Welcome to the future of education!<\/p>\n
At Embibe, we have just one mission – to truly personalise education. Because every child deserves it. This has led us to embark on this noblest of journeys to deliver life and learning outcomes for every student! Rooted in consumer behavior, we are leveraging AI to deliver personalised achievement journeys for every student.<\/p>\n
Embibe has traversed a long journey from a data-centric product to an AI platform. On this journey, we have realised that the most powerful teams are: 1. Vision Led in understanding student context and obsessed with success; 2. Self-Organising in defining their own agenda; 3. Intellectually Fierce and Globally Conscious in their choices, and 4. Consistently Excellent in their execution.<\/p>\n
After exploring a deeply functional organisational structure in engineering, we are now evolving towards a problem-solving team structure that manifests at the platform and backend level as an agile team supporting a unified front-end and augmented by a strong Architect + Principal Engineer + Advisory Group for technical mentoring. This document outlines the problem statement and other aspects of the Educational Intelligence Platform.<\/p>\n
We want to build a highly scalable and low latency Educational Intelligence Platform, which can give actionable insights to students, teachers and parents to improve learning outcomes. Typically students’ success is measured by how well they score in exams. At Embibe, we have identified a large number of lateral attributes that can be categorised in two buckets, academic attributes and behavioural attributes. Each student has a story and the content context of that story lends every data query a different meaning. We want to be the education intelligence platform powering real time, conversational AI access to the state of global education. This starts with parents, our school partners and scales to governments.<\/p>\n
The platform will efficiently retrieve data processed with models designed around Embibe\u2019s proprietary IP.<\/p>\n
We envision a real-time and efficient Educational Intelligence Platform handling TBs of data with the lowest possible cost of ownership to process academic and behavioural attributes and events on a daily basis. This platform will be built with the latest world class technologies. We also endeavour to give back to the community by open sourcing our technology for the education community outside of Embibe.<\/p>\n
We are inspired by:<\/p>\n
| METRIC NAME<\/th>\n | UNIT<\/th>\n | FREQUENCY<\/th>\n<\/tr>\n |
|---|---|---|
| PROCESSING COST\/TB OF DATA<\/td>\n | USD<\/td>\n | Monthly<\/td>\n<\/tr>\n |
| 99 PERCENTILE LATENCY OF THE SERVICE LAYER<\/td>\n | MSECS<\/td>\n | Daily<\/td>\n<\/tr>\n |
| ERROR RATE (500\u2019s) AT THE SERVICE LAYERS<\/td>\n | Percentage<\/td>\n | Daily<\/td>\n<\/tr>\n |
| SERVICE UPTIME<\/td>\n | Percentile<\/td>\n | Monthly<\/td>\n<\/tr>\n |
| AVG TIME TO FIX THE P0\/P1 PRODUCTION ISSUE<\/td>\n | Hours<\/td>\n | Monthly<\/td>\n<\/tr>\n |
| AVG TIME TO FIRST RESPONSE ON THE P0 PRODUCTION ISSUES<\/td>\n | Minutes<\/td>\n | Monthly<\/td>\n<\/tr>\n |
| AVG TIME TO CLOSE ON THE RCA TASKS FOR P0\/P1 PRODUCTION ISSUES<\/td>\n | Days<\/td>\n | Quarterly<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\nL2 PROBLEMS OWNED<\/h4>\nWe believe in building an organisation at the intersection of domain modelling and problem intuition. While the L1 teams give us the flexibility to have a multi-faceted view of the problem and cluster similar problems together, the L2 structure ensures independent and focused problem-solving. The following L2 teams have been suggested for the L1 problem stated above:<\/p>\n
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