Profile of Guest CommentaryGuest Commentary
News & Commentary Posts: 610
The InformationWeek community brings together IT practitioners and industry experts with IT advice, education, and opinions. We strive to highlight technology executives and subject matter experts and use their knowledge and experiences to help our audience of IT professionals in a meaningful way. We publish Guest Commentaries from IT practitioners, industry analysts, technology evangelists, and researchers in the field. We are focusing on four main topics: cloud computing; DevOps; data and analytics; and IT leadership and career development. We aim to offer objective, practical advice to our audience on those topics from people who have deep experience in these topics and know the ropes. Guest Commentaries must be vendor neutral. We don't publish articles that promote the writer's company or product.
Articles by Guest Commentary
For full-time employees, put more weight on the soft skills. For contractors who don’t make the technical cut, don’t put your money down on them.
Information security staff cannot be everywhere decisions are made, and not every risk decision can be automated.
How can remote office workers -- and their employers -- deal with tech proliferation and the continued sense of isolation that can sap productivity?
It’s time to rethink our corporate environments by recognizing the unique experiences, skill sets and strengths that come from diversity in teams and leadership.
There are ways to increase user privacy while still preserving the accuracy of machine learning systems. Here are three practical options for CIOs.
Here are some highlights from last month’s Oracle OpenWorld 2019.
You can have the latest and greatest automation toolset, but without people transformation, DevOps at scale will remain a mirage for many.
AI requires both high-quality data and an infrastructure that ensures data is always available. Without that foundation, we’ll never reach the future.
Enterprises are not fully on board yet and in some cases stuck in manual mode. Here are four key areas to consider to get on the road to automation.
Grand-scale technologies act as nodes of progress that spark continued innovation. Here are several that will continue to impact society.
A CIO shares lessons he’s learned about finding and securing the best job candidates for IT teams.
So, what’s the catch? There’s a very real possibility that most states will develop their own data privacy laws, causing chaos that will benefit no one.
IT leaders who will survive in the hybrid multi-cloud world are fostering the skills they already have in-house, while embracing some shifts toward new ideas.
But will the flood of candidates solve your data problems? Here are a few issues to mull and tips on how to attract/retain data scientists in this hot market.
All AI is machine learning, but not all machine learning is AI. Make sure you know the difference before investing.
IT leaders must remember that in our ever-changing world, keeping employee skills sharp and ensuring they have the resources they need to stay current is key.
Are you looking at the big picture? Today’s enterprise organizations must align their digital talent strategy through a lens of recruitment and retention.
While there are no easy answers or magical tools to address the complexity issues, some fundamental architectural planning can be done.
A team of experts learned from their application of AI across a variety of real-world projects. Here are six steps they recommend for CIOs engaging with AI.
Instilling a culture of performance is really all about serving your customers. In most cases, what they want is speed above all else.
The Internet has created more individual privacy than any technology in human history. So why are we constantly told otherwise?
Enterprises have been pivoting to the cloud -- attracted by hopes of increased agility, higher service levels and lower cost. Are they getting what they expected?
Like most things in the world of data, creating and maintaining governance policies in a multi-cloud environment requires constant compromise and negotiation.
Here are three ways IT leaders can ensure ethical deployment of AI and automation as well as achieve a positive impact on the organization.
To strategically control and analyze data, companies need to know which version of real time works for them. Don’t get caught up in the hype.
Here are the top four concerns bugging CEOs and board members about digital makeovers -- and fixes CIOs can apply to mitigate the impact of those worries.
IT teams and other business divisions can enhance their abilities to tackle complex data or artificial intelligence challenges (and more) by working with student teams.
Each team member contributes substantially to the overall culture -- and each hire can mean the difference between an average team and an exceptional one.
We don’t know where we are going with artificial intelligence, but we are going there fast.
VMware’s buying spree is part of its efforts to transform beyond its virtualization roots and into a container- and Kubernetes-focused cloud everything company.
For those starting out, there are five key steps to help elevate and influence customer journeys and build strong relationships and loyalty with audiences.
Position your organization not just for legal and regulatory compliance, but also for safer and more effective use of information assets. Here are five questions to ask.
While machine learning may seem overwhelming and complicated, creating an infrastructure for ML projects is more achievable than many organizations think.
Technology improvements in recent years are making it possible to overcome the decades of siloed, inaccessible, consumer data.
Beat the large e-commerce giants at their own game: Create end-to-end supply chain prediction and orchestration supported through four enabling technologies.
The biggest hurdle in implementing the Internet of Things is coming up with a plan and getting stakeholders aligned on a strategy that yields a desired ROI.
As data science evolves, key challenges are driving organizations to seek innovative solutions to compete in the new AI-driven economy.
With data changing and growing so rapidly, the need to get value out of your data is even more urgent. Here’s some advice about how to approach data lakes.
You don’t need to come up with an AI ethics framework out of thin air. Here are five of the best resources to get technology and ethics leaders started.
The key is the B2B ecosystem: Follow the money flow to discover revenue-generating opportunities that might have been previously overlooked.
It’s been a challenging year for businesses seeking to hire CIOs and technical experts in fields as diverse as machine learning and mobile network technology.
It’s wise to start thinking about what an effective IT integration strategy looks like well before the ink dries on the deal.
The best way to achieve data quality is by combining or blending these three techniques: decoded lineage, data similarity lineage and manual lineage mapping.
Financial institutions and banks can no longer risk letting their business models become outdated. Here’s how CIOs can build a business case for the C-suite.
Before making the cloud decision, IT leaders need the facts and the criteria to choose the option that’s best for their business, operational and financial goals.
Technology’s shortcomings have less to do with technology and everything to do with us.
CIOs can quickly find themselves on an expensive hardware-replacement treadmill, but it doesn’t have to be that way.
Blockchain has the potential to cut through multilayered, complex transactions to streamline processes, improve margins, and grow top line revenue.
Three key questions should be answered for enterprises to glean a clearer understanding of their options.
Truth imperiled by coordinated attacks using deepfake videos and new NLG-powered fake news articles.
As technology evolves, CIOs and IT leaders must also change the way they communicate about it in our digital-first world.
The combination of technology readiness and business appetite puts us a little closer to wide-scale availability of a new breed of IT infrastructure.
CIOs and IT leaders struggle to fill IT positions with staff who hold the right skills. But the answer is right under their noses: Educate existing teams.
The breakneck speed of technology innovation means that success requires embracing disruption/change and empowering people to be creative in its application.
Many companies are now pursuing the seemingly conflicting goals of cost reduction, growth, and digital transformation. This has huge implications for CIOs.
Scientists are now developing models that allow robots to learn from experience. Pay attention, because deep learning is poised to drive significant advances.
Your team relies on you, their IT leader, to help them manage their careers. If you’re not doing it, someone else will do it for you. At another company.
Once talent is in the door, it’s up to organizations and IT leaders to cultivate their professional growth, including specific IT skills and domain knowledge.
Chief information officers and IT leaders need to stay relevant and continually address the common problems that drag down their teams.
As enterprise data centers become more complex, AIOps solutions can help IT teams manage resources, identify threats, and streamline the end-user experience.
Forward thinking leaders know that while specialism may sit within one team, the responsibility to bring those ideas to light and generate ROI is a shared one.
While it’s easy to make the business case for DevOps, executing it may be the trickiest leadership task you’ll ever face. Here are three steps that can help.
What determines whether a digital transformation initiative succeeds or fails isn’t a mystery. These five tips will help guide you in that effort.
Only time will tell with how GDPR and regulators can keep up with the influx of breaches and violations, but that doesn’t mean GDPR is something to brush aside.
Hire a research engineer, who can can help maximize the adoption of useful applications, minimize risk and complexity, and avoid time sinks.
The answer is multifaceted, but two of the biggest reasons for employee turnover in tech are lack of scope for career development and flat salaries.
There’s no one-size-fits-all solution to becoming AI-ready, but the building blocks for maximizing its value over the long term are already available.
IT leaders can close the digital gap by taking product, customer, inventory, invoice and other information and make it a more modern user experience.
Technology and cultural readiness are needed for organizations to master artificial intelligence and robotic process automation in the workplace.
Chief information officers stand at the forefront of how companies make and adapt to technological change. Here are four takeaways from the MIT CIO Symposium that they should keep in mind.
As more IT leaders deploy Kubernetes into mainstream production environments, the ecosystem around Kubernetes will grow and drive innovation.
Turn sales professionals into their own data masters. Help them organize disparate data, which can lead to intelligence and actionable insights.
IT leaders should keep in mind that a good data analytics design starts with understanding how data is being used within their enterprise organizations.
Is transhumanism our destiny? One thing that everyone seems to agree on is the inherent risk to humanity when (or if) it happens. And that we should be scared.
CIOs must focus on smarter workplace experiences with technologies such as artificial intelligence and digital assistants -- or risk being left behind.
Will ‘charging’ become as foreign as going to the phone booth? The next decade filled with AI and other emerging technologies will show us the answer.
Take these three steps to start building a privacy program that will help you satisfy the privacy regulators and your customers. 2020 is just around the corner.
CIOs might find themselves thankful for the slow roll-out of 5G so that they have time to get the information they need to move forward with purpose.
The marketplace is finally flush with analytics-specific services that deliver on the cloud’s promise of reduced cost and complexity, and greater agility.
DevOps is achievable at enterprise scale if you start small, create a dedicated team and effectively use technology patterns and platforms.
Chief information officers and other IT leaders can reduce or amplify risks depending on how they answer these five questions.
The larger the organizational footprint, the more challenging a cloud migration will be. Here’s how to make decommissioning your data center a little easier.
Businesses that do not address website accessibility are vulnerable to being sued under the ADA and under certain state and local civil rights laws.
When working with vendors on data ingestion, CIOs and IT teams sometimes fail to take complicating factors into consideration. Here’s what you need to know.
Companies looking to take advantage of the complex data game need to start by identifying general areas of their business that truly need help.
Make sure that your use of machine learning has more substance than hype. Here’s a framework you can use to help you cut through the noise.
We are in an era when technology can help to drive business success, but it requires that everyone in the organization understand tech's potential.
Should CFOs and other C-suite execs accept Millennials for who they are and reap the benefits, or should they insist that they play by the rules?
The crux of the problem in deploying a data science team is aligning the technical knowledge of a team to the needs of the business and choosing an alignment that offers the greatest impact.
Having 200GB speeds in the palm of your hand is going to be a boon for business owners, remote workers, and everyone else who enjoys the internet.
There is a clear fork in the road, and companies are having to decide which route to take when it comes to open source.
While AutoML might not turn a newcomer into a virtuoso, it does lower the barrier to entry for more businesses to reap the benefits of the data age.
To liberate the full potential of machine learning as fast as possible, CIOs, CEOs, and society in general, must first get over fears of losing control.
Preparing for his trip to Interop in Las Vegas, an InterOptic exec shares his recommendations for sessions to attend.
Negative feedback adds a brake to the irrational artificial intelligence (AI) exuberance.
It may not be glamorous, but the practice of software asset management saves organizations money and protects them against financial and legal risks.
Some CIOs and other leaders might think that becoming customer-focused isn’t as vital as other preparations for the future such as technology investments. It is.
If you are wondering about the role of edge technologies, consider how they help companies and individuals in the travel and transportation sectors.
Developing the right processes and framework for AI will make all the difference in whether you’re just an adopter -- or a leader.
Organizations are entering a post-digital era, where being digital is a requirement rather than a choice.