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Leverage the power of automated machine learning

Simplifying AI with automated ML no-code web interface

Leverage the power of automated machine learning 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 ... continue reading

Developing connected security solutions

Many organizations deploy dozens of security products and services from Microsoft and others to combat increasing cyberthreats. As a result, the ability to quickly extract value from these solutions has become more challenging. This creates opportunity for developers to build ... continue reading

AI-first content understanding, now across more types of content for even more use cases

This post is authored by Elad Ziklik, Principal Program Manager, Applied AI. 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 ... continue reading
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Governance setting for cache refreshes from Azure Analysis Services

Built on the proven analytics engine in Microsoft SQL Server Analysis Services, Azure Analysis Services delivers enterprise-grade BI semantic modeling capabilities with the scale, flexibility, and management benefits of the cloud. The success of any modern data-driven organization requires that ... continue reading
Example of invoking the AutoMLTrain procedure.

Automated machine learning from SQL Server with Azure Machine Learning

This post was co-authored by Jeff Shepherd, Deepak Mukunthu, and Vijay Aski. Recently, we blogged about performing automated machine learning on SQL Server 2019 big data clusters. In todays post, we will present a complementary automated machine learning approach leveraging ... continue reading
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Umanis lifts the hood on their AI implementation methodology

Microsoft creates deep, technical content to help developers enhance their proficiency when building solutions using the Azure AI Platform. Our preferred training partners redeliver our LearnAI Bootcamps for customers around the globe on topics including Azure Databricks, Azure Machine Learning ... continue reading
Flowchart display of Spyglass Reference Architecture

Maximize existing vision systems in quality assurance with Cognitive AI

Quality assurance matters to manufacturers. The reputation and bottom line of a company can be adversely affected if defective products are released. If a defect is not detected, and the flawed product is not removed early in the production process, ... continue reading
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Microsoft continues to build the case for data estate modernization on Azure

Special thanks to Rik Tamm-Daniels and the Informatica team for their contribution to this blog post. ​ With the latest release of Azure SQL Data Warehouse, Microsoft doubles-down on Azure SQL DW as one of the core data services for ... continue reading
Channels blade in the Microsoft Azure portal

Conversational AI updates for March 2019

We are thrilled to share the release of Bot Framework SDK version 4.3 and use this opportunity to provide additional updates for the Conversational AI releases from Microsoft. New LINE Channel Microsoft Bot Framework lets you connect with your users ... continue reading
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Creating IoT applications with Azure Database for PostgreSQL

There are numerous IoT use cases in different industries, with common categories like predictive maintenance, connected vehicles, anomaly detection, asset monitoring, and many others. For example, in water treatment facilities in the state of California, IoT devices can be installed ... continue reading