Traditionally, business users must queue up requests with data science teams for insights, causing delays. AI changes this by enabling non-technical users to query enterprise data directly using natural language, receiving answers in seconds and empowering faster, data-driven decisions.

To overcome the sentiment that AI is just hype, Snowflake's CEO advocates for building and using internal AI agents daily. He personally uses a sales agent on his phone in executive meetings, demonstrating its practical value which drives both internal adoption and external credibility.

AI-powered platforms transform how leaders consume insights. Instead of passively receiving periodic reports from a central analyst, leaders are empowered to pull real-time information on demand for immediate needs. This enables more timely decision-making without creating an analytical bottleneck.

Snowflake drove internal AI transformation through a dual approach. The CEO issued a top-down mandate making AI non-negotiable, while the company simultaneously provided bottom-up empowerment by giving all employees access to a coding agent to build their own tools and solutions.

Conative.ai bridges the gap between marketing and inventory teams, who traditionally operate in isolation. By presenting a unified view of marketing campaign data alongside inventory levels, the platform serves as a common ground that forces collaboration and breaks down organizational silos, leading to better-informed decisions.

Traditional dashboards are obsolete because they create more questions than answers. The future is interactive, conversational AI that allows leaders to ask 'why' and get immediate answers and recommendations, eliminating follow-up meetings and Slack messages.

Dashboards show data but not the 'so what.' While conversational AI helps answer user questions, the next evolution is proactive insight generation. Future AI tools will solve the 'we don't know what we don't know' problem by suggesting actions and surfacing opportunities marketers haven't thought to ask about.

Traditional automated dashboards are often ignored. AI-driven reporting is superior because it doesn't just present data; it actively analyzes it. The AI summarizes trends, generates relevant follow-up questions, and even attempts to answer them, ensuring that insights are never missed, even when stakeholders are busy.

Snowflake moved beyond basic AI tools by building proprietary agentic models. One agent analyzes campaign data in real-time to optimize ad spend and ROI. A second 'competing agent' provides on-demand talking points for sales and marketing to use against specific competitors, solving a massive enablement challenge.