Microsoft Azure is a recognized leader in both private and public cloud. It’s an open cloud, providing access to over 200 preconfigured services and the choice to use the technologies you want and have already invested in. Azure provides a fully integrated set of IaaS and PaaS capabilities, including technologies like AI and machine learning, analytics, DevOps, internet of things and security, all of which complement and integrate with on-premises systems.
As the most experienced Microsoft Azure cloud services partner, with more Microsoft Certified Professionals on Azure than any other Microsoft partner, we help you fully exploit the power of Azure. Speed, scalability, economics, data, analytics, AI, cognitive services and more, all from one provider, optimized just for you.
Azure Databricks is a key enabler to help clients scale AI and unlock the value of disparate and complex data. If you are looking to quickly modernize to cloud services, we can use Azure Databricks to transition you from proprietary and expensive systems to accelerate operational efficiencies and new business models.
No matter where you are in your data and AI maturity, there is still time and opportunity to transform the value-driven from your data leveraging the Azure Platform and Azure Databricks
Microsoft Azure Synapse makes data accessible to everyone and is breaking the boundaries between data lakes and data warehouses to offer a rich analytics experience. Azure Synapse is a next-generation Azure SQL Data Warehouse solution that provides a limitless analytics service that brings together data across your enterprise and big data analytics. Synapse allows business group users to answer questions of their data faster and more repeatably.
Azure SQL Database is a relational cloud database that allows you to accelerate app development and use the familiar SQL database engine. Migrate your SQL server databases without changing your apps. Connect your data to the built-in artificial intelligence and advanced analytics capabilities to maximize performance, data protection and accelerated app development. This approach has the benefit of low maintenance and the same performance, scalability and reliability of Microsoft’s Azure cloud in IaaS and PaaS models.
Everywhere you look, there is opportunity to infuse your apps, websites and bots with intelligent algorithms to see, hear, speak, understand and interpret your user needs through natural methods of communication.
Microsoft Cognitive Services uses image processing algorithms, complex information mapping combined with semantic search, natural language processing, speech conversion and search to address your toughest business problems. And with the deepest Microsoft Azure capabilities in the world, we’re the best choice for helping you solve these problems.
Microsoft Azure Stack is changing the game in hybrid cloud platforms with a true hybrid cloud experience that increases efficiency, flexibility and productivity. For the first time, you can have a common, single vendor platform across cloud and on-premises data centers. To meet various industry needs, we can provide a fully managed solution delivered on-premises in your data center, at remote locations or hosted in Codenetix’s data centers.
A powerful search index across your websites, web applications and mobile apps will help you to serve your customers, clients and employees better.
Microsoft Azure Cognitive Search enables you to transform your data into discoverable, contextual and relevant content. Using the power of cognitive skills for vision, language and speech, as well as advanced machine learning models and semantic search, you can now truly understand user intent beyond the keyword.
Security is integrated into every aspect of Azure. Protect your data, apps and infrastructure quickly with built-in security services in Azure that include unparalleled security intelligence to help identify rapidly evolving threats early — so you can respond quickly. Implement a layered in-depth strategy across identity, data, hosts and networks. Unify your security management and enable advanced threat protection in hybrid cloud environments.
Today, your only limitation is the question you haven’t asked. Advanced analytics techniques using AI and machine learning make it possible for machines to think and learn. Microsoft Azure Machine Learning enables data scientists to prepare data, develop experiments and deploy models at cloud scale. You can then leverage Docker containers for experiments in managed environments and have the ability to use advanced hardware to accelerate execution. Azure Machine Learning includes three components (Workbench, Experimentation Service and Model Management Service), a learning library as well as Visual Studio Code Tools for AI.