ARTIFICIAL INTELLIGENCE AND BIG DATA

WE PROCESS, ANALYSE AND OBTAIN THE MAXIMUM VALUE FROM ALL LARGE VOLUMES OF INFORMATION, MAKING IT POSSIBLE TO TAKE INTELLIGENT DECISIONS QUICKLY AND PROFITABLY

GMV offers AI and Big Data solutions that allow companies to take decisions based on data to obtain better business results.

ARTIFICIAL INTELLIGENCE

We reinvent the way in which companies compete and develop

GMV integrates the business processes of the technically most advanced companies in AI, which range from Machine Learning to Cognitive Services (IBM Watson, AWS AI, Google AI, etc.), providing competitive and disruptive advantages to companies. In addition, we handle challenges such as mitigating biases that lead to discrimination (Fairness Learning) and interpreting the results, making the decision-making process more transparent.

  • Machine Learning
  • Reinforce Learning
  • Process Mining
  • Recommendation engines
  • Graph analysis
  • Cognitive services

BIG DATA

Storage and analysis of any type and size of data

GMV makes available to organisations the latest Big Data architectures to aid them in the implementation and management of data, unified within the digitalisation strategy, ranging from integration with existing systems to the implementation of high added-value solutions that provide a competitive advantage based on data. In this process we help with training, technological consulting, architecture design, concept testing, implementation and maintenance of the Big Data platform to ensure that the transformation process is efficient and integrated.

  • Data integration
  • Streaming processing
  • Data masking
  • Open data & APIs
  • Indexing and searching
  • Data mining

BUSINESS INTELLIGENCE

The power of data oriented to generating a business impact

GMV assists companies in their decision-making based on their data in a manner that is efficient, reliable, high quality and secure, using the most recent techniques in the design of reports, advanced visualisations, dashboards, and establishing policies that manage the information throughout the data lifecycle.

  • Reports and dashboards
  • Data governance and quality
  • Data Warehouse
  • Advanced visualisation
  • Data security