The critical role of data in personalizing experiences with AI
- Denis Pesa
- Feb 26
- 7 min read
AI generated summary:
Personalizing user experiences with Generative Artificial Intelligence (GenAI) and Machine Learning (ML) has become a key competitive differentiator for companies across a range of industries. Data quality and structure are essential for AI models to deliver accurate interactions, efficient predictions, and highly personalized experiences. Industries such as healthcare, education, retail, finance, and hospitality are already using generative AI to optimize operations, improve customer service, and drive automated decision-making.
In recent years, and increasingly, personalizing the user experience has become a crucial competitive differentiator for companies using Generative Artificial Intelligence (GenAI) and Machine Learning (ML). At the heart of this transformation is one essential element: data. The quality, structure, and volume of data determine the effectiveness of an AI model in delivering personalized experiences, accurate predictions, and contextual interactions.
According to a McKinsey study, “Data cannot be an afterthought in generative AI. It is the essential fuel for a company to extract real value from technology.”
The importance of data for GenAI and Machine Learning models
GenAI and ML models intrinsically depend on data quality to:
Create more accurate and coherent responses
The richer and more well-structured the dataset, the better the model understands the context of interactions and provides more relevant suggestions.
Personalize experiences in real time
Models trained with contextual data can tailor content and recommendations to each user’s specific needs.
Enhance automated decision making
High-quality data allows AI to anticipate demands and propose solutions autonomously and efficiently.
Real-world examples of AI personalization
The application of generative AI to personalize experiences is already a reality in several sectors. Here are some practical examples:
Health Sector
Jimenez Diaz Foundation
In Madrid, the foundation has implemented the AI system “Mobility Scribe”, developed by the Quirónsalud hospital group. This system listens to conversations between doctors and patients, generates understandable medical reports and suggests treatments that doctors must validate. The initiative aims to reduce administrative tasks for healthcare professionals, allowing them to dedicate more time and attention to patients.
SalienceAI
This startup focuses on developing and deploying AI specifically for the pharmaceutical industry, with an emphasis on data security and compliance with regulations such as HIPAA. Its algorithms are designed to perform well on biomedical data, helping to analyze and interpret complex information to offer personalized treatments.
Education Sector
AI-Powered Educational Platforms
Educational institutions are integrating generative AI to create personalized content that adapts to each student’s pace and learning style. For example, intelligent tutoring systems analyze individual performance and provide tailored study materials and exercises, improving efficiency and engagement in the educational process.
Educational Virtual Assistants
Tools such as educational chatbots are being used to answer students' questions in real time, offering ongoing support outside of class hours and contributing to a more interactive and personalized learning experience.
Here at BlueMetrics, we have developed several educational platforms and assistants for some of the biggest players in the Brazilian market. If you want to know more about this, get in touch contact .
Online Retail
Personalizing Shopping Experiences
Ecommerce companies are using generative AI to analyze customer buying behavior and preferences, offering highly personalized product recommendations. This approach not only improves the user experience but also increases conversion rates and loyalty.
Virtual Shopping Assistants
E-commerce platforms are implementing AI-based virtual assistants that interact with customers, answering questions and helping them choose products, making the purchasing process more intuitive and personalized.
In the e-commerce sector, we have a very interesting case that involves Product Augmentation and Recommendation solutions. Meet.
Banking Sector
BV Bank
In collaboration with Accenture and Google Cloud, Banco BV has implemented the “GenCore” project, which uses generative AI to create hyper-personalized interactions with customers. During the trial period, the technology accelerated the creation of communications by up to 80% and increased the degree of personalization by 100 times, offering services aligned to the individual needs of customers.
BBVA
The Spanish bank has launched the conversational assistant “Blue”, developed in partnership with OpenAI. This assistant, integrated into BBVA’s mobile app, offers more than 120 functionalities, allowing customers to manage accounts and cards in a personalized and efficient way.
Commonwealth Bank
The Australian bank has embraced AI to enhance customer service, deploying intelligent chatbots that respond to queries in a personalized manner and in real time. This initiative has resulted in a significant reduction in the need for additional call center staff and improved operational efficiency.
Here at BlueMetrics, we have a success story involving the use of AI to process customer documentation for one of the largest banks in Brazil. Check it out.
Hotel Sector
The hotel booking platform has deployed AI-powered travel agents that can handle customer inquiries in a surprisingly human-like manner. These agents, trained on data from millions of recorded calls, can converse in 15 different languages, providing personalized recommendations, quoting prices, and processing payments. In their first month of operation, the AI agents handled 40,000 inquiries and processed nearly $200,000 in room reservations.
HiJiffy
The Portuguese startup uses generative AI to transform the guest experience in the hospitality industry. Its automated solutions enable hotels to offer personalized interactions in real time, answering questions, making recommendations and resolving issues efficiently, significantly improving customer satisfaction.
Hotelverse
This startup has developed a platform that allows customers to select specific rooms through digital twins, providing an immersive and personalized experience. The technology has already been adopted by major hotel chains, such as Hyatt Hotels and Radisson Hotel Group, standing out for its innovation in personalizing the guest experience.
At BlueMetrics, we serve one of the largest resort chains in Mexico. After helping them structure their data pipeline, we are now developing solutions that use all this information to provide better experiences for their guests and customers.
How about developing solutions like these for your company?
The BlueMetrics difference: expertise in complex data and AI projects
At BlueMetrics, we understand that a well-structured data foundation is essential for effective GenAI and ML solutions. Our track record proves our ability to tackle complex data and AI projects, applying proprietary methods and cutting-edge technologies to transform raw data into valuable insights and actionable intelligence.
Gabriel Casara, CGO of BlueMetrics, highlights:
“Our data expertise allows us to develop GenAI and Machine Learning solutions that go far beyond automation. We create models that truly add value to the business, personalizing experiences and optimizing operations in a scalable way.”
With over 160 projects delivered for over 70 clients in the US and Latin America, ranging from large corporations to innovative startups, our experience is broad and diverse. In addition, our practical, entrepreneurial and results-oriented approach ensures that the data, GenAI and Machine Learning solutions we develop add real value to businesses, providing fast and measurable results.
“Companies that master the use of data are the ones that will be at the forefront of the market in the coming years. Investing in GenAI and Machine Learning without a solid approach to data is like trying to build a building without a foundation. Our role at BlueMetrics is to ensure that this foundation is robust, reliable and capable of driving real results.”
GenAI and ML as drivers of business growth strategy
Investing in GenAI and Machine Learning projects is not just a matter of technological innovation, but an essential strategy for companies seeking to grow and differentiate themselves in the market. With increasing competition in several sectors, the adoption of generative AI can become a decisive factor in boosting operational efficiency, personalizing customer interactions and exploring new business opportunities.
Strategic advantages
Companies that incorporate generative AI into their operations experience benefits that go beyond traditional automation. Some of the key differentiators include:
Improving Customer Experience
GenAI enables highly personalized interactions by adapting to each user’s specific history, preferences, and needs. Advanced chatbots, virtual assistants, and hyper-personalized recommendations are examples of how AI can enhance customer relationships.
Intelligent Process Automation
Unlike conventional systems, generative AI can learn from large volumes of data and optimize workflows, reducing costs and increasing productivity. This is particularly useful in industries such as customer service, finance, marketing, and supply chain.
Custom Content Generation
Media, advertising and e-commerce companies already use AI to create personalized texts, images and videos on a large scale, ensuring greater engagement and efficiency in communication with consumers.
Data-Driven Decision Making
With insights extracted from structured and unstructured data, generative AI helps predict market trends, analyze risks and create more assertive business strategies.
Scalability and Efficiency
Well-trained AI models can handle an increasing volume of data and transactions without compromising the quality of analysis or service delivery. This allows businesses to scale without proportionally increasing their operational costs.
The Role of BlueMetrics in Digital Transformation
At BlueMetrics, we combine our data expertise with cutting-edge technology to deliver solutions that make a difference. Our projects are developed to meet the specific needs of each client, ensuring that GenAI and Machine Learning are used in the most efficient and strategic way possible.
Our commitment is to transform data into valuable insights that drive business growth, providing a real competitive advantage in the market. With an approach focused on innovation and scalability, we help companies across all sectors to adopt AI strategically, maximizing results and optimizing operations.
If your company is looking for customization, scalability and efficiency, contact us and find out how we can transform your data into a competitive advantage.
Conclusion
Personalization through generative AI represents a promising frontier for companies across a variety of industries. However, the success of these initiatives depends directly on the quality and structure of the data used. With a solid approach and experienced partners, it is possible to transform data into personalized experiences that delight customers, optimize operations, and drive business growth.
Companies that invest in the combination of GenAI, Machine Learning and data not only improve their operational efficiency, but also create new business models and position themselves at the forefront of innovation. To stand out in the digital economy, it is essential to invest in AI with a strategic and results-oriented vision – and that is exactly what we want to talk to you about.
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