On September 29, 2020, Google launched a cohort of startups selected into the inaugural Google for Startups Accelerator: Women Founders program - a 10-week digital accelerator program for Seed to Series A technology startups based in the U.S. and Canada. The accelerator program brought the best of Google’s programs, products, people and technology to our twelve (12) startups. In addition to mentorship and technical project support, the program also focused on product design, customer acquisition and leadership development for founders. During our Google for Startups Accelerator: Women Founders - Demo Day event, you will hear from each of our founders on their impactful businesses and inspiring successes. Learn more at: https://g.co/womenfoundersaccelerator

En inglés Continuous Integration (CI) es la práctica que tiene como objetivo integrar los cambios en el repositorio central de forma periódica a través de varios procesos automatizados donde cada versión generada se comprueba mediante pruebas y tests para detectar posibles errores de forma temprana. #KnowledgePills #Back #ContinuousIntegration Descarga nuestras píldoras de conocimiento en formato ficha 👉https://lk.autentia.com/2HeLWT8 Síguenos en nuestras redes para estar al día de las novedades: - Twitter: https://goo.gl/MU5pUQ - Instagram: https://lk.autentia.com/instagram - LinkedIn: https://goo.gl/2On7Fj/ - Facebook: https://goo.gl/o8HrWX

I want to deep into the importance of using graph native algorithms and graph database technologies in the current analytical environments. They bring a high differentiating value that allows our organizations to make a big qualitative leap in our Analytics pipeline. Data Analytics is not a new discipline. We began by analyzing the past thanks to systems such as DWH and using BI tools, and we have ended up trying to foresee the future using predictive technologies and algorithms in disciplines such as machine learning or deep learning. But all these systems lack on using the relations between data. They focus on analyzing data as “table”, which contains discrete information about reality. For instance, in finance, when analyzing clients, we will surely have a table with age, salary, #children, debt level, loyalty level, … and more data that all together describe our client. But … is that enough? During last years we have learned the possibilities of the current technology for data analytics, but also its limitations. At the same time, scientists such as James H. Fowler have taught us that even personal attributes as simple as obesity degree, whether they smoke or level of happiness, are not attributes that can be understood without taking into account the connections of this person with others around them, that is, their CONTEXT. James H. Fowler, but not only him, but others like David Burkus in his book “Friend of a friend”, have taught us that the knowledge of reality, the understanding of human behavior, comes more from the analysis of relationships than from the analysis of the discrete data of each individual. This premise opened a new analytics field: GRAPHS. Social networks came first, but behind came many other use cases where graphs are a differentiating element when it comes to generating KPIs to model reality. Current systems cannot efficiently manage RELATIONSHIPS between entities. Here is where graph technology comes in, with platforms like Neo4j, which manage the relationships between data in a super-efficient way. The math behind graphs began with Leonhard Euler in the 18th century when trying to model the problem of the Bridges of Königsberg. Since then until the current technology that allows us to launch algorithms like PageRank, Dijkstra, Louvain or Centrality efficiently, there has been a great evolution. How to use it? very important: graphs do not remove the developments done with current technologies. Graphs add valuable information to this Machine Learning pipeline, for example, adding variables. We see different levels of maturity. From lowest to highest: 1. Queries: answering questions like “A customer is asking for a loan. Is there someone connected at less than 3 hops to my client who is marked as a potential fraudster?” 2. Ingesting features from native graph algorithms (Degree, Communities, Pageranks, …) 3. Graph Embeddings. Creation of features that reflect the structure of the graph within the ML pipeline. 4. Neural Networks. Using calculated embeddings, we will have the ability to associate similarities between behaviors of entities (Customers, …) thanks to the correct interpretation of the structure of relationships inherent in the graph. This technology brings value to any industry, but especially those in which the business is based on data. From digital platforms to banking, insurance, pharma, … Some use cases: • Advanced recommendation systems (of products in eCommerce, people in social networks, …) • Fraud Detection, AML, Risk, … • Cyber-Security • Customer-360, Customer Journey, MDM, … Graphs is technology to consider in any Data Analytics strategy. They have already demonstrated in multiple industries their ability to add value and improve the results of prediction models, classification, etc #BIGTH20 #AI # BigData #Cloud #DataScience #MachineLearning Session presented at Big Things Conference 2020 by JOSEP TARRUELLA CEO at Graph Everywhere 18th November 2020 Home Edition Do you want to know more? https://www.bigthingsconference.com/

En este Webinar veremos los primeros pasos de cómo podemos hacer analítica en entorno Cloud, y cómo el nuevo modelo de modernización de entornos analíticos y data warehouse se ha unido para ofrecernos un mejor servicio, desde el punto de vista de desarrollo de capacidades e incorporación de tecnologías existentes, así como nuevas posibilidades de negocio. Ponente: David Suz Pérez. David trabaja desde hace casi 20 años en Microsoft, actualmente como Partner Tecnology Strategist y anteriormente desde consultoría como Arquitecto. Se declara como “Maker empedernido” y un seguidor de nuevas tendencias para trasladarlas a la vida diaria. Ahora mismo focalizado en IoT, AI y cómo incorporarlo dentro de soluciones empresariales ayudando a Partners en su ejecución y traducción al mundo real. ¿Quieres saber más? https://www.paradigmadigital.com/ ¿Quieres saber cuáles son los próximos eventos que organizamos?: https://www.paradigmadigital.com/eventos/ Suscríbete a nuestro canal https://www.youtube.com/user/ParadigmaTe?sub_confirmation=1

Han llegado los nuevos portátiles MacBook Pro con M1 a Codely 🎉 En este directo veremos cómo hemos configurado 1 de ellos para poder programar, qué limitaciones tenemos, cuáles nos podemos saltar y cómo, y haremos unboxing del otro portátil aún en la caja 😬 🔥 ¡Último día Black Friday! Ahorra 149€ y disfruta 1 año de Codely ⮕ http://codely.tv/pro/blackfriday?utm_source=youtube&utm_medium=video&utm_campaign=black_friday-20&utm_content=macbook 🔗 Links relacionados ├ 🐙 Gestiona tus dotfiles con Dotly: https://github.com/CodelyTV/dotly └ 🔖 Curso de dotfiles: https://pro.codely.tv/library/todo-sobre-los-dotfiles/ {▶️} CodelyTV ├ 🎥 Suscríbete: https://youtube.com/c/CodelyTV?sub_confirmation=1 ├ 🐦 Twitter CodelyTV: https://twitter.com/CodelyTV ├ 👨🏻 Twitter Javi: https://twitter.com/JavierCane ├ 🌶️ Twitter Núria: https://twitter.com/nuria_codes ├ 💂🏼 Twitter Rafa: https://twitter.com/rafaoe ├ 📸 Instagram: https://instagram.com/CodelyTV ├ ℹ️ LinkedIn: https://linkedin.com/company/codelytv ├ 🟦 Facebook: https://facebook.com/CodelyTV └ 📕 Catálogo cursos: https://bit.ly/cursos-codely

🌀 Il 18 Novembre, a 3 anni dall'ultima edizione, è stata pubblicata la nuova versione della Scrum Guide. In questo webinar Massimo Sarti illustrerà le principali differenze con l'edizione precedente e quali impatti potrà avere la Scrum Guide 2020 sui Team Scrum e sugli Scrum Master (Spoiler: Scrum è ancora Scrum, solamente molto meno prescrittivo) 🌀 Questo evento é stato realizzato in collaborazione con SAM, Scrum Agile Milano, comunità di agilisti di Milano (https://www.meetup.com/Scrum-Agile-Milano-SAM/) e con Codemotion Tech Community (https://community.codemotion.com/) nell'ambito delle iniziative #AperiTech. ✨ About the speaker Massimo Sarti è un Professional Scrum Trainer per scrum.org, Accredited Kanban Trainer per la Kanban University e consulente freelance sulle pratiche lean/agile e sulla gestione di progetti/prodotti. È l'organizzatore, insieme a Noa Sevilla e Stefania Marinelli, del gruppo di meetup romano Agile Talks, la più grande comunità romana attiva per la diffusione della conoscenza su Lean e Agile. Per restare aggiornato su tutti gli #AperiTech: Telegram #AperiTech https://t.me/aperitech Calendario del Developer https://bit.ly/devcalendar Codemotion Tech Community https://bit.ly/CodemotionTC

Kepa me lanza una pregunta y se convierte en un episodio completo del podcast. ¿Qué alternativas hay después de acabar un bootcamp de programación? ¿Cómo complementar la formación al terminar? Mi respuesta no será la más sabia, tampoco la más habitual. A mi me valieron unas cosas para avanzar profesionalmente, pero hay una cosa clara: no tenía una formación intensa como la de un bootcamp. A Kepa le gustó la respuesta y desde aquí le deseo mucha suerte. También le felicito por su gran paso....

The State of No-Code Machine Learning Meetup #AperiTech della Community di ItaliaDotNet. Notebook e ML Framework sono diventati gli strumenti principali di lavoro dei Data Scientist che possono sfruttare diversi linguaggi di programmazione come R, Python, Java, C# e T-SQL. Per quanto semplici, questi strumenti impongono ai Dev una barriera, seppur piccola, di conoscenza delle tematiche legate al Machine Learning! Ecco perché oggi nascono così tanti strumenti di No-Code e AutoML che puntano a dare accesso anche a queste tecnologie di ML anche ai non addetti ai lavori! Durante la sessione, abbiamo presentato e valutato una serie di tool presenti sul mercato Google AutoML, Teachable Machine, Obviously AI, ML.Net Model Builder, Azure ML Service, etc. Un’ottima occasione per apprendere nuovi strumenti rapidi e facili che possono apportare valore al lavoro di ogni sviluppatore e alle nostre applicazioni quotidiane. Per restare aggiornato su tutti gli #AperiTech: Telegram #AperiTech https://t.me/aperitech Calendario del Developer https://bit.ly/devcalendar Codemotion Tech Community https://bit.ly/CodemotionTC

¿Qué es la Cultura del liderazgo? ¿Existen diferentes tipos de liderazgo? ¿Cómo podemos liderar eficazmente en un entorno auto-organizado? En esta entrevista charlamos con Diego Rojas que nos da respuesta a estas preguntas. Desde su punto de vista personal Diego nos explica brevemente POR QUÉ deberíamos plantearnos la cultura del liderazgo, QUÉ valores y capacidades nos pueden aportar en función del liderazgo por el que optemos y CÓMO deberíamos proceder para que el germen de la cultura del liderazgo se expanda en la organización. #CompartimosExperiencias #TenMinutesTalks #Liderazgo Síguenos en nuestras redes para estar al día de las novedades: - Twitter: https://goo.gl/MU5pUQ - Instagram: https://lk.autentia.com/instagram - LinkedIn: https://goo.gl/2On7Fj/ - Facebook: https://goo.gl/o8HrWX

2020 ha sido un año lleno de historias de startups que merecen ser contadas. Desde Google for Startups queremos dar visibilidad a cómo el ecosistema emprendedor ha evolucionado y se ha adaptado a un año lleno de retos y oportunidades. Descubre en esta charla entre Cristóbal Viedma, CEO y cofundador de Lingokids, y Bárbara Ozores, Industry Head de Google y directora interina de Google for Startups España durante 2020, cómo la tecnología ha sido una herramienta indispensable para la educación en 2020 y cómo Lingokids ha conseguido llevar la “educación en inglés” a más de 20 millones de familias en todo el mundo.