How to Choose Your IoT Platform – Should You Go Open-Source?

How to Choose Your IoT Platform – Should You Go Open-Source?

Igor Ilunin, Head of IoT at DataArt, presents a general overview how to choose the right IoT platform for you. The article highlights the major criteria to consider and evaluate in a custom or open-source IoT platform. Also, it covers math and cost analysis, comparing open-source to serverless IoT platforms. Read the full article here: https://www.iotforall.com/iot-platform-open-source-vs-serverless/.
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Machine Learning for Asset Management

Machine Learning for Asset Management

DataArt published a new case study about using Machine Learning for asset management. The solution delivered significantly automated the image filtering process, making it possible to scale the business model as required. The Machine Learning approach facilitated a number of business benefits:
  • Reducing the human resources involved and automating the process;
  • Constantly improving image recognition models using the regression learning pipeline;
  • Ensuring that image recognition algorithms work on resource-limited devices, making it possible to use the solution in real time without cloud computation power;
  • Using cloud technologies to scale the solution.
The full case study is available here.
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CNC Controller in Python

CNC Controller in Python

Supporting legacy technologies and hardware is always expensive and time consuming. Using modern architectures and popular languages like Python disrupts the whole industry allowing it to drastically shorten the time to market and decrease proof-of-concept efforts. As the result, it reduces the learning curve of CNC in general. Moreover, using modern tools opens a wide range of integration options with other cutting edge technologies, solutions, and infrastructures making the whole market more customer centric. DataArt's IoT team published a new case study about the first ever CNC machine controller implementation in pure Python. The project is open source software. The source code is available here: https://github.com/Nikolay-Kha/PyCNC
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RPi3 vs DragonBoard from the Python Perspective

RPi3 vs DragonBoard from the Python Perspective

Python is a perfect language for creating simple PoC projects. We will not talk about the full list of Python’s advantages, but the most amazing one is that Python is cross platform. This feature is quite useful for building embedded system applications. No need to wait until a compiler builds binaries, no need to deploy applications to the board. And the same code runs on a PC desktop as well as on Linux-based boards like Raspberry Pi. However, this approach has its limits. It cannot be used for some hardware-related projects, e.g. a PC desktop doesn’t have an SPI. And obviously ARM-based boards are slower than a PC. So in some cases an algorithm perfectly running on a desktop experiences a lack of performance on an embedded system. Performance was critical in one of our latest projects (watch Amazon Alexa Virtual Device demo here). We used a Dragonboard 410c as one of target platforms. We were pleasantly surprised with the board’s performance. Even without instrumental benchmarking we felt a significant boost in OS packages installations, application launch, and overall performance compared to Raspberry Pi 3. Let's have a look at board specs:
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DataArt at MWC 2016

BarcelonaFebruary 22 - 25, 2016 For the second consecutive year DataArt will join Canonical at Mobile World Congress (MWC), the world’s largest gathering for the mobile industry, to demonstrate enterprise IoT solutions, big data, system integration and scalability. DataArt will showcase the following IoT and cloud systems running on top of Canonical’s  Ubuntu Snappy Core and Juju.
  • Software defined infrastructure and CPE
  • Home automation scenarios
  • Industrial automation and predictive maintenance
  • Scalable container-based cloud platform orchestrated by Juju
 For any questions or to schedule a meeting, feel free to contact us. Event details: Date: February 22- 24, (9am – 7pm), 25 (9am – 4pm) Location: Fira Gran Via, Av. Joan Carles I, 64 08908 L’Hospitalet de Llobregat, Barcelona Booth: Hall 3 – 3J30
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Learn IoT with the Best

Saturday, January 16, 2016, 10:00 a.m. to 6:00 p.m. (EDT) DataArt and DeviceHive are the partners of a full-day online conference with one-to-one mentoring sessions specialized in IoT right in the comfort of your homes. Rafael Zubairov, our leading IoT expert, will tell you how to build the Open Source IoT Data Platform with the wide range of device integration options. Learn IoT With The Best is a full-day online conference tailored for developers who want to explore the IoT universe deeper. Right in the comfort of their homes, the participants will enjoy an empowering interactive experience through a friendly platform specially designed for this event. Certainly, the attendees will be supplied with a set of tools to interact with the best IoT experts:
  • a chatroom to ask live questions during the conferences;
  • Q&A forum after the conferences during which both experts and attendees can share knowledge and information;
  • one-to-one live mentoring sessions with the chosen expert(s);
  • downloadable presentations at the attendees’ disposal;
  • 6-month guaranteed access to the conferences, Q&A forum and one-to-one sessions.
More than 300 attendees are expected to listen and interact with at least 12 technical experts selected worldwide and coming from various backgrounds: IoT meetups speakers, startup CTOs, and Technical Evangelists in large groups such as Microsoft and Amazon. Useful information Official Website: http://iot.withthebest.com/ Date: Saturday, January 16th – 10am to 6pm (EDT) Venue: Online Twitter & Official Hashtag: @LearnWTB / #IoTWTB Themes: IoT / Wearables/ m2m/ IoT Cloud/ IoT Platform/ Smart Cities/ Connected Objects. 50% discount for the first 50 registrants from the DeviceHive community: DataartIOT Who will be speaking? Skilled developers, tech evangelists, CTOs in IoT startup and so on... Who can participate? Skilled developers, designers, data analysts, makers, startupers and entrepreneurs interested in IoT.
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Enterprise Developers can’t miss the NY Open Source IoT Summit

Enterprise Developers can’t miss the NY Open Source IoT Summit

Hearing a lot about IoT lately? Want to learn everything from home automation to Industrial IoT? Want to try enterprise IoT solutions yourself? The Open Source IoT Summit is about open source IoT and Azure IoT solutions that anybody can use. Join Microsoft, Ubuntu / Canonical and DataArt to learn all about it and jointly start creating IoT solutions. Learn:
  • How to create and package enterprise IoT apps;
  • Monetizing IoT and selling IoT apps through IoT app stores;
  • IoT security;
  • Easily supporting different IoT standards;
  • How to connect IoT devices to the cloud and use Azure IoT services;
  • Open source tools to easily write and package IoT apps in any language;
  • Learn about DeviceHive, the open source IoT platform that greatly accelerates your IoT product development;
  • How to automatically test changes and roll them out securely in production;
  • Sample Industrial IoT solutions like open source predictive maintenance.
Bring your laptop, some IoT boards / toys / sensors and let’s start making great IoT solutions. Register now, free tickets are limited.
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Open Source IoT Solutions on Azure

Open Source IoT Solutions on Azure

DataArt, the maker of DeviceHive, and Canonical, the maker of Snappy, Ubuntu and Juju, present Open IoT Solutions on Azure Events.

DataArt and Canonical are demonstrating industrial preventive maintenance and home IoT scenarios, that can be prototyped, scaled, and deployed. DataArt’s DeviceHive running on Canonical’s Ubuntu VM, are available on the Microsoft Azure Marketplace, providing accessibility to a flexible IoT platform. New bundled IoT solutions and examples, DeviceHive on Snappy (RPii), Data Analytics stack deployed by Juju, and Microsoft Azure services, will be discussed and demonstrated.

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Ready to visit the event? Find the details here!

The event will take place at Microsoft's New York Conference Center, Central Park East (6th fl, 6501a). November 12, 2015. 1 pm - 5 pm. 11 Times Square, NYC.

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IoT Solutions at Strata+Hadoop World NYC 2015

IoT Solutions at Strata+Hadoop World NYC 2015

DataArt will be showcasing Big Data, IoT and predictive maintenance solutions at Strata+Hadoop World NYC 2015, September 30 — October 1. Powered by Canonical's Ubuntu Snappy Core and orchestrated by Juju, we will showcase how to deploy DeviceHive's lambda architecture and evolve your industrial IoT solution from proof of concept to a scalable production system.

Stop by Canonical/Ubuntu Booth #358. If you would like to connect at the show, please leave your contact information here. Looking forward to seeing you at Strata+Hadoop World NYC.

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KidPRO App — Improving Adherence in Clinical Trials

At DataArt our broad healthcare and life sciences experience coupled with our deep technology expertise allow us to clearly see the gaps in the healthcare technology field. For instance, there are many electronic patient recorded outcome systems (ePRO), and patient diaries used for chronic care management and clinical trials, but none of them has a patient interface engaging enough for adult patients, let alone children. By combining our vast expertise in user experience design, mHealth, and gamification, we have created a concept product that covers the current gap in pediatric mHealth solutions. Unlike existing products, DataArt’s concept application KidPRO uses these aspects to motivate young patients and turns managing their own healthcare or participating in a clinical trial into a fun and rewarding process.
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Pills Adjutant — medication adherence tool for iOS and Android

Pills Adjutant — medication adherence tool for iOS and Android

The DataArt Orange team published a new project — Pills Adjutant. Staying on track with a treatment plan relies a lot on self-management. However, those who have to take medicine often find it difficult to recollect taking a dose at the right time, or even at all. With Pills Adjutant, medication adherence tool for iOS and Android, there is no need to remember. It helps you keep up with your medication schedule utilizing modern wearable devices, such as Apple Watch or similar for Android. See the full description and the screenshots on the project's page. The demo can be provided on request. Also, subscribe to our news below, we'll keep you posted.
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DeviceHive platform arrives on Azure Marketplace

DeviceHive platform arrives on Azure Marketplace

The industrial Internet of Things (IoT) enables businesses to predict when industrial equipment is going to fail, so that action can be taken beforehand. A leader in this space, DataArt, developed one of the first IoT and big data open sourced platforms, DeviceHive, and published on the Microsoft Azure Marketplace. DataArt has collaborated with Canonical, the company behind Ubuntu, as well as Microsoft.
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DeviceHive becomes a member of AllSeen Alliance

DeviceHive becomes a member of AllSeen Alliance

Along with companies like Microsoft, Cisco, Panasonic, Sony, and others, DeviceHive has become a member of the AllSeen Alliance. The main mission of the AllSeen Alliance is to enable widespread adoption and help accelerate the development and evolution of an interoperable peer connectivity and communications framework based on AllJoyn for devices and applications in the Internet of Everything.
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DataArt on the Leading Edge of Food Recognition

DataArt on the Leading Edge of Food Recognition

The DataArt Orange initiative spent lots of development efforts for its food recognition R&D project. And finally it feels that the market is ready for the technology. Last week Google announced at the Rework Deep Learning Summit an artificial intelligence project to calculate the calories in pictures of food you have taken. According to The Guardian, “the prospective tool called Im2Calories, aims to identify food snapped and work out the calorie content”. There is not much information about the project and what algorithms are available at the moment, but what is available indicates that Im2Calories will utilize a similar approach used by DataArt’s Computer Vision Competence Centre researchers in their Eat’n’Click project.
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DeviceHive at Microsoft Build 2015

DeviceHive at Microsoft Build 2015

We are glad to announce that the DeviceHive team together with Canonical/Ubuntu will support showcase IoT solutions using Ubuntu Snappy Core and Microsoft Azure at Microsoft Build 2015. If you would like to chat, please get in touch with us to schedule a meeting. Tickets for Microsoft’s annual developers conference were sold out in just an hour. It will take place in San Francisco on April 29th through May 1st. It’s really exciting to see where the company’s IoT vision will lead us. Microsoft CEO Satya Nadella said that “the new product, “Azure IoT Suite”, will combine business intelligence capabilities (Power BI) using real-time data (Azure Stream Analytics) with Azure Machine Learning capabilities”. Also he announced that Azure IoT Suite will be available as a preview later this year. While few details about the suite were provided, it will be designed to address various IoT scenarios “such as remote monitoring, asset management and predictive maintenance.”
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IoT: instant and scalable integration with DeviceHive and Juju

IoT: instant and scalable integration with DeviceHive and Juju

DataArt, a technology consulting firm,  has joined the Charm Partner Programme. Canonical’s Charm Partner Programme helps solution providers make best use of Canonical’s cloud orchestration tool, Juju; enabling instant integration, scaling at the click of a button, simple to share blueprint deployments and an easy way to deliver solutions in minutes. DataArt’s product DeviceHive is an opensource solution enabling easy connectivity between devices, making any connected device part of the Internet of Things (IoT).  It provides the communication layer, control software and multi-platform libraries to bootstrap development of smart energy, home automation, remote sensing, telemetry, remote control and monitoring software, and much more.
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DataArt Orange to integrate its food recognition engine with Apple HealthKit and Voice Recognition

Eat’n’Click is an application developed by DataArt that helps people track the nutritional content of foods they consume. The app automatically tracks calorie information by scanning photographs of food.

Its prototype is available on the App Store and can recognize a number of fruits with more than an 85% success rate. Recently the application was demonstrated by the DataArt team during the Health 2.0 Europe 2014 event in London and was highly appreciated by its participants.

Following industry trends and the high attention Apple HealthKit is receiving, DataArt’s Research Lab decided to move forward by automating the tracking of users’ nutrition habits. DataArt is planning to build a PoC prototype to integrate with Apple HealthKit. Also, we plan to implement a voice recognition engine with it. The aim of DataArt’s Orange R&D initiative is to reduce the gap between humanity and computers. And we strongly believe that this step will be highly effective.

FoodR Slim to be integrated with Apple HealthKit and Voice Recognition
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DataArt ORANGE at Health 2.0 Europe 2014

  DataArt’s Healthcare & Life Sciences Practice has more than 10 years of medical software development experience  and is willing to present its achievements. November 10-12 this year, DataArt is exhibiting at Health 2.0 Europe conference in London. It is the second time Health 2.0 takes place in London bringing together the latest in health technology and inspiring thought-provoking discussions. Last year’s conference proved to be a great success, and this one is bound to be a new exciting edition. DataArt believes that an event of this scale helps the industry to move forward, and we can’t wait to discuss hot industry topics at the event. Among other things, we are proud to demonstrate how our RnD project ORANGE can give a great boost to your healthcare & life science business. Please come visit us at our booth at Health 2.0.
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