In this post, we explore how generative AI can revolutionize threat modeling practices by automating vulnerability identification, generating comprehensive attack scenarios, and providing contextual mitigation strategies. Unlike previous automation attempts that struggled with the creative and contextual aspects of threat analysis, generative AI overcomes...
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 items requires significant effort and...
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. In this post, we introduce...
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 an open platform accessible to...
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 expanding at an increasing pace....
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, creating workflow bottlenecks.
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