Infinite Lambda

The COVID-19 crisis created an unprecedented challenge to the education sector but also accelerated the revolution that was already taking place in edtech. At Infinite Lambda, we had the privilege of playing a part in this global challenge through our work with one of our US partners, Innive Inc, an edtech organisation on a mission to transform education. Last year, schools had to rapidly adjust to life online. They had to manage vast amounts of data, including the classes a school offers, the teachers, the students, the lessons, the dates of terms and the syllabi that all required integration. Automated and personalised BI tools at the front end became essential for governments, school districts, teachers and individual students. Working closely with our partner, we created a blueprint for an integrated learning platform. Our solution allowed for comparison across students, teachers, schools and districts of how their remote learning programmes were going. Even if different schools were using different technologies to deliver the teaching, it enabled platform-agnostic engagement and performance metrics. Whilst the pandemic devastated the learning opportunities for many young people, this project helped give millions of children access to high quality education. It provided teachers and school districts with the ability to learn more about each child and curate their learning experiences accordingly.

We partnered with The Halo Trust, a non-government organisation that helps to remove landmines and explosives left behind by war. One of Halo's projects focused on seeking out evidence of uncontrolled small arms and light weapons (SALWs) within crisis zones and security challenged areas. They used a manual process that involved searching a wide variety of sources online, a process that produced high quality incident reports but was limited in its scalability. With a team of data engineers and data scientists, we began to explore ways to extract real-time information from multiple news and social media sources. We created a tool that allows the user to search multiple sources with multiple search terms and geographies relevant to SALWs. We then developed machine learning algorithms to further enhance the accuracy, ensuring only the most relevant information is presented. This was a complete data project. On one hand, it had the intricacies of data ingestion focusing on scalability. On the other hand, it involved very sophisticated AI work, solving the different text length categorisation challenge. Using DevOps principles and the best cloud engineering practices, combined with Google Cloud nuances, we created the right formula here.