• Bots and The Music Industry – A Vision of the Future

    27 February 2017
    By Sergey Bludov, VP, Partner at DataArt


    We are hearing a great deal about bots in the media these days. If you had not heard of bots before, you likely learned about them thanks to Microsoft’s Tay scandal when Twitter users exploited its new artificial intelligence chat bot, teaching it offensive remarks. With the advent of mobile and messaging apps, we have seen a rapid increase in bot-hype over the last several years. The term bot is coined from robots and applies to chatbots, chatterbots, spambots, and Botnets. They were originally designed to perform automated tasks, however, bots are becoming more and more intuitive based on the integration with (artificial intelligence) AI. As these bots become smarter and smarter, they can be used in many ways to accomplish activities that are normally relegated to a person or through personal search via engines, and so on. Instead of having to rummage through the web to look for something you want or download an app, you can simply chat about it to a human-like bot to make the experience less of a hassle.


  • ML1

    There are more than enough articles concerning Machine Learning (ML) and Artificial Intelligence (AI) these days. AI is going to make our life easier, it is going to have a beneficial impact on how we conduct business and it may even replace certain things that we do not expect at this moment and time. One thing is sure: the ML/AI movement is on the fast track to broad adoption that will affect almost every industry.


  • Blockchain, DDEX, dotBC and OMI – Oh my!

    09 February 2017
    By Sergey Bludov, VP, Partner at DataArt


    The Race for Digital Music Standardization and Adoption 

    The music industry is at a technological crossroad. One of the biggest challenges for the music industry is accurate tracking of songs that are streamed or downloaded; streamlining the distribution of the music; and improving how musicians, writers, and owners are compensated.


  • social intelligence

    Social Intelligence

    What if artists, record companies, producers, and publishers had the ability to read minds? Well, social listening and social intelligence technology have made it easier to discern and track what people are thinking and saying than any other time in history. Now that almost everyone posts almost everything on social media, review sites, forums, and blogs, those opinions can be analyzed and tracked.  The ability to extract insights from social data is a practice that is being widely adopted by organizations across the world, and the music industry is ready for innovation in this important growing category.


  • Why Do So Many Music Technology Startups Fail?

    06 February 2017
    By Sergey Bludov, VP, Partner at DataArt

    Music_Fail (1)

    The digital evolution has had a massive and continuing influence on the new music technology ecosystem, including the plethora of startups entering the space. But let’s face it, just like music artists, not every new company will make it big – and rarely is there only one reason for a startup’s failure. So what do music technology startups need to know to increase their chances of success?


  • trave_expert_index.jpg

    Greg Abbott, Senior VP of Travel and Hospitality at the global technology consultancy DataArt, was invited to participate in the travel survey for Travel Expert Index organized by Sabre.


  • IoT_Streaming

    Streaming, downloading, publishing, copyright laws, piracy, commissions, royalties, breakage, indie labels – the diverging complexities of the current music industry ecosystem and where the money is going continues to be the hot topic of conversation these days. The big question on everyone’s mind is what can be done to instill trust, confidence and ensure that music payments make it to their rightful owners?


  • Introduction

    What is RE?

    Requirements Engineering (RE) can be summarized as a set of activities that ensures a team is building the right product. In the field of Software Engineering, hence, it seeks the correct and suitable software deliverable.

    Now, what do correct and adequate mean? Correct is a deliverable that meets stakeholder expectations, i.e. that it realizes their vision of the product, while suitable relates to whether it is fit for purpose.


  • IoT Bridges as Microservices in DC/OS

    23 August 2016
    By Rafael Zubairov, Senior Architect

    IoT technologies have become a natural part of our life. And therefore the number of IoT protocols has grown exponentially. Device manufacturers (e.g. wearables, sensors, or temperature / light / environment controllers) use their own protocols for communication and cloud enablement. The cloud infrastructure can also use custom protocols of a higher level to receive device state updates and management information.

    Some platforms use low-level protocols (e.g. COAP) to interact with devices and MQTT to communicate with a central hub. Others use their own standards, built upon HTTP or WebSockets. Central hubs in turn can use a variety of protocols and methods for marshalling data. And imagine the mashup of all those protocols to connect to external services.


  • Getting NFV into Production

    04 August 2016
    By Michael Lazar, Vice President of Telecom at DataArt


    Voting for OpenStack Summit Barcelona presentations is now open. Your votes will help to determine who makes it on stage!