Meetings play a crucial role in decision-making, project coordination, and collaboration, and remote meetings are common across many organizations. However, capturing and structuring key takeaways from these conversations is often inefficient and inconsistent. Manually summarizing meetings or extracting action...
Developing robust text-to-SQL capabilities is a critical challenge in the field of natural language processing (NLP) and database management. The complexity of NLP and database management increases in this field, particularly while dealing with complex queries and database structures....
This post is cowritten with Renyu Chen and Dev Tagare from Robinhood.
Robinhood has been a pioneer and disruptor in the once staid world of online brokerages. Founded in 2013, the company transformed an industry better known for gatekeeping into...
This post is co-written with Vicky Andonova and Jonathan Karon from Anomalo.
Generative AI has rapidly evolved from a novelty to a powerful driver of innovation. From summarizing complex legal documents to powering advanced chat-based assistants, AI capabilities are...
Organizations manage extensive structured data in databases and data warehouses. Large language models (LLMs) have transformed natural language processing (NLP), yet converting conversational queries into structured data analysis remains complex. Data analysts must translate business questions into SQL queries,...
This blog post is co-written with Jacky Leybman from PagerDuty.
As organizations scale their digital operations, they face unprecedented challenges in managing and extracting value from their vast data ecosystems, particularly when it comes to data accessibility and quality. The...
