Microsoft Launches Azure Databricks, New AI Tools for Developers - DNU Tv

Azure Databricks analytics platform delivers one-click setup, streamlined workflows and an interactive workspace.

With an objective to help increase developers’ productivity and simplify app development, Microsoft has launched new data platform technologies and cross-platform developer tools. The company introduced a new AI-powered platform “Azure Databricks” during an event for developers late Thursday.

Designed in collaboration with the founders of Apache Spark, Azure Databricks analytics platform delivers one-click setup, streamlined workflows and an interactive work-space.

The platform will enable organizations to provide self-service analytics and machine learning over all data with enterprise-grade performance and governance, Microsoft said in a statement.

“With today’s intelligent cloud, emerging technologies like Artificial Intelligence (AI) have the potential to change every facet of how we interact with the world,” said Scott Guthrie, Executive Vice President.

“Developers are in the forefront of shaping that potential. We’re announcing new tools and services that help developers build applications and services for the AI-driven future, using the platforms, languages and collaboration tools they already know and love.”

Microsoft Launches Azure Databricks, New AI Tools for Developers - DNU Tv

Microsoft is releasing tools designed to help developers, development teams and data scientists collaborate and work together more efficiently for application development, deployment and management.

The company announced the general availability of a “Visual Studio App Centre”.

Developers can use App Centre to increase productivity and accelerate application lifecycle, freeing them to spend more time on new features and better user experiences. Developers and data scientists can also develop AI models with all the productivity of Visual Studio, on frameworks and languages.

Microsoft also announced “Azure IoT Edge” that will enable AI, advanced analytics and machine learning for the Internet of Things (IoT) powered devices.

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