The Open Worldwide Application Security Project (OWASP) states that insecure output handling neglects to validate large language model (LLM) outputs that may lead to downstream security exploits, including code execution that compromises systems and exposes data. This...
GenAI in the enterprise is still in its infancy. The excitement and potential is undeniable. However, enterprises have struggled to derive material value from GenAI and the hype surrounding this technology is waning. We have talked with hundreds of organizations...
In the ever-evolving landscape of trade finance, digitization and compliance automation are paramount for efficiency and regulatory adherence. Enter Cleareye.ai, a pioneering force in the industry. Their digital workbench, ClearTrade®, revolutionizes trade finance...
The Vectara and Datavolo integration and partnership When building GenAI apps that are meant to give users rich answers to complex questions or act as an AI assistant (chatbot), we often use Retrieval Augmented Generation (RAG) and want to ground the responses on...
Datavolo Raises Over $21 Million in Funding from General Catalyst and others to Solve Multimodal Data Pipelines for AI Phoenix, AZ, April 2, 2024 – Datavolo, the leader in multimodal data pipelines for AI, announced today that it has raised over $21 million in...
Data Engineering for Advanced RAG Datavolo helps data teams build multimodal data pipelines to support their organization’s AI initiatives. Every organization has their own private data that they need to incorporate into their AI apps, and a predominant pattern to do...
The true power of chatbots is not in how much the large language model (LLM) powering it understands. It’s the ability to provide relevant, organization-specific information to the LLM so that it can provide a natural language interface to vast amounts of data. That...
The Evolving AI Stack Datavolo is going to play in three layers of the evolving AI stack: data pipelines, orchestration, and observability & governance. The value of any stack is determined by the app layer, as we saw with Windows, iOS, and countless other...
Why did ELT become the most effective pattern for structured data? A key innovation in the past decade that unlocked the modern data stack was the decoupling of storage and compute enabled by cloud data warehouses as well as cloud data platforms like Databricks. This...
In the past week, since Datavolo released its Flow Generation capability, we've witnessed fantastic adoption as users have eagerly requested flows from the Flow Generation bot. We're excited to share that we have recently upgraded our models, enhancing both the power...