AI has become a top priority for enterprises and organizations, but its rapid adoption faces multifaceted challenges. Despite the popularity of public generative AI applications, IT organizations struggle with issues such as lack of domain-specific knowledge, limited enterprise readiness, security concerns, and insufficient expertise. These problems are further compounded by inadequate data management solutions, compliance regulations, and high costs related to cloud fees and energy consumption. The fragmented independent software vendor (ISV) market for use-case-driven AI applications adds complexity, potentially slowing progress.

For customers who have concerns about data privacy, security, or controlling their own AI systems, private AI infrastructure rises as the effective solution for them. By hosting AI models and processing on their own secure infrastructure, businesses can maintain full control and visibility over how their data and AI systems are being used. This can be especially important for industries with strict data regulations, sensitive intellectual property, or mission-critical applications. Private AI infrastructure also allows for more customization and integration with a company’s existing IT systems and workflows.

In our latest research report, Boost Efficiencies and Optimize Performance with Turnkey AI Enterprise Solutions, we examine how organizations can plan and build private AI solutions and why private AI addresses the growing demand for greater control over AI solutions, including protection and transparency. The Lenovo Smarter AI for All strategy prioritizes enterprise AI, harnessing its power to drive intelligent transformation across industries and enable organizations to innovate rapidly and maintain a technological edge over competitors. Lenovo’s approach ensures that customers can retain and exercise control over their AI systems, data infrastructure, and deployment environments as well as data security and privacy.  

In this report you’ll learn:

• The developing private AI landscape and the way private AI techniques enable organizations to ensure successful AI model training while maintaining robust security.
• How Lenovo enterprise AI solutions are designed to be secure, efficient, and scalable, aiding businesses in using AI responsibly and successfully. 
• The NVIDIA AI Enterprise software platform underpinning Lenovo’s newest Reference Design for GenAI based on LLMs, showing businesses how to deploy and commercialize GenAI tools and foundation models.
• Why the integrated AI infrastructure approach ensures that Lenovo customers can efficiently manage their data and seamlessly deploy powerful AI solutions, all within flexible and scalable infrastructure solutions.
• Conclusions and recommendations on why the Lenovo Smarter AI for All proposition assures the implementation of market ready enterprise AI solutions.

Discover why building successful private AI solutions requires an ecosystem of partners, AI expertise, a carefully curated group of ISVs and their AI apps, right-sized infrastructure for targeted workloads and developer support to ensure organization-wide AI adoption and innovation. Accordingly, Lenovo offers the portfolio and services vital to shepherding the collaboration of ecosystem partners, AI expertise, ISVs, essential to organization-wide enterprise AI success. To find out more, download Boost Efficiencies and Optimize Performance with Turnkey AI Enterprise Solutions today!