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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

Traversing a long and distinguished career in various roles in software development it is common to reuse several "killer" patterns or structures over and over again as their application and benefits has been proven multiple times over. One of those "killer" patterns involve the use of various key/value pair data structures that are available within the .NET framework, each having their own personality and use case. While there are many benefits of using these in-memory data stores we have seen the most benefit in using a key/value pair as a dynamic caching mechanism that can significantly reduce the cost of accessing a database to obtain values that often times don't see much change or volatility, or in a simpler case, accessing an expensive item of value and retaining for quick access later. Key/Value Defined A key value pair is a data structure that consists of two pa