Dell Technologies hosted its annual forum in 2024 under the theme “AI-Driven Innovation Acceleration.” The event explored how businesses can leverage AI and innovation to redefine their operations, optimize performance, and reduce costs. Industry experts, technical advisors, and partners gathered to discuss digital transformation opportunities in the new AI era. In response to emerging AI challenges, Dell Technologies and its partners introduced Dell AI Factory. This initiative helps enterprises identify and prioritize high-impact AI applications while providing comprehensive end-to-end solutions.
At the Modern AI Data Center exhibition area, INFINITIX presented their AI-Stack infrastructure software solution. The platform’s key features include a flexible management interface, proprietary GPU partitioning technology, code-free environment setup, and automated workflows. These capabilities help enterprises boost AI operational efficiency and reduce development cycles. The solution improves overall AI ROI by allowing hardware managers and AI developers to access resources through a single unified platform. This approach aligns with Dell AI Factory’s vision of integrating partner expertise with end-to-end solutions.
While generative AI has become a global trend, organizations face new challenges in implementation. Success depends on helping businesses address these uncertainties while accelerating innovation. Early AI adoption creates opportunities for market leadership and innovation.
Dell Technologies’ 2024 Innovation Catalyst Research reveals key industry insights:
- 81% of professionals expect AI and GenAI to transform their industries significantly
- 57% struggle to keep pace with this transformation
- 57% of enterprises are in early to mid-stage GenAI development
The research also highlights a significant shift in cloud strategy. About 83% of CIOs plan to move some workloads from public cloud to on-premises solutions in 2024. This decision is driven by inference computing needs and data considerations. On-premises large language model computing has proven 75% more cost-effective than public cloud alternatives. Many executives now view GenAI as a tool for enhancing security, generating revenue, and reducing costs.
However, enterprises face challenges in implementing AI strategies. Many lack the necessary technical support and practical guidelines. Organizations increasingly recognize that traditional IT operations may not meet AI’s rapid development pace. Building strong AI foundations has become crucial for business survival in this new era.
