What's new in Azure Data, AI, and Digital Applications: Are you ready to go from GenAI experimentation to solutions at scale?
The AI era is here — and moving at warp speed rerouting technology roadmaps and dramatically accelerating transformation and value realization timelines. Microsoft is once again at the forefront of development and deployment of responsible AI.
In this blog article, you'll take a deep dive into what's new in Azure Data, AI and digital applications. What's more, you will learn how by deploying Azure you can go from GenAI experimentation to solutions deployed at scale - and realize a substantial ROI in the process.
Ready to make your move from AI experimentation to innovative AI solutions with Azure?
Andosican help you get started.
What is the current focus of AI development in Azure?
This year, the focus is on implementation and realizing value from AI technologies. Organizations are encouraged to explore how AI can reshape their operations and improve productivity, moving from experimentation to deploying solutions at scale.
How can organizations assess their readiness for AI implementation?
Organizations should evaluate several factors, including whether their workloads are in the cloud, if their teams have the necessary skills, and if AI aligns well with their culture and customer needs. Microsoft provides tools and expertise to help assess transformation readiness.
What resources does Azure offer for AI application development?
Azure AI Studio offers developers the ability to build and evaluate generative AI applications, ensuring they meet safety, reliability, and performance standards before deployment. Additionally, Azure provides resources like the Azure Expert Assessment to guide organizations in their cloud adoption plans.
What's new in Azure Data, AI, and Digital Applications: Are you ready to go from GenAI experimentation to solutions at scale?
published by Andosi
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