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Accelerators in AI: How Ready-to-Use Solutions Drive Faster ROI

AI accelerators are pre-built tools and frameworks that allow businesses to deploy AI quickly and drive faster ROI. By leveraging these ready-to-use solutions, companies can reduce the time and cost of AI implementation, focusing on business outcomes instead of building models from scratch.

The Role of AI Accelerators

AI accelerators offer businesses a range of pre-trained models and libraries designed for different use cases. These tools are flexible and customizable, enabling companies to apply AI to specific areas such as predictive analytics or natural language processing.

AI-Powered Cost Reduction

Pre-built AI accelerators can cut development costs by up to 35%, according to Accenture. Instead of investing resources in building AI from the ground up, companies can use accelerators to jump-start their projects and focus on delivering value faster.

Case Study: Novartis’ Use of AI Accelerators

Novartis utilized AI accelerators for drug discovery, reducing the research and development timeline by 40%. By leveraging machine learning models designed for pharmaceutical data, they were able to speed up the identification of promising drug candidates while lowering costs by 30%.

Driving ROI with AI Accelerators

Forrester reports that companies using AI accelerators achieve a 25-35% faster time to market compared to those that develop models in-house. These tools not only expedite AI adoption but also provide reliable, proven solutions that reduce risk.

AI accelerators are a powerful tool for driving faster ROI and staying competitive in a rapidly evolving AI landscape. By utilizing pre-built solutions, businesses like Novartis can achieve significant cost savings and improve time-to-market for AI applications.