Our Mission
To provide a revolutionary A.I. SaaS which aggregates data, automate its analysis and impacts positively any business every day
To provide a revolutionary A.I. SaaS which aggregates data, automate its analysis and impacts positively any business every day
Our Vision
Data-Driven decision-making smart and accessible to any company, institution and individual
Data-Driven decision-making smart and accessible to any company, institution and individual
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QA is built on a network of data scientists and academics connected by the common passion for data exploring.
We are committed to providing you actionable data intelligence for predicting the future, understanding the present and managing risk.
Our quick algorithms will free you from repetitive tasks, give you better information and ultimately improve your decision making.
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Why Quick Algorithm
"...I was looking for the company name, but the first one that I liked, already had it's internet domain taken. You know, nowadays having the internet domain is more important than registering the logo or the name itself. So I've compiled a list of other names I liked, and again, all the domains were taken. After coming up with new names and checking their domain availability without success, I've said to myself: "I need a Quick Algorithm that generates company names and checks the internet domain availability." That was it! By far this has been the Quickest Algorithm I have ever written. By only thinking about it, it returned me the result: "Quick Algorithm." After all, it's what we do!" Jacopo Piana Ph.D. - Founder
About the Founder
Jacopo Piana is founder of Quick Algorithm Analytics and Adjunct Professor in Quantitative Methods at the University of Geneva. Broadly, Jacopo's research focuses on unsupervised Machine Learning for noise filtering and Supervised Learning for time-series forecasting and Artificial Intelligence. Beyond Machine Learning applications for Artificial Intelligence, his research interests span, Empirical Asset Pricing, Risk Management and Price Expectations Formation with Bounded Rationality.
Besides his entrepreneurial activity in the field of Artificial Intelligence and Analytics, Jacopo has participated at international conferences and actively offers mentorship and consultancy to companies and C-levels who want to move their company to the Data-Driven economy.
He also served as Board Member of London’s Alumni Bocconi Association chapter, which gathers hundreds of finance professionals. As a student, he entered the final round of the World Econometrics Game, Amsterdam 2010.
Jacopo earned his Ph.D. and a M.Res. in Empirical Asset Pricing from the Cass Business School, London, a diploma in Artificial Intelligence from MIT, an M.A. in Finance and Commodity trading from the University of Geneva, an M.Sc. and a B.Sc. in Quantitative Economics from Bocconi University in Milan. He has also been a visiting scholar at the Wharton School, University of Pennsylvania.
Besides his entrepreneurial activity in the field of Artificial Intelligence and Analytics, Jacopo has participated at international conferences and actively offers mentorship and consultancy to companies and C-levels who want to move their company to the Data-Driven economy.
He also served as Board Member of London’s Alumni Bocconi Association chapter, which gathers hundreds of finance professionals. As a student, he entered the final round of the World Econometrics Game, Amsterdam 2010.
Jacopo earned his Ph.D. and a M.Res. in Empirical Asset Pricing from the Cass Business School, London, a diploma in Artificial Intelligence from MIT, an M.A. in Finance and Commodity trading from the University of Geneva, an M.Sc. and a B.Sc. in Quantitative Economics from Bocconi University in Milan. He has also been a visiting scholar at the Wharton School, University of Pennsylvania.
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