Profile of John EdwardsTechnology Journalist & Author
News & Commentary Posts: 48
John Edwards is a veteran business technology journalist. His work has appeared in The New York Times, The Washington Post, and numerous business and technology publications, including Computerworld, CFO Magazine, IBM Data Management Magazine, RFID Journal, and Electronic Design. He has also written columns for The Economist's Business Intelligence Unit and PricewaterhouseCoopers' Communications Direct. John has authored several books on business technology topics. His work began appearing online as early as 1983. Throughout the 1980s and 90s, he wrote daily news and feature articles for both the CompuServe and Prodigy online services. His "Behind the Screens" commentaries made him the world's first known professional blogger.
Articles by John Edwards
Don't let needless spending diminish the value of your cloud resources. Here's how to cut costs without hurting results.
Here are some proven techniques you can use to keep your most valuable team members on board and energized.
Wedged between resource-rich global giants and nimble small firms, many mid-size enterprises struggle to achieve DevOps success. Here are the best ways of addressing this problem.
For many organizations, knowledge management is a forgotten technology. Now, new attitudes and approaches may help KM systems live up to their original potential.
The demand for well-trained IT professionals is growing, but quality training options remain elusive.
Education, skills, certification and experience all have an impact on IT paychecks, but so does where you live and work.
A report finds that most industry execs haven't yet committed to investing in AI data verification technology.
Knowledge and skills are your most important career tools. Here's how to prove you're staying on top of the game.
The best laid plans of DevOps adopters often go awry. Here's how you can fix things.
Fear not, developers. The open source development community will thrive, no matter who's running the show.
Customer-facing giants find that innovation, agility and cost benefits outweigh the negatives. Will Verizon's migration inspire others to follow?
It's time to consider: Does the technology promise hope or hype for society and business?
Inflated expectations often lead to disappointing results when companies launch ambitious digital transformation initiatives.
New technologies give consumers and investors informed insights into a company’s reputation.
DevOps teams are challenged by hackers whose tools and practices have grown increasingly sophisticated. Here's how the good guys can gain the upper hand.
DevOps is moving forward. Is your organization coming along for the ride?
Cutting corners isn't the path to analytics success. Data science requires an enterprise commitment.
Multiple obstacles must be overcome before blockchain can arrive as a mainstream technology, as shown by copyright authentication challenges.
Data center automation is inevitable. Here's how to do it right from the beginning.
Research shows that chief data officers are helping their organizations turn data into dollars.
Do you have the skills you'll need to succeed this year, or are you still betting on a COBOL revival?
IT groups will need to provide architecture, data-mining tools and connectivity, while giving business groups the freedom to innovate on their own with the Internet of Things.
When it comes to DevOps success or failure, little things count the most. Start small, make sure everyone's really in, and count – and celebrate – the team's successes.
After decades of AI being viewed as a "future" concept it may be time for companies to invest real dollars for real applications.
There are significant gaps in how IT professionals and business leaders view issues such as aligning tech with business goals. Experts share some thoughts on how to close the gaps.
Determining if your organization is an intelligent enterprise or a slow learner may be challenging, but a new index quantifies criteria in terms of data usage, workflow efficiency, and progress toward the IoT.
A study finds that 70% of all analytics data now comes from non-relational sources. What does that mean for you?
New tools help enterprises organize and maximize their expanding multiple cloud infrastructure.
Data governance strategy is rapidly shifting from the defense to the offense.
Enterprises turn to the hybrid cloud for disaster recovery, data archiving and other applications.
Designer Scott Schaedle feels that user interfaces would look and function much better if developers simply followed a handful of good design practices.
Reaching business goals, even surviving in an era of disruption, requires a tech-smart workforce.
The federal mortgage finance association becomes "Agile" to keep pace in a competitive field.
It takes internal "grit" to cope with business and technology changes. Lynn Christensen of Workday shares some advice on building resilience.
Corporate transformation seen as the best way to counter digital disruption and address other key challenges.
Tips for financial institutions or others heading for digital transformation.
Experts expect to see the shared database technology securely managing transactions in areas ranging from real estate to digital.
Sophisticated tools search for and pinpoint potential savings opportunities.
Why businesses should work to spread DevOps benefits across their entire organization.
The business communications giant breaks new ground in optimizing freight price quotes.
Tech companies need to work harder to attract and retain more minorities and women, says Interop ITX speaker Coco Brown.
An Interop ITX speaker believes that DevOps can help unified communication (UC) teams work together more efficiently and effectively on a wide range of issues and challenges.
The best approach to DevOps is one step at a time, and that is particularly true for a well-established enterprise.
Addressing the under-representation of women as technical practitioners, Interop ITX speaker Patricia Dugan outlines some of the issues that the IT and tech sectors need to address.
Determining DevOps' ultimate value to an organization is essential for receiving maximum benefits.
Learn why bad code is generally much better than no code all, except maybe in matters of life and death.
Everybody's talking about DevOps, but how many really understand how to build or deploy an effective strategy?