Friday Data Stories: Manufacturing Businesses and Web 3.0

You have probably heard of Web and Web 2.0.  Have you heard of Web 3.0 or the semantic web? Not many people have.  I recently read Booz & Co analytical report on why and how businesses need to adopt Web 3.0 entitled Businesses should prepare for Web 3.0.

Download the report and have a read.  I’d be interested to get your feedback on what you think. (Report requires registration)  Here is a related article also by Booz & Co. The Booz & Co article discusses elements of the “transcendent web”. Here is the interesting passage that explains what that is:

Web 3.0 – what we call the “transcendent web” – has four key elements

·      The “social web” will greatly enhance the capabilities of social networking, allowing for more powerful search, location, recommendation and similar services.

·      The “semantic web” will connect all the web’s data and information much more closely, enabling contextually-based search and research.

·     The “internet of things” will let web-connected machines of all kinds communicate with each other and with us, creating a rich flow of data about their location and status.

·      And thanks to advances in “artificial intelligence”, all this information can be aggregated and analysed to further refine search, recommendations, and other kinds of information filtering.

Not all these elements will occur overnight. However, Booz&Co recommends businesses start preparing for Web 3.0.  To wit:

“Every company should be planning for its arrival by opening business systems to the increased flow of data, investigating new data management and tagging techniques, and developing the skills and capabilities that will be needed when the transcendent web becomes a reality.”

Lets’ now talk about manufacturing companies and Web 3.0.  Manufacturers have lots of data inside and even more data outside. To connect inside data about products with outside data about consumers can be extremely beneficial for many manufacturing companies. The communication between pieces of data and real people, i.e. consumers, presents an extremely interesting opportunity.  What do you think?

What is Inforbix’s take? Inforbix help manufacturing companies extract value from their data product without requiring significant changes to the way the data is organized.  We don’t change, move or re-format data. Instead of this, we index data in its original location and apply Web 3.0 principles and technology.  It’s a “next generation” approach to data “management” without the “management”… makes sense?  And this is but a first step.  We will continue to strive for further manufacturing domain specific adoption of Web 3.0 principles and technology to develop new types of data consumption tools.  Become a part of this new wave.  Send us your thoughts and feedback.

Best, Oleg