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?Â
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.Â
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!
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Author Information
Regarded as a luminary at the intersection of technology and business transformation, Steven Dickens is the Vice President and Practice Leader for Hybrid Cloud, Infrastructure, and Operations at The Futurum Group. With a distinguished track record as a Forbes contributor and a ranking among the Top 10 Analysts by ARInsights, Steven's unique vantage point enables him to chart the nexus between emergent technologies and disruptive innovation, offering unparalleled insights for global enterprises.
Steven's expertise spans a broad spectrum of technologies that drive modern enterprises. Notable among these are open source, hybrid cloud, mission-critical infrastructure, cryptocurrencies, blockchain, and FinTech innovation. His work is foundational in aligning the strategic imperatives of C-suite executives with the practical needs of end users and technology practitioners, serving as a catalyst for optimizing the return on technology investments.
Over the years, Steven has been an integral part of industry behemoths including Broadcom, Hewlett Packard Enterprise (HPE), and IBM. His exceptional ability to pioneer multi-hundred-million-dollar products and to lead global sales teams with revenues in the same echelon has consistently demonstrated his capability for high-impact leadership.
Steven serves as a thought leader in various technology consortiums. He was a founding board member and former Chairperson of the Open Mainframe Project, under the aegis of the Linux Foundation. His role as a Board Advisor continues to shape the advocacy for open source implementations of mainframe technologies.
Ron is an experienced, customer-focused research expert and analyst, with over 20 years of experience in the digital and IT transformation markets, working with businesses to drive consistent revenue and sales growth.
He is a recognized authority at tracking the evolution of and identifying the key disruptive trends within the service enablement ecosystem, including a wide range of topics across software and services, infrastructure, 5G communications, Internet of Things (IoT), Artificial Intelligence (AI), analytics, security, cloud computing, revenue management, and regulatory issues.
Prior to his work with The Futurum Group, Ron worked with GlobalData Technology creating syndicated and custom research across a wide variety of technical fields. His work with Current Analysis focused on the broadband and service provider infrastructure markets.
Ron holds a Master of Arts in Public Policy from University of Nevada — Las Vegas and a Bachelor of Arts in political science/government from William and Mary.
