Today’s IT and business decision makers (ITBDMs) are overseeing the unprecedented task of guiding their organization’s AI journey. The choices are broad, and the speed of innovation is intense. In exploring the best path for the AI journey, we see decision makers are increasingly choosing a hybrid AI model as the best overall course. Why hybrid AI? 

Hybrid AI is the optimization or extension of AI models based on machine learning, deep learning, neural networks with human expertise to create domain-specific AI models with enhanced accuracy or AI use case-specific models with maximum accuracy or prediction probability. Hybrid AI is the idea of adhering to data gravity and bringing AI solutions and capabilities to where you need it – from mobile and desktop devices, private data centers, edge computing or even the cloud. As such, the use-case and data management strategy may dictate where and how to deploy AI capabilities, with consideration to factors such as security, cost, network infrastructure, data gravity and reliability. 

In our latest research report, Achieve Better Economics and Performance Through Hybrid AI, we examine why the Lenovo Smarter AI for All portfolio and vision can meet the unique demands of selecting and implementing hybrid AI organization wide. Lenovo Smarter AI for All prioritizes business outcome driven approach by providing the right mix and size of AI PCs, Workstations, AI-ready solutions, expertise, and AI-optimized storage, compute, infrastructure, software, and partnering capabilities with a validated partner ecosystem. This includes the ability to deliver tailored, agile, scalable, and energy-efficient industry and use-case based AI solutions across personal and industry edge (PCs, workstations, business locations), data centers (colocations, on-prem), and high-performance computing (HPC) environments, all with public cloud integration/ synergies. Together, we found that Lenovo and NVIDIA build AI factories that provide an AI-optimized and enabled enterprise AI environments where AI applications can be developed, deployed, and managed securely, privately and at scale.

In this report you’ll learn:

• The fast-evolving hybrid AI landscape
• How organizations are deploying AI services
• Why running GenAI and AI locally at the edge, including on devices, is becoming vital
• Hybrid AI ‘s inherent flexibility in meeting the diverse needs of the various personas within enterprises
• Why Lenovo’s comprehensive portfolio approach, including AI-enabled devices, smart infrastructure, and robust cloud solutions, meet the diverse hybrid AI needs of its customers

The effective use of hybrid AI requires meticulous planning and execution, considering technology, people, processes, and Responsible AI approaches. Businesses grapple with siloed initiatives, misaligned AI solution choices and budgets, while IT teams struggle to modernize infrastructure and meet diverse AI compute demands, compliance, security standards and the need to run a hybrid operation. As data management and public cloud use become uncontrolled, security, governance, and escalating cloud costs emerge as pressing concerns. These challenges must be balanced against the skills and change management required to achieve meaningful business outcomes from AI. To learn more, download Achieve Better Economics and Performance Through Hybrid AI, today!