Blog – Our Thoughts on IoT, blockchain, smart contracts & DAOs

The biggest thing in tech 2015-2025?

The biggest thing in tech 2015-2025?

From time to time we contemplate about which developments, movements or innovations are those that really matter, and that make this frequently mentioned difference. The results of these intellectual games must be subjective and are generated from a uniquely individual perspective. Things get fascinating, though, if you’re convinced that a specific development not only qualifies as your personal No 1 but should be on many people’s A-list.  Speaking of technology, my personal No 1 which back in 2009 was ‚Apps’, since 2015 is „Blockchain“. Beside developments such as VR and AR that certainly will honour their promises, the blockchain will fundamentally change the way we use the internet. You can regard it as a layer on top of the internet which allows a completely different approach to transactions – i.e. the end-user perspective – and supply chains – i.e. B2B perspective. Without summing up and repeating all aspects of a blockchain, let’s focus on just one aspect (which, by the way, is the only reason for using  a blockchain, anyway) – the automated consensus made possible by smart contracts. A smart contract is an algorithm defining and executing a set of rules, i.e. without an additional notary service deciding upon […]

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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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The Need For Encryption

The Need For Encryption

With this post we do something quite unusual: we re-publish Apple’s letter to their customers. It’s not that we were such Apple fans that we would join  the company’s marketing efforts but the encryption of iPhones has been discussed for a long time. And this week, the FBI and the United States government, demanded that Apple builds a new version of iOS bypassing security and creating a backdoor. This might not be the first case of such a request a private company being asked to install a backdoor (we know that some have done it) but Apple does not retreat. Please read this letter and add your thoughts to that topic – either here at Datarella or other channels – we think that this needs to be discussed in public. And – maybe – there even are (secure) technical solutions to comply with the FBI’s requests AND privacy. “A message to our customers“, published by Apple, Inc., February 16: February 16, 2016  A Message to Our Customers The United States government has demanded that Apple take an unprecedented step which threatens the security of our customers. We oppose this order, which has implications far beyond the legal case at hand. This moment calls for […]

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New Product Development in the Age of IoT

New Product Development in the Age of IoT

If you’re responsible for new product development in your company, you will be familiar with the several steps of that process. Experts mostly separate the new product development process into seven or eight steps, starting with idea generation and finishing with a post launch review. The fact that more and more things become smart; i.e. they either feature some intelligence or they are connected and controlled through the IoT, has significant implications on new product development, particularly on its very first phases. Traditionally, ideation and screening of first product ideas have focused on research, brainstorming, SWOT analysis, market and consumer trends, and so forth. All these activities imply certain hypotheses and more or less tangible perceptions of products or product components. This works fine, as long as the final product is a one-way product; i.e. once produced and sold it won’t change (other than to age and break, ultimately). However, smart things aren’t on-directional, but bi-directional: they communicate, they change, and therefore their effects on consumers are far more complex and variable than those of their “dumb” predecessors. The smarter a thing, or a group of things, is, the more complex the situations they will create for their environment and […]

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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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If it’s smart, you can wear it!

If it’s smart, you can wear it!

It started with the first smart clothes in 2006, motivated luxury brands like TAG Heuer of LVMH to add some smartness to their watches and even lets farmers recognize patterns in dairy cow movements: wearables have become mainstream. At our Wearable Data Hack this June, we partnered with Wearable Technologies, a Munich based company specialized in marketing wearables. One part of our hackathon’s prizes were tickets to the 2016 Wearable Technologies Conference, taking place in Munich, January 26-27. Looking at the impressive lineup of speakers at the conference, we’re sure that our winners will learn a lot about the near future of wearables! If you also want to attend the conference, you might want to use this special link and our friends&family code Datarella_Friends for receiving a 15% discount.  See you at the Wearable Technologies Conference 2016 in Munich!

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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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Predictive modeling – an interview with Datarella CEO Joerg Blumtritt

Most of the time, we at Datarella deal with the very near future: what will be the most likely thing that individuals want or what they are up to next? We use mathematical models to predict human behavior. But not only human behavior is what Datarella is interested in. Research papers, internal customer data and external data are being used by Datarella to predict probabilities of success of specific products. We detecs patterns, weaknesses and events in behavior and product design and – together with our customers – we define workarounds, optimizations or completely new data-driven products.

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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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