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Microsoft Azure is a top public cloud provider offering services in on-premises and cloud versions. This often makes it easier, especially for Microsoft-based organizations, to migrate to the Azure platform. However, migrating to the Azure cloud is not without challenges. From dealing with the mental paradigm shift to managing dependencies and system downtimes during migration, there are many aspects that need careful consideration and planning. Working with an experienced migration partner, you can easily overcome such challenges and effect a smooth transition to achieve your goals for agility, scalability, and availability with the Azure cloud.
Connect IoT devices to the application backend with bi-directional communication and collect untapped data for your business intelligence reports.
Empower your business with real-time intelligence. Easily process audio, video, IoT, or non-IoT data without any infrastructure to manage.
Use Microsoft Bot Framework and bot builder tools to fast-track your chatbot development. Add language understanding to the mix and you will have a great conversationalist.
Engage users with systems that understand and respond to natural language. Well-trained and continually updated models will correctly interpret intent and serve accurate results.
Populate your analytics and reporting systems with data consolidated from multiple sources using Data Factory and its connectors.
Bring interactivity into your reporting applications. Use embedded analytics to deliver complex data in easy-to-comprehend visuals.
One of the common reasons to migrate to a cloud platform is scalable storage. Massively scalable and highly available, secure storage options accessible from anywhere could be a game-changer for your application and its users. Based on the nature of data to be stored, we’ll help you choose and configure from the range of storage options Azure provides.
Our client operates in the medical field and wanted a monitoring system for hospitals to monitor patients confined to bed. They envisioned a sensor-based system to alert nursing staff when a bedridden patient needs to be moved or turned over to prevent pressure sores from developing.
Industry-Specific IoT SolutionsThe chat assistant was developed to cater to two main use-cases—to handle frequently asked questions and for task automation. Azure chatbot service was integrated with LUIS for language understanding and QnA Maker to realize the bot. The chatbot was integrated with multiple channels such as Skype for business and the client’s internal web application.
AI Chatbot DevelopmentTo overcome the problem of forgetting passwords and to avoid phishing attacks that undermine security, our client decided to go password-less. They decided on a password-less authentication framework for their various applications where users would be authenticated through facial recognition.
Custom App Development