Cognitive technologies enhance enterprise software Deloitte Global predicts that by end-2016 more than Deloitte Global expects cognitive technologies will be 80 of the world’s 100 largest enterprise software deployed to differing extents by enterprise software companies by revenues will have integrated cognitive companies, but we want to take the time to define 110 technologies into their products , a 25 percent increase what are likely to be the three most widely used in the 112 on the prior year when 64 of the top 100 had launched near-term : products and services which featured one or more 111 Machine learning – the ability of computer systems cognitive technologies in 2015 . By 2020, we expect about 95 percent of the top 100 will have incorporated to improve their performance by exposure to data one or more cognitive technologies. but without the need to follow explicitly-programmed instructions – is likely to be the most prevalent. It We expect that the cognitive technologies that will be enhances a large array of applications, from classification the most important in the enterprise software market to prediction, from anomaly detection to personalization. in 2016 will be: machine learning, natural language processing and speech recognition. Natural language processing (NLP) – whereby computers can process text in the same way as humans, What do we mean by cognitive technologies and for example extracting meaning from text or even artificial intelligence (AI)? We distinguish between the generating text that is readable, stylistically natural, field of AI and the technologies that emanate from the and grammatically correct – has multiple valuable field. The popular press portrays AI as the advent of applications when incorporated in software that computers as smart as – or smarter than – humans. The analyses unstructured text. individual technologies, by contrast, are getting steadily better at performing specific tasks that were formerly Speech recognition – the ability to automatically only deliverable by humans. Figure 7 identifies the and accurately transcribe human speech, is useful for leading cognitive technologies that business and public applications that may benefit from hands-free modes of sector leaders are likely to benefit from in 2016. operation. Figure 7: Widely used cognitive technologies Computer Machine Natural vision learning language processing Speech Optimization recognition Rules- Robotics Planning based systems & scheduling Graphic eloitte niversity Press Source eloitte evelopment C  ­€ Technology, Media & Telecommunications Predictions 2016 17