- Snowplow unveils AI Agent Event Collection and Analytics at Snowflake Data Cloud Summit 2024.
- The application, Powered by Snowflake, enables brands to analyze the impact of Generative AI investments like LLM customer agents on the user journey.
- Snowplow leverages Snowflake Cortex AI for uplift modeling, allowing measurement of LLM agents’ incremental benefits on customer conversion.
- Joint customers can gather usage analytics for AI agents and conduct sentiment analysis for conversations, aiding in enhancing agent effectiveness.
- Snowflake’s AI Data Cloud empowers product and engineering teams to develop, scale, and operate applications seamlessly, driving innovation in customer experience.
Main AI News:
In an exciting announcement at the Snowflake Data Cloud Summit 2024, Snowplow revealed the launch of AI Agent Event Collection and Analytics, a groundbreaking application powered by Snowflake. This innovative solution is poised to revolutionize how brands gauge the impact of Generative AI investments, particularly large language model (LLM) customer agents, on the user journey and digital experience.
“GenAI presents thrilling prospects for optimizing the customer lifecycle through customer agents. However, many organizations are hastily adopting GenAI strategies without a clear roadmap for success,” remarked Alex Dean, CEO, and Co-founder of Snowplow. “We’re delighted to collaborate with Snowflake in introducing a radically new approach for AI teams and product leaders to approach product analytics. This shift entails moving beyond merely understanding user journey clicks to comprehending the conversation flow between the user and the LLM.”
Leveraging Snowflake’s AI Data Cloud, Snowplow has harnessed Snowflake Cortex AI to implement uplift modeling with LLM events, allowing for the measurement of the incremental benefits of LLM agents on customer conversion. This data empowers industries such as e-commerce, media, and financial services, investing in GenAI initiatives to accurately calculate ROI and pinpoint optimization opportunities.
“As we embrace an AI-powered world, it’s crucial for brands to grasp the impact of innovations like AI agents on customer behavior,” emphasized Erin Foxworthy, Industry Principal at Snowflake. “It’s encouraging to witness partners like Snowplow continually investing in the AI Data Cloud to address these brand challenges. We eagerly anticipate the transformative potential of their AI Agent Event Analytics in enabling customers to make more informed business decisions leveraging Cortex AI.”
With AI Agent Event Collection and Analytics, fueled by Snowflake, joint customers gain the ability to gather usage analytics for AI agents and conduct sentiment analysis for conversations. This facilitates insights into enhancing the agent’s effectiveness or discerning instances where human intervention is necessary based on the correlation between the AI agent’s intent and subsequent user behavior.
By developing applications on Snowflake, product and engineering teams alleviate operational burdens, enabling them to scale and operate applications seamlessly. This empowers them to deliver innovative products to customers while providing builders access to essential resources for designing, marketing, and operating applications within the AI Data Cloud ecosystem.
Conclusion:
Snowplow’s launch of AI Agent Event Analytics on Snowflake signifies a significant leap in understanding customer behavior through AI technologies. This integration empowers businesses across various sectors to accurately measure the impact of AI agents on user interactions, enabling informed decision-making and optimization strategies in the evolving market landscape.
