Aqemia announced on October 19 that it had raised €30 million in a Series A financing round co-led by Eurazeo and Bpifrance via its Large Venture fund, with the participation of Elaia, its historical investor. The deeptech company, which specializes in the discovery of drug candidates, will be able to use this financing to develop its exclusive drug discovery platform and its portfolio of therapeutic assets, as well as to recruit. Maximilien Levesque, its co-founder, after post-doctorates in statistical physics and fluid mechanics at ENS Paris and the universities of Cambridge and Oxford, worked as a CNRS researcher at ENS. He developed a statistical algorithm inspired by quantum mechanics that could have applications in drug discovery and focused the work of his group on drug design. He joined forces with Emmanuelle Martiano, a strategy consulting engineer at the Boston Consulting Group who has worked for pharmaceutical and BtoB software companies, and the two of them created Aqemia in June 2019.

CoreLogic has announced an extended relationship with Google Cloud to support the launch of its new CoreLogic Discovery Platform. Built on Google Cloud's infrastructure, Discovery Platform provides a comprehensive property analytics environment and cloud-based data exchange for businesses across multiple sectors. CoreLogic launched Discovery Platform in June earlier this year, stating that the new product would enable businesses--including property and real estate technology (PropTech/ReTech), mortgage lenders, marketers, and insurance firms--to discover, integrate, analyse, and model property insights to make critical business decisions faster. The multi-year relationship between CoreLogic and Google Cloud enables the development of a scalable platform built with several Google Cloud services including Dataproc, BigQuery, Anthos and Cloud Run to manage the data science workloads for predictive and prescriptive analytics. BigQuery is the petabyte-scale backend for the platform, enabling comprehensive property data views built from a wide array of CoreLogic and third-party data sets.

As someone who has spent 13 years in the weeds of data, I witnessed the rise of the "data-driven" trend first hand. Before starting and selling my first data startup, I spent time as a statistical analyst building sales forecasting models in R, a software engineer creating data transformation jobs, and a product manager running A/B tests and analyzing user behaviors. What all these roles had in common was that they gave me an understanding that the context of data -- what it represents, how it was generated, when it was updated last, and the ways it could be joined with other datasets -- is essential to maximizing the data's potential and driving successful outcomes. However, accessing and understanding the context of data is quite difficult. This is because the context of data is often tribal knowledge, meaning it lives only in the brains of the engineers or analysts who have worked with it recently.

Cutting-edge medical research is the talk of the town at the moment and this innovative discovery platform are growing their presents within the medical research field. AI and Machine Learning is at the full front of what they do and they're looking for an experienced (academic or commercial) Machine Learning Engineer to support their continued growth. You'll be working on architecting the AI powered GCP discovery platform, taking on big problems and doing lots of research! This vacancy will be closing application on 15th August 2020. If you have any questions or fancy a chat about the opportunity feel free to give George Bone a call or apply for the advert and George will be in contact.

Gone are the days when people had to depend on the traditional media for news; now they are bombarded with news by huge number of online media outlets on the internet. So much that it's an information overload for the average person who has limited time to catch up on the news and stories. Social media now acts as a medium for news and it even makes the experience better for the users by customizing the feed to suit their reading habits. However, this massive proliferation of social media and web publishing comes with its own downsides. The widespread availability of easy-to-use content management systems such as WordPress has made it easier for anyone to be a web publisher.