Fuel Application Innovation with AI Cloud Services
In a rapidly evolving digital landscape, leveraging AI is crucial for organizations to stay competitive. The Microsoft-commissioned Forrester report, "Fuel Application Innovation With Cloud AI Services," explores five use cases for implementing AI in the cloud and enabling businesses to quickly realize value and drive innovation. Discover how knowledge mining, document process automation, speech transcription and analytics, machine translation and conversational AI can reshape your applications and create a competitive edge. Discover 4 key findings based on an online survey of over 500 technical decision makers responsible for AI implementation at their companies. Gain insights into implementing AI without the need for a large data science team. Download the report now to fuel your application innovation.
Why is AI important for businesses?
AI is increasingly seen as essential for long-term business success. According to a study, 84% of technical decision-makers believe that implementing AI is crucial to maintaining a competitive edge in their industry. With over 70% recognizing that AI has real business value, organizations are encouraged to integrate AI capabilities into their applications to enhance innovation and improve customer and employee experiences.
What challenges do organizations face in implementing AI?
Organizations often struggle with several challenges when implementing AI, including a lack of quality data, insufficient development skills, and long development times. Over 50% of technical leaders feel their organizations lack the right resources to add AI capabilities, and 60% cite data integration as a significant hurdle. These challenges can hinder the speed and effectiveness of AI deployment.
How can cloud AI services facilitate AI implementation?
Cloud AI services provide prebuilt, configurable AI capabilities that allow organizations to bypass many of the complexities associated with traditional AI development. By offering easy access to tested AI models via APIs, these services enable faster deployment and reduce reliance on specialized data science skills. As a result, 79% of technical leaders plan to leverage cloud solutions to simplify their AI implementation processes.
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