New trends and challenges in the data world

Fecha del documento: 26-03-2018

Tendencias y desafíos

The amount of data we generate does not stop growing. 90% of the data created in the history of humanity were produced during the last year and a 40% annual growth is estimated for the next decade. These figures highlight the importance of data in today's economy and society. The data provide us with knowledge, which facilitate to make the right decisions at the right time.

To optimize the advantages that the use of data can bring to our day to day, an increasing number of organizations and companies are implementing new technologies that help to improve their management and obtain greater value. The report New trends and challenges in the data world analyzes some of these technological and social trends that are revolutionizing the world of data. These technologies are big data and artificial intelligence, decision algorithms, internet of things and blockchain.

The following are some of the main conclusions of the report:

Big Data and Artificial Intelligence

  • What is it? The analysis of large volumes of data, from different sources and with different formats, in real time, acquires a new dimension combined with artificial intelligence technologies, which apply reason guidelines to data.
  • What are its advantages? Thanks to these technologies, companies and organizations can better understand the current and future functioning of their environment, and face the challenges at the right time. The combination of Artificial Intelligence and Big Data can boost economic growth, respond to citizens needs and optimize public services. In addition, it can contribute to the strengthening of democracy.
  • What are its challenges? The lack of talent with the necessary skills, the limitation in current infrastructures and the privacy protection are the main challenges that organizations have to face when implementing a Big Data initiative.

The decision algorithms

  • What is it? These are automated agents capable of extracting value from a large volume of data in an agile and efficient way, facilitating automatic decision making.
  • What are its advantages? Decision algorithms allow more efficient, transparent and equitable decision making.
  • What are its challenges? Among the challenges faced by people in charge of algorithms management is ensuring the quality and availability of data through controls and audits, as well as ensuring their integrity, ethics and independence.

Internet of Things

  • What is it?  When we talk about Internet of Things (IoT) we refer to a network of connected objects, by wireless or cable, capable of generating data without human intervention.
  • What are its advantages? IoT facilitates processes automation and provides new and multiple forms of interaction that contribute to improving universality and accessibility to services.
  • What are its challenges? The main inhibitors of IoT are security and privacy, interoperability and the need for new infrastructures. It is also important to bear in mind that IoT can contribute to increasing the existing gap between different social classes according to their possibilities of data and services access.

Blockchain

  • What is it? Blockchain is a distributed database that controls the transfer of digital information. That is, a kind of account book where the records are encrypted and interleaved, so change in one of the blocks affects the others.
  • What are its advantages? Its main advantage is the security and privacy of information, the integrity, the sustainability, the transparency and the (quasi) anonymity. This will allow us to transform our political system and enable profound social changes.
  • What are its challenges?
  • The lack of qualified talent, the regulatory changes, the electronic security of citizens and the limits on institutions ability to adapt the new enviroment are the main challenges highlighted in the report.

Thanks to Big Data and artificial intelligence, decision algorithms, Internet of Things or Blockchain, organizations and companies can extract the necessary value from the data, which will help them to improve services and products for citizens. Although these four technologies are still in a phase of incipient adoption, they are expected to grow rapidly over the next few years, once the above-mentioned challenges are overcome - if you want to delve into these challenges you can read the report New trends and challenges in the world of data.

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