Artificial Intelligence

Reorienting the workforce, attracting talent and improving energy infrastructure are some of the key areas the consulting firm McKinsey & Company has identified for the European Union can unleash its potential in artificial intelligence. This would allow labor productivity in Europe to increase by up to three percent annually by 2030, while reducing the gap with more competitive countries in AI, such as the United States.

Artificial Intelligence (AI) is rapidly transforming the way we interact with the world. At BBVA, the Behavioral Economics team works to leverage its potential in a safe and responsible way by improving customer experience and process efficiency. How? By shaping AI development and adoption.

After training more than 50,000 employees in data, BBVA is now busy developing a new program, this time alongside the University of Navarra and focused on the use of tools such as ChatGPT. The aim is to boost productivity by optimizing efficiency in decision-making and daily operations. The program is part of a partnership agreement to train bank employees in data science and new emerging technologies.

BBVA is the world’s thirteenth most advanced bank on account of its ongoing efforts to integrate data and AI technologies, according to the Evident AI Index. More precisely, the bank ranks first in Spain and fourth in Europe, where it is widely recognized as offering outstanding professional development opportunities for its AI specialists and for having defined a Group-wide strategy that permeates the upper echelons of the organization.

The city of Barcelona is hosting the first edition of this event in Spain, which ran from August 25 to 29. Within the broad program of activities, BBVA sponsored its Finance Day, which focused on the applications of AI and machine learning within the financial industry.

BBVA’s AI Factory, a center dedicated to developing artificial intelligence (AI) solutions, expands to Mexico and Türkiye in order to create products globally and leverage knowledge across the Group. With these new centers, BBVA aims to accelerate the adoption of AI-based solutions to improve customer experience and optimize internal processes. In addition, the bank has hired 230 AI experts, doubling the headcount of these ‘factories’ to more than 400 professionals.

Deep learning is a subset of IA within the broader concept of machine learning, so both concepts have a good deal in common, though also differences. Deep learning uses neural networks to draw complex conclusions in a human-like manner. Meanwhile, machine learning is able to make predictions from patterns, although it requires a higher level of human input.

Neural networks, natural language processing, machine learning... AI is an essential partner for BBVA to help its customers manage their savings, manage their investments, analyze their consumption and plan for their next outgoings.

Machine learning has no end of business applications. Consumers and citizens stand to benefit from this technology, which lets them manage their financial health, streamlines their digital processes, or makes their online experience smoother across multiple platforms, among other uses. A basic premise has emerged from this boom: there is nothing mysterious or magical about artificial intelligence (AI), and nor should it seem so. For more complex algorithms, data scientists develop tools to help us understand how they make their decisions.

Artificial intelligence is increasingly mainstreamed in society and used to make decisions that affect people´s lives in areas such as  their workplace or  the justice system. This presents the challenge of biased algorithms, which are mainly caused by biases or distortions in the training data. Proposals are already in place that caution against bias and seek to mitigate its harmful impact on society.

Opening imagen created with Midjourney (AI)

BBVA has taken a firm step toward the future by expanding its Data University program, which now features new courses on generative artificial intelligence (generative AI). As part of the agreement signed with OpenAI, the bank is calling on its employees, from data scientists to any other member of the team, to apply the latest advances in AI, machine learning and advanced analytics in developing innovative financial products. BBVA’s Data University has already impacted more than 50,000 employees in 6 years, of whom nearly 5,000 have completed specialized courses. BBVA is also looking to strengthen its educational ecosystem through partnerships with prestigious institutions such as the University of Navarra, Telefónica and Coursera.

BBVA has chosen Telefónica Tech to boost the cybersecurity of its operations on a global scale with the incorporation of the most advanced technologies in artificial intelligence and process automation for the prevention of cyber threats. In addition, this alliance involves the creation of a new specialised centre in Mexico, which will function as a mirror of BBVA's existing Global Cybersecurity Centre in Spain. The combination of the two will provide comprehensive and uninterrupted coverage for the entire Group.

Online courses promoted by universities, business school training and even materials offered by technology giants are some of the ways to learn to master artificial intelligence. Beyond programming, AI professionals can receive training in other areas, such as computational linguistics and ethics. Thanks to this trend, Europe currently has over 120,000 professionals who are highly qualified to work in AI.

BBVA AI Factory, BBVA's artificial intelligence hub, has been honored for the third time by Global Finance magazine as one of the leading innovation labs in the financial world. BBVA is the only Spanish bank featured in this ranking, which highlights "excellence" in creating solutions that address current challenges in the financial sector.

BBVA conducted a study in Spain and Mexico that shows that customers who use its main financial health tools save 11 percent and 20 percent more, respectively. But how did the bank ensure that they eliminated the influence of other variables when calculating this savings? To do so, the bank used two machine learning models and causal inference, a statistical methodology that detects complex cause-effect relationships.

Artificial intelligence is neither good nor bad in itself, but, as with any tool, it all depends on how you use it. In fact, in cybersecurity it has a dual role: while security teams use its capabilities to bolster defenses, cybercriminals use it to hone their attacks.

Header image generated with Midjourney (IA)

Generative artificial intelligence tools are evolving rapidly: in just two months, ChatGPT reached 100 million users. Other platforms such as TikTok took at least nine months. To grasp the potential of these applications, we first need to understand the large language models that drive them.

The emergence of tools like ChatGPT has transformed conversational interactions between humans and machines. Generative AI's ability to provide accurate and contextually relevant responses makes it particularly valuable for automated customer service environments, such as chatbots and virtual avatars.

After years at the forefront of artificial intelligence (AI)-based research and projects, BBVA has taken another big step forward in the use of generative AI in its main markets. Not only has it prioritized around 100 projects to be developed with various tools that employ this new technology, it has also signed a strategic agreement with OpenAI —the creator of ChatGPT— to start deploying this cutting-edge tool among its employees. The aim is to explore, in a safe and responsible way, how generative AI can expedite processes, improve productivity and foster innovation thanks to its abilities to create text and images and process information, among other features.

The international publication has granted two ‘Innovators Awards’ to BBVA for its crypto asset service in Switzerland and for an automated process the bank has developed to guide the creation and application of machine learning models for the early detection and management of debt.

In 2023, 63 percent of programmers introduced artificial intelligence (AI) tools to their work routine. Optimizing repetitive processes, detecting errors early and suggesting alternative code are some of the uses that have made this technology the ideal working partner for developers. This lets them focus on the more creative and complex tasks.

BBVA is looking to spot and train the best in-house talent in the use of the large language models (LLMs) that are behind the success of the likes of ChatGPT, as it drives the exploration of projects based on generative artificial intelligence. To succeed in this task, it recently organized a DataRally, a competition in which some 440 employees tested their ability in interacting with one of these models. Impressed by the positive feedback received from participants, the bank may now apply the DataRally concept to the generative AI courses it will be running as part of its Data University in-house training program.

BBVA is laying the groundwork to meet the challenge of applying generative artificial intelligence (AI) to financial services. During its in-house DataFest conference, the bank reported on how it is already developing major projects with external providers and, in parallel, has selected several use cases that will begin to be deployed throughout 2024.

Chatbots have been automating everyday customer service tasks for years: they lighten the workload for employees and help businesses save time and money. The emergence of ChatGPT, however, has widened the scope of the technology, and its potential for streamlining and maximizing business processes, beyond anything we’ve seen before. The new chatbots can even write e-mails and debug computer code. ChatGPT’s instant popularity has prompted well-known app factories to launch a flood of similar artificial intelligence tools, but the benefits it offers for a specific range of communication and analysis tasks also come with limitations in a business setting.

The bank offers its data scientists and engineers an extensive and continuous training ecosystem, both in-house and in partnershipwith top international universities and educational institutions,so that they may apply the latest advances in artificialintelligence, machine learning and advanced analytics in thedevelopment of cutting-edge financial products. In addition, italso offers training to other professional profiles so that they canuse data analytics to solve business challenges in their areas.In just 5 years, the BBVA Campus has trained more than50,000 employees, including 900 data scientists, through theData University.

The publication specialized in financial markets and investment banking has included BBVA AI Factory for the second time in its list of the best financial innovation labs in the world. The Innovators 2023 Awards also recognized the car comparison tool in Spain and the collection link for companies in Colombia as two of the outstanding innovations in the sector in the last year.

Fast Company has included BBVA AI Factory in its annual list of ‘Best Workplaces for Innovators.’ BBVA’s artificial intelligence (AI) center was ranked 40th in the world and first in the category of companies with fewer than 100 employees for fostering knowledge-sharing among employees and supporting female talent.

The emerging company will work on a technological solution to boost the development of synthetic data. They will replace real data while testing artificial intelligence models, thus protecting user privacy. Their proposal was selected by BBVA AI Factory in the framework of the University of Navarra’s SofIA startup accelerator program.