Using ML Canvas
to Define Machine
Learning Objectives

Keeping goals and data at the center of AI

DOWNLOAD THE CASE STUDY
ebook1 1 (2)

Augmenting collaboration for effective communication with ML Canvas

Executing machine learning projects using Machine Learning Canvas for aligning teams, defining goals, and ensuring ML models meet business goals.

Download the PDF to learn:

arrow

The strategic advantage of creating an ML model to scale detection efforts for massive data volumes

chat

How ML Canvas helped achieve effective project communication and collaboration

chat-bubbles

How Encora customized ML Canvas to uniquely meet the communication needs of all teams

Aligning AI Strategies with Goals and Data-driven Insights

Keeping Goals and Data at the Center of AI

This case study delves into the challenges faced by a US-based telecom equipment provider in managing large volumes of data while filtering through system alerts. To address this, they required a robust tool that enables seamless communication across teams and countries.

The two-way communication platform enabled them to achieve alignment and a successful approach at an accelerated speed, leading to timely conclusions on a broader scale. This case study also highlights ML Canvas' capabilities in:

  • Solving technical problems
  • Supporting efficient iterations
  • Accurately defining the value proposition

Download the case study by filling out the form to access the full story.

FIND OUT IN THE CASE STUDY

About Encora

Encora is a digital engineering services company specializing in next-generation software and digital product development. We help you define your strategic innovation roadmap, build capabilities to accelerate your pace, fast track your development process, and maximize market adoption.

let's talk