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Year In The Life Running Microsoft Dynamics 365 F&O In The Cloud

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We have spent the past year blessed to have been able to broaden our insights on running  Microsoft Dynamics 365 Finance & Operations (F&O) in the cloud here at Initech Solutions. While we have successfully migrated ERP and CRM systems from on-premises to the cloud in little as 6 months, unfortunately those stories have not come without challenges along the way. Through it all we wanted to share our findings with our peers and describe some of the biggest challenges we faced during our first year with Dynamics 365 F&O in the cloud and how best to manage such moving forward. Managing Expectations in Performance Performance is a top priority for us, as it should be for you. If your business suffers from poor performance, then it can cause serious problems for your bottom line and the success of your team. Performance issues can be difficult to identify and fix, but fortunately there are many tools available to help trou...

Is Cloud Computing a Digital Transformation Enabler or Obstacle?

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Cloud computing was supposed to make our lives easier. With the ability to access applications and data from anywhere, on any device, it should have simplified things by making systems more flexible and efficient. But according to a new report by BCS, The Chartered Institute for IT, this isn't always the case: 80% of respondents say that using different cloud applications have added complexity rather than simplifying their IT environment. Cloud computing is everywhere and there's now an expectation that moving to the cloud should be straightforward. Cloud evangelist claims it's easy to develop applications in the cloud, but simple isn't always as simple in practice as it sounds on paper. Keeping It Stupidly Simple - Not So Fast So, what's not to like? In a nutshell: It's not always quite as simple as that. The infrastructure-as-a-service (IaaS) model is the most widely adopted cloud model today. In Ia...

Why AI and Machine Learning Have Cases Outside of Cloud

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Cloud computing has been a key part of the rise of AI, but as more organizations look to improve their capabilities, they're moving toward a hybrid approach that includes both cloud and edge computing. Since cloud computing is often thought of as another term for all-in-one solutions, you might wonder why companies want to move away from it at all. The fact is, there are many reasons why customers are choosing hybrid approaches over purely cloud-based architectures. AI Lurking in the Shadows You might not know it, but AI has been in the cloud for a long time. Amazon, Microsoft, Google and other cloud providers have been offering machine learning services as a service (SaaS) for years. These services make it easy for developers to build applications that use machine learning models without having to worry about how those models are trained or implemented. For example, if you want to build an e-commerce site that recommend...