Category Archives: Fashion

Applying Gmail Labels Across All Google Assets: Docs, Photos, Contacts + Dashboard, Portal View

Google applications contain [types of] assets,  either created within the application, or imported into the application.    In Gmail, you have objects, emails, and Gmail enables users to add metadata to the email in the form of tags or “Labels”.  Labeling emails is a very easy way to organize these assets, emails.   If you’re a bit more organized, you may even devise a logical taxonomy to classify your emails.

An email can also be put into a folder and this is completely different than what we are talking about with labels.  An email may be placed into a folder, and have a parent child folder hierarchy.  Only the name of the folder, and it’s correlations to positions in the hierarchy provide this relational metadata.

For personal use, or for small to medium size businesses, users may want to categorize  all of the Google “objects” from each Google App,  so why Isn’t there the capability to apply labels across all Google App assets?  If you work at a law firm, for example, and have documents in Google Docs, and use Google for email, it would be ideal to leverage a company wide taxonomy, and upon any internal search discover all objects logically grouped in a container by labels.

For each Google object asset, such as email in Gmail, users may apply N number of labels to each Google Object asset.

A [Google] dashboard, or portal view may be used to display and access Google assets across Google applications, grouped by Labels .  A Google Apps “Portal Search” may consist of queries that contain asset labels.  A  relational, Google object repository containing assets across all object types (e.g. Google Docs), may be leveraged to store metadata about each Google asset and their relationships.

A [Google] dashboard, or portal view may be organized around individuals (e.g. personal), teams, or an organization.  So, in a law firm, for example, a case number label could be applied to Google Docs,  Google Photos (i.e. Photos and Videos),  and of course, Gmail.

A relatively simple feature to be implemented with a lot of value for Google’s clients, us?  So, why isn’t it implemented?

One better, when we have facial recognition code implemented in Photos (and Videos), applying Google labels to media assets may allow for correlation of Emails to Photos with a rule based engine.

The Google Search has expanded into the mobile Google app.

Leveraging Google “Cards“, developers may create “Cards” for a single or group of Google assets.   Grouping of Google assets may be applied using “Labels”.   As Google assets go through a business or personal user workflow, additional metadata may be added to the asset, such as additional “Labels”.

Expanding upon this solution,  scripts may be created to “push” assets through a workflow, perhaps using Google Cloud Functions.  Google “Cards” may be leveraged as “the bit” that informs users when they have new items to process in a workflow.

Metadata, or Labels, may be used such as “Document Ready for Legal Review” or “Legal Document Review Completed”.

The Race Is On to Control Artificial Intelligence, and Tech’s Future

Amazon, Google, IBM and Microsoft are using high salaries and games pitting humans against computers to try to claim the standard on which all companies will build their A.I. technology.

In this fight — no doubt in its early stages — the big tech companies are engaged in tit-for-tat publicity stunts, circling the same start-ups that could provide the technology pieces they are missing and, perhaps most important, trying to hire the same brains.

For years, tech companies have used man-versus-machine competitions to show they are making progress on A.I. In 1997, an IBM computer beat the chess champion Garry Kasparov. Five years ago, IBM went even further when its Watson system won a three-day match on the television trivia show “Jeopardy!” Today, Watson is the centerpiece of IBM’s A.I. efforts.

Today, only about 1 percent of all software apps have A.I. features, IDC estimates. By 2018, IDC predicts, at least 50 percent of developers will include A.I. features in what they create.

Source: The Race Is On to Control Artificial Intelligence, and Tech’s Future – The New York Times

The next “tit-for-tat” publicity stunt should most definitely be a battle with robots, exactly like BattleBots, except…

  1. Use A.I. to consume vast amounts of video footage from previous bot battles, while identifying key elements of bot design that gave a bot the ‘upper hand’.  From a human cognition perspective, this exercise may be subjective. The BattleBot scoring process can play a factor in 1) conceiving designs, and 2) defining ‘rules’ of engagement.
  2. Use A.I. to produce BattleBot designs for humans to assemble.
  3. Autonomous battles, bot on bot, based on Artificial Intelligence battle ‘rules’ acquired from the input and analysis of video footage.

Pebble Smart Watch Tells When Phone Calls, Emails Arrive – Walt Mossberg – Personal Technology – AllThingsD

Pebble Smart Watch Tells When Phone Calls, Emails Arrive – Walt Mossberg – Personal Technology – AllThingsD.

Personal Update: Agree with the article for the most part.  It’s a stepping stone on what can be, excuise the play on words, “Pebble” Smart Watch, but in this economy, it’s iffy if it will thrive.