PH Deck

Users need to forecast their Excel data without advanced AI, Deep Learning, or Machine Learning capabilities

Drawbacks: Limited accuracy in forecasts, manual forecasting processes, time-consuming analysis

Users seek comprehensive AI education but find traditional materials too dense and lacking engagement.

Users struggle to transform Excel files into data dashboards and analysis reports efficiently, spending extensive time on data analysis and report writing. The process is often manual, slow, and prone to errors, which hampers productivity and efficiency.

Users are struggling to utilize AI and ML technologies effectively in their creation and business operations, leading to underutilization of these potent tools for product streamlining, operational efficiency, and growth.

Users seeking AI/ML careers face theoretical, non-job-focused traditional education leading to skill gaps and low employability.

Users struggle to create mind maps manually or using basic tools, leading to inefficiencies and limited functionality.

Machine learning enthusiasts struggle to find a diverse and comprehensive set of prompts to experiment with, which limits their learning and application in different contexts. The lack of access to a wide range of machine learning prompts hinders their ability to fully understand and experiment with the technology's capabilities.

Users spend hours manually analyzing Excel data and creating reports, leading to inefficiency and wasted time.

Users rely on manual data analysis requiring coding skills and setup time, leading to slow, complex, and less accessible insights.

Users experience difficulty in managing and analyzing data due to the technical complexities involved in traditional analytics and Machine Learning (ML) platforms, resulting in a barrier to efficiently utilize data insights for decision making. Technical complexities and the need for coding knowledge make it hard for non-technical users to embrace data analytics and ML development.