For the layman and the uninitiated, AI is the box of wisdom and knowledge, which provides all that you require, with no effort or complexity at the back end, delivering the highest level of precision, which is ready to use. Can AI ever reach the seamless knowledge nirvana in everything the world has to offer, only time will. As of now it is just the beginning. We are currently in the nascent stages of Agentic AI. Agent AI is known for its ability to perform complex, multi-step tasks in minutes at best, but its effectiveness heavily depends on accurate ‘data retrieval.’ The problem statement thus is that as the data sources grow, managing data securely and retrieving accurate information becomes very challenging.
With this problem statement in mind, addressing AI-data mismatch is Snowflake, an AI data cloud firm which recently launched Cortex Agents. This bunch of AI tools are designed to efficiently retrieve and orchestrate both structured (like Snowflake tables) and unstructured sources (such as PDF) for business insights. The business insights / intelligence enabled decision making can be truly transformative, in tune with the pace and requirement of the AI age. The rapid derivation of actionable insights is the magic sauce of Agent AI if created in the right way.
By streamlining the retrieval and processing Cortex Agents enable the development of high-quality, scalable data agents. Cortex Agents as you would expect utilize LLMs to process and analyse data. “Snowflake has integrated Anthropic’s Claude 3.5 Sonnet model into its platform, enhancing reasoning, coding and workflow capabilities. What are the main features of Cortex Agents? Necessarily, it has to start with planning. Agents can parse complex queries. They also have the capability to disambiguate ambiguous questions, split them into tasks and select the appropriate tools for the purpose.
The second important feature is tool utilization. This is the core of the Agent function. Cortex Search extracts insights from unstructured sources. Cortex Analyst generates SQL to process structured data. This enables sophisticated applications to be fully grounded in enterprise data. The third feature is termed as reflection. After each tool use, agents evaluate results to determine next steps and goes through a predetermined process to reach best possible accuracy. The final stage is that of monitoring and iteration. It is a great feature for the customer to track metrics post-deployment. Continuous improvements can keep you above the curve and also provides you the confidence to scale AI agents as required.
CORTEX AGENTS PROVIDE AI-POWERED DATA RETRIEVAL AND ANALYSIS FOR FASTER, INFORMED DECISIONS.
Sanjay Sahay
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