Amid the AI boom, enterprises are working to find the right balance between exploring its potential and implementing it at scale. Many customers we speak with face similar barriers to achieving ROI with AI:
- Determining the right technology stack
- Understanding where to start with specific use cases
- Working through the data bottleneck
- Identifying where their workloads should reside
Navigating the AI Technology Stack
Investing in AI is a major commitment. Understanding the GPUs, tools and software orchestration—and how they work together—can also feel overwhelming. Before fully committing, customers want to know there’s a practical, streamlined solution that can justify their investment.
Our Dell AI Factory with NVIDIA simplifies the deployment of infrastructure, software and services to remove the guesswork and accelerate time to value. We work closely with customers to ensure software platforms including Kubernetes, NVIDIA Run:ai, NVIDIA AI Enterprise and others are configured and optimized for full utilization by their in-house AI teams.
As a strategic AI solutions partner, we use a structured delivery framework to help enterprises streamline implementation and minimize downtime. This ensures AI systems are fully operational from day one while equipping internal teams with the training needed to manage the platform effectively after implementation.
Knowing Where To Start
A growing number of customers are asking us to help them evaluate specific, high-value use cases. We start by asking what makes them unique. For many, customer service is a competitive differentiator, so using AI for predictive analytics and natural language processing will help enhance customer service automation.
Enterprises need targeted AI solutions suited to their strategy and unique requirements. It’s important to experiment and scale their AI use cases safely and efficiently in secure GPU-based infrastructures on-premises or in private environments. Creating a secure environment where organizations can test and validate specific use cases using their own data—within a controlled and compliant infrastructure—is critical to achieving the desired ROI for real-world applications. Once the models are validated, they can be integrated into larger systems to ensure compatibility, scalability and performance across a multitude of software solutions.
Fixing the Data Bottleneck
Data is the fuel for AI, but it needs to be optimized for the engine. The process of cleansing, labeling and organizing data is often one of the biggest challenges to scaling AI workloads.
Our data preparation and management expertise allows organizations to integrate and optimize their high-quality, relevant data to achieve maximum ROI. With the right data strategy in place, we recently helped a financial services customer reduce data pipeline time from three hours to three minutes. Customers find value in data services because it enables them to fully utilize their AI infrastructure and generate better outcomes for AI investments.
Optimizing AI Workload Placement
Compliance, latency requirements, cost and long-term scalability are all considerations when determining where data should reside. For instance, a pharmaceutical company will likely want to conduct drug discovery on-premises, but they may host less sensitive workloads in the public cloud. Ultimately, organizations must define what data should live where and factor in the associated costs of maintaining that model to meet their long-term goals, knowing this will evolve.
Determining the most suitable hosting environment for AI workloads is key to ensuring a smooth transition across cloud, on-premises and hybrid environments. We help customers do this with professional advisory services, comprehensive workload migration support and managed services for generative AI. This strategic approach empowers organizations to better manage their AI workloads within hybrid ecosystems and fosters sustainable growth.
Recognized by Forbes as one of the world’s best management consulting firms, we know successfully adopting AI is complex. But simplifying the process is key to effective implementation at every stage of the journey. That’s where partnering with an expert services team makes all the difference. Contact your Dell representative and let us help remove the complexity so you can focus on tangible ROI for your business.
