Everyone talks about how much data's in the world. Except, actually, 80% of it is pretty blind to computers. I mean, it can store it. But if it's a movie, a poem, a song, it doesn't know what it's actually saying or doing.

In this quote, Ginni Rometty discusses the overwhelming amount of data generated in the world and the limitations of computers in understanding or processing this data. While computers are capable of storing vast quantities of data, Rometty highlights that much of it, such as movies, poems, or songs, remains "blind" to the machine. Essentially, while computers can record and store these forms of data, they are unable to comprehend the meaning or context behind them in the same way humans can. This underscores a gap in the capabilities of artificial intelligence and machine learning in fully interpreting complex human expressions.

Rometty points to the fact that much of the data produced today is not structured in ways that computers can easily process. For example, while a song or poem might be stored as data, the emotional depth, cultural context, or underlying message is lost on the machine. This limitation highlights the challenge of teaching computers to understand context, emotion, and subjectivity, which are crucial elements in human communication and creativity.

The origin of this quote comes from Rometty’s role as the CEO of IBM, a company at the forefront of artificial intelligence and data analysis. As the leader of a company that deals with vast amounts of data, Rometty’s statement reflects her recognition of both the incredible potential of data in the digital age and the significant hurdles that still exist in developing technology that can truly understand it. This speaks to ongoing advancements in AI and natural language processing, which are attempting to bridge the gap between raw data and meaningful interpretation.

Rometty’s quote also speaks to the broader discussion around the limits of technology in replicating human understanding. Despite the technological advances in data storage and AI, there remains a gap in fully understanding the nuances of human creativity and expression. Her words highlight the need for continued innovation to allow computers to not just store but also comprehend the vast and complex array of data generated in today’s world.