Reimagining the Telco Machine Learning Apps

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Reimagining the Telco Machine Learning Apps

Project type

Democratise AI, Enterprise, Low code no code

Date

November 2018

Location

Bangalore

Imagine business users, rich in domain expertise, effortlessly uncovering critical insights from Telco data, previously locked behind technical complexities. Our project delivers this impact through "Planner," a revolutionary application designed to democratize Machine Learning. By providing an intuitive, visual interface, Planner empowers non-technical users to perform sophisticated analysis, accelerating root cause identification and unlocking data-driven decisions.

Say goodbye to fragmented workflows and opaque processes. Planner consolidates the entire analytical journey onto a single screen, fostering clarity and efficiency. Interactive, customizable charts transform complex data into actionable visualizations, enabling users to directly engage with their information and uncover hidden patterns. Pre-defined algorithm templates further simplify the process, eliminating configuration hurdles.

The result? Business users gain unprecedented autonomy, performing analyses previously requiring data scientists. This translates to faster problem-solving, deeper business understanding, and ultimately, a significant impact on key Telco metrics. Planner isn't just an application; it's a catalyst for business transformation, empowering your team to leverage the full potential of your data.

Empowering business users with rich domain expertise but limited technical skills, Planner's intuitive interface democratizes Telco ML analysis, enabling them to effortlessly perform sophisticated tasks, accelerate insight generation, and drive significant business impact by unlocking data-driven decisions previously requiring specialized data scientists.

Who is our user?

Empowering business users with rich domain expertise but limited technical skills, Planner's intuitive interface democratizes Telco ML analysis, enabling them to effortlessly perform sophisticated tasks, accelerate insight generation, and drive significant business impact by unlocking data-driven decisions previously requiring specialized data scientists.

Planner overcomes business users' ML pain points by providing intuitive visualizations, a streamlined single-screen workflow, interactive charts, simplified algorithm templates, parameter history, enhanced high-dimensional exploration, natural interactions, error prevention, and deductive learning, empowering them to effortlessly conduct complex analyses.

How are we planning to overcome our user's painpoints?

Planner overcomes business users' ML pain points by providing intuitive visualizations, a streamlined single-screen workflow, interactive charts, simplified algorithm templates, parameter history, enhanced high-dimensional exploration, natural interactions, error prevention, and deductive learning, empowering them to effortlessly conduct complex analyses.

By prioritizing relevant, understandable, and actionable Telco datasets with sufficient quality and clear documentation, Planner's intuitive UI visually presents compatible datasets with clear descriptions and previews, empowering business users to directly address key needs, generate impactful insights, and drive data-driven decisions without deep technical expertise, thus maximizing the tool's value

Step 1: Choosing datasets

By prioritizing relevant, understandable, and actionable Telco datasets with sufficient quality and clear documentation, Planner's intuitive UI visually presents compatible datasets with clear descriptions and previews, empowering business users to directly address key needs, generate impactful insights, and drive data-driven decisions without deep technical expertise, thus maximizing the tool's value

Planner's intuitive drag-and-drop interface, featuring a visual algorithm library with compatibility cues and a template canvas, empowers non-technical users to effortlessly select appropriate algorithms, streamlining their analytical workflows and accelerating data-driven insights without requiring deep ML expertise.

Step 2: Choosing Algorithms

Planner's intuitive drag-and-drop interface, featuring a visual algorithm library with compatibility cues and a template canvas, empowers non-technical users to effortlessly select appropriate algorithms, streamlining their analytical workflows and accelerating data-driven insights without requiring deep ML expertise.

Running the model in Planner involves a simple "Run" action within the visual template, providing clear progress and status updates. Algorithms may have pre-configured defaults or intuitive parameter adjustments, and the UI offers user-friendly error indicators, abstracting technical complexities for business users.

Step 4: Simulation a Model

Running the model in Planner involves a simple "Run" action within the visual template, providing clear progress and status updates. Algorithms may have pre-configured defaults or intuitive parameter adjustments, and the UI offers user-friendly error indicators, abstracting technical complexities for business users.

Utility Patent for Guided Drilldown Framework

My Workspace

Planner tool rebranded as "My Workspace" application for the Business user

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