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Enjoy a workplace in the heart of Kreuzberg. Airbus Hamburg, Germany. Airbus Operations GmbH Airbus is a global leader in aeronautics, space and related services. Airbus offers the most comprehensive range of passenger airliners. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as one of the world's leading space companies. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide. Our people work with passion and make the world a more connected, safer and smarter place. Taking pride in our work, we draw on each other's expertise and experience to achieve excellence.

Our diversity and teamwork culture on the ground, in the sky and in space. Then apply now! Where's the data is analyzed and used to provide predictive maintenance algorithms to improve their daily operations. This job requires a commitment to integrity, as the foundation for the company's success, reputation and sustainable growth. By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes. This information only wants to be used by Airbus.

Airbus is committed to achieving workforce diversity and creating an inclusive working environment. Irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. UniCredit Bank Munich, Germany. We offer our employees professional development all over Europe. UniCredit has been certified as a European Top Employer returning year-for-yearconsistently high employee engagement. The requirements of both are and are to be understood.

This position is intended to be used as an approach to data management. That's what you can expect from us. What you can do with us as you work as a key role in the team responsible for building out the advanced analytics lab within the bank Management of the solutions implemented in the Advanced Analytics Lab. You are assisting in the implementation of the Big Data-based solutions using the Palantir data management platform. You want to be responsible for executing the governance framework for big data-based solutions, in order to make more efficient opportunities for data analysis and data lifecycle management within the platform.

The CDO responsibilities within the Advanced Analytics Lab solutions and could be required to present and present the results to your internal stakeholders. Data Engineer.


Alldus Berlin, Germany. Thesis wants to be your tasks Your role is to: Build and maintain a robust and scalable cloud-based data processing solution. Build a data pipelines to extract data from multiple sources.

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Help your cross functional agile team to build new features and deploy them. Work in a micro-services and event-driven architecture. Data Engineer AWS technologies, to support programmatic advertising and analytics initiatives. As part of the Data Engineering team, you'll help build the platform to enable data-driven decisions.

Providing technical support for all database environments. Design, build and maintain resilient data pipelines from a variety of data sources Development and organization of all databases. Assessment and implementation of new technologies for the database layer. Collaborate with data science and stakeholders across the organization to raise the bar for best practice and management Providing long-term perspective on the relationship of the selected database technology to business opportunities.

Set up, configure and maintain proper infrastructure to support a large scale data analytics environment. Take a pragmatic approach to development through understanding and making well-reasoned technical decisions and tradeoffs. Data Scientist Data Science is the heart and core of our company. Algorithms and models are the foundation upon which our products are built, with data driving our keys, testing and growth. At Perengo TMP , we are developing state-of-the-art large-scale recruitment advertising and machine learning applications.

We are looking for talented scientists to support you. In this role you will work with other data scientists, engineers, and product managers on high impact initiatives. Why Join Us? The company culture and engineering vision A chance to build something revolutionary The market is ripe for disruption and there's no doubt that whoever cracks the puzzle wants to win the market.

This is also a rare opportunity for you to build a large-scale platform that is positively impacted by instead of, say, boring old enterprise software that few people touch!

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We are revolutionizing Customer Service with Artificial Intelligence. Speed, passion and drive are the basis of our DNA. We put our customers at the center of everything we do, and we never stop until the job is done. We are creating our own path, with a global and diverse team driving long-term growth and innovation. We do not like "not possible". We like new ideas, open mindness, honesty and we always bring an element into our work.

Join our team and be ready to change the world with us. We are one of the leading companies in Artificial Intelligence, providing our services to the world's most innovative companies. With our expert team of application developers and scientists, we work closely with our customers to create state-of-the-art technology. Become part of our fast-paced environment and join our team building the most innovative and revolutionary technology in the market. Brighter AI Berlin, Germany. At Brighter AI, we are working to protect individuals through technological progress. With our innovative anonymization approach using deep neural networks, we are already on the way to solve the 'data privacy.

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  • Our Deep Natural Anonymization technology utilizes state-of-the-art AI, embedded in a high performance stream processing pipeline to generate artificial faces and license plates. Anonymization of this kind not only allows for compliant data handling, but also enables work to be done without constraints to extract customer insights and build new models.

    As part of the team, your role will be vital to the success of the startup, mainly through working alongside a diverse team of engineers, developers, and researchers in: Designing and developing software solutions based on our deep learning models Continuously collaborating with people on the business side and deep learning researchers while delivering deliverable solutions Working in a rapid prototyping area where the ability to pivot is a must.

    Our team is an amazing mix of cultures, degrees, hobbies and interests. We are passionate about data, privacy, artificial intelligence and engineering.

    e-book Competitive Intelligence - Einsatz, Chancen und Risiken (German Edition)

    If you're looking for a headset, then this is your place! Let's have a conversation today about how you would fit in our team! This presentation will describes several Patent Analysis Softwares available in the market and discuss the difference between their characteristics. This comparison will be based on a framework that has been built with a group of Intellectual property experts.

    Therefore, each tool will be compared against the features and characteristics demanded from practitioners. It will be analyzed the real demands of practitioners in terms of use and importance of Patent Analysis Software characteristics. Audience objectives: 1.

    Discussion Papers

    Define which Patent Analysis Software is most suitable for your organization needs 2. Understand the main differences between different Patent analysis softwares. Learn the framework which is able to identify and compare features between Patent Analysis Software. Manuel C.

    Duke University Law School. Wichtigster Produktionsfaktor der heutigen Hypercompetition ist Information. Information wird beschafft, analysiert und offensiv oder defensiv eingesetzt. Beispiele: Was ist Open Source? Vortrag in Deutsch Competitive Intelligence in Osteuropa - was ist da anders? Benchmarking Studien und strategische Positionsberichte erstellt. Vortrag in Englisch Encompass the implementation of Marketing Intelligence Office in Telekom Slovenije The amount of information and variety of different sources is rapidly rising.

    The data are not always complete and quite often contradictory which raises the level of uncertainty and therefore the need for holistic understanding of the market and the need to understand what the data truly mean. It is vital to put the data into holistic information system, congruent with other available data within the company.

    Today it is critical to give away not data but knowledge, to give away not information but intelligence and put intelligence into action whenever possible. Davor war Dr. Zuvor war Herr Dr. Vortrag in Deutsch P.