{"id":24153,"date":"2020-03-24T08:00:00","date_gmt":"2020-03-24T15:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=24153"},"modified":"2023-05-30T11:35:39","modified_gmt":"2023-05-30T18:35:39","slug":"ai-under-the-hood-causalens","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2020\/03\/24\/ai-under-the-hood-causalens\/","title":{"rendered":"AI Under the Hood: causaLens"},"content":{"rendered":"
\n
\"\"<\/figure><\/div>\n\n\n

In this regular insideBIGDATA feature we highlight our industry’s movers and shakers, companies that are pushing technology forward, and setting trends for innovation. We look at companies with a focus on big data, data science, machine learning, AI and deep learning – some new, some old, always leading, always dynamic. We also take deep dives into new technology promoted (or hyped) as “AI” or my favorite “AI-powered” to provide transparency for what’s really going on under the hood. Watch this column for intimate coverage of some pretty cool firms doing some pretty exciting things. Enjoy the ride! <\/p>\n\n\n\n

In this installment of “AI Under the Hood” I introduce causaLens<\/a>, a London-based deep tech company building a machine that predicts the global economy in real-time. The company’s Growth Analyst reached out to me on LinkedIn, and I liked what I learned from the materials I received. <\/p>\n\n\n\n

vision = global_economy.predict().optimize()<\/strong><\/p>\n\n\n\n

causaLens is a leader in causal AI research. Causality is a major step towards developing true AI. The company’s technology transforms organizations by autonomously discovering valuable insights that optimize business outcomes. The company’s flagship product, a Causality Infused AutoML for time-series, goes beyond both traditional machine learning and AutoML. It has become the industry standard in the financial sector and other industries. causaLens is run by top scientists and engineers, 70% holding a PhD in a quantitative field.  <\/p>\n\n\n\n

causaLens is an industry leader in time-series and causality. Their AutoML product specializes in time-series and became an industry standard in finance. Example use-cases include: autonomously discover and backtest predictive signals, automatically evaluate (alternative) data sets, and autonomously discover & productize predictive models and strategies.
All the company’s models are infused with causality that prevents spurious correlations and overfitting.
<\/p>\n\n\n\n

\n