Skip to main content

Command Palette

Search for a command to run...

Series

AI Cloud and Data Engineering Articles

  1. The AI Adoption Gap: What Boardrooms Are Buying vs. What Employees Actually Need

    In recent years CEOs and CIOs have rushed to proclaim new AI initiatives, but the ROI on most projects has been disappointing. Surveys and reports now show that the vast majority of enterprise AI pilots deliver no clear financial benefit. For example, a Fortune report cites a new MIT study finding that only about 5% of generative-AI pilots “achieve rapid revenue acceleration” — the other 95% “stall, delivering little to no measurable impact on P&L”. Likewise, industry analyses find that most companies see zero return on their AI investments: one report noted “95% of organizations report zero return” from GenAI projects. In short, very few AI trials are turning into profitable solutions.

    Aug 2, 20268 min read
    The AI Adoption Gap: What Boardrooms Are Buying vs. What Employees Actually Need
  2. Moving from Snowflake Streamlit Warehouse Runtime to Snowpark Container Services: Restricted Caller Rights, Installing Third-Party Packages and Building Enterprise AI Applications

    In this article, we explain why enterprise AI apps take this path and how to configure it correctly. We cover Row Access Policies with CURRENT_ROLE(), the new restricted caller’s rights model, granting CALLER privileges, and the precise SQL for network rules and external access integrations to install PyPI packages, and an end-to-end example of an authenticated user triggering a restricted caller’s‐rights query.

    Jul 4, 202620 min read
    Moving from Snowflake Streamlit Warehouse Runtime to Snowpark Container Services: Restricted Caller Rights, Installing Third-Party Packages and Building Enterprise AI Applications