Wearable Data Hack 2015 – Official Announcement

Wearable Data Hack 2015 – Official Announcement

Wearable Data Hack 2015 – Official Announcement Munich, 19 June 2015 – On the weekend of June, 19-21, Stylight, Datarella and Macromedia University proudly present the first hack day on wearable tech applications, data and design – the Wearable Data Hack 2015. the Wearable Data Hack 2015 will be the first occasion for most of the participants to share their views and ideas and jointly gather experience with the new data realm. Apple calls the Apple Watch “Our most personal device ever”. And with good cause: The data from wearable tech, smartphones and smartwatches are really the most personal data ever. Our mobile devices accompany every step we take, every move we make. A plentitude of sensors on the devices draw multidimensional pictures of our daily lives. Applications of wearable data range from fitness to retail, from automotive to health. There is hardly an industry that cannot make direct use of it. And yet, wearable apps are still in their childhood. Telling the stories of people’s lives Wearable data is not an end in itself. Data is the raw material of our behavior. After data has been collected it has to be analyzed. There are algorithms which define the semi-finished […]

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Telling the story of people’s lives – Strata+Hadoop, Feb 15, San Jose

We can draw a colorful picture of people’s everyday lives from the data we collect via smartphones. To tell the data-story, we need to translate the raw measurements into meaningful events, like “driving a car”, “strolling in a mall”, or even more intimate, like “being nervous”. We will show how to access the phone’s data, how to derive complex events from the phone’s raw data, and how to bring it into a meaningful story, and how to make it work for businesses. Cases we’ll show: an app for the automotive industry to support ecological driving, learning about preferences of Chinese passengers at an international airport, and supporting people suffering from osteoporosis to stabelize their condition and maintain mobility. More on Strata+Hadoop  

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Our Flipboard on Wearable Tech is now on the Web, too.

Our Flipboard on Wearable Tech is now on the Web, too.

Great news! Flipboard has made its service available on the web. You can now browse our curated news on wearable tech, smartwatches, The Quantified Self, and the Internet of Things in your browser, too: flipboard.com/qs-socially-relevant-technology

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Datarella Wins Bits&Pretzels Startup Pitch

Datarella Wins Bits&Pretzels Startup Pitch

We’re excited to have won the startup pitch at Germany’s biggest startup conference – Bits&Pretzels! We’re still partying – therefore please don’t try to contact us during the next days 😉 Your Team Datarella

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Our Flipboard Magazine on Wearable Tech and Quantified Self

Our Flipboard Magazine on Wearable Tech and Quantified Self

So many things about wearable tech, self tracking, and the Quantified Self! So we started to put everything we read into a Flipboard Magazine to share with everyone. View my Flipboard Magazine. Looking forward to your comments!

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The social relevance of the explore app guides  – The Datarella Interview

The social relevance of the explore app guides – The Datarella Interview

Today, we speak with Michael Reuter (KMR), Co-founder of Datarella, about the social relevance of the explore app guides. Q At Datarella, you offer different programs your users can participate in. Can you elaborate on the meaning behind these programs? KMR With our explore app, we provide a useful free tool for smartphone users to optimize their lives. There is a broad range of specific life situations in which the explore programs provide valuable and sustainable benefits. From lifestyle oriented programs as SMILE!, our guide to learn how to smile in 5 days, to specific health programs as our OsteoGuide which supports users suffering from Osteoporosis – we provide a broad range of programs. The most important aspect for Datarella is to always provide real benefits to our users: it’s not about technology, it’s about the social relevance of technology, its immediate impact on the user. Q Could you describe one of those programs and its impacts on your users in more detail? KMR Sure! Let’s take the OsteoGuide: in countries with populations with median ages of 45 and older, Osteoporosis has become a widespread disease. People suffer from Vitamin D shortage, move less and less during the day and, as a […]

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Want to be happy? SMILE!

Want to be happy? SMILE!

What unites poets, philosophers, psychologists, neurologists and economists? They all are interested in what makes us happy. Sure, they have their distinct perspectives: one is interested in people’s feelings, the other wants to know what people value and the latter is interested in how people’s brains respond to rewards. Even governments try to measure and increase the happiness of their citizens. Measuring happiness is easier than you might think. First, we can ask people how they feel and have them rate that feeling on a scale. That’s what we do with our explore app day by day. Second, we can use MRI to measure blood flow in the brain, or EMG to evaluate and record the electrical activity produced by our skeletal „smile“ muscles in the face. Very often, the results of the easy survey and those of the biomechanic treatments are highly correlated – that’s why we’re pretty content with our explore interaction results. Then, there is this difference between synthetic happiness and real, or natural, happiness. We produce synthetic happiness when we don’t get what we want. The reason: things have less impact on happiness than we expect them to have. It seems that most experiences – bad and […]

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Why Quantified Self Is The Next Big Thing

Why Quantified Self Is The Next Big Thing

During the weekend of May 10-12, 250 students, scientists, artists, venture capitalists and entrepreneurs gathered at the Quantified Self Conference #qseu14 in Amsterdam, the fifth conference of its kind and the second one taking place in Europe. First timers, not being familiar with the concept of QS, got used to it pretty quickly and absorbed the essential aspects easily, as some of them told me during the breaks. For me, it was a great experience and I learned even more than during #qseu13: the program was even more dense with most session descriptions reading so promising that selecting the „best ones“ became quite tough. A nice location (the Casa 400) and a oerfect organisation (you won’t find a that kind of catering at other conferences) by Marcia and her team made the #qseu14 a real treat. The Next Big Thing And yet, this great experience is not the reason for this post. I think that the Quantified Self marks the beginning of the biggest societal shift since the Industrial Revolution. Or, to tone it a little bit down and to limit the claim to the more mundane area of economics: QS is the Next Big Thing. QS is the redistribution […]

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Datarella – Lessons Learned: Hire Slow – Fire Fast

Datarella – Lessons Learned: Hire Slow – Fire Fast

A lot of entrepreneurs hire fast and fire slow. In particular when new coders are required to develop a software. A bias towards speed and quick growth drives many leaders to be quick to hire new personnel and strategic cooperation partners. Hiring fast is absolutely fine as long as everything works out well. The problem is, many people do not react quick enough when they figure out problems and significant quality issues with the people they cooperate with. Datarella decided to hire a German-based software development team for the programming of the prototype app including a backend system. The team had good references and offered us their service at an attractive price. The introductory meeting was very promising. It was clear to hire them quickly. Over the course of time, we figured out that the development team lost one of their key persons, who supported us on our project. As a result, they stopped hitting the pre-defined milestones and started to deliver poor quality. Firstly, we asked them to take care of the problems they obviously had within their team. Secondly, we put them under pressure to deliver in time. However, our development partner was not able to improve his […]

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How Big Data Changes Marketing

About 0.5% of big data collected is actually being analyzed and monetized. The „rest“ ends up unused. 90% of all data ever created has been generated in the years 2012-2013, and 30% of it contains valuable information. During the last years, the amount of data has been increasing exponentially. Enterprises around the world are beginning to put Big Data on the top list of their operations. Big Data comes with a paradigm shift not only in research: here, the industry is shifting from finding and asking the right questions to letting the data speak for themselves, enabled by smart algorithms doing their analysis automatically. In marketing, the same paradigm shift is taking place: CMOs are provided with factbased, individualized answers in realtime, rather than with intuitive, retroactive perspectives of traditional market research. While it’s not the data in Big Data which is important. Rather, it’s the insights derived from it, the quality of decisions you make and the actions you take that transform big data into smart data, or “affinity data”, if you drill the data funnel down to the individual: the more information marketers have on their user’s likes, preferences and interests, the better they can target the individual […]

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