Fulfilling the Promise of Generative AI 6 Opportunities for GenAI to Change … Everything GenAI’s ability to transform the way in which organizations use data for economic, operational, and even reputational gains is now widely embraced and established. If there is any lingering debate, it’s on how much, how fast, and how efÏciently GenAI can be leveraged to support more use cases. GenAI’s coming role in nearly every organization larger than a neighborhood lemonade stand is essential for a number of reasons, not the least of which is how to leverage the massive growth in data coming from more and more data sources. The evolution from the days of PC-based servers and legacy data centers is now complete: New, wider-ranging and more functional architectures, including edge systems, internet of things endpoints, and ubiquitous cloud computing, generate oceans of data— 66% a trend that will only accelerate. In addition to having more data—and more useful data—at its disposal, GenAI has benefitted from numerous other trends: of organizations say improving operational efÏciency is a AI infrastructure has made incredible New models are constantly GenAI and machine learning (ML) are gains in its ability to capture, process, emerging to speed and improve major shapers of organizations’ overall store, analyze, and share all this data— training and inference. drive to transform their data science primary business and actually make sense of it all in real initiatives. In fact, 66% of organizations time. Research indicates that high- say improving operational efÏciency is objective of their performance computing capabilities a primary business objective of their is the most commonly cited factor data science initiatives, followed by organizations consider important when improving product development and data science selecting AI infrastructure.³ innovation (60%).4 initiatives. © 2024 TechTarget, Inc. All Rights Reserved. ³Source: Enterprise Strategy Group Research Report, Navigating the Evolving AI Infrastructure Landscape, September 2023. 4Source: Enterprise Strategy Group Research Report, Decoding the Data Universe: The State of Data Science and Machine Learning, January 2024. Back to contents