Abstract Bullets:
• A key advantage of the Telefónica Tech generative AI (GenAI) platform is that it supplies entry to and evaluates giant language fashions (LLMs) from a number of sources, together with hyperscale cloud suppliers and open supply fashions.
• Telefónica’s benefit comes from its present buyer relationships and its capability to advertise a vendor-agnostic atmosphere.
On January 28, 2025, Telefónica Tech introduced its GenAI platform to assist enterprise clients create digital assistants. The platform is designed to be straightforward to make use of whereas on the similar time permitting entry to a number of LLMs. It supplies instruments for evaluating fashions based mostly on value, efficiency, and latency. Use circumstances embody digital assistants for buyer providers, enhanced information evaluation, and improved effectivity in departments resembling human assets and finance.
One of many key advantages of the platform is that it supplies entry to LLMs from a number of sources. Enterprises can faucet into fashions supplied by hyperscale cloud suppliers, permitting them to work of their most popular atmosphere in addition to entry to open-source fashions. Though many organizations began their GenAI journey with ChatGPT, a big quantity at the moment are exploring the plethora of fashions available in the market as we speak, together with experimenting with small language fashions and task-specific fashions. Moreover, a number of suppliers make particular fashions out there by way of open supply (for instance, open supply is a key element of IBM’s go-to-market technique). Some organizations desire to work with open supply fashions, noting that they’re simpler to customise and less expensive. Nevertheless, others specific safety issues and can solely contemplate open supply fashions for workloads that don’t make the most of extremely delicate information. The current buzz round DeepSeek has heightened consciousness of mannequin choices and pushed house the purpose that the longer term shall be based mostly on multi-model environments.
The platform can also be designed to stick to the European Synthetic Intelligence Regulation (AIR/RIA) and to stick to nationwide or regional regulatory necessities. Considerations relating to regulatory compliance are high of thoughts amongst enterprises, particularly people who must handle the complexity of working throughout a number of geographies. Organizations are putting in processes to implement accountable AI, together with establishing facilities of excellence that monitor AI workloads and utilization throughout departments.
The brand new GenAI platform matches neatly into Telefónica Tech’s long-standing analytics portfolio. It has been working with third events for years to carry AI-driven options to its clients. In 2024 it launched Shark.X, a platform for information administration, analytics, and AI that it developed in partnership with IBM to assist companies in Spain undertake AI (learn extra at Generative AI Watch: Telefonica Tech Collaborates with IBM to Assist Clients Navigate GenAI, June 28, 2024). It additionally provides options to deal with buyer ache factors round information administration (a foundational ingredient for scaling AI), and in mid-February 2025, it partnered with Collibra to offer assist to Spanish entities scuffling with information governance. The corporate boasts a staff of over 400 supporting its AI and analytics initiatives
Telefónica’s new platform will face its share of challenges. Quite a few distributors supply platforms for deploying GenAI within the enterprise, together with giant hyperscale cloud suppliers resembling Amazon Net Companies (AWS) in addition to AI-specific platform distributors, resembling DataRobot and Dataiku. Moreover, IT providers suppliers supply quite a few options to assist GenAI deployments. Telefónica’s benefit comes from its present buyer relationships and its capability to advertise a vendor-agnostic atmosphere. Enterprises specific a willingness to work with their telecom providers supplier for GenAI assist, noting long-standing relationships, value, assist, and low worker churn.
