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The game features a mix of role-playing and tactical elements, and is centered around controlling a mothership and small armada of ships in real-time using the mouse in a manner very similar to Homeworld. Ships are piloted by characters whose skills advance as the game progresses. The player is able to select from a number of skill specializations for each character, making each character unique. Players can likewise customize each ship's armament and purchase new equipment on the open and black markets. At various times in the game, new characters will join the player's party so that the team becomes larger and more diverse.
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One of my companies, BrowserGames.de, was acquired by the European mass media company ProSiebenSat.1 Media SE. From there, I also developed three additional ventures that were also funded by ProSiebenSat.1. Following that, I co-founded AdEx, one of the leading decentralized DSPs.
Today, Ad Tech companies such as WeQ need to process incredibly vast amounts of data, and in order to do this, we hired big data science experts and developed our own proprietary algorithms to power our network.
Machine Learning is the foundation for Artificial Intelligence, and this is how we have prepared at WeQ to integrate AI into our platform. We have built Machine Learning processes for our media buying and implemented strong fraud-detection solutions in the advertising campaigns we are running, and are leveraging this framework to feed into our AI system.
As organizations now need to encourage cross-channel marketing, there is more emphasis placed on brand safety than ever before. At WeQ, we process several hundred billion data points from our partners. Based on the learnings from these statistics WeQ Technology can make informed decisions to protect our customers. We work exclusively with premium advertising inventory and offer our customers full transparency, by giving them access to the various advertising placements up to the individual publisher level.
Our WeQ SHIELD fraud detection solution is based on AI technology, which unlike other manual or statically automated systems in the market today, uses Machine Learning to constantly adapt our mechanisms for detecting suspicious behavior.
We use Machine Learning to comb through hundreds of millions of events and data points daily such as installs, post install events, traffic distribution, and device and the operational system variations. This builds a knowledge base that helps predict and take action against any malicious behavior.
Local communities are the winners of the mobile evolution, as we now see areas with a poor internet connection being able to access the world via their smartphones. If we talk about business in those areas, then we have to predict what their digital learning curve would look like: If they got into the internet recently, they are more likely to use Facebook to access content on the internet.
At WeQ, our technology and the performance marketing capabilities can adapt to those different behavioral patterns and serve the best advertisers to the needs of each user, wherever they are.
Emerging technologies that were exploratory in 2018 will take center stage in 2019 and into 2020, including blockchain, which is helping to create a new model that uses a cryptography-encrypted pipeline to ensure that target audiences actually get the ads that are delivered.
Blockchain is expected to address transparency, reduce fraudulent attacks and address flaws in the OpenRTB system. Additionally, I believe that the development of more advanced AI- and Machine Learning-based ad fraud detection systems will come in 2019 as well.
Passionate about working with and coaching fellow entrepreneurs, he is a mentor at the Founders Institute and Sven Lubek also sits on the Board of Directors of ProvenExpert, an online platform for qualified customer feedback and review aggregation in the DACH region.
A former Chairman of WeQ, in his role as Managing Director at WeQ, Sven Lubek applies his leadership experience to help shape and drive top-notch strategies, innovation and processes revolving around growth.
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Max Bruch: Scottish Fantasy, Op. 46, Jascha Horenstein (conductor), David Oistrakh (violin), The London Symphony Orchestra (Reel A)/Paul Hindemith: Violin Concerto (1939), Paul Hindemith (conductor), David Oistrakh (violin), The London Symphony Orchestra (Reel B); Producer: Erik Smith; Recording engineer: Kenneth Wilkinson; Recorded at Kingsway Hall, London, October 1962; Original release: Decca SXL 6035. The Tape Project TP-006.
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