Connected mobility – a melting pot of industries destined for success

#artificialintelligence

Connected mobility requires new technologies and a wealth of information, both of which are provided by various players. The results are cross-industry cooperation and promising opportunities for the future. At the #BCW16 in Berlin, industry leaders provided fascinating insights into the connected mobility market. Presenters from the BMW Group, Divergent 3D, Renault, iconmobile group, SBB Cargo, and Bosch Engineering proved that connected mobility is not a topic for car manufacturers alone. Instead, it involves a wide range of other players – from freight forwarders to electricity providers – who are setting up a dynamic and complex environment.


Industry 4.0 in Hannover Messe 2016 leads manufacturers to cross-industry innovations

#artificialintelligence

Back in Hannover Messe 2011, Germany announced the Industry 4.0 concept and initiated the world's fourth industrial revolution. Since then, Hannover Messe has become a focal point for Industry 4.0 innovations. As Hannover Messe 2016 closes in, the exhibition will once again be surrounded by various Industry 4.0-related hot topics such as integrated industry, smart manufacturing and more. Coming soon on April 25 to 29, Hannover Messe 2016 will be based on the theme "Integrated Industry – Discover Solutions", which aims to provide an interpretation of the smart manufacturing model of Industry 4.0. As a Taiwanese company with deep expertise in IoT automation, NEXCOM has planned four themed demonstrations that map out a complete solution blueprint for industry 4.0 in the upcoming event.


UK losing online extremism battle, research suggests

BBC News

Britain and other western countries are losing the battle against extremism online, research has suggested. Extremist content on search engines is becoming ever more dominant, the Centre on Religion and Geopolitics and firm Digitalis has found. The government's counter-radicalisation efforts appeared in only 5% of the content analysed, so high-risk keywords were going unchallenged, it found. The government said it had taken down 250,000 pieces of material since 2010. Home Secretary Amber Rudd said she wanted to tackle the issue "head-on".


Hiring a Chief Data Scientist

@machinelearnbot

A number of my mid-sized European clients recently have asked me to help them scope and recruit for the role of Chief Data Scientist (also scoped as'Head of Data Science', 'Lead Data Scientist', 'Head of Analytics', etc.). The company is looking to launch a new data science department, or The company has already tried to launch a data science department leveraging existing management and has realized the hard way the need to bring in fresh, specialized leadership. The company has already tried to launch a data science department leveraging existing management and has realized the hard way the need to bring in fresh, specialized leadership. It's often the case that the company preferred to recruit me personally for a permanent role, but we negotiate instead a consulting engagement where my company fills the lead role, plus several additional roles, on an interim basis. At the same time, we help them to find and hire permanent placements.


Data Science: A New Approach For Problem Solving and Business Strategy

#artificialintelligence

When it come to data, potentially huge amounts of data, a rigorous approach is key. We propose "CRISP-DM" which means a Cross-industry standard process for data mining. The methodology is, as the name indicates, cross-industry and flexible, allowing it to be applied to disparate use cases On top of the methodology we add our expertise: We offer predefined templates and deliverables for each phase of the data science process to increase productivity and alignment with business users If you are not totally sure Machine Learning could be a viable solution for your case, Techedge can provide a well-defined and designed assessment to help your decision makers bring clarity to the scenario, identify data availability and possible outcomes. When it come to data, potentially huge amounts of data, a rigorous approach is key. We propose "CRISP-DM" which means a Cross-industry standard process for data mining.