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This article was originally published on .cult by Louis Minvielle. .cult is a Berlin-based community platform for developers. We write about all things career-related, make original documentaries, and share heaps of other untold developer stories from around the world. If you remember our past investigations and analyses, you might remember a curious postulate we put forward: even though their talents are in high demand, it might still be hard for data scientists, developers, and data engineers to know their worth. It’s almost like a brain-teaser: jobs requiring their aptitudes are expected to grow exponentially in the next three years, and…
This article was originally published on .cult by Michiel Mulders. .cult is a Berlin-based community platform for developers. We write about all things career-related, make original documentaries, and share heaps of other untold developer stories from around the world. So you’ve spotted an eye-catching crypto project, but you’re wondering if it’s safe to actually take the leap and invest? Analyzing crypto projects for investment purposes is an actual skill. You can compare it with fundamental or technical analysis on the stock market. Often, we come across a shiny new crypto project that tries to draw your attention. But isn’t it too…
This article is part of our coverage of the latest in AI research. Large language models like GPT-3 have advanced to the point that it has become difficult to measure the limits of their capabilities. When you have a very large neural network that can generate articles, write software code, and engage in conversations about sentience and life, you should expect it to be able to reason about tasks and plan as a human does, right? Wrong. A study by researchers at Arizona State University, Tempe, shows that when it comes to planning and thinking methodically, LLMs perform very poorly,…
Monday 1 August - Octopus closes $550 million round, OneWeb and Eutelsat announce a $3.4 billion merger and €1.9 billion was invested in European Tech last week
Last week we tracked more than 80 tech funding deals worth over €1.9 billion, and over 10 exits, M&A transactions, rumours, and related news stories across Europe.
The new cash infusion will drive the startup’s R&D and product growth. Going forward, the company will boost its AI geospatial analytics and extend its customer acquisition in the U.K. and Europe.
Increased demand for real-estate assets and significant shifts in the commercial real estate market are making it harder for property firms, funds and landlords to generate Alpha returns. At the same time, there exists a severe lack of data transparency in the commercial property sector.
The deeptech company is developing AI inference technology that delivers radical transparency to the commercial real estate market in order to inform better, quicker investment decisions by players in the market. Built AI claims its platform can improve players’ information about new markets and broader consumer trends that would unlock hefty returns on future deals.
The startup’s proprietary algorithms can create granular ‘street level’ insights on any property and location from sparsely-populated and disparate datasets that are pervasive in the industry.
Talking about how the company wants to create a ‘live’ digital snapshot of the country’s real estate assets that can be used to virtually model investment scenarios across entire portfolios, Firoz Noordeen, co-founder of Built AI, said: “Until now, analysing the returns of potential commercial real estate deals has been flawed due to the lack of transparent data available. With the help of this new investment, we can bring the real estate industry into the Google/Deepmind age, using sophisticated machine learning capabilities to fundamentally alter how property investments are evaluated and boost the rate of alpha returns.”
Andrei Dvornic, principal at MMC Ventures added: “MMC is thrilled to be partnering with BuiltAI in its quest to apply machine learning to enable unprecedented levels of transparency in the real estate market. The team is building category-defining real estate data infrastructure, transforming sparse data sets into granular, precise insights supercharging both transactions and asset management.”
BuiltAI already works with the likes of Deutsche Finance International, the owners of London Olympia and Europi Property Group.
