Gartner’s 2013 Hype Cycle for Emerging Technologies

Gartner published it’s annual ‘Hype Cycle for Emerging Technologies‘ and (like it always does) it inspires!
Read the full article here.

Here it is, this year’s Hype Cycle!

Gartner’s 2013 Hype Cycle for Emerging Technologies

And like you would have guessed, the hot topics this year are:

Source: Gartner August 2013
The 2013 Emerging Technologies Hype Cycle highlights technologies that support all six of these areas including:

1. Augmenting humans with technology

Google-Glass

Technologies make it possible to augment human performance in physical, emotional and cognitive areas. The main benefit to enterprises in augmenting humans with technology is to create a more capable workforce. For example, consider if all employees had access to wearable technology that could answer any product or service question or pull up any enterprise data at will. The ability to improve productivity, sell better or serve customer better will increase significantly. Enterprises interested in these technologies should look to bioacoustic sensing, quantified self, 3D bioprinting, brain-computer interface, human augmentation, speech-to-speech translation, neurobusiness, wearable user interfaces, augmented reality and gesture control.

2. Machines replacing humans
There are clear opportunities for machines to replace humans: dangerous work, simpler yet expensive-to-perform tasks and repetitive tasks. The main benefit to having machines replace humans is improved productivity, less danger to humans and sometimes better quality work or responses. For example, a highly capable virtual customer service agent could field the many straightforward questions from customers and replace much of the customer service agents’ “volume” work — with the most up-to-date information. Enterprises should look to some of these representative technologies for sources of innovation on how machines can take over human tasks: volumetric and holographic displays, autonomous vehicles, mobile robots and virtual assistants.

3. Humans and machines working alongside each other

Bald is beautiful

Humans versus machines is not a binary decision, there are times when machines working alongside humans is a better choice. A new generation of robots is being built to work alongside humans. IBM’s Watson does background research for doctors, just like a research assistant, to ensure they account for all the latest clinical, research and other information when making diagnoses or suggesting treatments. The main benefits of having machines working alongside humans are the ability to access the best of both worlds (that is, productivity and speed from machines, emotional intelligence and the ability to handle the unknown from humans). Technologies that represent and support this trend include autonomous vehicles, mobile robots, natural language question and answering, and virtual assistants.
The three trends that will change the workforce and the everyday lives of humans in the future are enabled by a set of technologies that help both machine and humans better understand each other. The following three areas are a necessary foundation for the synergistic relationships to evolve between humans and machines:

4. Machines better understanding humans and the environment
Machines and systems can only benefit from a better understanding of human context, humans and human emotion. This understanding leads to simple context-aware interactions, such as displaying an operational report for the location closest to the user; to better understanding customers, such as gauging consumer sentiment for a new product line by analyzing Facebook postings; 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.

5. Humans better understanding machines

Robot-arm

As machines get smarter and start automating more human tasks, humans will need to trust the machines and feel safe. The technologies that make up the Internet of things will provide increased visibility into how machines are operating and the environmental situation they are operating in. For example, IBM’s Watson provides “confidence” scores for the answers it provides to humans while Baxter shows a confused facial expression on its screen when it does not know what to do. MIT has also been working on Kismet, a robot that senses social cues from visual and auditory sensors, and responds with facial expressions that demonstrate understanding. These types of technology are very important in allowing humans and machines to work together. The 2013 Hype Cycle features Internet of Things, machine-to-machine communication services, mesh networks: sensor and activity streams.

6. Machines and humans becoming smarter
The surge in big data, analytics and cognitive computing approaches will provide decision support and automation to humans, and awareness and intelligence to machines. These technologies can be used to make both humans and things smarter. NLQA technology can improve a virtual customer service representative. NLQA can also be used by doctors to research huge amounts of medical journals and clinical tests to help diagnose an ailment or choose a suitable treatment plan. These supporting technologies are foundational for both humans and machines as we move forward to a digital future and enterprises should consider quantum computing, prescriptive analytics, neurobusiness, NLQA, big data, complex event processing, in-memory database management system (DBMS), cloud computing, in-memory analytics and predictive analytics.


Previous Hype Cycles:

Gartner’s 2012 Hype Cycle for Emerging Technologies




Gartner’s 2011 Hype Cycle for Emerging Technologies





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What is Big Data?

Big Data – Definition

There is no universal definition of what constitutes “Big Data” and Wikipedia offers only a very weak and incomplete one: “Big data is a term applied to data sets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time”.

IBM offers a good, simple overview:

Big data spans three dimensions: Volume, Velocity and Variety.

Volume – Big data comes in one size: large. Enterprises are awash with data, easily amassing terabytes and even petabytes of information.
Velocity – Often time-sensitive, big data must be used as it is streaming in to the enterprise in order to maximize its value to the business.
Variety – Big data extends beyond structured data, including unstructured data of all varieties: text, audio, video, click streams, log files and more.

Bryan Smith of MSDN adds a fourth V:

Variability – Defined as the differing ways in which the data may be interpreted. Differing questions require differing interpretations.

Google Trends on Big Data:
Below is a figure from Google Trends showing the growth of search interest for “big data” as compared to “web analytics” and “business intelligence”:

Big Data Terms / Tags:

Source article

Want to read more about Big Data?
Marc Smith from Social Media Research Foundation Speaks on Big Data

Gartner’s 2012 Hype Cycle for Emerging Technologies

Gartner published it’s annual ‘Hype Cycle for Emerging Technologies‘ last week and (like it always does) it inspires!
Read the full article here.

Here it is, this year’s Hype Cycle!


And like you would have guessed, the hot topics this year are:

Big Data

3D Printing (Lara Croft example)

Sculpture and Wire Frames by Spike_Wolf.
Want to see more? Click here (Dutch technology website)

Social Analytics

The newcomers!:

Holographic Displays


3D Bioprinting

Gartner’s 2011 Hype Cycle for Emerging Technologies