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: On Clouds, Data, and Technology Maturity
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > IT > Cloud Computing > On Clouds, Data, and Technology Maturity
Cloud Computing

On Clouds, Data, and Technology Maturity

MIKE20
MIKE20
4 Min Read
On Clouds, Data, and Technology Maturity
Photo by geralt on Pixabay (https://pixabay.com/photos/hand-businessman-commercial-seek-3108175/)
SHARE

I recently had the pleasure of speaking on a panel about information management at DataFlux IDEAS with some of the most prominent experts in the field. Among the participants was my friend David Loshin, one of the most astute observers out there.

Contents
  • Crossing the People Chasm
  • Simon Says
  • Feedback

David made the point that many of the information management technologies available to organizations today have been for quite some time. Only now are many getting around to actually using them–and reaping their benefits. Case in point: cloud computing. Now that it’s become more acceptable, commonplace, and (arguably most important) cheaper, clouds are taking off.

Loshin correctly pointed out that many “new” solutions are, in fact, merely rebranded versions or products introduced years ago. Marketers typically don’t sell technology products and services with claims that they are the same as they were five or ten years ago–hence the need to try and spruce up mature offerings with fancier names. (Of course, some company’s products truly are new, such as Microsoft’s Azure. Steve Ballmer’s company wasn’t exactly quick to embrace the cloud.)

The implications of cloud computing for data management are profound. For instance, organizations will be able to get out of the hosting business and run most of their operations over third-party data centers. In Total Recall, a book that I’m currently reading, co-authors Gordon Bell and Jim Gemmell predict that, by 2020, very few organizations will actually handle their own data and applications.

More Read

Debunking Five Cloud Computing Myths
Debunking Five Cloud Computing Myths
Best VMware Alternatives in Thailand for Private Cloud and HCI Deployments
SkyHigh receives $40M Investment for Cloud Security Lineup
Data Warehouse “as a Service” – A Good Pick for Mid-Sized Companies
What’s Missing From Most Cloud-Based Disaster Recovery? Network Replication

Crossing the People Chasm

So, the technology has been ready for years, yet few relatively few large organizations have made the jump. The obvious question is why? In my forthcoming book, The Age of the Platform, I quote cloud computing expert Amy Wohl:

It’s the change in attitude that goes with the change in architecture that requires a new mind-set.  That’s where established firms need to take time to see whether they are simply going to consider clouds as an additional offering or whether they are going to substantially remake their businesses to more closely model what the web-centric companies are doing.

In other words, it’s all about the people making the decisions about the technology. It’s only indirectly about the technology itself.

Simon Says

As companies like Amazon, Apple, Facebook, and Google (aka, The Gang of Four)lead the way, doing simply astonishing things with their data, other companies will be forced to look at how. Why can Amazon effectively cross-sell to its customers while so many organizations struggle to figure out a master list of their own? As the gap between progressive and reactive organizations grows, the latter will be forced to adopt newer technologies–or perish for not doing so.

The days of complacency, inefficiency, and guaranteed results are coming to an end. What are you doing about it?

Feedback

What say you?

 

TAGGED:it
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article connects verified lease abstraction at signing to accurate property charges and faster m
AI Lease Abstraction and Month-End Close Speed-Up Checklist
Artificial Intelligence Exclusive
Flat editorial illustration: The article explains that file-system choice determines whether Windows, macOS, and Linux can read o
Understanding File System Compatibility Across Windows, macOS, and Linux
Cloud Computing Exclusive
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
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

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

The Importance Of Creating A Single View of The Customer With Data
AnalyticsBig DataExclusive

The Importance Of Creating A Single View of The Customer With Data

9 Min Read
Big Data Is More Valuable with Kapow
Big DataBusiness IntelligenceSoftware

Big Data Is More Valuable with Kapow

6 Min Read
Why don’t they [IT] ever learn?
Data Warehousing

Why don’t they [IT] ever learn?

11 Min Read
“Involving users in business intelligence strategy key for success” – Christina Torode on SearchCio-Midmarket.com
Business Intelligence

“Involving users in business intelligence strategy key for success” – Christina Torode on SearchCio-Midmarket.com

7 Min Read

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

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
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?