Profile of Guest CommentaryGuest Commentary
News & Commentary Posts: 571
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
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. Hereís some advice about how to approach data lakes.
You donít 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.
Itís been a challenging year for businesses seeking to hire CIOs and technical experts in fields as diverse as machine learning and mobile network technology.
Itís 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Financial institutions and banks can no longer risk letting their business models become outdated. Hereís 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 thatís best for their business, operational and financial goals.
Technologyís 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 doesnít 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 youíre not doing it, someone else will do it for you. At another company.
Once talent is in the door, itís 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 itís easy to make the business case for DevOps, executing it may be the trickiest leadership task youíll ever face. Here are three steps that can help.
What determines whether a digital transformation initiative succeeds or fails isnít 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 doesnít 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.
Thereís 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 Ďchargingí 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 cloudís 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. Hereís 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. Hereís 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. Hereís 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 isnít 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 youíre just an adopter -- or a leader.
Organizations are entering a post-digital era, where being digital is a requirement rather than a choice.
CIOs should prepare for todayís challenges and be ready to take on whatever disruption comes their way in the future.
New technology hubs are popping up all over the country but finding the talent to support them continues to be a problem.
To unlock value that early adopters are seeing, CIOs must consider how blockchain can improve processes specific to their organizations.
It's time for businesses to unite and back a single federal data privacy law. If not, we might end up with 50 different laws.
Get ahead of the trend and drive artificial intelligence projects that are valuable to your company and your career.
Itís time the world of IT embraces new automation technology within its own day-to-day work.
IT pros can expand their knowledge about AI to advance their careers by finding training which will be critical to a successful career move in this area.
DevOps is a journey without a destination. As new tools and practices develop, DevOps will continue to evolve.
A lack of foundational elements for IT governance can lead to a bunch of problems, including siloed operations, business disconnects and redundant applications.
The progression of cloud innovations require new skills and new approaches to training IT professionals.
Managing and monitoring your digital infrastructure doesnít have to painful. There are steps you can take to give your operational intelligence an edge.
Successful cloud migration often means introducing and adopting a new common language throughout an organization. But there are some guidelines to follow.
How a company handles a breach speaks directly to its character during one of the most high-profile times of its history.
IoT is growing rapidly, but lingering connectivity, security, and data storage concerns will need to be resolved to guarantee its continued flourishing.
Artificial intelligence can offer competitive advantages, but itís not easy to drive success without understanding how to overcome the challenges.
Data science is reshaping the job market through fierce competition between companies for top talent. Filling the positions will mean converting candidates from other fields.
Here are five tactful but effective ways to boost your paycheck, whether as a new hire or existing IT employee.
Before diving into AI, advanced analytics and other data-driven projects be sure to understand which data you hold rights to and what restrictions apply.
You can do a lot to take the edge off peopleís concerns, maintain the companyís reputation, and minimize any long-term damage when you put a plan in place.
Cloud providers have the resources to fortify their data centers and hire armies of security pros, but they wield other powerful weapons to protect customer data.
If years of hype have left you skeptical, all signs now point toward reasons to believe that digital reality is ready for its transformative moment.
With repetitive manual data entry proving a pain point for staff members, workplaces must act to ensure their teams stay motivated. Could automation be the answer?
Despite their great promise, data lakes have received a lot of negative buzz in recent years due to their lack of governability and general success.
The reliance on technology in the service and support space is growing significantly, and leaders are being tasked tasked six- and seven-figure decisions.
Five best practices for ensuring that your cloud strategy keeps things safe and secure.
After more than a decade of trying to educate users, IT security professionals still aren't getting their message through.
Consider why reverting to an open Web might not be such a bad thing.
Machine learning and natural language capabilities will bring the power of analytics to more people through semantics.
Platform companies need to consider and launch new services that have a very clear understanding of the needs and expectations of their target markets.
Make DevOps the culture of your organization, driven by the CEO and a team of leaders with a clear understanding of the implications and outcomes.
The growing interest in automation in the enterprise highlights the need to place humans in jobs that are best suited for humans rather than machines, and a need for continuous training.
We have a great opportunity to lay a better foundation for the future of AI if we encourage more women and people of diverse backgrounds to dive into data science and other AI fields.
Using new technologies and building products with a clear purpose in mind can help organizations connect with users in a way that is more human and more useful.