jueves, 16 de mayo de 2019
Conversational experiences have become the norm, whether you’re looking to track a package or to find out a store’s hours of operation. At Microsoft Build 2019, we highlighted a few customers who are building such conversational experiences using the Microsoft Bot Framework and Azure Bot Service to transform their customer experience.
martes, 14 de mayo de 2019
Customers across industries including healthcare, legal, media, and manufacturing are looking for new solutions to solve business challenges with AI, including knowledge mining with Azure Search.
jueves, 9 de mayo de 2019
At Microsoft Build 2019 we announced MLOps capabilities in Azure Machine Learning service. MLOps, also known as DevOps for machine learning, is the practice of collaboration and communication between data scientists and DevOps professionals to help manage the production of the machine learning (ML) lifecycle.
jueves, 9 de mayo de 2019
Artificial intelligence (AI) has become the hottest topic in tech. Executives, business managers, analysts, engineers, developers, and data scientists all want to leverage the power of AI to gain better insights to their work and better predictions for accomplishing their goals.
viernes, 3 de mayo de 2019
Today, data isn’t the barrier to innovation, usable data is. Real-world information is messy and carries valuable knowledge in ways that are not readily usable and require extensive time, resources, and data science expertise to process. With Knowledge Mining, it’s our mission to close the gap between data and knowledge.
viernes, 3 de mayo de 2019
Microsoft Build 2019 marks an important milestone for the evolution of Azure Cognitive Services with the introduction of new services and capabilities for developers. Azure empowers developers to make reinforcement learning real for businesses with the launch of Personalizer.
viernes, 3 de mayo de 2019
With the exponential rise of data, we are undergoing a technology transformation, as organizations realize the need for insights driven decisions. Artificial intelligence (AI) and machine learning (ML) technologies can help harness this data to drive real business outcomes across industries. Azure AI and Azure Machine Learning service are leading customers to the world of ubiquitous insights and enabling intelligent applications such as product recommendations in retail, load forecasting in energy production, image processing in healthcare to predictive maintenance in manufacturing and many more.
viernes, 3 de mayo de 2019
For LaLiga, keeping fans entertained and engaged is a top priority. And when it comes to fans, the Spanish football league has them in droves, with approximately 1.6 billion social media followers around the world. So any time it introduces a new feature, forum, or app for fans, instant global popularity is almost guaranteed. And while this is great news for LaLiga, it also poses technical challenges—nobody wants systems crashing or going unresponsive when millions of people are trying out a fun new app.
jueves, 2 de mayo de 2019
Nos encontramos en un punto de inflexión tecnológico muy emocionante. La potencia de computación prácticamente ilimitada de la nube, en combinación con dispositivos cada vez más conectados y perceptivos en el perímetro de la red, crean posibilidades que únicamente podríamos haber soñado hace solo unos años, posibilidades compuestas de millones de dispositivos conectados, datos infinitos y la capacidad de crear experiencias multidispositivo y multisentido verdaderamente inmersivas.
jueves, 2 de mayo de 2019
AI is fueling the next wave of transformative innovations that will change the world. With Azure AI, our goal is to empower organizations to apply AI across the spectrum of their business to engage customers, empower employees, optimize operations and transform products. To make this a reality, we have three guiding investment principles.
