Finding reliable partners and developing a deployment strategy becomes a priority. Here are four critical aspects to consider before integrating AI into a company’s arsenal of tools:
1. Establish a reliable data source for secure and scalable generative AI:
Input data determines results, and before trusting generative AI, a business must be confident in the quality and privacy of its data. To determine whether generative AI can be reliably deployed, companies need a robust and agile database that includes privacy and quality. They must also examine the addition of new technologies across their entire IT assets rather than being limited to a single silo.
2. Investigate Use Cases Before Applying Generative AI Technology:
Although generative AI tools can improve productivity and employee experience, not all use cases necessarily justify the investment. Experts can guide the identification of opportunities to ensure ROI. For example, businesses may consider using resources that offer personalized services to clients to explore opportunities to responsibly and successfully apply generative AI to their business.
3. Use the Large Language Model Operations Framework (LLMOps):
For responsible and cost-effective use of data and generative AI technologies, enterprises should adopt the Large Language Model Operations (LLMOps) framework. By using the LLMOps framework, businesses will ensure that the data used is secure and reliable and that there is an appropriate architecture to route the information once it is generated. This framework needs to be integrated into a broader data and AI architecture.
4. Addition of new technology creates new complexities:
As new technologies, including generative AI, are added, managing IT assets becomes more complex. Using AIOps and FinOps services enables businesses to achieve their goals in a cost-effective, prudent and responsible manner. In fact, it is essential to have trusted contacts to provide recommendations on the best use of resources, technologies, and architectural options.
dn an ever-changing IT world, whether through the evolution of existing capabilities or new innovations aimed at improving the employee and customer experience, generative AI must be thoughtfully adopted. These tips can serve as a foundation for successful integration, ensuring tangible benefits while minimizing potential risks.
