To harness the power of generative AI, the article suggests a phased approach. This involves a thorough examination of use cases, infrastructure needs, goals, and next steps. It emphasizes the need for R&D and go-to-market teams to innovate responsibly and efficiently, and to consider the far-reaching consequences of AI on business workflows and customer products.
Key takeaways:
- Generative AI, such as ChatGPT, is set to drive a $7 trillion increase in GDP and boost global productivity by 1.5%, reimagining business priorities for decades to come.
- While generative AI technologies have opened the door to breakthrough thinking, they also present challenges such as the 'hallucination' problem, which can lead to data errors.
- Data errors in areas like investment portfolios could lead to lost revenue, missed regulatory filings, and a complete distrust of the technology.
- Technologists can unlock the potential power of generative AI by taking a phased approach, examining use cases, infrastructure needs, goals, and next steps.