Telefnica Tech continues to strengthen its Artificial Intelligence (AI) capabilities to make data-driven decisions that enable organizations to build more efficient and resilient businesses. Telefnica’s Digital Business Unit has teams dedicated to Artificial Intelligence in 10 centers around the world, offering its customers a service tailored to their local needs and reinforcing its position as the benchmark technology partner for digital transformation processes.
After making strategic acquisitions in recent years to complement the existing capabilities of this technology, the technology company now has more than 400 experts dedicated to the research, development and application of artificial intelligence use cases for clients (public and private companies) across several fields of activity.
These experts are currently distributed in the expertise centers the company has established in Spain (Madrid, Barcelona, Valencia, Valladolid), Great Britain (London), Central Europe (Slovenia, Austria), Brazil (São Paulo) and the Hispanic Region (Santiago de Chile, Mexico City), offering its clients a full service and long service times.
Telefnica Techs’ artificial intelligence experts hold more than 150 certifications in this technology (both in-house and third-party) and have a robust partner network that complements the solutions portfolio.
Elena Gil Rizasoain, Head of Artificial Intelligence and Data Business at Telefnica Tech, said: “We have numerous technological solutions to optimize organizations’ processes, based on the huge potential that comes from combining artificial intelligence with other technologies such as the Internet of Things (IoT), blockchain and cybersecurity. With the global knowledge and experience of our team, we can, for example, help companies forecast demand for their products, automate processes, improve decision-making and personalize customer experiences.”
Telefnica Techs’ artificial intelligence solutions (traditional and generative) have built into their design the ethical principles that Telefnica has defined for this technology, promising to use it in a fair, transparent and accountable way, to focus on people, and to take security and privacy into account throughout the process (including with partners and other external parties).
Sector Specialization
Telefnica Tech offers artificial intelligence products and services tailored to the specific needs of different fields of activity, with public administration, health, industry and sports being the areas in which some of the most relevant projects have been developed recently.
The technology company is working with several employment sectors on projects to improve the functioning of the labour market using a model based on specialized skills to predict which talent is most in demand, guide training recommendations for the unemployed, etc., thus increasing employability and creating a better match between supply and demand.
In the healthcare sector, Telefnica Tech has developed a product together with the multinational company Solventum (formerly 3M Healthcare) to help optimize emergency services in hospitals. The use of artificial intelligence makes it possible to predict the number of patients to be seen in the coming days, the specialties they will need, and how many will need to be admitted to hospital. The aim is to facilitate the right-sizing of different services to provide a better quality of care and patient experience, and to reduce the burden on healthcare workers.
In industry, Telefnica Tech is applying artificial intelligence to harness data generated in factories to facilitate demand planning, predictive maintenance and quality control, avoid production downtime and minimize raw material consumption. In other words, artificial intelligence is helping companies in this sector to become more productive, efficient, resilient and sustainable.
The sports world is another area where Telefnica Tech is applying this technology intensively, combining it with the IoT, helping technical teams improve athletes’ training, prevent possible injuries and prepare strategies for each competition. For example, the company is helping the Spanish Athletics Federation improve athletes’ performance through the use of inertial measurement units and the application of artificial intelligence algorithms and advanced analytics on the data collected.
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