Generative artificial intelligence (GenAI) is reshaping the business landscape and presenting new opportunities for those willing to embrace it.

Generative artificial intelligence (GenAI) is reshaping the business landscape and presenting new opportunities for those willing to embrace it. Yet, despite more companies exploring how this technology can enhance their operations, realizing its full potential remains challenging. From security and compliance issues to the need for specialized skills and advanced technology, implementing GenAI presents significant hurdles that require strategic solutions.

The primary challenge lies in the risks associated with using large language models (LLMs), which often require processing vast amounts of sensitive data. This poses a potential threat if the information falls into unauthorized hands, compromising both customer privacy and the company’s integrity. Additionally, the rapid evolution of this technology has created a gap in access to skilled personnel, infrastructure, and sufficient financial resources to handle the investment and maintenance costs of a GenAI solution.

Despite these challenges, businesses have the opportunity to gain an edge with GenAI, provided they adopt a prudent and structured approach. A well-planned implementation allows companies to maximize return on investment without compromising security or regulatory compliance.

Beyond traditional infrastructure

Businesses looking to succeed with GenAI implementation should invest in an “AI factory” infrastructure designed to build and scale AI models according to their specific goals and capabilities. This infrastructure comprises various elements that together offer a robust foundation for implementing and sustaining GenAI. For example, solutions like Dell and NVIDIA’s AI factory provide:

• Accelerated servers with GPUs and scalable storage options.

• PCs and workstations optimized for GenAI deployments.

• Storage options designed for maximum data protection.

• Networking solutions to meet high workload demands.

• Data management tools that enable quick and precise AI model adjustments.

• Subscription solutions and tailored services to optimize costs.

Create customized digital agents powered by GenAI

With a strong foundation in place, companies can develop digital agents that surpass traditional chatbots in functionality. GenAI-powered digital agents not only answer questions accurately but also understand the context of conversations and nonverbal cues, enabling personalized customer experiences. Dell offers validated designs for building digital agents with GenAI, supported by technologies like retrieval-augmented generation (RAG), for secure information retrieval and advanced rendering capabilities.

Enterprise-Ready code generation with GenAI

Beyond content, GenAI enables automated code generation, easing developers’ workloads for repetitive tasks. However, code generation must be carefully controlled to avoid compliance risks and intellectual property issues. To overcome these challenges, it’s necessary to establish standardized practices and set boundaries within the GenAI system. Companies can, for instance, pre-configure secure code examples and preferred processes to tailor code generation for their operational environment.

Optimizing Decision-Making with Synthetic Data

The sensitive and regulated nature of business data can hinder the use of GenAI in some environments. Synthetic data, artificially created yet highly realistic, enables modelling and analysis without compromising confidentiality or privacy. This is particularly useful in industries such as healthcare or highly confidential areas like cybersecurity, where obtaining real data is complex. This data can also be combined with real datasets to achieve more robust analyses and improve the accuracy of business decisions.

Pioneering companies in GenAI, such as Taboola and Northwestern Medicine, demonstrate what’s possible with optimized infrastructure. For example, Taboola uses an AI solution based on thousands of servers to deliver targeted content to millions of users daily. Northwestern Medicine has improved its radiology performance by up to 40% by implementing high-performance servers designed for GenAI. These cases demonstrate how optimized infrastructure facilitates the effective integration of generative AI into business operations, resulting in noticeable improvements in efficiency and business outcomes.

Accéder: your partner for effective GenAI implementations

To fully harness the potential of GenAI, having an expert partner in implementation and strategy is crucial. At Accéder, we offer comprehensive solutions that guide your company through the planning and execution of GenAI, ensuring that each stage is tailored to your specific goals and needs. From initial infrastructure to synthetic data generation and digital agent deployment, Accéder is your trusted partner in transforming artificial intelligence into real competitive advantages.