LATRO Provides Generative AI Copilot Support to its Analytics Business.

Generative AI (GenAI) is a class of artificial intelligence algorithms used in unsupervised machine learning. The key innovation behind generative AI is its ability to generate new content—such as images, text, or even music—by learning patterns and structures from existing data. It has shown remarkable capabilities and has contributed to advancements in creative applications and content generation across various fields, including the telecom industry.

Unleashing Efficiency: Utilizing Generative AI for Analytics

In the ever-evolving landscape of analytics, the integration of artificial intelligence (AI) is revolutionizing the way we approach data workflows. One standout example is LATRO’s Analytics Platform’s—KNIME and its embedded generative AI copilot service, K-AI—an AI assistant designed to simplify the creation of visual workflows, making data analytics more accessible and efficient. [i]

Empowering Your Workflow with K-AI

Imagine having an AI assistant that not only builds visual workflows based on your instructions but also refines and enhances them as you chat about your data needs in plain English. K-AI, the innovative AI assistant from KNIME, does precisely that. It streamlines the process of upskilling, guiding you through low-code analytics, and answering your queries along the way.

Once your tailored workflow is ready, K-AI allows you to save and reuse it effortlessly for future calculations and reporting needs. Sharing these workflows with colleagues becomes a breeze, thanks to the clear step-by-step visual representation that K-AI provides.

Creating a Reusable Workflow: A Step-by-Step Guide

Let’s explore the potential of K-AI by constructing a budget report, a common requirement in financial analysis. Traditionally, this involves a meticulous review of account balances, a process prone to errors and time-consuming manual efforts.

Overview of the Dataset:

Consider a dataset with key values crucial for building a budget report. K-AI can be your ally in constructing a workflow, starting from scratch. By providing prompts in plain language, you can instruct K-AI to calculate the sum of money spent, assigned, and remaining for each project, streamlining your financial close process.

Constructing a Workflow with K-AI

1.  Prompting K-AI:

– “Use a .csv file to read the data.”

– “Build a pivot table and assign a rowID.”

– “Sort the rows and finally rename the columns.”

2. AI-Generated Workflow:

– K-AI generates a workflow that serves as a solid starting point.

– Fine-tune and improve the workflow based on your specific requirements.

3. Q&A Functionality:

– Utilize the Q&A mode to refine your workflow.

– Receive suggestions for suitable nodes and access additional resources.

Efficiency Unleashed: The AI Advantage

K-AI stands not just as a tool but as a practical ally in your day-to-day tasks. It not only assists in workflow creation but also delves deeper into refining solutions. In the example of a budget monitoring report, the workflow can be expanded and refined, leading to a definitive and accurate solution.

Unlocking the Full Potential of AI in Data Analysis

In this blog post, we’ve only scratched the surface of how K-AI can make your tasks smoother and more efficient. Beyond aiding in building reports, AI has the potential to elevate data analysis by uncovering hidden trends, patterns, and correlations that traditional methods might miss. Continuous learning, innovative approaches, and nuanced insights into your organization’s financial health are just some of the benefits AI brings to the table.

As we embrace the power of AI in analytics, we open the door to a new era of efficiency and sophistication in data-driven decision-making. K-AI is a testament to the transformative potential of AI assistants in shaping the future of data workflows.

To learn more about how LATRO can help you leverage Generative AI and more efficiency to your business, please contact us.

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[i] Inspired by: Kannan, Swetha. “Generative AI for Finance: Automate the grunt work.” KNIME (blog), November 28, 2023,