Using weather and climate data to help make better decisions by James Burn “And now the weather…” Statistics and data science have always been important parts of meteorology. Weather observations come in many different forms and combining these complex sets of data to build climate datasets and feed global weather models presents many data science […]
Building the AI city by Enrique Munoz de Cote Smart cites operate under a more resource-efficient paradigm than regular cities do, and one of the major drivers of such a paradigm shift is AI: the technology that can interpret and make sense of vast amounts of data of all kinds (tabular, images and video, audio, […]
How to effectively integrate data science into organisations by Karen Jean-Francois In the last 10 years, Data Science spread at light speed, becoming one of the most desirable career paths of our times. Organisations have been paying eye-watering salaries to attract top talent, yet, few have been able to fully integrate data analytics in a way […]
Speeding up Big Data & ML in Python & Pandas with Dask by Tom Ewing An introduction to Dask, a pandas-based Python framework for parallel processing and big data that scales from your laptop all the way up to cloud hyper-clusters! Link to code: https://github.com/Tommo565/dask-presentation
Using data science for social good by Antonio Campello Despite providing essential services, the social sector isn’t yet making full use of data science to shape its services and maximise its impact. DataKind UK exists to support charities to do just that. We exist to build the capacity of the sector to use data science, […]
AI and the Future of Personalized Health Care by Roushanak Rahmat Different patients respond differently to the same treatment, which could be linked to how different bodies process the same medication. AI is transforming the healthcare journey by accelerating the evolution of personalized healthcare. Personalized medicine with AI is the use of machine learning models […]
The Science of Knowledge Equity – Research at Wikimedia by Miriam Redi Knowledge equity is a foundational principle of the Wikimedia movement. It drives efforts to break down the social, political, and technical barriers preventing people from accessing free knowledge. In this talk, we will see how computer vision and natural language processing can support […]
Real time data science with Quix by Javier Blanco Cordero & Patrick Mira This presentation offers developers, data engineers and data scientists the opportunity to learn about streaming data, real-time analytics and real-time visualization. We’ll build a python service that collects data from a heart rate monitor, transforms it in streams, and sends alerts to […]
Tracing your data’s DNA by James Bowkett, OpenCredo As data becomes ubiquitous and deeply interconnected, tracing where, who or which system that data comes from – its lineage – will create bigger problems and opportunities for us on the horizon: How can we trust this document/row of data? what is its lineage? where did it […]