21-23 MAY 2019


Tech Series

Tech Series
    Big Data & Analytics Series

    Big Data is a tool of essential support for the processes required in an optimized and more efficient way. In other data analysis does not provide solutions, but it focuses on providing those data regarding the process of any company or business to optimize, for example, a process of production where these tests are regularly used to search for any deterioration of the process or to know more precisely the functions of the tools,

    Cloud Series

    We are entering an era of “All Cloud”, an era where improved speed to market is a must to remain competitive.

    Cloud permeates all areas of technology and its crucial for the development of Cybersecurity, Big Data Analytics, IoT, Apps, AI, Blockchain, Enterprise IT and so on.

    DES Cloud Forum is an open and collaborative environment to discuss organizational challenges and transitions occurring nowadays. You will find the industry’s leading technologists and innovators to discuss cloud innovation, DevOps, public/private/hybrid cloud, containers, reinvented architecture, cloud services and much more.

    Cybersecurity Series

    The increasing dependence on ICT requires to develop Cybersecurity policies in all kind of organizations. Cyberattacks are becoming more frequent and serious-in-consequences, they have a social and economic impact that needs to be mitigated, reducing it to the minimum.

    We all, not just IT and Cybersecurity pros, need to understand the complexity and the need for action in one of the most sensitives topics across organizations. All new technologies and developments must increase the levels of concern to protect personal and corporate data.

    At DES Cybersecurity Forum, we will bring together experts from all around the world to share their knowledge, ideas and success stories and to create a set of practical recommendations that increase resilience to cyberthreats.

    IoT Series

    Connected things mark the onset of an exciting new era. Learn on what does IoT success depends, while understanding the impact that it has in your industry and the way people live.

    It is increasingly important to find the way to pass from the Proof of Concept stage to the implementation one without being trapped into the frustration one. To do so, it is necessary to assume that Internet of Things projects take longer than expected, that in most of the occasions you don’t have the required skills in-house, that interconnectivity is a complexity driver and that you need to think about security and scalability from the very beginning.

    DES IoT Forum participants will discover key learnings from recent projects, while understanding current trends, identify areas of future growth, and stay ahead in their respective fields.

    Blockchain Tech Series

    A shared and decentralized digital ledger or a continually updated list of all transactions that keeps a record of each transaction that occurs across a fully distributed or peer-to-peer network, either public or private. At a time when companies face new challenges in data management and security, Blockchain has emerged as an interesting solution for the enterprise as a way to let companies make and verify transactions on a network instantaneously without a central authority. Industry opportunities and applications.

    The AInomics

    The AInomics is a new track within Digital Business World Congress in collaboration with SwissCognitive – The global AI Hub. It takes place from May 23rd to May 24th in Madrid. The AInomics sheds light on the impact Artificial Intelligence (AI) has on the economy. It raises awareness about the benefits, potentials, and opportunities around Artificial Intelligence.

    AI is technology that appears to emulate human performance typically by reasoning, coming to its own conclusions, appearing to understand complex content, engaging in natural dialogs with people, enhancing human
    cognitive performance (also known as cognitive computing) or replacing people on execution of routine tasks.
    Thus AI is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information
    and rules for using the information), reasoning (using the rules to reach approximate or definite conclusions), and self-correction.