In the midst of the COVID outbreak, it is essential to map the extent and nature of person to person transmission. One potential tool that has proven potential is Social Network Analysis (SNA). Since its emergence in 1930 it has been used in multiple applications including analyzing corporate business partnerships, examining how ideas and information are transferred amongst a field of professionals and tracking and studying the transmission of communicable diseases. However the methodology seems to be underused. Foreigners in Sofia & Friends have generously provided us with a use case that can change that.
For the past two decades we have been witnessing a never seen before access to information on one hand and at the same time the volume of the information has been exponentially growing. The rule: 90% of all data has been created in the past 2 years is still standing. This has lead to information overloading and the rise of recommendation systems. Guiding the user in this pool of data has proven to be critical for business success as we can see from YouTube, Amazon, Netflix and many others. Net Info has prepared another challenge: The next best article.
In the past few years DeepMind’s Alpha projects, IBM DeepBlue and OpenAI Five have shown that we are reaching the point of matching and exceeding human performance in complex game environments where there is no silver bullet to achieve a goal. In the push to mimic human performance in games Imperia Online has prepared a case in the game of Baloot. Have you ever heard about Baloot? Sounds like Belote and actually is like Belote but a little bit different.
Business Overview News clustering based on semantic analysis can yield information on how actively different topics are discussed and if any kind of judgment takes place. Thus a valid representation of the “world views” can be achieved. Thin in turn fosters situation awareness among the public that is proving to be critical for crisis management […]
In the dawn of the digital age, everybody’s voice is empowered so it can be heard by everyone. However when everyone speaks their voice out regarding a subject, the situation awareness is drowned in a sea of personal views. This in turn makes it harder to make effective informative decisions due to vague situation awareness. One way to improve this is to cluster the information into “world views”. Net Info has shared news articles in light of developing a semantic cluster analysis algorithm.
One of the industries AI is making a big impact is the Logistics Industry. Recent Research shows that AI can enable companies to “…derive between $1.3trn and $2trn a year in economic value from using AI in supply chains…”. Following this spirit Kaufland has prepared hot data straight from their supply chain.
A geographic information system (GIS) is a computer system for capturing, storing, checking, and displaying data related to positions on Earth’s surface. By relating seemingly unrelated data, GIS can help individuals and organizations better understand spatial patterns and relationships.
Case Summary A Kaufland store is a very big thing. It has a sales floor of up to 12.000 square meters and provides more than 30.000 products. A lot of events can occur on our shelves that are likely to be overlooked. Items can get sold out, other items might be placed on the wrong […]
Monthly Challenge: https://www.datasciencesociety.net/events/text-mining-data-science-monthly-challenge/ Mentors’ Weekly Instructions: https://www.datasciencesociety.net/text-mining-data-science-monthly-challenge/ Real Business Problem Classification of companies into industry sectors is a fundamental task for unlocking advanced business intelligence capabilities. However different data sources rarely use the same classification system if any. This is a huge obstacle for taking advantage of the available details in Open Data and very niche commercial […]