Ontotext case – Team _A

The objective of our task is extract parent-subsidiary relationship in text. For example, a news from techcruch says this, ‘Remember those rumors a few weeks ago that Google was looking to acquire the plug-and-play security camera company, Dropcam? Yep. It just happened.’. Now from this sentence we can infer that Dropcam is a subsidiary of Google. But there are million of companies and several million articles talking about them. A Human being can be tired of doing even 10! Trust me 😉 We have developed some cool Machine learning models spanning from classical algorithms to Deep Neural network do this for you. There is a bonus! We just do not give you probabilities. We also give out that sentences that triggered the algorithm to make the inference!  For instance when it says Orcale Corp is the parent of  Microsys it can also return that the sentence in its corpus ‘Oracle Corp’s  Microsys customer support portal was seen communicating with a server’, triggered its prediction.

Datathon Kaufland Solution – Predictive Maintenance Based on Sensor Data for Forklifts

Kaufland-Case 1. Business Understanding Industrial vibration analysis is a measurement tool used to identify, predict, and prevent failures. Implementing vibration analysis on […]

Cryptocurrencies forecasting

Cryptocurrencies are a type of digital currencies that, since their creation, have become a global phenomenon known to most people. Our job is to build a machine learning algorithm able to forecast their price based on a set of given features such as that currency’s price, market cap, circulating supply etc.

DNA Case team Backstabbers

We developed workflow utilizing Blast and Centrifuge toolkits, that is able to provide precise metagenomics information about food composition, from comparing DNA reads with reference genomes of various species. Our workflow is optimized to work on Google Cloud instance (Compute Engine) with 24 CPUs and 200 GB of RAM.

Datathon2020 – Optimize Retail Supply Chain case – provided by Kaufland

Artificial Intelligence (AI) is making huge impact in the Logistics Industry. Recent research shows that AI will enable companies to “…derive between $1.3trn and $2trn a year in economic value from using AI in supply chain…”.
Following this spirit Kaufland has prepared a hot case straight out of their Supply Chain Management systems.