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Are the dark prediction about to become true or we are on the verge of a new revolutionary era brighter than ever before
Gartner’s 2013 Hype Cycle report for Emerging technologies is now out highlighting evolving relationship between human and machines. The Hype Cycle for Emerging Technologies report is the longest-running annual Hype Cycle, providing a cross-industry perspective on the technologies and trends that senior executives, CIOs, strategists, innovators, business developers and technology planners should consider in developing emerging-technology portfolios. It is the broadest aggregate Gartner Hype Cycle, featuring technologies that are the focus of attention because of particularly high levels of hype, or those that Gartner believes have the potential for significant impact,” said Jackie Fenn, vice president and Gartner fellow.
As the report predicts these may be good times for every active consumer on the planet including the most unsatisfied ones such as myself. The enterprise of the future is expected to be more productive offering better customer service thanks to the advent of sophisticated machines powered by artificial intelligence that will be able to mode consumer behavior and thus to adjust and personalize company’s offering to an individual level.
Below you can notice Gartner’s hype cycle for 2013 which can take us to several conclusions mentioned below
Source – Gartner, August 2013
1. Human and machines working together alongside
Checking patient background and diagnosis history will be done by machine while patient is approaching the doctor for consulting. Current example for this is IBM’s Watson
2. Augmenting humans with technology
Consider for example if all employees had access to attachable technology that could answer any product or service question or pull up any enterprise data at will. The ability to improve productivity, or sell better will increase significantly. Enterprises interested in these technologies should look to bioacoustic sensing, 3D bioprinting, brain-computer interface, human augmentation, speech-to-speech translation gesture control etc.
3. Machines better understand human and environment
This simply can include information generation based on the location of the user or even information delivery based on the user’s current emotional state as interpreted by the machine up to to complex dialoguing with customers, such as virtual assistants using natural language question and answering to interact on customer inquiries. The technologies on this year’s Hype Cycle that represent these capabilities include bioacoustic sensing, smart dust, quantified self, brain computer interface, affective computing, biochips, 3D scanners, natural-language question and answering (NLQA), content analytics, mobile health monitoring, gesture control, activity streams, biometric authentication methods, location intelligence and speech recognition.
The full Garther Hype Cycle report will help you with indepth understarting within your particular area of interest. Feel free to download it from their official research database here (user acount required)