While Bryan Yurcan of Bank Tech, reports on financial institutions accumulating unstructured data at an increasingly rapid pace, and George Wright reveals the ever increasing difficulties of machine traffic, organiser of the Open-data Cities Conference, Greg Hadfield, gives his tips on emerging open-data technologies. Meanwhile, as GOOG +0.83% gives its Web-search formula a makeover, Amir Efrati defends Google’s turf against traditional search rivals MSFT, AAPL and Facebook Inc.
There are few semantic games around Google’s search-engine changes: It must defend its turf against traditional search rivals such as Microsoft Corp., MSFT +0.24% new entrants including Apple Inc. AAPL -0.69% and possibly even Facebook Inc. Google’s semantic-search effort could help it compete with Apple, which has jumped into voice-activated search with Siri. The software, loaded on Apple’s iPhone 4S, takes verbal commands and questions and responds with answers using computer-generated speech, finding the answers with search engines like Google and Wolfram Alpha, which uses semantic technology.
Google Inc. GOOG +0.83% is giving its tried-and-true Web-search formula a makeover as it tries to fix the shortcomings of today’s technology and maintain its dominant market share. Over the next few months, Google’s search engine will begin spitting out more than a list of blue Web links. It will also present more facts and direct answers to queries at the top of the search-results page.
Connectivity – and the “connectedness” it engenders – will be the air we breathe. The world we inhabit will be an “internet of things”, of which all kinds of objects – not just computers, tablets and phones – will be a part. Emerging technologies associated with a semantic web of data will power the innovative applications, services, and enterprises that will compete and combine to meet the needs of communities in the 21st century.
Financial institutions are accumulating data at a rapid pace. Between massive amounts of internal information and an ever-growing pool of unstructured data to deal with, banks’ data management and storage capabilities are being stretched thin. But relief may come in the form of semantic databases, which could be the next evolution in how banks manage big data, says David Saul, Chief Scientist for Boston-based State Street Corp.