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At Microsoft Build 2019 we announced exciting new capabilities, including the introduction of real-time operational analytics using new native support for Apache Spark and a new Jupyter notebook experience for all Azure Cosmos DB APIs.
The world of data changes at a rapid pace, with more and more data being projected to be stored and processed at the edge.
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.
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.
As the amount of data stored and queried continues to rise, it becomes increasingly important to have the most price-performant data warehouse.
Delivering new, transformational capabilities increasingly requires that we develop for ourselves competencies which we’d previously turned to our suppliers for. Our experience building Azure public cloud services over the last several years bears this out.
Easily build intelligent globally distributed apps running at planet scale with Azure Cosmos DB.
In today’s data-driven world, driving digital transformation increasingly depends on our ability to manage massive amounts of data and harness its potential. Developers who are building intelligent and immersive applications should not have to be constrained by resource limitations that ultimately impact their customers’ experience.
Digital disruption has created unlimited potential for companies to embrace data as a competitive advantage for their business. As a result, analytics continues to be a key priority for enterprises.
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.
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.
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.
