Generative Artificial Intelligence (GenAI) has rapidly emerged as a powerful tool for organizations, offering the potential for transformation at all levels. With GenAI, employees gain access to powerful content creation tools, users can leverage previously unimaginable workflows, and solutions without […]
Generative Artificial Intelligence (GenAI) has rapidly emerged as a powerful tool for organizations, offering the potential for transformation at all levels. With GenAI, employees gain access to powerful content creation tools, users can leverage previously unimaginable workflows, and solutions without coding become more accessible than ever before. But along with these possibilities comes a need for IT organizations to take control and ensure the proper management and security of GenAI.
Why do IT organizations need to act now on GenAI?
The truth is, many organizations are already using GenAI ad-hoc, even if they don’t have a formal policy in place. This presents a significant risk as the use of GenAI continues to grow. IT organizations need to take the lead in embracing and managing GenAI to avoid falling behind their competitors.
Taking the driver’s seat with GenAI – 5 steps to consider
1. Educate Yourself: Become the most informed person in the room when it comes to GenAI. Educate yourself not only on how to adopt and integrate GenAI technologies from an infrastructure standpoint but also on how to use them effectively. A leader who understands GenAI, from the hardware in the data center to the command-line interface, is more persuasive and capable of leading the way.
2. Take Control Now: Establish a plan to protect your organization’s intellectual property and data while enabling proper access to GenAI. This may involve adopting a hybrid or on-premises approach to GenAI adoption, which offers greater control over costs and energy consumption. But remember, the time to act is now, as GenAI usage continues to rise.
3. Define Priorities: Collaborate with colleagues from different business sectors to identify the broadest range of GenAI usage within the organization. This process can help prioritize which use cases will deliver the most significant value and quick results. Look for opportunities where shared architectures and datasets can cover multiple use cases.
4. Start with Simple Pilots: Implementing GenAI doesn’t have to be a lengthy and complex process. Depending on the identified use cases and data volumes, it is possible to set up pilot projects using existing infrastructure and open-source models. For example, Dell provides code samples to help organizations quickly get started with retrieval augmented generation (RAG) on their own infrastructure.
5. Enable Users: While IT plays a crucial role in implementing GenAI, it is equally important to ensure that users know how to make the most of this technology. Training and education are vital elements of GenAI adoption, and IT is well-positioned to facilitate this process. No other group within the organization is better equipped to explain the nuances of GenAI to everyday users and help them leverage it for innovation.
Take action now!
As the organization responsible for managing and maintaining the infrastructure that powers the company, IT is uniquely positioned to leverage the benefits that GenAI offers. However, these resources will not be effective if IT does not take the lead. It is time for IT to embrace GenAI and drive innovation within the organization. Only then can an organization fully realize the potential of generative artificial intelligence.