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diff --git a/site/sigmaguides/src/partners_snowflake_summit_2025/partners_snowflake_summit_2025.md b/site/sigmaguides/src/partners_snowflake_summit_2025/partners_snowflake_summit_2025.md
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--- a/site/sigmaguides/src/partners_snowflake_summit_2025/partners_snowflake_summit_2025.md
+++ b/site/sigmaguides/src/partners_snowflake_summit_2025/partners_snowflake_summit_2025.md
@@ -23,7 +23,7 @@ That's why they hired you, a seasoned category manager to take over a struggling
In this lab you will create an analysis using AI, and leverage a data application and forecast out product performance.
### Target Audience
-Snowflake SEs who are interested in getting some hands-on with Sigma. This is not available to the public. This lab is available to the general public at [this link](https://quickstarts.sigmacomputing.com/guide/partners_snowflake_summit_2025/index.html?index=..%2F..index#0)
+Participants of Snowflake Summit 2025 who are interested in getting some hands-on with Sigma.
No SQL or technical data skills are required for this hands-on lab.
@@ -31,7 +31,6 @@ No SQL or technical data skills are required for this hands-on lab.
A computer with a current browser. It does not matter which browser you want to use.
- A Snowflake issued laptop and OKTA access to “Sigma SE Demos”.
@@ -47,26 +46,32 @@ No SQL or technical data skills are required for this hands-on lab.
## Setup
Duration: 5
-Navigate to the OKTA home page, and click on the `Sigma SE Demos` tile. This will open up the Sigma account that has been set up as a demo sandbox for Snowflake SEs:
+**1:** Navigate to [Sigma](https://app.sigmacomputing.com/snowflake-summit-2025-hol):
-
IMPORTANT:
-From the Sigma home page navigate to the templates section:
+**2:** Sign up for an account using your personal email by selecting `Create an account` and entering your **personal email address**.
-
+IMPORTANT:
-
+ A computer with a current browser. It does not matter which browser you want to use.
+ A Snowflake issued laptop and OKTA access to “Sigma SE Demos”.
+
+
+
+NOTE:
+
+
+IMPORTANT:
+
+
+
+## Setup
+Duration: 5
+
+Navigate to the OKTA home page, and click on the `Sigma SE Demos` tile. This will open up the Sigma account that has been set up as a demo sandbox for Snowflake SEs:
+
+
+IMPORTANT:
+
+From the Sigma home page navigate to the templates section:
+
+
+NOTE:
+
+Notice that Cortex is suggesting we use the `BIG_BUYS_POS` table as a source because it has the required data for the requested prompt but also is a `Trusted` source.
+
+
+NOTE:
+
+[Download the Product Reviews CSV](https://sigma-quickstarts-main.s3.us-west-1.amazonaws.com/csv/Product_Reviews_Big_Buys.csv)
+
+Let's click on the table button on the left side of the `Element bar`:
+
+[Download the Price Changes CSV](https://sigma-quickstarts-main.s3.us-west-1.amazonaws.com/csv/Price_Changes.csv)
+
+**1:** From the `Element bar`, select `Input table` and drag a `CSV` input table onto the page:
+
+
+NOTE:
+
+**6:** We want to compare the original gross margin to the price change.
+
+Add a new column to the right of the `Price change` column and rename it `Adjusted profit margin`.
+
+Set its formula to:
+```code
+(([Total Revenue]*(1+[Price Change])) -[Total COGS])/((1+[Price Change])*[Total Revenue])
+```
+
+Change the column format to `Percentage`:
+
+
+NOTE:
+
+
+NOTE:
+
+Click `Save` on the input table.
+
+**7:** After entering the data, you should see a loading bar start. The machine learning model will process your changes and show real-time results based on Snowflake’s projections.
+
+