Curated News
By: NewsRamp Editorial Staff
November 12, 2024
New Reports Emphasize Importance of High-Quality Data for AI Success
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- RobobAI's mature AI models offer direct access to proactive organizations, providing a head start in surfacing opportunities from their finance and procurement data quickly.
- The AI engine's size, type of data, maturity, and the experience of the AI team are key elements when assessing AI vendors.
- Large organizations leveraging AI to classify spend data gain the ability to manage supplier costs and risks, ultimately ensuring long-term resilience.
- RobobAI utilizes AI to help businesses manage spend visibility, optimize B2B payments, and reduce supplier risks, revolutionizing how organizations manage their supply chains ethically and commercially.
Impact - Why it Matters
This news matters as it sheds light on the critical role of high-quality data in the success of AI systems. It impacts businesses that rely on AI for spend management and B2B payments, highlighting the need for a solid data foundation for long-term AI success.
Summary
Two new reports highlight the need for consistent, high-quality data to build reliable AI systems. Dave Curtis, chief technology officer at global fintech RobobAI, explains key elements for AI success. RobobAI is a trailblazer utilizing AI to help businesses manage spend visibility, optimize B2B payments, and reduce supplier risks. Organizations with high volumes of data can realize the greatest benefits from adopting AI; however, the quality of data is critical. According to Curtis, there are four key elements to look for when assessing AI vendors.
Source Statement
This curated news summary relied on this press release disributed by 24-7 Press Release. Read the source press release here, New Reports Emphasize Importance of High-Quality Data for AI Success
