To effectively leverage the power of GenAI, customer organizations must strategically utilize rich, high-quality data. The best prototypical use cases rely on this quality data. To obtain this level of data requires a balanced blend of skill sets, budgets, and resources. Mostly it demands ongoing collaboration between customer business and IT teams, along with their trusted technology advisors to establish the right priorities.
Top priority for all use cases is for customers to leverage their own unique data, which enables them to utilize domain and enterprise-specific use cases, creating industry value through tasks or functions for which they have exclusive ownership. Public LLMs trained on vast amounts of data text are like virtual libraries - helpful for general use, but not optimal for answering specific questions regarding your customers’ organizational data.
Their data is the ultimate differentiator. It is critical to incorporate their authoritative information to drive accurate and reliable content. You can help them easily by starting small and using pretrained models and curated tool sets on workstations, and then expanding to the enterprise when the business is ready. You can also assist them in keeping proprietary data secure by bringing AI to their data - as opposed to bringing their data to AI. This way every workgroup and department in the customer’s enterprise can benefit from data-driven content creation.[JJ1]
In the dynamic world of artificial intelligence and generative AI (GenAI), retrieval augmented generation (RAG) is emerging as a new and groundbreaking force. While ChatGPT democratized access to data science results, creating or modifying GenAI models was still elusive to all but the largest organizations. Today, RAG is making AI accessible to any and every organization.
Generative AI-powered content creation can be used in a wide variety of workstreams, across teams and departments. Below are some compelling use cases where Generative AI content creation can help:
Marketing content - Craft tailored marketing content at scale based on consumer data, behavioral trends, and CRM or ERP account data
Back-office operations - Accelerate the creation of regular business reports, financial summaries, and market analyses
Sales collateral - Create new materials for account planning, customer communications, and sales proposals
Technical documentation - Simplify the creation of technical manuals, documentation, and best practices
Dell Technologies offers the world’s broadest Generative AI solutions portfolio, from desktop to data center to cloud* – and accessible all in one place. By bringing AI to your customer data, they ensure strict data sovereignty and compliance requirements while assisting you in right-sizing your customers’ AI infrastructure to reduce costs, support sustainability objectives, and keep them in control of the model and their data.
*Based on Dell analysis, August 2023. Dell Technologies offers solutions engineered to support AI workloads from Workstations PCs (mobile and fixed) to Servers for High-performance Computing, Data Storage, Cloud Native Software-Defined Infrastructure, Networking Switches, Data Protection, HCI and Services. CLM-009177