As the nation moves into a strong recovery mode, we know what will drive the new American economy and enhanced incomes, productivity, and inclusion in the workforce: education.
The COVID-19 pandemic has resulted in dramatic advances in online learning and has demonstrated the value of technology, well delivered in all kinds of educational settings. Individuals can gain new skills, degrees, and certifications just as quickly as they are willing to work on them, with well-designed online education.
La inteligencia artificial (IA) ha emergido como una fuerza disruptiva en el panorama laboral, transformando la manera en que las organizaciones operan y los individuos desempeñan sus funciones. Desde la automatización de tareas rutinarias hasta la creación de nuevas oportunidades laborales, la IA nos está remodelando el futuro del trabajo de una manera sin precedentes.
Today, artificial intelligence (AI) is embedded in nearly every sector of life, from retail and government to health care, and its adoption is only expected to grow. Organizations are harnessing this technology to better serve customers, help employees with productivity, create jobs, grow their businesses, and more.
Yet, while AI promises unprecedented opportunities to benefit business and society alike, many are realizing the risks of this widespread technology. To ensure AI can deliver to its full potential, IBM is embedding ethical principles into AI applications and processes to build systems based on trust. This approach is helping organizations cut down on misuse and prepare for governmental regulations.
Los Sistemas de IA pueden aliviar a los ejecutivos de las actividades rutinarias y darles tiempo para la gestión de personal, la planificación estratégica y la gestión del cambio en la era de la IA. Sin embargo, la automatización de las tareas de gestión apoyada por IA plantea cuestiones de protección de datos y legislación laboral, así como cuestiones organizativas y, por lo tanto, puede inquietar a los empleados. Las personas siempre deben ser el centro de atención, es más, deben ser el origen de las cosas que queremos que sucedan.
Labor market conditions for recent college graduates cooled somewhat at the end of 2023 but generally remained solid. While the unemployment rate rose to 4.8%, the underemployment rate was little changed at 40.3%, remaining below its pre-pandemic level.
This web feature tracks employment data for recent college graduates since 1990, allowing for a historical perspective on the experience of those moving into the labor market.
The interactive charts allow users to:
compare the unemployment rate for recent college graduates with that of other groups
monitor the underemployment rate of recent college graduates
gauge the earnings of recent college graduates against workers holding only a high school diploma
Edumorfosis's insight:
Un estudio reciente publicado en el American Educational Research Association Journal encontró que las carreras de Ingeniería y Cias. de Cómputos, proporcionan los mayores rendimientos en ganancias de por vida, seguidas por las carreras de Negocios, Cias. de la Salud, Matemáticas y Ciencias. Las carreras de Educación, Humanidades y Bellas Artes, tuvieron los rendimientos más bajos de los 10 campos de estudio consideradosen el estudio.
Many employees and managers are excited about how AI can make their work easier and more efficient. But others are concerned that AI will replace people, dampen creativity and ingenuity, make their own skills obsolete, and create workplaces that feel more machine-centric and less human.
Rather than the soulless, robotic future some people fear, I predict AI integration will demand that workplaces become even more human-centered. My latest research shows that in the AI age, employers expect to increasingly value “soft skills” that enhance human interactions and foster rich, people-centered company cultures. They anticipate that AI will work best when it enhances people’s talents and helps build human connectedness.
En los últimos avances de OpenAI, se ha develado un robot con capacidades que suman a lo increíble de esta saga de ciencia ficción que estamos viviendo, marcando un hito en la interacción y autonomía robótica.
Paralelamente, el surgimiento de la primera AGI (Inteligencia General Artificial) que funciona como Ingeniero de Software, llamada Devin, plantea interrogantes sobre la coexistencia futura con estas tecnologías avanzadas.
Analysis by the International Monetary Fund found that almost 40 percent of all global employment may be affected by AI, and in advanced economies, the figure could be as high as 60 percent. But don’t be alarmed. That doesn’t mean 40 to 60 percent of jobs will disappear altogether. Instead, it means that AI automation is likely to take away, streamline or enhance some of the tasks associated with those jobs. For the most part, then, we're talking about the augmentation of human jobs. We’re talking about humans working alongside AI tools, not being replaced by them.
If you ask the ChatGPT Artificial Intelligence (AI) system a question about its own leading role in a technological revolution, the first part of its answer is fairly unimpressive: “It’s underway and expected to have a significant impact on many sectors.” But then ChatGPT goes on to say, “Its potential is enormous, but also raises ethical concerns.” That’s the feeling shared by most tech experts.
This is a moment for reinvention. In the coming years, businesses will have an increasingly powerful array of technologies at their disposal that will open new pathways to unleash greater human potential, productivity, and creativity. Early adopters and leading businesses have kick-started a race toward a new era of value and capability. And their strategies are underpinned by one common thread – the technology is becoming more human.
It sounds counterintuitive: after all, wasn’t technology built by, and for, humans? Creating tools that expand our physical and cognitive abilities is so unique to humanity that some argue it defines us as a species.
Despite this, the tools we build are often distinctly unhuman, filling gaps by doing and being what we couldn’t, and in the process radically transforming our lives. Automobiles expanded our freedom of mobility. Cranes let us build skyscrapers and bridges. Machines helped us create, distribute, and listen to music.
Technology’s unhuman nature can also be its drawback. Extended use of hand tools can lead to arthritis. Years of looking at screens can accelerate vision problems. We have amazing navigational tools, but they still distract us from driving. Granted, there have been efforts to create tools that are more ergonomic or easier to use. But even so, time and again we see and make decisions about our lives based on what is best for a machine rather than optimizing human potential.
Now, for the first time in history, there’s strong evidence to indicate that we are reversing course—not by moving away from technology, but rather by embracing a generation of technology that is more human. Technology that is more intuitive, both in design and its very nature, demonstrates more human-like intelligence, and is easy to integrate across every aspect of our lives.
Generative AI, though still an emergent technology, has been in the headlines since OpenAI’s ChatGPT sparked a global frenzy in 2023. The technology has rapidly advanced far beyond its early, human-like capacity to enhance chat functions. It shows extensive promise across a range of use cases, including content creation, translation, image processing, and code writing. Generative AI has the potential not only to reshape key business operations, but also to shift the competitive landscape across most industries.
The technology has already started to affect various business functions, such as product innovation, supply chain logistics, and sales and customer experience. Companies are also beginning to see positive return on investment (ROI) from deployment of generative AI-powered platforms and tools.
While any assessment of the technology’s likely business impact remains more forecast than empirical, it is necessary to look beyond the inevitable hype. To examine enterprises’ technological and business needs for effective implementation of generative AI, 300 senior executives across a range of regions and industries were surveyed. Respondents were asked about the extent of their corporate rollouts, implementation plans, and the barriers to deployment. Combined with insights from an expert interview panel, this global survey sheds light on how companies may or may not be ready to tackle the challenges to effective adoption of Generative AI.
The AI era is here, and leaders across learning and talent development have a new mandate: help people and organizations rise to opportunity with speed and impact.
As AI reshapes how people learn, work, and chart their careers, L&D sits at the center of organizational agility, delivering business innovation and critical skills. This report combines survey results, LinkedIn behavioral data, and wisdom from L&D pros around the globe to help you rewrite your playbook for the future of work.
Having the right professional network can be especially helpful as you grow in your career. But, whether you’re looking for a new job, a mentor, or the right people in your field to connect with, professional networking can feel like a daunting and time-intensive task. Nobody wants to waste precious time networking with the wrong people and be ignored.
The good news is there is a way to make networking more effective and enjoyable. Think of nurturing your professional network a bit like playing pickleball. It requires patience, technique, creativity, and the right equipment. And though longtime players may not admit it, a little luck goes a long way too.
Generative AI is an utterly transformative technology that is already impacting how organizations and individuals work. But what does the future have in store for this incredible technology? Read on for my top predictions.
In fact, generating an image using a powerful AI model takes as much energy as fully charging your smartphone, according to a new study by researchers at the AI startup Hugging Face and Carnegie Mellon University. However, they found that using an AI model to generate text is significantly less energy-intensive. Creating text 1,000 times only uses as much energy as 16% of a full smartphone charge.
Oh, how the mighty have fallen. A decade ago, social media was celebrated for sparking democratic uprisings in the Arab world and beyond. Now front pages are splashed with stories of social platforms’ role in misinformation, business conspiracy, malfeasance, and risks to mental health. In a 2022 survey, Americans blamed social media for the coarsening of our political discourse, the spread of misinformation, and the increase in partisan polarization.
Today, tech’s darling is artificial intelligence. Like social media, it has the potential to change the world in many ways, some favorable to democracy. But at the same time, it has the potential to do incredible damage to society.
La carrera por la hegemonía en la era de la Inteligencia Artificial ha comenzado entre China, EE.UU. y Europa; entre consorcios tecnológicos y emprendimientos. ¿Quién llevará la delantera en una tecnología clave para el futuro de la humanidad?
El reportaje acompaña a figuras clave de la industria tecnológica, la ciencia y la política que trabajan en todo el mundo en el desarrollo de la inteligencia artificial y que tienen que tomar decisiones con amplias consecuencias en un brevísimo espacio de tiempo. ¿Cómo aprovechar el potencial de esta tecnología y al mismo tiempo evitar que desemboque en una distopía? Las posibilidades que brinda la super-infraestructura prometen ser tan ilimitadas como los riesgos existenciales que comportan: de la desinformación y manipulación electoral hasta nuevas formas de guerra y control social.
El reportaje se centra en tres empresarios cuyos emprendimientos se cuentan entre los principales actores en el campo de la inteligencia artificial generativa: Jonas Andrulis de Aleph Alpha (Alemania), Thomas Wolf de la plataforma de código abierto Hugging Face (Francia) y Han Xiao de Jina.ai (China). El director Dominik Bretsch acompaña a los tres pioneros de la inteligencia artificial desde la primavera de 2023, cuando la tecnología se convirtió por primera vez en un fenómeno de masas, hasta las turbulencias desatadas en torno a OpenAI. Para los tres se trata de capital, influencia y la supervivencia económica en un mundo trepidante e implacablemente competitivo que se transforma a un ritmo mayor que ningún otro. China se ha impuesto lograr el predominio tecnológico en todo el mundo. Exactamente lo que EE. UU. también quiere. Y Europa tiene que encontrar su propio camino entre ambas superpotencias. El que se quede atrás no obtendrá una segunda oportunidad. El reportaje ofrece una visión de un mundo, el de las tecnológicas, normalmente hermético, y muestra a las personas que trabajan en la realización de esta revolución técnica.
Skills-based practices backed by technology and data put businesses in good stead for the future of work, which demands more agility and foresight from employers. There are a number of other specific advantages for businesses. Indeed, businesses report that skills-based practices benefit them by:
Improving attraction and retention of critical skills
Enhancing workforce productivity
Improving workforce agility
Broadening career paths and furthering employee development
Instilling a culture of learning
Skills-based talent management can also provide clarity around job expectations, better align talent to changes in demand, and improve adaptability (which is particularly important given the way automation and AI are set to change jobs).
In comparison, fewer employers are implementing skills-based rewards programs. There’s an untapped opportunity here — one that comes with many potential benefits. So what might these benefits be?
La IA está transformando muchas profesiones, haciendo algunas innecesarias y creando otros empleos. Les mostramos qué habilidades los capacitan para el cambio y la labor de los trabajadores de datos en la India.
La inteligencia artificial(IA) —y, en particular, su vertiente generativa— empieza a tener impacto en la economía y en el mercado laboral, y es previsible que estos efectos vayan en aumento. Dentro del sector laboral, según varios estudios y expertos, este impacto será diferente en función de los ámbitos del mercado laboral y de los roles desarrollados. Asimismo, también tendrá efectos sobre el tipo de competencias o habilidades exigidas.
Las 10 principales tendencias tecnológicas estratégicas de Gartner para 2024 ayudarán a tu organización a crecer y protegerse y, al mismo tiempo, generar valor a medida que las expectativas de los clientes y los modelos de negocio evolucionan con la IA.
Tanto si tienes responsabilidad ejecutiva como tecnológica en la empresa, descarga este ebook y descubre:
Las principales tendencias tecnológicas: cómo afectan a los objetivos de la empresa.
Perfiles técnicos: qué son y cómo funcionan estas tecnologías.
Oportunidades: qué ventajas y resultados impulsan.
Casos prácticos: algunos ejemplos de adopción temprana.
Pasos para su implementación: planes de acción para implementarlas.
“Es la primera vez en la historia de la humanidad en la que realmente nadie sabe cómo será el mercado laboral en el año 2034”, sentenció Harari. Las investigaciones en torno al impacto de la IA y el futuro del trabajo son variadas y dispersas en opiniones.
Fueled by new AI tools and skills technology, nearly every company wants to become a “skills-based organization.” Now that we’ve had a few years to study this trend, I’d like to share some of the realities and calm some of the hype.
Let’s start with the premise: the idea promoted by whitepapers is that we’re going to create this unbiased, politics-free company where decisions are based on skills, meritocracy, and performance. Vendors promise that we’ll have a global skills database and through the marvels of Talent Intelligence (primer here) we’ll be able to see trending skills, gaps in skills, and become more scientific about hiring, promotion, pay, and leadership.
We now have generative AI tools that can see, hear, speak, read, write, or create. Increasingly, generative AIs will be able to do many of these things at once – such as being able to create text and images together. As an example, the third iteration of the text-to-image tool Dall-E is reportedly able to generate high-quality text embedded in its images, putting it ahead of rival image-generator tools. Then there was the 2023 announcement that ChatGPT can now see, hear, and speak, as well as write.
So, one of my predictions is that generative AIs will continue this move towards multi-modal AIs that can create in multiple ways – and in real-time, just like the human brain.
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