Our guest on the podcast this week is Andy Thurai, Chief Strategist, IBM Watson Cloud Platform - CTO Office, IBM Cloud at IBM.
We discuss dark data and how IBM Watson can understand it for decision-making. Normally when people refer to data they think of structured data in rows of numbers. But in last few years, the data has changed into images, videos, medical scans, sensor scans, audio, telematics. This dark data is unstructured, which makes it difficult to analyze with existing systems. That makes it hard to use it to make decisions. Currently 80% of the world’s data collection is dark data and that’s expected to grow to 90% by 2020. So if you’re running a data insights-based company, you need to analyze this unstructured data. IBM Watson can read the unstructured data, and it can make meaning out of it. Imagine a home security camera that recognizes the UPS uniform and lets you know when your package arrives. This is an example of machines assisting humankind, not competing with it.
Facebook, Uber, and Google are fast-moving companies that are becoming the new definition of “Enterprises”. Traditional enterprises are trying to keep up with their speed. Looking at the innovative businesses, one common thread is that they all have a huge investment in cloud and in AI. It’s not just about machine learning and deep learning. Ultimately if you can have machines understand the user in their native tongue, when they need it most, and understand the urgency, the needs, the emotions at that time it will help you make critical decisions based on human context. That is a powerful differentiation for your business in the marketplace for any enterprise.