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Successful transformations harness the collective wisdom of middle managers and teams. To increase your company’s chances, you need to: 1) Enlist your very best middle managers. Transforming a business demands a blend of creativity and ingenuity. By setting this challenge you can also test and nurture the next generation of leaders. 2) Empower the middle to sponsor transformative changes. It’s imperative to actively encourage middle managers to bring forth innovative ideas and to provide adequate support when these managers propose significant changes. 3) Reward bold action and results. Successful transformation demands a fundamental reexamination of every aspect of a business to achieve breakthrough results. To achieve this, rewards must reinforce this need for wholesale change.
Los datos de nuestra encuesta muestran el creciente optimismo y la confianza en la IA. Al profundizar en las tendencias de inversión, observamos que las empresas están recalibrando sus carteras de inversión y priorizando el edge computing y las nubes públicas y privadas. Cabe destacar que las empresas están volviendo a enfocar sus presupuestos en la modernización de aplicaciones y la migración a la nube, al tiempo que reducen las inversiones en infraestructura de servidores y hardware.
En 2024, las expectativas y la realidad convergen para la IA. Aunque la IA ha acelerado considerablemente la innovación y ha mejorado los procesos de toma de decisiones, no siempre los aumentos de productividad y de ventas previstos se materializaron. Nuestra investigación explora la tracción de los casos de uso de la IA, los desafíos para medir el retorno de la inversión (ROI) y el incipiente pero crítico dominio de la gobernanza de la IA.
En el uso de la nube, un cambio hacia la infraestructura de nube privada es claro, mientras que las organizaciones lidian con las complejidades de la migración a la nube, los recursos limitados y las preocupaciones relacionadas con la seguridad. Un análisis comparativo del ROI de las nubes privadas frente a las públicas revela una creciente inclinación hacia las soluciones de nube híbrida. Combinan la escalabilidad y la rentabilidad de las nubes públicas con la seguridad y el control optimizados de las nubes privadas, al ofrecer un enfoque flexible y mejorado para satisfacer diversas necesidades comerciales.
La escasez de talento presenta su propio conjunto de desafíos, en particular en los sectores de IA y tecnología. Las organizaciones se enfrentan a las dificultades de contratar profesionales con experiencia en un mercado en el que la demanda supera a
la experiencia. Este informe explora estrategias para abordar estas deficiencias, y hace hincapié en la importancia de la mejora de habilidades y las opciones tecnológicas inteligentes para ampliar la reserva de talento.
Via Edumorfosis
There is a war going on. Humanity and nature are on one side and Big Tech is on the other. The two sides are not opposed. They are orthogonal. The human side is horizontal and the Big Tech side is vertical.*
The human side is personal, social, self-governed, heterarchical, open, and grounded in the physical world. Its model is nature, and the cooperative contexts in which competition, creation, and destruction happen in the natural world.
The Big Tech side is corporate, industrial, hierarchical, competitive, mechanistic, extractive, and closed, even though it produces many positive-sum products and services that are good for people and good for nature. It is also, being competitive and rewarding toward winner-take-most outcomes, dominated by giants.
Via Edumorfosis
Por David Lancefield
Los líderes empresariales suelen tener la tentación de centrarse en la estrategia por encima de la cultura, pero las empresas más fuertes adoptan cuatro medidas clave que ofrecen lo mejor de ambas.Ponte en contactoAhmed Galal Ismail quedó impresionado por el nivel de compromiso de los empleados en Majid al Futtaim Properties, propietaria del Mall of the Emirates - un enorme complejo comercial en Dubái que incluso cuenta con una pista de esquí cubierta - cuando comenzó como director general a finales de 2018. Y tenía grandes planes. Ismail quería construir una empresa que ofreciera experiencias extraordinarias a los clientes utilizando sus propiedades físicas y plataformas digitales. Necesitaba personas que tuvieran la capacidad de anticiparse a las expectativas de los clientes, en lugar de sentarse a esperar a que estos participaran.
Via Juan Carlos Valda
In practice, Generative AI tools use different strategies for different types of data when building large data models—the complex neural networks that organize vast amounts of information. For example, those that draw on textual sources segregate individual tokens, usually words. Each token is assigned an “embedding” or “vector”: a numerical matrix representing how and where the token is used compared to others. Collectively, the vector creates a mathematical representation of the token’s meaning. An image model, on the other hand, might use pixels as its tokens for embedding, and an audio one sound frequencies. A multimodal AI model typically relies on several unimodal ones. As Henry Ajder, founder of AI consultancy Latent Space, puts it, this involves “almost stringing together” the various contributing models. Doing so involves various techniques to align the elements of each unimodal model, in a process called fusion. For example, the word “tree”, an image of an oak tree, and audio in the form of rustling leaves might be fused in this way. This allows the model to create a multifaceted description of reality.
Via Edumorfosis
The evolution of the digital technology ecosystem is driving economic and societal changes, with the Information and Communication Technology (ICT) sector at its core proving dynamic and resilient in the face of economic headwinds. As digital technologies like artificial intelligence, virtual reality and next generation networks permeate our lives and the economy, it is critical to unleash innovation responsibly, ensure that the benefits of these technologies are widely shared, and reduce the risks technological advances can pose to well-being and society.
Via Edumorfosis
"Si no puedes medirlo, no puedes gestionarlo" (Peter Drucker) Medir datos en gestión de personas es difícil. Como es difícil, me da pereza hacerlo. Como me da
Via Juan Carlos Valda
This chart shows the occupations expected to see the largest drop in employment levels in the United States between 2022 and 2032.
Via James Schreier
El descanso y la creatividad están mucho más relacionados de lo que crees porque te puede ayudar a ser mejor profesional. Descubre más.
Via Mariano Ramos Mejia
Por Isabel Carrasco González Jorge Tamayo, Leila Doumi, Sagar Goel, Orsolia Kovács – Ondrejkovic y Raffaella Sadun en la edición de septiembre – octubre de Harvard Business Review plantean que en l…
Via Mariano Ramos Mejia
El equilibrio entre IA y creatividad humana en la nueva era de la publicidad. ¡Puedes leer el artículo completo aquí!
Via Mariano Ramos Mejia
Por: Eduardo Kastika – @EduardoKastika Un equipo es un sistema. Una fábrica, también.Un bosque, diez chicos jugando a la mancha-puente, el aparato digestivo, un panal de abejas, un club, una célul…...
Via Mariano Ramos Mejia
The data is in: 2024 is the year AI at work gets real. Use of Generative AI has nearly doubled in the last six months,1 with 75% of global knowledge workers using it. And employees, struggling under the pace and volume of work, are bringing their own AI to work. While leaders agree AI is a business imperative, many believe their organization lacks a plan and vision to go from individual impact to applying AI to drive the bottom line. The pressure to show immediate ROI is making leaders inert, even in the face of AI inevitability.
We’ve come to the hard part of any tech disruption: moving past experimentation to business transformation. Just as we saw with the advent of the internet or the PC, business transformation comes with broad adoption. Organizations that apply AI to drive growth, manage costs, and deliver greater value to customers will pull ahead.
At the same time, the labor market is set to shift again—with AI playing a major role. Despite fears of job loss, leaders report a talent shortage for key roles. And as more employees eye a career move, managers say AI aptitude could rival experience. For many employees, AI will raise the bar but break the career ceiling.
To help leaders and organizations overcome AI inertia, Microsoft and LinkedIn looked at how AI will reshape work and the labor market broadly, surveying 31,000 people across 31 countries, identifying labor and hiring trends from LinkedIn, and analyzing trillions of Microsoft 365 productivity signals as well as research with Fortune 500 customers. The data points to insights every leader and professional needs to know—and actions they can take—when it comes to AI’s implications for work.
Via Edumorfosis
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As organizations increasingly integrate spatial computing into their technology roadmaps, helping workplace learners successfully navigate the evolution from primarily physical to virtual or hybrid working environments is becoming a strategic imperative for many organizations. Understanding how early adopters are using spatial computing can assist workplace learning practitioners as they consider the integration of these technologies into their future-of-work strategies and plans.
This article describes the evolving spatial computing adoption landscape across multiple industries, sectors and business functions and provides key insights into the benefits of spatial computing capabilities to organizations. It also offers practical strategies for leaders who are considering exploring these technologies as well as those who have already begun experimentation.
Via Edumorfosis
Por Soulaima Gourani
En la 54ª Reunión Anual del Foro Económico Mundial (celebrado del 15 al 19 de enero de este año), los líderes mundiales se reunieron para restablecer la confianza, generar nuevas ideas y crear alianzas para promover soluciones a los desafíos a los que nos enfrentamos. Desde la inteligencia artificial hasta el cambio climático y el crecimiento global, los líderes debatieron sobre cómo la cooperación puede ayudar a avanzar en los retos a los que nos enfrentamos hoy y en el futuro.El tiempo reclama una nueva clase de líderes: aquellos que no sólo sean expertos en tecnología, éticamente responsables, con mentalidad empresarial, con conciencia sistémica y socialmente influyentes, sino también con capacidad de adaptación y excepcionales a la hora de restablecer y fomentar la confianza.
AI systems are already capable of deceiving humans. Deception is the systematic inducement of false beliefs in others to accomplish some outcome other than the truth. Large language models and other AI systems have already learned, from their training, the ability to deceive via techniques such as manipulation, sycophancy, and cheating the safety test. AI’s increasing capabilities at deception pose serious risks, ranging from short-term risks, such as fraud and election tampering, to long-term risks, such as losing control of AI systems. Proactive solutions are needed, such as regulatory frameworks to assess AI deception risks, laws requiring transparency about AI interactions, and further research into detecting and preventing AI deception. Proactively addressing the problem of AI deception is crucial to ensure that AI acts as a beneficial technology that augments rather than destabilizes human knowledge, discourse, and institutions.
Via Edumorfosis
There are five key aspects to a strong retention strategy that organizations must focus on to ensure the top talent sticks around.
Via James Schreier
The emergence of publicly accessible artificial intelligence (AI) large language models such as ChatGPT has given rise to global conversations on the implications of AI capabilities. Emergent research on AI has challenged the assumption that creative potential is a uniquely human trait thus, there seems to be a disconnect between human perception versus what AI is objectively capable of creating. Here, we aimed to assess the creative potential of humans in comparison to AI. In the present study, human participants (N = 151) and GPT-4 provided responses for the Alternative Uses Task, Consequences Task, and Divergent Associations Task. We found that AI was robustly more creative along each divergent thinking measurement in comparison to the human counterparts. Specifically, when controlling for fluency of responses, AI was more original and elaborate. The present findings suggest that the current state of AI language models demonstrate higher creative potential than human respondents.
Via Edumorfosis
La inteligencia es nuestro recurso principal y la fuente de toda actividad humana. No hay mayor prioridad que la inteligencia porque solo podemos conseguir nuestros objetivos si contamos con ella en suficiente cantidad. De hecho, TODO lo que haces, eres y tienes se lo debes a la inteligencia, la tuya, pero también de la de muchos otros. Los más inteligentes siempre tienen ventajas. Por eso, todos queremos más inteligencia. No tengo duda de que la inteligencia ya es el commodity más demandado porque sostiene la ventaja competitiva de cualquier organización o persona. Y la IA nos va a permitir que la inteligencia sea más barata y por tanto se masifique. Todo objeto se volverá inteligente porque incluirá software, no solo para hacer cosas sino para aprender de lo que hace y ofrecerte recomendaciones.
Via Edumorfosis
por Martín Ayala Continuando con el tema productividad hoy quiero presentarte tres principios que complementan las notas que presenté anteriormente.Los mismos van a ayudarte a reflexionar sobre tu…...
Via Mariano Ramos Mejia
por Roque Rabechini Los gerentes que no toman en cuenta datos ni metodologías para tomar decisiones importantes, ponen en riesgo la rentabilidad y la imagen de sus empresas ante un posible fracaso.…...
Via Mariano Ramos Mejia
There’s always something sitting between people and the world around them. Whether it’s a tool, a story, a brand, or a person, external factors influence what they think, how they interact, and the way they feel as they move through life.
These trends explore the evolution of these factors—because it’s putting society into a state of flux. People are now deconstructing everything as they try to figure out who they are in the world.
New intelligence layers are emerging in digital interactions, while people are examining the consequences of past experiences. The harmony between people, technology and business is showing tensions.
Accenture Life Trends identify and explore the various factors we expect will change the way people experience and interact with brands, organizations, governments and systems in the coming year and beyond.
Via Edumorfosis
Por Ricard LLoria
Generalmente, las personas que son negociadores y mediadores de conflictos son extremadamente hábiles, que nos parecen tener superpoderes que permiten navegar en conversaciones difíciles. Las estrategias y tácticas que utilizan son accesibles para todos. Al dominar estas tres técnicas clave que los negociadores y mediadores utilizan en las negociaciones y la resolución de conflictos, nos pueden ayudar a estar mejor equipados para dirigir nuestra próxima conversación difícil, ya sea en un contexto personal o profesional.Años atrás, hablamos de las 12 leyes o reglas de la negociación, y el arte que este representa, también hablamos 10 puntos que podríamos tener en cuenta cuando empezamos una negociación entre varias partes, si tenemos los objetivos claros en mente que entramos en el proceso de negociación y no perdemos de vista cuáles son.
Una consultora en administración estratégica global dice que uno de cada 16 empleados deberá cambiar de ocupación para 2030.Lo que representa a más de 100 millones de trabajadores de China, Franci…...
Via Mariano Ramos Mejia
The data is in: 2024 is the year AI at work gets real. Use of generative AI at work has nearly doubled in the past six months. LinkedIn is seeing a significant increase in professionals adding AI skills to their profiles, and most leaders say they wouldn’t hire someone without AI skills. But with many leaders worried their company lacks an AI vision, and employees bringing their own AI tools to work, leaders have reached the hard part of any tech disruption: moving from experimentation to tangible business impact.
Via Edumorfosis
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