联想（Lenovo）：2024混合AI赋能组织生产力提升研究报告（英文版）（19页）.pdf

1、Unlocking organizational productivity through the power of Hybrid AI Executive SummaryAs organizations look for new ways to drive greater operational efficiency and scale while maintaining high standards of data security,Hybrid AI1is emerging as a new lever for enhancing organizational productivity.

2、But why are organizations,many of which have already begun their AI journeys,now interested in adopting Hybrid AI?Hybrid AI enables organizations to unlock real-time data insights at the edge while leveraging the computational power and scalability of the cloud by integrating cloud computing with ed

3、ge AI.This dual approach reduces costs,decreases latency,optimizes bandwidth,and enhances data securityhelping overcome the common limitations of traditional,cloud-only AI systems2.These capabilities can prove highly valuable for decision makers who are constantly tasked with driving efficiencies.Hy

4、brid AI allows organizations to distribute AI workloads to meet the specific needs of different business units.By improving resource utilization and creating faster iteration cycles,organizations can further enhance productivity.From customer service,where AI-powered agents can deliver real-time per

5、sonalized support,to predictive maintenance inmanufacturing and logistics,Hybrid AI drives faster,smarter decision-making while lowering costs.The range of potential use cases is broad.Further,for those who have started their AI journeys but have yet to fully maximize the ROI of these investments,Hy

6、brid AI can offer a robust framework for scaling and optimizing AI initiatives while increasing cost efficiencies.This white paper defines Hybrid AI and provides various frameworks for how IT decision-makers(ITDMs)can approach adopting,transitioning to,and creating value with Hybrid AI.It outlines t