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Apart from adding new features to Amazon Bedrock, AWS has also launched a new generative AI service, dubbed AWS HealthScribe, to help automatically create clinical documentation.
Process mining is now part of Microsoft’s process automation suite, giving you the KPIs and visualizations you need to identify bottlenecks in both manual workflows and software processes.
By enabling cloud-native back ends to run on operational edges, Wasm allows us to deploy business logic closer to users or data, even to places Kubernetes and containers can’t go.
Microservices came in with a great deal of momentum a few years ago, but now we’re seeing their drawbacks for applications on cloud platforms.
Powered by edge computing, IoT, and 5G, today's systems are decentralized, context-aware, and real-time interactive.
Configuration as code is coming to Microsoft’s Azure-hosted workstations, allowing us to use WinGet, YAML files, and PowerShell DSC to deliver ready-to-run toolchains to developers.
As the costs for cloud services continue to rise, companies need to determine if the business value of those services is worth the price tag.
While gate model quantum computing holds immense promise for tomorrow, quantum annealing systems are solving complex optimization problems for enterprises today.
Using the PaLM 2 large language model available in Google Cloud Vertex AI, you can create a chatbot in just a few lines of code. These are the steps.
The push to adopt generative AI in the cloud will lead to new roles and needed skills, and enterprises will likely pay top dollar.