Devoogle tiene indexados actualmente 14562 recursos relacionados con el desarrollo de software.

**Title: ** Agile integration with containers in the hybrid cloud. Do you think that integration means enterprise service bus (ESB), monoliths, rigid architectures incompatible with the cloud? In this talk we want to show you a different approach to integration using agile open source technologies that will allow you to connect easily applications and systems in the hybrid cloud. Per restare aggiornato su tutti gli #AperiTech: Telegram #AperiTech Calendario del Developer Codemotion Tech Community
E' possibile una collaborazione tra organizzazioni agili e tradizionali? Siamo all’interno di un’organizzazione complessa. Partendo dai quattro valori del Manifesto, quali sono le pratiche e gli strumenti che ci caratterizzano come una realtà Agile? E cosa succede poi, quando ci capita di lavorare su un progetto critico con un’altra organizzazione che Agile non è? Vogliamo condividere pratiche e strumenti che i nostri Team usano quotidianamente e che permettono di definirci un’organizzazione Agile. E vi raccontiamo di una recente collaborazione con un'organizzazione che lavora in maniera diversa dalla nostra, e di come abbiamo adattato di conseguenza le nostre pratiche ed i nostri strumenti. ✨** Gli speaker** Riccardo Romualdo Lavoro nell'Information Technology da quasi 20 anni, prevalentemente nel settore assicurativo ed attualmente in quello dei viaggi. Durante il mio percorso ho ricoperto il ruolo di Developer, Team Leader, Product Owner. Attualmente collaboro con I Team di Sviluppo come Scrum Master in (un marchio Expedia Group). LinkedIn: Giorgio Delle Grottaglie Lavoro in (un marchio Expedia Group) ed ho speso gran parte della mia carriera in aziende di E-Commerce in veste di Software Engineer, di Team Leader ed attualmente di Scrum Master. Collaboro con Team di sviluppo collocati e distribuiti, mi occupo di promuovere la cultura aziendale Expedia Group e sono un appassionato e sostenitore di Software Open Source. LinkedIn: Per restare aggiornato su tutti gli #AperiTech: Telegram #AperiTech Calendario del Developer Codemotion Tech Community
Con el tiempo vamos evolucionando y cambiando de intereses, en esta entrevista hablamos con Roberto Canales de su visión personal, sus comienzos, cómo se evoluciona con el paso del tiempo y los aspectos socio-culturales de los estudios y profesiones tecnológicas. #CompartimosExperiencias #TenMinutesTalks #Negocio Síguenos en nuestras redes para estar al día de las novedades: - Twitter: - Instagram: - LinkedIn: - Facebook:
This talk examines business perspectives about the Ray Project from RISELab, hailed as a successor to Apache Spark. Ray is a simple-to-use open source library in Python or Java, which provides multiple patterns for distributed systems: mix and match as needed for a given business use case – without tight coupling of applications with underlying frameworks. Warning: this talk may change the way your organization approaches AI. #BIGTH20 #RayProject Session presented at Big Things Conference 2020 by Paco Nathan, Managing Partner at Derwen 16th November 2020 Home Edition
¡ Introducción a los juegos con Python #pyjuegosalicante ! Esta vez os traemos una MeetUp donde explicaremos la teoría para hacer un videojuego, y con ejemplos de código en Python Arcade! Además, tendremos Mesa Redonda donde hablaremos de diversos temas relacionados con los videojuegos y como entrar a esta industria. Y el sábado tendremos un taller para realizar un juego con Python Arcade. No te lo pierdas!
¿Estás en proceso de fichar a los programadores que necesita tu startup? 🚀 Como sabes, los últimos jueves de mes dedicamos la temática a #EmployerBranding, así que... ¡Vamos a ayudarte! 😉 En esta sesión de #MeetupsGeeksHubs hablaremos de factores a tener en cuenta a la hora de fichar perfiles técnicos en startups en primeras fases de desarrollo, con tips sobre el análisis de necesidades y situación del mercado actual. Para ello contaremos con Jonathan Hazout, Manager de Tech Recruitment y José Sarrión, Talent Advisor, del equipo de GeeksHubs.   Comenta en twitter con el hashtag #MeetupsGeeksHubs. ¡Llega el Black Friday más Geek! ⚫🔥 🎥 Suscríbete: 🐦 Twitter GeeksHubs: 🐦 Twitter GeeksHubs Academy: 📸 Instagram: ℹ️ LinkedIn GeeksHubs: ℹ️ LinkedIn GeeksHubs Academy: 🟦 Facebook: 📕 Plataforma online +30 cursos gratuitos:
As our everyday life becomes more and more digital, and as the disruptive shift that this year has brought into our way of life makes us more and more dependent on digital services that now cover critical needs we can’t address in person, one thing becomes clear: we do not accept waiting online any more. This comes as an immense challenge for companies that rely in hours long, if not days long, digital processes. Making them last seconds seems magic. But there are already pioneers proving that providing real time digital services is possible. The fast followers that are able to build their own real time digital platform will survive. The rest will see their clients go away. The race for time is on. #BIGTH20 #AI #Cloud #DataScience #BigData #MachineLearning Session presented at Big Things Conference 2020 by José Ruiz (Director of Business Development at Paradigma Digital) and Rubén Gil Gómez (Technical Director at Paradigma Digital Barcelona). 18th November 2020 Home Edition Do you want to know more?
Observing the evolution of the economy in real-time and high definition can be essential when evaluating the economic impact of an event with few precedents in the world economy like the current Covid19 crisis. Although it is not the first or the last time we are faced with a disaster, expected or unexpected, the characteristics of this one make it almost unique. That is why an accurate diagnosis of “what, how, when and where” is quite important. The analysis of granular data in real time with Big Data helps us precisely to solve most of these questions and, consequently, allows economic agents, institutions and policymakers to have quick and precise answers for decision making. Every day, banks, payments systems providers, and other financial intermediaries record and store massive amounts of individual transaction records arising from the normal course of economic life. Financial and payments systems throughout the world generate a vast amount of naturally occurring, and digitally recorded, transaction data, but national statistical agencies mainly rely on surveys of much smaller scale for constructing official economic series. This paper considers data transactions from credit- and debit card data from BBVA, the second largest bank in Spain and also with a major market presence in numerous other countries, as an alternative source of information for measuring consumption, a key component of GDP. Particularly, we process more than 6 billion transactions collected from BBVA cardholders and BBVA-operated point-of-sale terminals from seven countries, 2.1 billion of which arise in Spain. We analyze the data along three different dimensions: as a coincident indicator for aggregate and subnational consumption; as a detailed household consumption survey; and as a mobility index. While card spending growth is more volatile than non-durable consumption growth, normalized spending correlates strongly with official consumption measures. In the cross section, patterns in card spending match those in official household budget surveys very closely. The implication is that card spending can stand in for consumption surveys in environments where official data is not available, for example due to reporting delays or to insufficient geographic or household detail. We apply the idea of card spending as a consumption survey to the COVID-19 crisis in Spain, where we present four findings: (1) a strong consumption reaction to lockdown and its easing at the national and regional levels; (2) a rapid, V-shaped consumption recovery in the aggregate; (3) an adjustment to the average consumption basket during lockdown towards the goods basket of low-income households; (4) a divergence in mobility patterns during lockdown according to income in which poorer households travel more during the workweek. Exploring the relation between mobility and disease incidence, we show that in the absense of direct mobility proxies, card transactions in transportation categories can be used as a mobility proxy at narrow geographical and socioeconomic status levels of analysis. Therefore, our main conclusion is that transaction data provides high-quality information about household consumption, which makes it a potentially important input into national statistics and research on household consumption, as well as for the business and policymakers, to have rapid and accurate responses about what is happening in real time and measure the impact of COVID-19 and the policy interventions made to limit its spread. #BIGTH20 #AI #Cloud #DataScience #BigData #MachineLearning Session presented at Big Things Conference 2020 by Tomasa Rodrigo, Lead Economist Advanced Analytics Research at BBVA Research 18th November 2020 Home Edition Do you want to know more?
Price optimization is a complex task, especially for a two-sided marketplace where maintaining the balance between demand and supply is key for the health of the business. In the case of Cabify, deviations from such equilibrium can be harmful in several ways. Increasing prices too much will dissuade users from requesting rides, but by lowering them we may over-burden our fleet or in the worst case even lose the drivers’ interest in favor of more profitable competitors. At Cabify, we have teams of experts that analyze the market and make calls on what are the best prices for each city based on their intuition and knowledge of the local particularities. #BIGTH20 #AI #Cloud #DataScience #BigData #MachineLearning Session presented at Big Things Conference 2020 by Toni Prada, Senior Data Scientist at Cabify. 16th November 2020 Home Edition Do you want to know more?
The problem shared by both Machine Learning and Deep Learning algorithms is that they are oriented to the search for patterns based on linear and / or non-linear correlations. In this search, they do not take into account the study of the presence of causal relationships. At this point, we must remember the famous phrase that the existence of correlation does not imply that there is causality. The weaknesses of Machine Learning or Deep Learning models when making predictions about situations that are far from the distribution of the data with which they were trained can begin to be explained when the absence of a causality study is taken into account. Some examples of this situation can be found when deploying these models in open environments, as is the case with autonomous driving or speech recognition systems. #BIGTH20 #AI #DeepLearning #TechForGood Session presented at Big Things Conference 2020 by Rubén Martínez, Data Scientist / AI Researcher at Datahack 16th November 2020 Home Edition Do you want to know more?