We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: AT&T studies user data to cope with iPhone crunch
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > AT&T studies user data to cope with iPhone crunch
Business IntelligenceData Mining

AT&T studies user data to cope with iPhone crunch

StephenBaker1
StephenBaker1
4 Min Read
AT&T studies user data to cope with iPhone crunch
Photo by StockSnap on Pixabay (https://pixabay.com/photos/notebook-pen-phone-computer-laptop-2602886/)
SHARE

An excellent piece in the WSJ (behind subscriber wall) about AT&T’s push to cope with the exploding data traffic of iPhone users. The company has to get this under control, because by early next year unhappy iPhone subscribers, especially in overloaded NY and SF markets, will likely have the chance to switch to Verizon.

To fine-tune its network, AT&T is studying ever more user data:

Before the iPhone, it used to be able to accurately forecast to the
minute the type of phone usage each new customer would add to its
network based on basic demographics such as age and income levels. The
forecast always held true across cities and towns.

But with the iPhone, such bets are off, AT&T executives painfully
learned. It now looks at a broader set of customer profiles to forecast
behaviors. For example, in a metro area with a large proportion of
students, the phone operator schedules network upgrades to occur outside
of colleges’ nine-month academic terms.

More Read

Considerations for New End User Business Intelligence Implementations
Considerations for New End User Business Intelligence Implementations
Problems Solved with AI And Machine Learning in Customer Service
How AI Is Solving Banking Challenges During The Coronavirus Pandemic
The confluence of BI and change management
Predictive Analytics Limitations with Small Business Risk Assessments

…’I’m as interested now in what you’re doing when you’re not on the
network’… said John Stankey, head of AT&T’s operations arm.

One interesting note from the article is while AT&T has taken its bruises in this data-intensive market, at least it’s learning. Some beleaguered users may jump to Verizon and other carriers just as those companies start to struggle with the same issues. It might be smart for Verizon to pay top-dollar for an AT&T engineer or two, just to get the know-how.

For example, AT&T said when iPhone customers started checking their
email and surfing the Web from their high-rise offices, AT&T
repositioned its cellular antennas to point up, instead of down.

There must be scores of similar lessons they’ve learned.

***

I’m in Seattle for a couple of days on book research. I’ve been interviewing folks at Vulcan Inc. about artificial intelligence. Now I’m in a coffee shop (surprise, surprise). I think I’ll head across the street to the art museum before meeting with Ed Lazowska, head of the computer science dept at U. Washington (the U-Dub, as they call it around here).

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article connects duplicate and decayed CRM records to distorted attribution; a SaaS-editorial sc
Your Attribution Model Is Fine. Your CRM Is Lying to It
Business Intelligence Exclusive
Flat editorial illustration: The article is about replacing informal co-located management with deliberate asynchronous workflows
Managing a Software Development Dedicated Team Across Time Zones
Development Exclusive Software
Technical architecture diagram and decision framework for wikipedia editing services and ai training data: why llms still treat wikipedia as a source of truth
Wikipedia Editing Services and AI Training Data: Why LLMs Still Treat Wikipedia as a Source of Truth
Artificial Intelligence Exclusive
Flat editorial illustration: The article connects fragmented social-service records through shared pathways and selective informa
Turning Disconnected Information Data Into Better Social Service Outcomes
Big Data

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

An engineer in a woodworking shop compares a rendered wooden chair on one monitor with its CAD wireframe model on a second monitor
Artificial Intelligence

AI Furniture Design: 5 Legacy Engineering Applications and Generative Design Options

21 Min Read
Does Data Quality Matter in Social Media?
CRMData QualitySocial Data

Does Data Quality Matter in Social Media?

4 Min Read
3 Common Payroll Errors That Can Be Resolved with AI Solutions
Big Data

3 Common Payroll Errors That Can Be Resolved with AI Solutions

6 Min Read
business intelligence use in enterprises
Big DataMarket ResearchMarketing

Leveraging Big data to Boost Sales through Affiliate Marketing

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

From Bolts to Bots: How AI Is Fortifying the Automotive Industry
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?