Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Fritz Nelson

Fritz Nelson

Vice President, Editorial Director InformationWeek Business Technology Network

Google Now Points To Future Of Mobile

I've been testing Google Now for a few weeks on a Samsung Galaxy Nexus smartphone and the Google Nexus 7 tablet. Search innovation is alive and well.

Armed with your mobile phone you are now a mobile sensor, careening along your footpath, reading your email, consuming your information, enriching your journey with timely recommendations as you dodge passersby. Tap. Swipe. Pinch. Zoom. Learn of the world.

And the world quietly learns about you, at least as organized by Google.

Don't be frightened. Soon you won't be wondering what else you can do with your phone, you'll be amazed by what it does for you.

At least that's the promise of GoogleNow.

Google Now is more of a mobile experience than an application, more of a search service than a search action. It could well redefine mobile search.

Certainly its name betrays its ambition.

But we're getting ahead of ourselves. For starters, Google Now is still learning. It gets some things right, and some things oddly wrong. In that sense, it's more like Google Soon than Google Now.

Google Knowledge Graph

I've been testing Google Now for a few weeks on a Samsung Galaxy Nexus smartphone and the Google Nexus 7 tablet. Google Now is part of Jelly Bean, the newest version of Google's mobile Android operating system.

It’s powered by Google's Knowledge Graph, unveiled a few months ago. As Google puts it, the Knowledge Graph creates connections between objects (entities) based on observed relationships and patterns--observed, that is, through Google Search.

(Fast Company offers up some insight into Google Knowledge Graph, while Mashable has some excellent insights into how Knowledge Graph could change the future of search.)

King Penguin: Google Search Results

Today, for instance, when you search for penguins, Google presents a panel on the right-hand side of the search page showing the Pittsburgh-based hockey team or the animal. A subtle but important shift, Google would say, from being an information engine to becoming a knowledge engine. What's more, the search for "king penguin" provides rich information, including its scientific name, species and so on. The Knowledge Graph attempts to provide the information it thinks you'll want.

If the Knowledge Graph is about delivering the right content, Google Now is about delivering it in the right context.

How Google Now Works

There are three (and a half) ways to access Google Now directly: from the search bar on the Android home screen, from the Google app, and by swiping up from the bottom of the home screen (a bit redundant, frankly). Alerts driven from Google Now can also show up in the Android notifications (this is the half).

The Google Now interface provides a series of "cards," all driven by what Google learns about you, which is to say what you allow Google to learn about you--it's entirely an opt-in experience.

What this means is that your location, your searches, your travel habits (by car, using Google Maps and location services; by air, using your searches for flight status; by public transit using location) and your calendar data all get filtered, processed, and eventually understood (your context) and mapped to pieces of information Google might know (the content).

For example, Google Now follows your searches for restaurants, and as you drive about, it will pop up suggestions based on time of day (like dinner time). It learns your favorite sports teams, and creates cards that follow the action in real time. It knows the flights you've searched and provides flight status automatically. There are cards for currency (when it knows you're in a different country) and language translation.

Much of this capability relies on search, and while it can comb through your searches in the native Android browser, it can also use Google's Chrome. And because Chrome essentially maintains your search session state across devices, something you've searched for with Chrome on the desktop (or on an iPad) gets fed into Google Now on the mobile device. You have to be signed into your Google account for all of this to work, naturally.

 1 | 2  | Next Page »


Related Reading


More Insights




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.