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Innovation

Innovation

machine-learning

Automatic learning is a prerequisite for intelligent systems. It enables data-driven predictions and creates new business opportunities. Banking in general, and BBVA in particular, is already taking advantage of this technology in order to improve products and services for its customers.

Industry and institutions consider the Internet of things an opportunity for the present and the future that will digitize many operations and bring tremendous benefits. But it also has the ability to help combat climate change and protect the environment. This is how the Internet of Things could impact the sustainability of the planet in different areas, such as water use and energy efficiency.

Global Finance magazine has recognized BBVA as the Best Foreign Exchange (FX) Provider in Latin America for the third year in a row. The 2019 World’s Best Foreign Exchange Providers awards were presented on November 19 in London. The publication also presented BBVA awards for the best FX services in its franchises in Peru, Argentina and Spain.

Stores, restaurants and hotel chains in Spain are offering tourists from other countries the possibility of paying with their smartphones. Payments with QR codes allow companies to streamline the process and boost sales. Platforms like WeChat Pay and Alipay are central to the shopping experience of tourists from China, one of the most profitable for the country.

Google claims that its quantum computer has been able to perform a calculation in a matter of seconds, a task that would take a traditional computer thousands of years. Even though quantum processors currently only handle simple problems, they are expected to have a significant impact on the future of the pharmaceutical, manufacturing, and banking industries.

Machines’ current ability to learn is present in many aspects of everyday life. Machine learning is behind the recommendations for movies we receive on digital platforms, virtual assistants’ ability to recognize speech, or self-driving cars’ ability to see the road. But its origin as a branch of artificial intelligence dates began several decades ago. Why is this technology so important now, and what makes it so revolutionary?