I’ve using Microsoft Team in Windows 10 and MacOS and the experience is amazing. When I was trying to work only in my Raspberry Pi 4, having a native app was something I missed a lot. I mean, Microsoft Team web version is fine, however the desktop experience is much better.
And now, Microsoft announced that there is a Linux version of Microsoft Team, so I’m trying to manage my schedule during the next couple of days to test this in Raspbian in my Raspberry Pi 4.
After attending to the Microsoft AI Tour in Argentina last November 4th, I really believe that the world is beginning to move through a new industrial revolution in which we include Artificial Intelligence as part of our management solutions. We are talking about using AI in solutions that help us manage business processes. Most applications and processes can be reinvented with AI, adopt completely new approaches to the horizontal and vertical processes of the organization, managing to elevate, maximize and bring new capabilities to our human ingenuity.
How do we apply AI to transform and manage the business processes we have in our organizations differently?
Artificial intelligence (AI) is changing the way we produce, consume, market and work. Even though there is still too much mysticism and lack of knowledge for the application of it. We may see this new era as something abstract, without really knowing the applications that…
With the massive volumes of data generated today about every aspect of a business finding deep insights from the data can be challenging. This session will introduce how to incorporate the sophisticated pre-trained machine learning models into Power BI.
AI and Cognitive Services provide powerful ways to extract actionable insights from a variety of unstructured sources like documents, images, and social media feeds through Azure Services like Sentiment Analysis, Key Phrase Extraction, Language Detection, and Image Tagging.
Getting Started with Machine Learning.Net and AutoML
Machine Learning has moved out of the lab and into production systems. Understanding how to work with this technology is one of the essential skills for developers today. In this session, you will learn the basics of machine learning, how to use existing models and services in your apps, and how to get started with creating your own simple models. And if you are a .Net developer, we will cover the basis of Machine Learning.Net, a complete ML framework to work with C#, F# or any other .Net Core language.
"Cybertelligence": Using AI to Fight the Dangers of Cyber Threats
Cyber threats are considered the top priorities for businesses nowadays, with Cybersecurity Ventures predicts cybercrime will cost the world in excess of $6 trillion annually by 2021 (up from $3 trillion in 2015), the challenge becomes bigger and the human resources to fight the threats are not catching up. The need of AI based automated cybersecurity solutions that will help human cybersecurity experts in this battle is becoming more of a necessity than complimentary. This talk will concentrateon the role of AI in fighting cyber crimes.
Topics: 1- The OODA loop 2- Brief history of cyber crime combat 3- Dark Web and AI combat 4- Mass Surveillance and AI 5- Breaking RSA with AI and Quantum Computing (Shor's Algorithm) 6- The future of AI protection with Quantum Keys 7- The Battle with AI Biases in Cybersecurity 8- AI vs Human in Security, who wins? 9- Q & A
Machine learning is a data science technique to use massive historical data to forecast future behaviors, outcomes, and trends without being explicitly programmed. This session will introduce how to incorporate Machine Learning predictive models into Power BI to gain better predictions and insights about the future.
The ability to visualize and invoke insights from these models, in your reports and dashboards and other analytics, can help disseminate these insights to the business users who need it the most. This makes collaboration among business analysts and data scientists easier and faster than ever before.
Azure Machine Learning Services is a one-stop shop to train, deploy, automate, manage, and track your machine learning models. You can do that in Python (PyTorch, TensorFlow, and scikit-learn), R, or zero-code/low-code options. At the beginning, we will spend few minutes to familiarize ourselves with the ML/Data Science practice in general. Then, I will present a few examples of Python and zero-code options to build and deploy machine learning models, including Auto-ML (Automated Machine Learning) in Azure. Towards the end of the session, I will show-case how to consume a ML model from within a Power BI report. This session is appropriate for cloud developers/architects who are new to Machine Learning, but also for data scientist and data engineers who are new to Azure
Azure Cognitive Speech Services Azure Speaker Recognition Azure CLI scripts/code Live Demos 1-Voice Identification (Recording few voices) 2-Voice Verification (who was speaking) 3-Voice Verification in different language
AI is definitely the new buzz in the tech world. Everybody wants it, everybody's using it (even unknowingly). AI solved a lot of issues and changed our lives for better, but, years into experiencing AI we know now that there is a downside of using it. Mostly an ethical one. So, do we drop the whole "AI thing"? Keep it as it is and accept the downside? Or proceed with caution? This is what this session is trying to highlight.
Topics: 1- AI Ethics: Why important? Why Now? 2- The dilemma and the major issues. 3- Machine Biases (the goo, the bad and the ugly) 4- The Moral Algorithm (Interpretability and Transparency) 5- Major Bias Cases 6- Artificial Consciousness as a Solution (Advancements and Challenges) 7- Conclusion and Suggestions 8- Q & A
Enriching the Power Platform with AI capabilities through AI Builder
Combining all three of the aspects of the Microsoft Power Platform – Power Apps, Microsoft BI & Power Automate and enriching them with advanced technology like AI builder gives businesses the required edge to stay relevant in the world of automation and artificial intelligence.
Microsoft’s Power Platform consists of three services Power BI, Power Apps and Flow. All three of these services helps users in their respective disciplines. With the help of Power Platform, users can integrate the capabilities of the three platforms to create streamlined solutions.
Users can now make their workflows and applications more efficient with the help of AI Builder. The scenario will allow businesses to become more intelligent and enable them to align their operations with the dynamic needs of modern consumers.
In this session, you will learn -How can you start using AI-Builder for your business? -Using AI-Builder with Power BI, Power Apps and Power Automate
Desde los inicios de Xamarin.Forms se contaba con soporte para diferentes formatos de imagen. Con la llegada de nuevas versiones llegaron nuevas opciones como FontImageSource.
Con Xamarin.Forms 4.4 llega el soporte al formato gif y animaciones.
Soporte al formato gif
El uso de gif en Xamarin.Forms no implica grandes cambios en API o nuevos conceptos a aprender. Al igual que usamos la propiedad Source de Image con diferentes formatos de imagen (png, jpg, etc.), podemos usar gifs:
var gifImage = new Image
Source = "awesome.gif"
NOTA: La funcionalidad completa relacionada con gifs en Android esta incluido usando FastRenderers (usados hoy día por defecto). Sin usar Fast Renderers (UseLegacyRenderers), el gif se renderizará pero la animación no funcionará.
Soporte a gifs
La novedad incluida relacionada con gifs viene a permitir controlar la animación del mismo. Contamos con la propiedad IsAnimationPlaying de tipo bool para indicar si el…
The partner opportunity for AI is worth a whopping $118 billion,* and I want to help you make the most of it. Join me and SYNNEX for a webinar on Thursday, December 12, at 2 PM ET where I’ll show you how you can capitalize on Azure AI solutions that solve real-world problems for your customers.
What makes the AI opportunity so profitable for partners
How to create apps that see, hear, speak, and understand with solutions like Azure Cognitive Services and Power Apps
Steps for implementing AI and machine learning
Plus, I’ll provide demos of key solutions—you’ll see how easy it is to create a QnA bot with Azure Cognitive Services, or machine learning solutions with Power Apps. Register today!
*Tractica. Artificial Intelligence Software Market to Reach USD$89.8 Billion in Annual Worldwide Revenue by 2025. 2017.
Recientemente recibíamos en Xamarin.Forms un nuevo CarouselView. El CarouselView permite mostrar una colección donde se pueden desplazar los elementos haciendo deslizamientos (gestos de Swipe). A pesar de contar con diferentes opciones para gestionar el layout, orientación, espaciado, etc. una de las peticiones más habituales a la hora de trabajar con el nuevo Carousel es poder mostrar un indicador con el número de elementos y la posición.
Indicador de posición
Llega en Xamarin.Forms 4.4 un nuevo control, IndicatorView, que tiene como objetivo permitir mostrar el número de elementos y la posición del elemento actual.
IndicatorView sale en forma de Preview y para poder usarlo en estos momentos es necesario usar la etiqueta IndicatorView_Preview.
En España tenemos una gran comunidad Xamarin y con la idea de contar con un evento de desarrollo relacionado con Xamarin de gran tamaño, el año pasado nacía la Monkey Conf. Ante el buen recibimiento, no podía más que hacer lo posible para volver este año con más contenido, mayor tamaño y más sorpresas.
El pasado 30 de Noviembre, celebramos la Monkey Conf 2019. A continuación, una pequeña galería del evento:
Fue un día lleno de sesiones técnicas de calidad. Es increíble ver sesiones donde se dan consejos de distribución y venta de apps basadas en la experiencia real con consejos de arquitectura de código. Esto demuestra el nivel y madurez de la comunidad Xamarin. Desde el inicio hasta el final, donde no podía faltar “el preguntón” (gracias a MFractor y SyncFusion por facilitarnos licencias) el día fluyo de forma natural, sin problemas. Muchas gracias a…