Maximize your data's power with Generative AI: five key approaches

Although AI has been transforming technology for decades, Generative AI has emerged as a disruptive breakthrough. This technology extends beyond analyzing data or editing documents; it can create new content, including text, images, videos, music, voices, data, and programming code. Its capacity to reinvent processes and offer creative solutions places it at the heart of modern digital transformation.

The effectiveness of Generative AI depends largely on the quality and relevance of data, establishing itself as the cornerstone of technological progress. When implemented correctly, it can redefine entire industries, driving innovation, creativity, and efficiency in unprecedented ways. Its applications range from designing personalized strategies to automating tasks that once required significant time and resources.

When applied effectively, Generative AI can transform industries by boosting innovation, creativity, and efficiency.

Below, we propose five approaches to integrating Generative AI into your company's data to fully capitalize on its opportunities:

1. Generative AI to unlock data value

It is estimated that only 10% of business data is accessible and utilized. This is because many organizations face challenges managing large volumes of unstructured data. However, Generative AI has simplified this process by enabling companies to use pre-trained models to extract valuable insights from dispersed data, tailoring them to specific, personalized needs.

Despite investments in modern data infrastructures, corporate databases remain fragmented into silos, hindering efficient access to training large language models (LLMs). This limits the scope and effectiveness of technological solutions.

■ Unifying data stored across different platforms, particularly in the cloud, ensures the quality and accessibility required for Generative AI to succeed. Consolidated data also allows for the development of more precise insights and optimized business strategies.

2. Enhancing LLMs with semantics to promote understanding and learning

A common application of Generative AI is creating advanced chatbots. Increasingly, companies integrate these interfaces to handle inquiries and improve customer experience. However, one of the main challenges lies in achieving an accurate interpretation of business terminology and aligning business metrics to ensure objectives are met.

Solutions based on semantics and contextual chatbots can transform how businesses access commercial intelligence. These tools enhance data comprehension, simplify access to key information, and deliver responses tailored to each user's or situation's context.

■ By combining semantic technologies with LLMs, companies can advance toward greater personalization, improving operational efficiency and customer satisfaction.

3. Amplifying human potential with Generative AI

Generative AI will impact traditional functions like marketing and finance while opening new possibilities in areas such as human resources, office administration, and especially software engineering. These capabilities allow reimagining daily work, breaking operational barriers, and freeing up time for more strategic tasks.

In this context, Generative AI will revolutionize interactions with complex systems, enabling the generation of code more efficiently, automating technical tasks, and facilitating interoperability between systems. For example, developers will be able to use Generative AI to create software prototypes in minutes, optimizing development time.

■ By freeing professionals from repetitive and routine tasks, Generative AI will foster creativity, innovation, and strategic problem-solving, enhancing business competitiveness.

Its implementation in areas like staff training and data analysis can also redefine how companies manage their teams and operations.

4. Scaling AI with automation

According to Gartner, more than 80% of companies are expected to implement Generative AI in production environments by 2026, compared to less than 5% in 2023. This rapid growth highlights the potential of Generative AI to transform key processes across industries such as manufacturing, healthcare, retail, and financial services.

However, true transformation does not lie solely in building chatbots but in integrating Generative AI into core business processes. This involves using it to automate supply chains, enhance decision-making, and develop more personalized products or services. Moreover, these solutions' ability to integrate with other technologies, such as IoT and Cyber Security, further expands their impact and reach.

■ Generative AI solutions must move beyond basic interaction and be capable of analyzing data, making strategic decisions, and quickly adapting to environmental changes.

Combining automation with Generative AI allows businesses to scale efficiency, providing a significant competitive advantage.

5. Reimagining your team's talent in the AI era

While the demand for data and analytics professionals continues to grow, Generative AI introduces the need for new skills and specialized roles. These include AI engineers to manage models and data, AI ethics experts to address biases and privacy, and AI optimizers to ensure efficient performance.

As this technology advances, new roles will also emerge, such as "AI trainers" to tailor models for specific sectors and "augmented creativity specialists" who will combine technical knowledge with human creativity to develop innovative solutions.

■ Generative AI solutions should support these roles while automating certain tasks, enabling professionals to focus on higher-value strategic activities.

This includes simplifying onboarding processes, reducing errors in manual tasks, and improving collaboration between teams.

Our GenAI Platform by Telefónica Tech

Our GenAI Platform solution, which we created with Altostratus, part of Telefónica Tech, enables organizations to create customized virtual assistants that optimize internal processes, drive digital transformation, and enhance customer experience. This tool integrates quickly and seamlessly into business processes without specific configurations, facilitating large-scale adoption.

Virtual assistants created on our platform automate tedious tasks, allowing workers to focus on higher-value activities. Additionally, the platform is agnostic, scalable, and secure, enabling companies to harness Generative AI capabilities regardless of their technical level.

By doing so, Telefónica Tech's GenAI Platform aims to popularize customized virtual assistants, making businesses more efficient and resilient. With this solution, organizations can transform their operations and maintain a competitive edge in an increasingly dynamic business environment.

Integration and benefits of the GenAI Platform

At Telefónica Tech, we believe that Generative AI should not be limited to chatbot creation. Instead, it should be deeply integrated into core business processes to achieve true digital transformation. Our GenAI Platform is designed to analyze large volumes of data, make informed decisions, and quickly adapt to environmental changes, combining automation and generative intelligence.

This platform enhances operational efficiency and drives innovation by freeing professionals from routine tasks, enabling them to focus on more strategic initiatives. It also provides advanced tools to manage privacy and biases, ensuring AI solutions are ethical and responsible.

Businesses can rely on a robust and flexible solution tailored to their specific needs and in compliance with the European Regulation on Artificial Intelligence (EU AI Act). This solution also fosters collaboration among different teams, enabling a more cohesive and fluid AI implementation across the organization.

Telefónica Tech's GenAI Platform represents an advanced automation tool. Hyper-automation is a fundamental pillar of companies' technological and competitive evolution, preparing them for future challenges by enhancing their capacity for innovation and market leadership.

Generative AI as a catalyst for innovation, operation, and competitiveness that reshapes companies' operations.

Conclusion

Generative AI is not just a technological tool—it is a catalyst that redefines how companies innovate, operate, and compete. By adopting strategic, data-centered approaches, businesses can unlock the full potential of this technology, which drives digital transformation.

From improving efficiency to creating new markets, Generative AI is set to be a key driver of change in the coming years. Companies that embrace this technology and develop adaptive strategies will be better positioned to grow in an increasingly digital and competitive environment.