Seek AI shares our perspective on how agents can power your data stack.

There’s been a lot of buzz and excitement recently about agentic AI, the next generation of artificial intelligence systems that are set apart from traditional AI by their ability to operate autonomously and take independent action to accomplish specific goals. 

First things first: with all the noise out there about agents, how do we even define them? At its most basic interpretation, IBM defined an AI agent in simple terms as, “...a system or program that is capable of autonomously performing tasks on behalf of a user or another system by designing its workflow and utilizing available tools.”

Forbes recently delved into the topic and wrote, “Think of agentic AI as a digital assistant on steroids. Instead of just answering your questions or performing simple tasks, it can take initiative, solve complex problems, and adapt its approach based on changing circumstances. It's like having a tireless, hyper-intelligent intern who not only follows your instructions but also anticipates your needs and comes up with creative solutions you might never have considered.”

While the majority of conventional AI models are limited to only carry out pre-programmed tasks or react to commands, agentic AI is capable of proactively making decisions, planning action, and even learning from experience—all while pursuing objectives set by its human drivers. 

Thinking about the applications of Agentic AI in business offers myriad possibilities to increase efficiency of operations and processes across departments– from sales and marketing to HR, customer support, and more.

But the biggest opportunity for agentic AI to increase business growth is rooted in data analytics–specifically, by transforming your data stack and data strategy. We believe in the years to come, market leader winners and losers will be determined by the effectiveness of their data and their speed to actionable insights influencing better business decisions and outcomes. 

As the pioneer of generative AI for data, engineered by the brightest AI researchers and data scientists, Seek is the best partner equipped to help enterprise businesses implement agentic AI system technology into their data stack. Here are the ways your enterprise can use Seek AI’s cutting edge agentic technology for data analytics today.  

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Understanding Agentic AI Architecture for Data Analytics 

Seek AI offers an agentic AI setup powered by a proprietary system of state-of-the-art large language models (LLMs). This architecture allows the platform to operate more autonomously and intelligently when interacting with your data and extracting insights from it.

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Seek AI’s Agentic Features for Data Analytics

Dialogue Agent - Interpret Natural Language Input from Business Users and Data Teams  

Seek AI provides a conversational interface that allows data teams and non-technical users to interact with structured data using natural language queries. This enables the AI to understand and respond to user intent in a more human-like manner.

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Semantic Parsing Agent - Autonomous Code Generation

The system can autonomously generate accurate code based on natural language inputs, without requiring users to have data expertise. This demonstrates the AI's ability to independently translate user requests into actionable database queries.

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Explanation Agent - Result Interpretation

Seek AI’s technology ensures that a (data analyst) result interpretation agent will analyze and explain query outputs. 

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Exploration Agent - Guided Explorations

Suggested intelligent questions to help you explore the data as you work with Seek.

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Multi-Agent Collaboration

Combining all of the agents above, you can understand how Seek AI employs multiple AI agents working together to process queries and generate results. This multi-agent approach allows for more complex reasoning and problem-solving capabilities.

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Adaptive Learning

Once Seek AI is trained on your structured data, it will adapt and improve its performance over time through feedback loops and iterative refinement of its semantic models.

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System Design & Interface 

The design of Seek’s technology ensures its ability to:

• Manage complex analytical tasks with minimal human oversight
• Generate highly accurate and contextually relevant responses to data queries
• Demonstrate ongoing improvement of its performance following interaction and feedback

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By offering these AI capabilities, Seek AI strives to break data barriers slowing down business growth and make data insights more accessible to all levels of business, while always maintaining high levels of accuracy and security.

Want to learn more about how to work with Seek AI to supercharge your data team? Contact us today for a demonstration here. 

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