The Journey of Data: From Raw Numbers to Actionable Insights with LLMs

Wondering how to take your data from its raw, decontextualized state and actually leverage it to produce actionable insights through the power of a Large Language Model (LLM)? The infographic below provides a visual overview of the 10 steps to achieving this, split into two phases – Preparation and Action.

This infographic is a visual introduction to how your organization can take the next step in preparing for and acting on LLMs. EK has experience in designing and implementing solutions that optimize the way you use your knowledge, data, and information, especially in the Enterprise AI space, and can produce actionable and personalized recommendations for you. If this is something you’d like to speak with the AI experts at EK about, contact us today.

Ian Thompson Ian Thompson is a Solutions Architect & Data Engineer with over 4 years of experience spearheading innovative data management, analysis, and visualization initiatives. Demonstrated expertise in the development of sophisticated graph solutions, utilizing a proficient skill set in Python, SQL, R, and Tableau. Distinguished in the field for architecting advanced relational and graph database management strategies, system integrations, ETL processes, and complex problem-solving capabilities. Engineering cutting-edge data architectures and integration frameworks, my work facilitates enhanced data interoperability, efficient analytics, and the strategic utilization of machine learning technologies for data classification and insight generation. More from Ian Thompson »