Despite the immense potential of increasingly sophisticated Artificial Intelligence (AI) to boost performance, efficiency, growth, and customer experiences, not all organizations are ready to enjoy AI’s benefits.

In sectors such as healthcare, pharma, biotech, manufacturing, and finance, some organizations struggle to build the powerful, unified infrastructure they need to manage AI’s steep processing, data, and security demands of applying reliable large language models (LLMs). Most also lack the necessary expertise to build AI-driven strategy and keep pace with compliance changes.

Generative AI doesn’t exist in a vacuum. The rapid advancements we’ve seen in generative AI over the past year or so have been made possible by other tech breakthroughs. Cloud computing, for example, democratizes access to AI technologies. 5G amplifies the potential of generative AI by facilitating real-time analytics and AI processing. And the Internet of Things provides a rich source of data for generative AI models to mine.

Artificial Intelligence (AI) is rapidly transforming the workplace, with profound implications for how executives and workers navigate their career paths. As it continues to revolutionize industries, business leaders stress the urgency of acquiring AI-related skills. A staggering 87% of managers struggle to find staff with AI capabilities, while 79% of C-suite executives fear being unprepared for the future without AI knowledge. 

Throughout history, creating a complete piece of music has always been a human process. There have been attempts to compose and render songs using computers before, but frankly they weren't great.

Today, that all changes with two AI music platforms. Udio and Suno. In this episode, we'll take a look at both and talk to experts like Rick Beato to see what this means for the future of the music industry.

The OpenAI and Sam Altman saga was one of the most debated in years. And for good reason: AI and the future of the companies bringing us these tools impact us all.

Knowing the massive impact AI will have on the future of work, we set out to understand how much knowledge workers are familiar with Generative AI tools, how often they use them, and which tools are most popular.

Leaders who want their teams to focus on what matters have shifted to AI early on to offload manual, repetitive tasks that can be easily automated. How about the rest?

With the weekly drumbeat of generative AI advancements and corporate leaders signaling the need for their organizations to harness the power of AI, larger questions are emerging for these same executives to address.

In addition to the ethical challenges that AI presents for their customers, employees, and society, companies must grapple with how AI will fundamentally shift their operating model, including the workforce. Almost two-thirds (65%) of American executives believe generative AI will have a high or extremely high impact on their organization in the next three to five years, but 60% say they are still one to two years from deploying their first GenAI solution, per a recent KPMG survey.

La IA Generativa (GenAI) es un término amplio que describe cualquier tipo de inteligencia artificial (IA) capaz de producir nuevos textos, imágenes, vídeos o clips de audio. Técnicamente, este tipo de IA aprende patrones a partir de datos de entrenamiento y genera nuevos resultados únicos con las mismas propiedades estadísticas.

Los modelos de IA Generativa utilizan indicaciones para guiar la generación de contenidos y emplean el aprendizaje por transferencia para ser más competentes. Los primeros modelos de IA Generativa se crearon pensando en tipos de datos y aplicaciones específicos. Por ejemplo, DeepDream de Google se diseñó para manipular y mejorar imágenes. Puede producir efectos visuales nuevos y atractivos, pero el desarrollo del modelo se centró principalmente en el procesamiento de imágenes, y sus capacidades no se aplican a otros tipos de datos.

When it comes to artificial intelligence, what are we actually creating? Even those closest to its development are struggling to describe exactly where things are headed, says Microsoft AI CEO Mustafa Suleyman, one of the primary architects of the AI models many of us use today. He offers an honest and compelling new vision for the future of AI, proposing an unignorable metaphor — a new digital species — to focus attention on this extraordinary moment.

Today, we’re taking a major step toward our vision for a more open computing platform for the metaverse. We’re opening up the operating system that powers our Meta Quest devices to third-party hardware makers, giving developers a larger ecosystem to build for and ultimately creating more choice for consumers. This platform is the product of a decade of investment into the underlying technologies that enable mixed reality, and opening it up means a lot more people will benefit from that investment. We’re working with leading global technology companies to create a new ecosystem of mixed reality devices, and we’re making it even easier for developers to build mixed reality apps. 

Un nuevo estudio publicado por la Universidad de Stanford asegura que la inteligencia artificial ha alcanzado unos niveles de rendimiento que superan las capacidades humanas en toda una serie de tareas. Es decir, en este sentido los modelos de IA ya habrían superado a los humanos en la clasificación de imágenes hace casi 10 años.

The age of artificial intelligence (AI) is here, and it promises to reshape the workforce as we know it. This transformative technology—on par with the personal computer or the internet—is filtering into every industry and business function, fundamentally changing how companies operate. Used effectively, automation offers the prospect of greater productivity, lower costs, and new sources of competitive advantage.

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Yet, for all its promise, AI’s potential is wasted if enterprises lack the skilled talent to harness it. Business leaders understand that to stay ahead, they must view AI not just as a tool, but also as a strategic imperative. However, according to a recent survey by edX, they’re struggling to recruit AI-savvy staff—and despite recognizing a looming skills gap, companies are falling short on providing AI training. As things stand, today’s workforce is at risk of not evolving as quickly as the technology that underpins it.

The world of work is in full metamorphosis, forever changed by the seismic shifts of the past few years and accelerated by the imminent human-machine teaming revolution. Just as organizations were settling into a new normal – with a focus on hybrid working, comprehensive health and well-being, digitalization, and upskilling – Generative AI (Gen AI) burst onto the scene. Changing not only how people work but the work experience itself, Gen AI has been met with equal measures of unease and excitement. Will it produce a real productivity lift? Can the increased risk exposure be effectively managed, and is it worth it? What will be the permanent impact on the competitive landscape? These are the conversations dominating boardrooms and team chats, with one universal truth emerging: Unlocking the potential of this new world of work means keeping people at the heart of the transformation agenda.

There is no escaping the need for new ways of working and new ways to value workers. The societal dynamics emanating from the last few years (including louder calls for fair pay, better working conditions, and less environmental impact) are aggressively reshaping the work contract. Leading companies are rethinking their People practices and leveraging greater talent science to ensure a more sustainable, equitable and intuitive work experience.

The urgency is coming from all stakeholders. Two in five workers believe that the world of work is fundamentally broken and one in four wish they didn’t have to work at all. People crave the peace of mind that comes with job security and financial well-being – staples that become increasingly important during times of upheaval. Executives are also seeking solid ground, focused on keeping their business running by addressing inflation, digital acceleration, and alternative work models. Climate concerns are hitting closer to home as more frequent extreme weather events impact business continuity. Cyber risk has been bumped from its top spot in 2022, and significantly fewer executives are accounting for an overall heightened risk environment in their plans. HR remains anxious about rising labor costs, managing a remote workforce, and skills shortages. And 89% of asset managers see an engaged workforce as a key driver of company value. 

Traditional marketing approaches sometimes fall short when it comes to captivating consumers and making a lasting impression on brands.

However, virtual reality (VR) technology has just emerged, providing companies with a potent weapon that may transform their advertising strategies. Startups may make a lasting impact on their target audience by using VR's immersive and interactive nature to create fascinating experiences.

La inteligencia artificial está transformando profundamente la manera en que interactuamos con la tecnología. Se abre un paradigma nuevo en la forma de trabajar, crear y desarrollar cualquier tipo de contenido y, por lo tanto, surge la necesidad de desarrollar nuevas habilidades para trabajar con ella.

Al mismo tiempo, resulta conveniente revisar el conjunto de conocimientos y destrezas que los humanos hemos empleado hasta ahora para trabajar e identificar cuáles de ellas persisten, cuáles caducan y cuáles debemos potenciar.

Los profesionales de cuello blanco, aquellos que tienen un nivel educativo y unos salarios más altos, serán quienes se verán más afectados por la generalización de la Inteligencia Artificial generativa IAG, al contrario de lo que sucedió en anteriores revoluciones cuyas consecuencias impactaron de manera más notoria en los trabajadores sobre todo manuales, según recoge un informe de la Agencia Vasca de Innovación Innobasque.

Up to 85% of the jobs that today's college students will have in 11 years haven't been invented yet. That's according to a panel of experts assembled by the Institute for the Future, although an exact percentage is impossible to predict.

The IFTF, a nonprofit that seeks to identify emerging trends and their impacts on global society, forecasts that many of the tasks and duties of the jobs that today's young people will hold in 2030 don't exist right now.

The workplace, in particular, is in an ongoing state of evolution. For many businesses, the Covid-19 pandemic was a catalyst for massive change that’s still ongoing. And artificial intelligence – particularly the new generative AI tools – are already changing many aspects of day-to-day work across various industries and professions.

Of course, ten years is a big jump forward, and it’s hard to say anything about what life will be like by then with 100 percent certainty. But by extrapolating what’s going on today and imagining how wider societal changes could continue to impact our lives, we can take an educated guess. These are some of the trends I think could be on the agenda as we move into the second half of the next decade.

Hace unos años que la Inteligencia Artificial desembarcó en la sociedad, irrumpiendo con fuerza y con miras de hacerse un hueco en diversos sectores. Ahora es ya una realidad en muchos ámbitos, donde ha ganado especial relevancia dentro de las empresas y en su impacto económico en el PIB. El director de Microsoft España, Alberto Granados, ha explicado cuáles son los retos de las empresas y la sociedad en general en cuanto a la Inteligencia artificial, hacía donde vamos y qué estrategias y medidas hay que tomar en la actualidad.

Artificial intelligence (AI) is rapidly transforming the workplace, with profound implications for how executives and workers navigate their career paths. As it continues to revolutionize industries, business leaders stress the urgency of acquiring AI-related skills. A staggering 87% of managers struggle to find staff with AI capabilities, while 79% of C-suite executives fear being unprepared for the future without AI knowledge. 

En cuanto a los mitos y realidades, Sergio explicó que la IA en realidad no es inteligencia, porque su fin es solo la eficiencia. La eficiencia, según él, podría ser definida como «hacer más con lo mismo, o hacer lo mismo con menos». Por lo tanto, la IA no debe considerarse más que una herramienta utilizada para aumentar la eficiencia.

It’s official. After three years, the AI Act, the EU’s new sweeping AI law, jumped through its final bureaucratic hoop last week when the European Parliament voted to approve it. (You can catch up on the five main things you need to know about the AI Act with this story I wrote last year.) 

This also feels like the end of an era for me personally: I was the first reporter to get the scoop on an early draft of the AI Act in 2021, and have followed the ensuing lobbying circus closely ever since. 

In November 2022, OpenAI released ChatGPT. Less than 18 months later, the subject of generative AI dominates almost every sphere of life, public and private. Policymakers talk about it; economists talk about it; social scientists, parents, teachers, and investors talk about it.