Why data-driven applications need a governance framework
Summary
Speaking to Computer Weekly before his keynote presentation at Tibco Live, Petracek said: “Without proper care and planning, data will quickly become an unmanageable environment. The report’s authors noted: “Making effective use of neural networks in most applications requires large labelled training data sets alongside access to sufficient computing infrastructure. “Furthermore, these deep learning techniques are particularly powerful in extracting patterns from complex, multidimensional data types, such as images, video, and audio or speech.” Given that deep learning algorithms are adept at handling large, complex datasets, there is a growing belief across the IT industry that AI is at the heart of a new approach to designing and building data-driven applications. In his presentation at Tibco Live, the company’s chief operating office, Matt Quinn, asked delegates to consider how they might be hindering their own innovation by only basing assertions on what they already know. Even though tools today are vastly superior to those of yesteryear, we’re still putting the same principles of yesteryear on our systems today.” Whereas programmers previously developed software “hard-coded” to make decisions based on what they expected from the data, industry experts believe that AI leads to a new approach to application development, said Quinn, adding: “We need to rethink the way we build systems.”