy. It doesn’t (directly) get you the analytics needed to create a signal. It doesn’t get you the decision that drives the value.
The organizations winning with weather intelligence aren’t the ones with the best data access. They’re the ones with a system that executes when the signal fires.
The Decision Layer
The missing ingredient isn’t more data. It’s the layer between signal and action — the strategy, the analytics, and the agentic AI systems that turn a weather data signal into a workflow action at the right moment in the right process.
That's the lever that turns weather intelligence into business value … at scale. And it's mostly unsolved.
One organization building directly into that gap is ERaaS Health. Their initial focus is heat — the weather variable with the most direct, measurable, and underreported impact on human health outcomes. Heat kills more Americans annually than any other weather event. The people most at risk are often the least visible — until it’s too late.
ERaaS combines environmental intelligence with member-level data to help healthcare organizations identify vulnerability earlier and intervene sooner. They don’t surface insights and hand you a report. Agentic AI enables the action — at scale, in real time, before conditions escalate.
That’s the decision layer. Not a dashboard. Not a data feed. An agentic system that closes the gap between knowing and doing.
What It Actually Takes
Weather intelligence done right requires three things working together: a strategy built around your specific business or population, data you can trust — and no, you cannot accurately predict the weather a year out — and a system that executes when the signal fires.
Some organizations — very few — have the first. Most have the second. Almost none have the third. And many who think they have a strategy are running it on gut feel and a spreadsheet.
True story: years ago, I worked with a hedge fund manager who covered retail. He tracked the weather by writing the day’s conditions on a paper calendar — and referred to it the following year when analyzing earnings comps. Smart guy. Serious fund. Stone Age tools.
Snowflake is a piece of the infrastructure. An important piece to be sure. But infrastructure without strategy is just expensive plumbing.
Without a strategy, no AI system in the world drives enterprise transformation. The missing variable isn't the weather data. It's the strategy to act on it.
—Paul
Musical Coda
Note: In addition to publishing G2 Weather Intelligence, I am an advisor at ERaaS Health.