What Was Worse In 2013 – Yahoo Mail Or YouTube Comments?

By Zach Walton  webpronews.com 
Bottomline:

With both tales of woe out of the way, which was worse – Yahoo Mail or YouTube comments? If we’re going strictly by the amount of negative comments, Yahoo Mail easily takes the cake. Granted, Yahoo Mail has had more time to anger users with its rollout beginning in June while the new YouTube comments only launched in November.
Without any good metric, we’re forced to let the readers decide. Were you angered more by Yahoo Mail or YouTube comments this year? Do you see any way that Yahoo and Google could improve their services going into 2014?

How Librarians Are Helping People Navigate the New Healthcare System Alissa Walker, Gawker Media

Alissa Walker, Gawker Media

 

Extract:

Dec 21, 2013, 01.30 AM IST

Lupie Leyva has answered questions about immigration issues, taught people how to use email, and once even helped a person make an appointment to see a family member who was incarcerated. "I've worked in public libraries for 10 years," she says. "Nothing surprises me anymore."

None of those things are technically in her job description as senior librarian at the Robert Louis Stevenson Library in Boyle Heights, a neighborhood in East L.A. But Leyva feels that these tasks are part of her role as a community provider of trust-or what she calls confianza. "That is the thing that we as a system provide," she says. "People trust us to try to find the best information we can." continue reading

Semantic search with a new brand name: Sentient code

Sentient code: An inside look at Stephen Wolfram’s utterly new, insanely ambitious computational paradigm, http://venturebeat.com

Highlights:

• ‘Insanely more ambitious’ than Google knowledge graph
• Making the computer do the work 
• Automation through information 
• Natural language input — kids can code?
• Where to Wolfram: Raspberry Pi, smartphones, devices
• Sentient code and intelligent objects

On the same shelf:

• Stephen Wolfram wants to leave Google, Wikipedia in the dust  washingtonpost.com   
• Digital Marketers: 'Insanely Ambitious' Wolfram Language Tools ... Search Engine Watch-by Miranda Miller
• New Wolfram Language Brings The Power Of Mathematica To Any Device Fast Company Magazine 
• How Online Retailers Can Leverage Unique Identifiers & Structured .. Search Engine Land-by Barbara Starr
• Semantic video search engine launched, E&T magazine

Addressing The Demographic Challenge Of Knowledge Management

Addressing The Demographic Challenge Of Knowledge Management  
Manufacturing.net   Nov 18

Extract:
When a large manufacturer calculated how much they could save by consolidating operations, they didn’t count the true cost of closing a location a few states away that had a 90-year history and hundreds of skilled employees. The oldest, most expert employees took early retirement. The mid-level employees, the company’s intellectual backbone, took their expertise to a competitor, rather than ...

These new systems are being built around these key ideas:

• Active and agile knowledge. The old knowledge library paradigm is too static. Knowledge is active, alive and has greatest value when used. It must be accessible, useful and relevant. Engineers don’t have time to stop what they are doing to dig for a manual — assuming they know where to look in the first place. Knowledge must push to workers in context.
• Accessible, complete and current knowledge. Knowledge is stored in a variety of disconnected documents that quickly fall out of date. An engineer may not have time to search for specification documents, best practices presentations and various spreadsheets of data. And if he grabs old parameters without realizing they are outdate, he may invest hours in a solution that is totally out of specification. Systems must make it easy for users to access a complete and current knowledge.
• Make knowledge capture part of the process. If people don’t have time to go search through documents, they surely don’t have time to create them. Efforts can vary in quality, depending on who creates them. Capturing knowledge, evaluating it, refining it and updating it has to be an organic part of the workflow — or it simply will not happen.
• Structured flexibility. Knowledge takes many forms and is used in many ways. An engineer might need materials specifications, dimension measurements, picture maps, work instructions and interdependency schedules to design a part. The system must be flexible and able to completely capture and structure that content for access and reuse.
• Reward knowledge contributions. Some people fear sharing their knowledge will make it easier to ship their job to China. Others take genuine pride in being the go-to person when someone has a question. A well-managed knowledge system uses such cultural issues to motivate, recognize and reward people for contributing. They create a virtuous circle of engagement, trust and use, with practical rewards that encourage more engagement and more use.