Jacob Jedryszek joins Scott Hanselman to talk about about using Cognitive Services with Azure Search with your mobile and web apps. Skip hiring search experts who know what an inverted index is. Don't worry about distributed systems expertise to scale your service to handle large amount of data. And forget about setting up, owning and managing the infrastructure. Let Azure Search do it all for you.
Christina Lee joins Scott Hanselman to show what's new in Azure Cognitive Services. Cognitive Services bring AI within reach of every developer--without requiring machine-learning expertise. All it takes is an API call to embed the ability to see, hear, speak, search, understand, and accelerate decision-making into your apps. Create a free account (Azure) https://aka.ms/azfr/592/free
AI, data and cloud are ushering the next wave of transformative innovations across industries. 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. We see customers using Azure AI to derive tangible benefits across three key solution areas. Today, at Microsoft Ignite, we are excited to announce a range of innovations across these areas to make Azure the best place for AI. Let me walk you through them.
We are really excited to introduce the preview of new machine learning experiences in Azure Synapse Analytics, to make it easier for data professionals to enrich data and build predictive analytics solutions. AI and machine learning is an important aspect of any analytics solution. By integrating Azure Synapse Analytics with Azure Machine Learning and Azure Cognitive Services, we are bringing together the best of two worlds, to empower data professionals with the power of predictive analytics and AI. Data engineers working in Azure Synapse can access models in Azure Machine Learning's central model registry, created by data scientists. Data engineers can also build models with ease in Azure Synapse, using the code-free automated ML powered by Azure Machine Learning and use these models to enrich data.
Modern organizations have been utilizing Artificial Intelligence (AI) in a variety of ways to successfully create personalized customer experiences while simultaneously digitizing core business processes. Platforms such as Azure AI help organizations innovate by providing secure, productive and enterprise-grade solutions. Naturally, there was an air of anticipation around the Azure AI-centered announcements at Ignite 2019. As expected, Microsoft did not disappoint with the announcement of many significant updates to the products that will help organizations build robust, intelligent, and conversational solutions. After analyzing the major Ignite 2019 announcements, this article shares the new and exciting Azure AI developments.