Gartner Experts Answer the Top Generative AI Questions for Your Enterprise
Generative AI is revolutionizing industries across the board, from pharmaceuticals to media to manufacturing. Top AI Questions for Your Enterprise As this technology gains traction, enterprises are eager to understand how it can create value, influence the future of work, and affect broader aspects like governance and ethics. Here are the top questions about Generative AI, answered by Gartner experts.
What are Some Practical Uses of Generative AI Today?
Generative AI’s practical applications are vast and continuously evolving. They range from augmenting written content, question answering, and chatbot improvement to software code generation. Generative AI has helped automate design, marketing copy, and more in the creative fields. The technology is not limited to text; it can also create visual and audio content, providing businesses with an arsenal of tools to drive engagement and enhance productivity.
How Will Generative AI Contribute to Business Value?
Generative AI has the potential to serve as a new revenue generator, productivity enhancer, and risk mitigator. By leveraging AI for product development, enterprises can accelerate the time-to-market for new products, including drugs, household cleaners, and digital services. Generative AI can also augment worker capabilities, enhancing productivity across various departments from marketing to software development.
Which Industries Will be Most Impacted?
Industries like pharmaceuticals, manufacturing, and media are on the front lines of integrating Generative AI into their core processes. By 2025, Gartner predicts that more than 30% of new drugs will be systematically discovered using Generative AI techniques. Similarly, industries like automotive and aerospace are also using generative design to optimize products.
What are the Best Practices for Using Generative AI?
When implementing Generative AI, it’s crucial to adhere to ethical guidelines and ensure transparency. Pilot the technology internally before deploying it to external stakeholders. Be aware of biases and continually validate the model’s results. Address privacy and security concerns rigorously.
Should Enterprises Craft a Usage Policy?
Absolutely. Without a usage policy, enterprises risk “shadow” usage and potential non-compliance. The policy should be simple but clear, outlining what is acceptable and what is not. For example, inputting sensitive information or company IP without clearance could be strictly prohibited.
How Will Generative AI Impact the Future of Work?
Generative AI will redefine roles within the enterprise. Many employees will transition from being content creators to content editors, focusing on refining AI-generated materials. Applications will become more interactive, making it imperative for employees to adapt to a more dynamic, AI-augmented working environment.
Where Should Enterprises Start?
Enterprises can start with one of three approaches: using off-the-shelf models, prompt engineering, or custom foundational models. The choice depends on the specific needs, data privacy considerations, and the level of customization required.
What Do I Need to Buy to Enable Generative AI?
The cost of implementing Generative AI varies. SMEs may find value in free versions of publicly available models like ChatGPT, while larger enterprises may need custom services that can run into millions of dollars. Companies can also expect to see Generative AI features in everyday software products, incorporated into subscription costs.
By 2026, Gartner predicts that generative design AI will automate 60% of the design effort for new websites and mobile apps. Generative AI will increasingly become a competitive edge for enterprises that adopt it intelligently.
Generative AI is a transformative technology that has already started impacting multiple industries. Top AI Questions for Your Enterprise as the technology matures, adherence to ethical guidelines and proper governance will be key. But the potential benefits, from boosting revenues to enhancing productivity and mitigating risks, make Generative AI an indispensable tool for modern enterprises.