My AlgorithmicMe: Our representation in data

Talk at Strata + Hadoop World Conference 2016, San Jose, Ca. Today, algorithms predict our preferences, interests, and even future actions—recommendation engines, search, and advertising targeting are the most common applications. With data collected on mobile devices and the Internet of Things, these user profiles become algorithmic representations of our identities, which can supplement—or even replace—traditional social research by providing deep insight into people’s personalities. We can also use such data-based representations of ourselves to build intelligent agents who can act in the digital realm on our behalf: the AlgorithmicMe. These algorithms must make value judgments, decisions on methods, or presets of the program’s parameters—choices made on how to deal with tasks according to social, cultural, or legal rules or personal persuasion—but this raises important questions about the transparency of these algorithms, including our ability (or lack thereof) to change or affect the way an algorithm views us. Using key examples, Joerg Blumtritt and Majken Sander outline some of these value judgements, discuss their consequences, and present possible solutions, including algorithm audits and standardized specifications, but also more visionary concepts like an AlgorithmicMe, a data ethics oath, and algorithm angels that could raise awareness and guide developers in building their […]

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Let’s discuss all things Ethereum at our Ethereum Munich Meetup

Let’s discuss all things Ethereum at our Ethereum Munich Meetup

More and more Big Data projects we with Datarella are involved in demand not only administrative or legal security layers but also state-of-the-art technical frameworks to provide the maximum security there is for business as well as petsonal data. To provide our clients with sustainable solutions we have partnered with Ethereum and its spin-off Ethcore. The Ethereum framework enables us to build business models on top of it, using a very sophisticated blockchain approach, smart contracts and elements of the DAO concept and finally, our own product, the Datarella Data Trust. Since the blockchain, smart contracts, DAO and especially Ethereum are quite new to the Big Data scene, we aim to make them better known to a broader audience. So we have started the Ethereum Munich Meetup as a platform for presentations, discussions and development of Ethereum-based ideas, concepts, use cases, projects, etc.. If you are interested in all things Ethereum feel invited to our regular meetups!

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What you can expect from Datarella in 2016

What you can expect from Datarella in 2016

We always take a little time in the very first days of a year to define Datarella’s main goals for this year. This time it was a pleasant task since 2015 went very well for Datarella: we achieved most of our goals and we could start without any legacy issues. So, what to expect from Datarella in 2016? Beside our growing consulting business with fascinating projects and clients, we will focus on our product Data Trust and our project Data Coach.  Due to our tight schedule in 2015, we haven’t published much about Data Trust and Data Coach, yet.  I’d like to give a brief overview on both in this post. Data Trust Generally speaking, Data Trust is a secure data market model for Big Data projects. Sharing data between businesses makes much sense: Both, data processing and analytics scale with the data, and development, quality assurance, as well as support become very efficient. The problem: Many businesses are hesitant to share their data with partners for security reasons, to maintain their competitive advantage, and also obligatory compliance aspects regarding data protection. Data Trust solves this deadlock: With it we provide a secure sharing solution for corporations. Datarella organizes each client’s […]

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Know And Speak To Your Customer Through The IoT

Know And Speak To Your Customer Through The IoT

Equipped with sensors and microchips, ever more of objects can communicate, with each other and with human beings – the Internet of Things and Humans is born. Even washing powder is set to become smart through attached sensors on its packaging that detects when the product is being used, and that communicates with readers like smartphones when scanned. From today’s 5 billion to 21 billion by 2020, the number of wirelessly connected things will increase.  Who will profit from the Internet of Things – or IoT – most? Let’s look at the obvious applications, first: Stock-keeping and supply-chain management processes will have implemented technologies making objects communicating with each other, thus enabling businesses to follow the progress of their products from factories to shops to end-consumers. Espresso beans will tell baristas about the best temperature to keep them in stock. Batteries will inform their owners when reaching the last phase of their power-providing lives. From our perspective, however, the biggest potential lies in customer relations. Brands are realizing that the best way to sell their products is to build personal relations with customers rather than to spend lavishly on marketing. Until today, many brands come only second behind retailers with […]

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Algorithm ethics: The inevitable subjective judgements in analytics

Here is the video of the talk on subjectivity and ethics in data science methods, that Majken Sander and I gave at Strata+Hadoop World Conference 2015 in London (Courtesy O’Reilly Media, Inc.). The Strata + Hadoop World 2015 in London Complete Video Compilation is also available at O’Reilly’s – and highly recommended.

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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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Wearable Data Hack Munich 2015

Wearable Data Hack Munich 2015

Today, we would like to announce something special. Something we can’t wait to take place and until mid June it’s going to be tough to sit tight. Please, feel invited to our Wearable Data Hack Munich 2015! The Wearable Data Hack Munich 2015 is the first hack day on wearable tech applications and data. It will take place right after the launch of Apple Watch – the gadget we expect to rise the tide for all wearables. Withe the Wearable Data Hack Munich 2105, we aim to kick-off app development for the emerging smartwatch and wearable tech market. During this weekend you will have the first occasion to share your 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 a multidimensional picture 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 […]

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The Datarella World Map Of Behavior

The Datarella World Map Of Behavior

Every smartphone user produces more than 20 MB of data collected by her phone’s sensors per day. Now, imagine the sensor data of 2 billion smartphone users worldwide, translated into realtime human behavior, shown on a global map. That is the vision of the Datarella World Map of Behavior. A typical 2015 generation smartphone sports up to 25 sensors, measuring activities as diverse as movements, noise, light, or magnetic flux. Most smartphone users aren’t even aware of the fact that their phone’s camera or microphone never are really „off“ but that they constantly collect data about the noise level or the intensity of light the user is experiencing. Actions speak louder than words Actions speak louder than words – if we want to really know a person we have to know how she behaves, and not only what she says. And that’s not only true for politicians. We all form our opinions on others by looking at their actions, more than their words. Many inter-personal problems result from NOT looking at people’s actions, but focusing on other aspects, such as their looks or their words. Behind superficial distinctions such as physical appearances, over time we often realize similarities with other […]

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The Datarella Data Timeline

The Datarella Data Timeline

If you live in the Americas, Europe, Asia-Pacific or Australia, you probably are one of 1.76 billion smartphone users. What do you do with your smartphone? You use apps for texting, social networking, gaming, etc. And you produce data. Lots of data. Every move you make, every breath you take, your behavior results in data: location, movement, body functions, external situational data. And you produce all this data on the fly, passively, without any effort. But where is this data? Can you see it? Do you know exactly which data you produce? At which times or to what extent? Do you know that your data can be of tremendous value for you? That you can improve your health by using it? Can you imagine knowing all about your data, that you see your data, in realtime, presented in a meaningful way that lets you understand its value? Welcome to the Datarella Data Timeline  The Data Timeline  is an app-centric timeline of your own behavior data and that of your social network. Using the Data Timeline is like looking into a mirror: you see yourself – not your external appearance but the visualization of your body data, you see the most complete […]

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Slow Data

Slow Data

Data is the new media. Thus the postulates of our Slow Media Manifesto should be applicable on Big Data, too. Slow Data in this sense is meaningful data, relevant for society, driving creativity and scientific thinking. Slow Data is beautiful data. Read my new text „From Slow Media to Slow Data“ at http://beautifuldata.net

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