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Current ML techniques are business blind Causal AI opens novel ways in which experts and AI can communicate. In this paper, we illustrate two. By integrating expert knowledge and business context with the AI in a revolutionary new way, organizations can now solve very complex business challenges that are beyond current human-only or machine-only approaches. Read more at the white paper below
After three years of extremely hard work, today we announce the launch of the World's first #CausalAI platform. The current state of the art ML, incl. #AutoML, barely scratches the surface of what machines can do. Enough curve fitting and spurious correlations leading to questionable business success. Join the real AI revolution... #Causality #TimeSeries #DynamicSystems #AutonomousPredictions #AutonomousSignalTesting #RealTimePredictions #AI #PredictiveAnalytics #AutomatedMachineLearning #Alphatech #MachinePredictingTheEconomy #MachineLearning #DataAnalytics #DataSearching #Deeptech
ML predictions are overfitted and undermodelled. Put the science back into data science with #CausalAI
"Unlike conventional machine learning, Causal AI generates models that are significantly more accurate & inherently explainable" You can find our latest paper "Truly Explainable AI" below. Find out more & Request a Demo at www.causalens.com #ExplainableAI #Causality #CausalAI #AutoML #TimeSeries #DynamicSystems #AutonomousPredictions #AutonomousSignalTesting #RealTimePredictions #AI #PredictiveAnalytics #AutomatedMachineLearning #Alphatech #MachinePredictingTheEconomy #MachineLearning #DataAnalytics #DataSearching #Deeptech
Why Correlation-Based Machine Learning Leads to Bad Predictions
#MachineLearning fails when we need it the most #CausalAI has much higher accuracy and adapts 3 times faster in times of crisis like the Covid-19 pandemic. Find out how Causal AI outperforms during regimes shifts #Causality #CausalAI #AutoML #TimeSeries #DynamicSystems #AutoML #AutomatedMachineLearning
Almost all current machine learning approaches, including AutoML solutions, severely overfit on time-series problems and therefore fail to unlock the true potential of AI for the enterprise. causaLens was founded with the mission to pioneer Causal AI, which does not overfit, and so provides far more reliable and accurate predictions. We demonstrate the power of Causal AI in a commodity trading use-case. View the full paper to find out more. causaLens is building truly intelligent machines that go beyond current machine learning approaches - a curve-fitting exercise. Devising Causal AI has allowed us to teach machines cause and effect for the first time - a major step towards true AI.
CausaLens Best Deeptech in Finance.
CAUSALENS IN THE NEWS ⦁ Best Deeptech Company 2019 - Artificial Intelligence Awards ⦁ ‘Meet causaLens, a Predictive AI For Hedge Funds, Banks, Tech Companies’ – Yahoo Finance ⦁ ‘The U.K.’s Most Exciting AI Startups Race To Scale’ - Forbes ⦁ ‘Auto ML Platform Draws Interest from Discretionary Funds’ - machineByte ⦁ ‘AllianzGI Taps Virtual Data Scientists amid War for Talent’ - Financial Times ⦁ ‘Machine Learning Companies to watch in Europe’ - Forbes ⦁ ‘Best Investment in Deeptech’ award - UK Business Angels Association awards ⦁ ‘100 Most Disruptive UK Companies’ - Hotwire ⦁ ‘causaLens Appoints Hedge Fund Veteran and Data Leaders to Advisory Board’ - Newswire
CAUSALENS IN THE NEWS ⦁ Best Deeptech Company 2019 - Artificial Intelligence Awards ⦁ ‘Meet causaLens, a Predictive AI For Hedge Funds, Banks, Tech Companies’ – Yahoo Finance ⦁ ‘The U.K.’s Most Exciting AI Startups Race To Scale’ - Forbes ⦁ ‘Auto ML Platform Draws Interest from Discretionary Funds’ - machineByte ⦁ ‘AllianzGI Taps Virtual Data Scientists amid War for Talent’ - Financial Times ⦁ ‘Machine Learning Companies to watch in Europe’ - Forbes ⦁ ‘Best Investment in Deeptech’ award - UK Business Angels Association awards ⦁ ‘100 Most Disruptive UK Companies’ - Hotwire ⦁ ‘causaLens Appoints Hedge Fund Veteran and Data Leaders to Advisory Board’ - Newswire
