Profile of Guest CommentaryGuest Commentary
News & Commentary Posts: 803
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
The pandemic has rendered IT roles more demanding and more important than ever before. And every employee has essentially become an extension of the IT team.
An initial cloud migration investment can deliver both immediate and long-term benefits -- especially if the infrastructure evolves along with an institutionís digital operations.
Enterprise organizations are showing strong interest in artificial intelligence, but many are struggling to move beyond experimentation.
Data in motion involves several different situations that might require different architectures, applications and management techniques. Hereís what you need to know.
Without a strategy in place to analyze and act upon your data, you'll get bogged down, sifting for worthy nuggets.
The best way forward is to treat facial recognition data from the perspective of the rights of the people portrayed.
Hereís a six-step roadmap for IT leaders to follow as they continue to prepare for business as ďunusualĒ.
We need an integrated development approach that is automated to create the right balance between speed and risk to avoid costly rework and business slowdown.
Hereís how IT and business leaders can strategically embrace artificial intelligence to build a foundation of resilience.
Maximize the value of data analytics in your business strategy by first identifying current problems and potential solutions. Hereís some advice to get you on track.
To evolve for the workforce of the future amidst COVID-19, you need to build a strong digital infrastructure foundation now. Hereís how to do it.
IT leaders must move from defense to offense and motivate their teams by establishing a clear mission and a path to success.
While still early in maturation, blockchain technologies are positioned to solve some of the problems of today and serve as the core infrastructure for the solutions of tomorrow.
Navigating safely through these stormy waters will ensure greater confidence in and resilience of the whole system. Here are a few pointers.
Hereís how IT professionals can help top management understand the value of data and how to use it to the companyís advantage.
COVID-19 has had profound effects on the global economy. While some industries took a hard hit, others found new opportunities -- such as machine learning.
Artificial intelligence and machine learning have distinct limitations. Businesses looking to implement AI need to understand where these boundaries are drawn.
Itís in every organizationís best interest to implement security measures that counter threats in order to protect artificial intelligence investments.
Hereís why you need someone on hand who understands the technical and financial aspects of cloud management so that things donít spiral out of control.
CIOs and IT leaders should broaden their thinking around data and data analytics and empower their organizations to implement effective security and resilience programs.
As the pandemic continues to test the limits of healthcare providers, the public cloud can support surge care capacity and ensure resilient technology infrastructure.
A new big data research project found that emoji use at work varies significantly based on the userís role, company and conversational situation.
Here are some key considerations for IT leaders and teams as they seek investment and buy-in to implement solutions that will support their organizations now and in the future.
Chief technology officers today must unify businesses in new and important ways.
Hereís why real-time forecasting rules in 2020 (and how retraining your machine learning models can help with that).
As some organizations look to transform faster than anticipated, putting critical tech roles in place will be the key to a smooth, successful journey.
Turn the challenges that the pandemic has presented into new opportunities for your organization. Here are a few areas to consider.
Does it seem too early for data lakes to have trends? The reality is data lakes are on the very edge of business transformation efforts and dramatic change.
Researchers working directly with machine learning models are tasked with the challenge of minimizing cases of unjust bias.
In the midst of the COVID-19 pandemic and a recession, organizations are scrutinizing their spending across the board.
Companies, universities, governments, and individuals the world over have shown they can pivot rapidly, take significant risks and innovate in unexpected ways.
Technology leaders should embrace the virtual hackathon. Hereís why (and how to get started).
Portability of applications, seamless data integration, and business alliances between vendors means enterprises need to prepare for omni-cloud adoptions soon.
Advice for CIOs: With remote working here to stay, now is the time to advance cloud initiatives, consider uses for AI, and strengthen business continuity.
The COVID-19 pandemic can have far-reaching effects on how the financial services industry interacts with customers, and service centers equipped with conversational AI will come to the fore.
Applied properly, AI might help bridge the diversity gap in IT by assisting with job postings, evaluating resumes and standardizing the interviewing process.
Ensuring continuity of operations in the face of unforeseen disruptions must be a top priority going forward. Is your organization in good shape?
Data science algorithms are never a one-size-fits-all solution. Do you know what makes sense for your business?
In the face of the unexpected demands 2020 has seen so far, business and IT leaders need to stay in a constant state of planning with their cloud operations.
This crisis is teaching us a ton about the dissemination and use of data. But we must remember to use it in a way that maintains the quality of data and protects privacy rights.
Glassdoor has ranked data science as one of the top 10 best jobs in the US every year since 2015. Hereís how you can stand out in this field.
Extraordinary economic conditions require brand-new analytic models, right? Not if existing predictive models are built with responsible AI. Hereís how to tell.
Hereís how visionaries can most effectively make the case for DevOps transformation.
Itís not easy to teach machines how to apply a critical lens to data. Businesses need human intuition and creativity for multi-faceted problems.
While the tech industry is currently challenged by an IoT skills gap, there are steps that companies and leaders can take to minimize these issues and drive change.
Until the next technical evolution, current blockchain and AI/ML applications will continue to raise the trustworthiness bar in our zero-trust world.
Donít get stuck in a room going nowhere. Follow the Plan-Build-Execute model, and your data modernization initiative will lead to success.
The role of the chief information officer is becoming ever-more important in creating experiences that drive long-term market success.
Cloud usage and demand has spiked, but businesses must be wary of hidden cloud ďgotchasĒ when it comes to modernizing and scaling their cloud infrastructure.
IT leaders who use the current crisis to identify gaps in processes and digitize operations will see their businesses thrive.
IT teams face unprecedented challenges, navigating a fast-paced landscape amid the pandemic. Adopting Agile principles may help drive performance and success.
First, businesses need a clear understanding of how data will be used, and who will be impacted by the decisions made using the data.
Tales of robots and smart speakers are eclipsed by those of automation and natural language processing, which are drivers for greater efficiencies, increased productivity and new revenue.
Find out why deploying an effective master data strategy across an enterprise is an important foundation to building a successful digital transformation journey.
While the full extent of the impact is not yet known, the following guidelines can help tech risk managers in successfully addressing the many challenges companies are facing now -- and later.
BI is the transformation of data from services, including software and assets, into accessible insights and reports. But, otherwise, why is BI important?
No doubt, wide adoption of the cloud as a one-size-fits-all solution brings tons of benefits to the table. However, they come at a cost not everyone can handle.
Why that is, and what to do about it.
CIOs and IT teams have a great opportunity to show how the strategic use of technology can help the company achieve its agile goals.
Companies should use an XaaS strategy to outpace competition, cut acquisition costs and boost efficiency. Here are ways you can get there.
To harness the power of data analytics, companies need to create a culture in which all employees understand how to use data to advance business outcomes.
For experienced IT teams who are steeped in DevOps practices, shifting to DevTestOps requires a change in mindset.
COVID-19 is reshaping the privacy landscape and calibrating priorities, but how long will it last?
For those looking to reduce cloud costs as much as possible, here are four tips to help improve your overall investment.
The effort is relatively low compared to the immense personal and business benefits of keeping customers pleased and even delighted during this turbulent time.
Almost overnight, companies pivoted to remote work, but long-term viability requires an all-in commitment to digital transformation across technology and culture.
During this time of uncertainty, businesses are trying to adapt to the new normal. Hereís why the Agile philosophy is suitable for unforeseen business obstacles.
You canít wait for the world to go back to ďnormalĒ or expect your old metrics to work in the future. Listen intently, experiment relentlessly, and spread your bets.
Artificial intelligence and ML can help us take DevOps to the next level through identifying problems more quickly and further automating our processes.
With many budgets constrained, now is the time to focus on artificial intelligence projects that will deliver the most payback over the next six months.
Use these approaches to open the door to the rest of the C-suite and increase your influence.
With fast-changing markets, fragmented teams, and unprecedented business disruption, how can new work management approaches help leaders maintain productivity on the right work?
IT teams are facing a new normal with the shift to remote work. Here are some key steps they may not be considering (but should) to improve the digital experience.
To create the organizational resilience necessary in this new normal, businesses need to stop thinking of IT teams as just expensive gatekeepers.
Donít adopt artificial intelligence and machine learning without having a real business problem to solve. Here are some ways to help build the right use cases.
Many individuals prefer to collaborate in person. But as a community that has operated remotely since its inception, the open source world can teach us a thing or two to ease the transition.
The lack of women in IT leadership demonstrates the current need for deeper investment in the next generation of women in technology.
In the first real test of AI in a crisis, the results are mixed. While many individual applications are helping, the tech remains immature and unable to address complex public policy issues.
COVID-19 has exposed critical cracks in companies' digital capabilities, forcing CIOs to bolster their resiliency, responsiveness, flexibility, and adaptation.
Though motivations vary based on an organizationís unique needs, there are several key common drivers for moving to the cloud.
Chief information officers who can successfully integrate citizen developers with IT will be able to accelerate digital transformation across their enterprise.
Traditional approaches to cost containment will no longer cut it. Hereís some advice on how to soar past the dark clouds and deploy smart cost management.
While ML can dramatically enhance an organizationís security posture, it is critical to understand some of its challenges when designing security strategies.
One of the biggest mistakes a leader can make is blindly following a prescriptive list of one-size-fits-all tips and solutions for remote work.
Why the role of site reliability engineer is so stressful and what can be done about it.
The sheer scope of AIís impact on society does require some regulation. It will be essential to ensure that AI regulation is fair and ethical while not impeding innovation.
By helping get customers the info they need fast, and freeing up human workers, virtual assistants are now an essential member of any frontline response team.
These digital natives hold the key to not only unlocking but also fast-tracking the global effort in welcoming tomorrowís fully digital world. Hereís why.
Progress is steady, but the technology hasnít matured enough for most enterprises to truly benefit. Hereís what needs to happen.
RPA helps drive productivity and secure competitive advantages by maximizing resources already on hand. Hereís how to effectively deploy it in your business.
Chief information officers face challenges obtaining buy-in to invest in cybersecurity. Yet equating compliance to security is the biggest mistake CISOs are making.
Though many of us may be unfamiliar with the work-from-home lifestyle, our current situation offers a glimpse into the future of work.
These management strategies can help enterprise organizations rein in costs for public, private, hybrid, and multi-cloud deployments.
Enterprise automation is not a cause for alarm but a societal imperative. Hereís why.
As firms across all industries seek to turn data, the greatest asset of the digital age, to their advantage, attracting and retaining the right talent is essential.
Is your data protection strategy ready for artificial intelligence? Here are a few things IT leaders and businesses should keep in mind.
Here are some non-traditional ways that IT leaders can fill their open positions and create a more diverse workplace.
More people are needed for blue collar jobs in areas where AI-enabled automation was to have the most impact. So where are the robots?
Why senior IT professionals disclose salary history in the job recruitment process -- despite laws banning the question.
Youíve just been asked to look at a multi-cloud solution. You might put on a brave face for upper management, but deep down you know this isnít going to be easy. Youíre right.