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 causalen


How to use AI to discover the causes behind customer actions

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Marketers use any number of data points to inform the recommendations they make to customers. But do they really know the causes behind why customers prefer one product or message over another? One way to find out is using AI to analyze more data from the entire customer journey, instead of depending on limited results from specific A/B tests. "The ability to understand the true drivers behind customer behavior across the journey is transformative," said Zubair Magrey, GM, marketing for U.K.-based decision-making software company causaLens at The MarTech Conference. That's because the data alone doesn't provide a full picture.


Senior Full Stack Engineer - MLOps

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We build Causal AI-powered products that are trusted by leading organisations across a wide range of industries. Our Causal AI Platform empowers all types of users to make superior decisions through intuitive user interfaces and APIs that adapt to their level of technical expertise. We are creating a world in which humans can trust machines with the greatest challenges in the economy, society, and healthcare. We are looking for motivated and high-achieving Senior Fullstack Software Engineers focusing on bringing causality, explainability and accountability to MLOps as a first on-the-ground engineering member of our CausalOps team, joining product and data scientists. We are a mission-driven, interdisciplinary team with an inclusive culture building technology that improves our world.


🇬🇧 Machine learning job: Software Engineer - Machine Learning at causaLens (London, United Kingdom)

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Software Engineer - Machine Learning at causaLens United Kingdom › London (Posted Mar 2 2022) About the company Current machine learning approaches have severe limitations when applied to real world business problems and fail to unlock the true potential of AI for the enterprise. Our enterprise platform goes beyond predictions and provides causal insights and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, insurance, logistics, retail, utilities, energy, telecommunications and many others. Job description causaLens are the pioneers of Causal AI -- a giant leap in machine intelligence. We build Causal AI-powered products that are trusted by leading organizations across a wide range of industries. Our No-Code Causal AI Platform empowers all types of users to make superior decisions through an intuitive user interface.


Lead Data Scientist - Investment Management

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We are looking for an exceptional and ambitious Senior Data Scientist to help our team of world class engineers, data scientists and commercial executives develop our Causal AI platform. You'll wear many hats, serving as the domain and data science expert for our solutions in Investment Management. We offer an intellectually stimulating environment, working in an interdisciplinary team and an inclusive culture. We are a high-calibre, mission-driven team building technology that improves our world. This is an exciting role for a smart, creative person with a strong technical background and desire to apply his/her skills in a stimulating scientific environment.


Why Causal AI - causaLens

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We believe that teaching machines to understand cause and effect will unlock the true power that AI has to offer, transforming business efficiency and providing unimaginable benefits to the world. This is a formidable task. As such, we are committed to building the world's largest Causal AI research lab to succeed in this effort.


Can AI be Fair? - Causalens

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Algorithmic bias leads to further discrimination against already disadvantaged groups. The problem goes to the foundations of conventional machine learning, which assumes that the future will be very similar to the past -- even though the past is replete with racism and sexism. Causal AI rejects this assumption, and provides some of the most promising approaches to de-biasing algorithms.


15 Machine Learning Companies To Watch In Europe

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Aiden.ai - Founded in 2016, Aiden.ai is an AI powered virtual marketing analyst to enable mobile app marketers to focus on what matters most. Aiden has raised a total of $2.4m to date over 2 rounds. The latest funding came from a Seed round announced in November 2018, led by Partech along with angels Sophia Bendz and Nicolas Pinto. The company was co-founded by CEO Marie Outtier, who has 8 years of ad tech startup experience, and CTO PJ Camillieri, who previously spent 10 years at Apple. Auquan - Recently graduated from Techstars London, Auquan is a platform to crowdsource data-driven trading strategies from a community of data scientists, developers, and machine learning engineers.


15 Machine Learning Companies To Watch In Europe

#artificialintelligence

Aiden - Founded in 2016, Aiden is an AI powered virtual marketing analyst to enable mobile app marketers to focus on what matters most. Aiden uses machine reading to analyse campaign data and offers one-click optimisation to proactively make changes to improve ROI and streamline reporting. Aiden has raised a total of $2.4m to date over 2 rounds. The latest funding came from a Seed round announced in November 2018, led by Partech along with angels Sophia Bendz and Nicolas Pinto. The company was co-founded by CEO Marie Outtier, who has 8 years of ad tech startup experience, and CTO PJ Camillieri, who previously spent 10 years at Apple.