Public date: 2010-04-30

Public date: 2010-04-30

Public date: 2010-04-30

Public date: 2010-04-30

Ramón Oliver me llamó para hablar sobre la nueva dimensión del trabajo en equipo a partir del uso de herramientas de colaboración en la red, y hoy me cita en su artículo en El País titulado “Trabajar en equipo en la era digital” (pdf). Soy un absoluto convencido de que el nivel de uso de ese tipo …

Music by Paco Reth / Lyrics & Female Vocals by Marye Hashe

En su momento lo comentamos: el fenómeno Second Life era mucho más que un videojuego, y mucho más que una moda sobrecalentada como fenómeno de marketing buzz. Ahora, dos compañías del ámbito de la tecnología, Sun e IBM, nos lo demuestran con aplicaciones netamente empresariales destinadas a la comunicación y coordinación entre su muy diversa y desperdigada plantilla.

La semana pasada mantuve una larga conversación telefónica sobre redes sociales y su uso en las empresas con Tamara Vázquez, que ayer publicó con Ángela Méndez un artículo en Expansión & Empleo titulado “Bienvenidos a la era de la colaboración” (pdf), en el que hace algunas referencias a esa charla. Alfonso Alcántara, que también fue entrevistado por Tamara, publica sus impresiones sobre el artículo en su blog.

A monographic series of seven articles published by Jose Cordovilla on LinkedIn between October and November 2019, about the ascent and debacle of public-private partnerships (PPPs) in infrastructure. PPPs should in theory, bring additional resources, efficiency and long-term value creation into the arduous task of satisfying the growing demand for public infrastructure and services. In practice, however, the expected benefits often do not materialize and the management of model is complex, misunderstood and sometimes badly planned, hardly managed or even failed, as evidenced by the facts and figures about infrastructure PPPs in recent years. The series of seven articles is to: - Review the history and fundamentals of PPPs; - Analyze the main arguments that justify the adoption of traditional PPP models: financing, efficiency and long-term value; - Review how these arguments actually perform, looking at the dynamics that determine the outcome of PPPs in real life; and - Share some ideas and reflections about principles of good governance in public-private infrastructure collaboration.

ALTRAN Spain is a company belonging to the Altran Group. Specialized in engineering services and R&D (ER&D), it offers to its clients a new way of innovating by developing the products and services of tomorrow. ALTRAN works with its clients in every part of the value chain of projects, from conceptualization to industrialization. For more than thirty years, the group has provided its experience to key players in industries such as aerospace, automotive, defense, energy, finance, health sciences, rail and telecommunications, among others. In 2019, ALTRAN Spain generated revenues of more than 260 million euros, with a workforce of more than 4,500 employees. In this emergency situation, Artificial Intelligence has shown its potential both for the fast diagnosis of the disease (eg.:, comparative analysis of radiographs or tomographies, chatbots for self-diagnosis), protecting the population (eg.:, analysis of thermal images), understanding the extent of the disease (eg.: big data to analyze population movements) or strengthen the public health system (eg.: predictive models to estimate the probability of survival or admission and length of stay in the ICU, as well as the effectiveness of the different treatments). However, it has also shown some shortcomings related to the availability of the data necessary for AI algorithms to be trained, the necessary protection of the privacy of patients and their personal data, the need to establish agile mechanisms to promote public / private collaboration both national and international or the visibility of the mechanisms used by the learning algorithms to deliver their results. In this context, we propose the development of a Federated and Interpretable Multipurpose Artificial Intelligence platform for rapid response to pandemics (AIMFIE) capable of supporting and allowing the combination of a series of learning models based on three fundamental pillars: 1. Healthcare and diagnostic support: This pillar is supported by machine vision techniques and predictive AI models. 2. Public health: This pillar is based on models to generate knowledge graphs to support, for example, semantic search engines or triage chatbots. 3. Secure and private collaboration: This pillar is based on the federated learning platform. Among the main features of this platform, the following stand out:  Federated to allow the collaboration of different organizations, overcoming the barriers imposed by the necessary protection of the patient's personal data. 6/80  Secure by incorporating mechanisms to guarantee the availability and protection of data at the local level and avoid the exchange of data between different organizations thanks to the federated model.  Reliable by adding explanatory mechanisms (XAI, eXplainable Artificial Intelligence) to offer details on the processes followed by the algorithms to offer their results, thus favoring the understanding of the disease and the confidence of clinical staff.  Extensible to allow the incorporation of new learning models.  Open to allow third parties to exploit the models supported by the platform.  Scalable to support a growing number of federated organizations. El principal objetivo del proyecto es la creación de una plataforma de servicios distribuida, abierta, escalable y extensible basada en Inteligencia Artificial multipropósito para la respuesta rápida frente a la aparición de pandemias.