Predicting New Venture Sucess

If you are interested to predict success of new ventures, look at this article: https://amp-weforum-org.cdn.ampproject.org/c/amp.weforum.org/agenda/2017/07/computer-ai-machine-learning-predict-the-success-of-startups

Concept: Deep Learning and NLP for Personalized Sales Email Generation

Introduced by Yaron Oren, Founder & CEO of Maverick.ai. B2B Lead Generation is big business. Hundreds of billions of dollars are spent on it, yet generating high quality businesses leads remains every Sales & Marketing organization’s top challenge from small startups to large enterprises. We all get inbound email solicitations that are broad, unoriginal, and …

Concept: Blockchain based social currency to regulate social platform such as Twitter

Introduced by Sanjeev Verma, Blockchain and Mobile Security Architect at Samsung Electronics. Concept: To improve the quality of social media platform content, this project will utilize Blockchain based Social Currency to regulate social media platform such as Twitter.” Problem or Why?: Social media platforms are free for all platforms. It is a great media to share information …

Concept: Personal genomics hacking

Introduced by Patrick Chung, Partner at X-Fund. 23andMe has the world’s largest database of matched genotypes and phenotypes. What interesting insights can be gleaned from this data? Genome-wide association studies are obvious and are being done. But what society-shaking things can be done when we layer environmental data, medical records, and other third-party data on top …

Concept: The Holy Grail of Venture Capital

Introduced by Patrick Chung, Partner at X-Fund. Can we predict what startup founders will be successful? There is almost unlimited data about the backgrounds of successful company founders — and about unsuccessful company founders. Many VC firms have tried — and none have yet succeeded — to increase their batting averages in picking successful founders. Yet …

Concept: Predicting future outcomes based on historical records

Introduced by Pawel Gniewek, PhD student researcher at UC Berkeley. The benefits of predictive power are of a tremendous interest in our daily life - for example, when we try to make a decision about our career. To that end, I have obtained a publication record of the American Physical Society. The database contains the papers published in …

Concept: Multi-disciplinary data analysis of common psychological conditions

Introduced by Roberto Zicari, visiting Professor at UC Berkeley, Full Professor at J.W. Goethe University Frankfurt. Psychological mood disorders are often described as both social and medical phenomena. Recent studies in suicide prevention make connections between mood disorders and patterns in residential power use, logs of phone calls, and purchasing history, while older studies identify …

Concept: Visualizing investment opportunities in touristic regions (Open Data for Greece 1.0)

Introduced by Charalabidis Yannis, Associate Professor at University of the Aegean. A complete statistical database (more than 100 datasheets) can be made available for the islands of the Aegean. GDP ratios, Income per capita, Industry sectors revenue, information on tourists, spending habits, etc. The idea is to utilize a proper knowledge / data / graph visualization tool …