En un mundo donde la inteligencia artificial (IA) está transformando rápidamente la manera en que operan las compañías y la sociedad en su conjunto, la regulación se ha convertido en un tema central de debate. Esta tecnología ha pasado de ser una simple herramienta para resolver problemas específicos para convertirse
A recent SAS survey revealed that 80% of business leaders are anxious about GenAI's data privacy and security implications Owing to these and other concerns, Wells Fargo Chief Data Officer Brian Gibbons and an esteemed panel of AI experts, hosted by Wells Fargo Technology Banking, addressed an audience of the
La industria aseguradora lleva años apoyándose en la Inteligencia Artificial (IA), concretamente en el procesamiento del lenguaje natural (NLP), para automatizar sus procesos más complejos y mejorar así su eficiencia. Sin embargo, con la llegada de la IA generativa y los grandes modelos de lenguaje (LLM) se ha acelerado la
Artículo escrito por Violeta Gállego y Oscar Saavedra La inteligencia artificial en los agentes permitirá descubrir una visión de agentes 360 que nunca antes habíamos imaginado. ¿Qué es el agente 360 ? Es un conjunto de iniciativas que permiten identificar los agentes con mayor rendimiento y asegurar su retención. Además, permite optimizar las
Durante la última década, la inteligencia artificial ha evolucionado para dar respuesta a la necesidad de gestionar volúmenes ingentes de datos que no paran de aumentar. Ahora, se ha convertido en una herramienta imprescindible para las empresas. De hecho, según nuestro estudio ‘Resiliency Rules’, el 92% de los directivos españoles
We hear a lot about responsible AI or AI ethics in the marketplace today. At SAS, we believe there should be a larger conversation about responsible innovation. In reality, the decisions made by AI are the outcome of algorithms, data and business processes. This means ethical considerations must be applied
I have just completed an MSc in artificial intelligence and have been reflecting on my key takeaways from this experience. Study and learning like that is intrinsically interesting. And all the more so when everyone around you talks about analytics and artificial intelligence. Many would argue that it is worth
With the steep rise of artificial intelligence (AI) adoption across all facets of society, ethics is proving to be the new frontier of technology. Public awareness, press scrutiny and upcoming regulations are forcing organizations and the data science community to consider the ethical implications of using AI. The need for
Le développement de l’intelligence artificielle dans les différents secteurs d’activité fait de plus en plus l'objet d'une surveillance accrue en raison de l’aptitude des algorithmes à amplifier les bonnes et les mauvaises décisions. En parallèle, les discussions sur l'éthique (règles de conduite reflétant nos croyances sur ce qui est juste
La Inteligencia Artificial conquista nuevos ámbitos de nuestra vida y está cada vez más presente en nuestro día a día, ya sea en las sugerencias de productos o contenidos que consumimos, en asistentes digitales que nos facilitan tareas o incluso en el diagnóstico precoz de enfermedades. Pero, al mismo ritmo
Artificial intelligence (AI) is one of the most popular topics in the tech industry, along with IoT, cloud and blockchain, to mention just a few. Although it is a very promising technology, it is also connected with very high expectations, quite often beyond the capabilities that AI provides today. As
According to the Forbes and SAS panel of experts, the biggest technological revolution in humankind’s history is happening right now. To be a part of it, companies need to build their own sets of ethical artificial intelligence principles. Tackling the ethical issues is the key to successfully harnessing the incredible
Artificial intelligence undoubtedly remains a key trend when it comes to picking the technologies that will change how we live, work and play in the near future. As always, with great power comes great responsibility. There are many benefits that AI solutions bring to the world. But poor design or
A key component to make sure that we develop responsible AI is diversity. This is because an AI application reflects and even amplifies the biases of its developers. As I discussed in my previous post, a diverse team will see things from many different points of view and help to
Artificial intelligence is a powerful force for good and an extraordinary competitive advantage. But, as Peter Parker’s uncle Ben nicely put it, "With great power comes great responsibility.” Or as my friend the Swedish character Pippi Longstocking says, “If you are very strong you must also be very kind!” They
If the digital trust felt by citizens has contributed to the success of many test and trace programmes, the upcoming AI legislation will likely help entrench this trend in the realm of AI.
Organisations also need to ensure diversity when developing assets—those diverse teams that I mentioned before.
Artificial intelligence evokes high hopes. It can streamline processes, improve quality and eliminate the potential for human error. Along with the hopes come the fears, however. Is AI a threat to humanity? Whom will it replace, if anyone? How can we deploy it ethically? We spoke to the SAS Head
In conversation with Sophie Achermann, co-founder of the platform www.StophateSpeech.ch.
Last summer, I joined a growing trend: I took an online course on machine learning algorithms run by Stanford University.
Mathematics and artificial intelligence (AI) are natural partners. I can only apologise to anyone who hated maths at school for this statement, but to my mind, it’s impossible to engage with AI without understanding some maths. One commentator summed it up: “A person working in the field of AI who
“We are at the cusp of one of the most exciting times in our lives and, if we get our strategy for AI right, then the UK will be able to reap the rewards for our economy for decades to come.” Greg Clark - Secretary of State for Business, Energy
