Channeling the backbone of the strongest enterprise cloud company in the world to build platforms and applications that scale to meet customer demand at any level
Icreon leverages Microsoft Azure to strategize and implement on large-scale application modernization initiatives with enterprises. As a Microsoft Gold-Certified Partner, our work in Azure enables businesses to rethink their legacy platforms, evaluate opportunities to modernize and optimize them, and ultimately move them to the cloud to enable a host of performance & scalability improvements.
More recently, we've built expertise around Azure's Artificial Intelligence and Internet-of-Things (IoT) capabilities. This means utilizing Microsoft frameworks to build out applications, platforms and digital products that have a host of 'intelligent' features, from understanding natural conversational language to enable more efficient call centers to predictively forecasting a business' sales using POS data.
A better understanding of how technology plays a role in business success
Enabling businesses to grow through customized software and product development
Automating outdated processes & technology for operational efficiency
Engineering new ideas to stay ahead of the competition
This answer to this is complex. It used to be that if your business was a 'Microsoft' business, (meaning that you had a number of Microsoft products such as Intune & leveraged platforms like ASP.Net) Azure was the de facto choice for your business. However, today, that may not necessarily be the case. Azure has built a whole host of multi-platform capabilities to support product, engineering & DevOps teams get to market faster.
Because of this, the opportunities to leverage Azure are a lot more wide-varying than previously possible. From leveraging multiple cloud databases to supporting a host of programming languages to enabling smoother continuous integration & delivery practices, Azure has become extremely 'tool-agnostic'. For Icreon, we tend to evaluate Azure's fit based on the business case; it's still the best fit for businesses that have more compelling B2B and B2E use-cases. In addition, we see it providing all-in support on enabling artificial intelligence at the enterprise-level.