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Add intelligence to apps using ML & AI
Playlist: Add intelligence to apps using ML & AI
There is tremendous value in your data, that you can use to enhance your applications and your business. Access the value in the data by ingesting it, arranging it and analyzing it.Microsoft offers powerful tools for preparing and analyzing data, regardless of where that data lives. Use the tools to create your own machine learning algorithms and expose the resulting models to apps. You can even enhance offline mobile apps by consuming AI as a service with Azure Cognitive Services.In this Playlist, you'll find Build sessions to get you started.
AI @ Microsoft
AI @ Microsoft, How we do it and how you can too!
Windows AI Platform and the Intelligent Edge
The Windows AI Platform enables developers to use pre-trained machine learning models in applications across the Windows device family. Machine learning evaluation on the edge offers developers a number of benefits, including low latency real-time results, reduced operational costs, and flexibility. Together with Microsoft's Cloud AI platform, developers can build affordable, end-to-end AI solutions that combine training models in Azure with deployment to Windows devices for evaluation.
Building with Microsoft Data & AI Platform
C++/WinRT is designed to give C++ developers uncompromising performance as well as amazing productivity. Come and learn how to make effective use of C++ for the most demanding projects, whether it's a system component, desktop or console app, or UWP app.
Combining Batch and Stream processing pipelines.
Bringing data to life in a timely manner is every developer's dream. With Azure Databricks Delta, this dream is closer to reality than ever before. Join this session to see how you can create simple pipelines that allow bringing together real-time data and merge with massive batch datasets, with the objective of leveraging the best of both worlds, but with minimal friction.
Building smart apps with Visual Studio, Xamarin
What can't you do with Cognitive Services? Come see how to leverage these powerful services to infuse your apps with intelligent algorithms to see, hear, speak, understand, and interpret your user needs to transform your business with AI.
Cognitive Services and Vue.js
The life we live online increasingly informs the way we live offline as well. Businesses live and die through algorithms like SEO, humans are sorted in government systems, and we make large, life-governing decisions through what is shown to us on the web.
Evolve your app video experience with Azure
The amount of video generated, processed, and archived continues to grow exponentially across all industry segments. We also have to embrace emerging use cases like user generated content, content protection, or intelligent metadata extraction.
Build Expo Interview: Azure Machine Learning
What's new with Azure Machine Learning
In September, we launched a huge set of updates for Azure Machine Learning to let you manage the end to end lifecycle of Machine Learning Development. We made it easy to scale to the cloud, deploy through containers to the cloud and the edge, use great frameworks like Tensorflow, PyTorch, Scikit, and more, and gave you a great monitoring and management experience.
Machine learning at scale : Build 2018
AI/ML expert Paige Bailey takes you on a tour of the powerful services available on Azure. You'll see how to take your predictive model to production, dynamically train it online with streaming updates, and add realtime data to your models from IoT sources.
ISV Showcase: End-to-end ML using H2O
H2O's AI platform provides open source machine learning framework that works with sparklyr and PySpark. H2O's Sparkling Water allows users to combine the fast, scalable machine learning algorithms of H2O with the capabilities of Spark. With Sparkling Water, users can drive computation from Scala/R/Python and utilize the H2O Flow UI, providing an ideal machine learning platform for application developers.
Playlist: Add intelligence to apps using ML & AI
There is tremendous value in your data, that you can use to enhance your applications and your business. Access the value in the data by ingesting it, arranging it and analyzing it.
Microsoft offers powerful tools for preparing and analyzing data, regardless of where that data lives. Use the tools to create your own machine learning algorithms and expose the resulting models to apps. You can even enhance offline mobile apps by consuming AI as a service with Azure Cognitive Services.
In this Playlist, you'll find Build sessions to get you started.
Learn more about Compute
AI and Machine Learning
Learn more about AI and Machine Learning
How Honeywell migrated their smart thermostat app
Join us to learn how Honeywell Homes and Building IoT division built their smart thermostat service with Service Fabric. We will show how we took an existing microservices application and migrated the solution to Service Fabric to gain the scalability and agility needed to grow our business.
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