Profile of Guest CommentaryGuest Commentary
News & Commentary Posts: 859
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
Hereís how the Mercedes Formula 1 engineering team used tech expertise to reverse engineer CPAP breathing aid devices in response to COVID-19.
Here are six best practices for setting up or tuning up your organizationís strategic partnerships.
In an industry with frequent turnover, the key to achieving lasting talent retention lies with investing in innovation built by in-house teams that are allowed to experiment and fail.
Here are four things that chief information officers can do right away to help build digital fluency for now and in the future across the workforce.
As younger generations infiltrate the workplace, weíll see companies deploy technology to fill the skills gap, train remote workers and drive real-life applications.
In recent years, organizations have been making small strides in establishing greater diversity within their engineering teams -- but itís not enough.
Hereís how cloud computing can enable the future of work, accelerate data strategies, integrate AI and cyber strategies, and innovate for social good.
Organizations should focus on automation and efficiency to keep pace with pandemic-driven technology transformation.
SPONSORED: CEO Tom Barton discusses how containers have evolved to be the ideal technology to modernize IT infrastructure.
These three factors produce an IT transformation that can maximize the value from technology and people to power business agility.
As IT has evolved, solutions have become increasingly sector-agnostic, creating a ripe opportunity for the reuse of technologies across different industries.
Here are five effective approaches for CIOs to expand their skillsets and build a resilient culture that can succeed in todayís enterprise organizations.
COVID-19 is a wake-up call for leaders to embrace cloud technology. However, some industries that would benefit from cloud adoption still resist.
Itís true. Many of the same elements that make up a fine dish are conceptually similar to those that comprise high-quality IT delivery.
There are three key attributes high-functioning IT team members share that are identifiable in your initial interviews: Desire, willingness, and ďteachability.Ē
Landing your next big role is important, but before you take that offer, make sure itís the right role with the right prospects for you.
Hereís how IT leaders can help to achieve a better ROI from their artificial intelligence initiatives.
Here are three things leaders in digital transformation are doing to set themselves ahead of the competition in 2021 and beyond.
Artificial intelligence and machine learning solutions are becoming more common across industries. Use these four steps for a successful implementation.
Donít bury your head in the sand. Train your people, advance your technology, and commit to prioritizing and protecting your most important assets before itís too late.
After a challenging 2020, the importance of analytics and a strong corporate data strategy becomes even more clear. Here are some trends to watch.
Demand for artificial intelligence is growing, but success rates are underwhelming. Hereís what you can do to maximize the value from your AI deployment.
SPONSORED: Chief product officer at OpenText discusses improvements in workflows and security in remote work environments during this InformationWeek Fast Chat.
Donít try to speed row on a frozen lake. DevOps is an exciting digital transformation initiative, but keep your eyes wide open as the new process unfolds or youíll get stuck.
Four out of five organizations havenít scaled their AI. Here are some ways to change that.
With the trend toward cloud native applications, a new set of security challenges are arising. Here are solutions to address these head-on.
The path forward will not look like business as it has always been done. Instead, it will require thought, creativity and boldness.
While business and IT leaders are under pressure to boost their digital transformation plans, they should stop, rethink, and assess before fully diving into a roadmap.
We will never rid ourselves of all our biases overnight. But we can pass on a legacy in AI that is sufficiently aware of the past to foster a more just and equitable society.
Companies must strike the right balance between resiliency and efficiency if they want to weather the storms ahead over the long term.
Thereís considerable value in standing on the shoulders of the giants in industry who have learned from several decades of experiments in manufacturing.
Whether we are prepared or not, there will be a global shift toward strict data privacy rules in the coming year.
Whether you are new to DevOps or a seasoned pro, a DevOps Center of Excellence can help your organization maximize the potential of DevOps.
Hereís a playbook for tech companies with high-growth aspirations.
So how did we get here? Here are the three main ways data governance is failing us, along with some advice on how to address those areas.
Searching for a job during a pandemic presents its own sets of challenges. Here are three tips on how to deliver an impactful interview.
Here are five practical ways technology leaders can meet emerging obligations.
IT leaders should take note of the industry dynamics and these emerging use cases in order to get ahead of their peers in the next few years.
Tech language was developed in the early days of computing, during a time when globally racism was much more explicit and often went unchallenged. But there is no reason we canít change it now.
Remember that cutting IT jobs doesnít just reduce the bottom line, it means the removal of talent, careers and institutional knowledge.
Here are some habits that organizations can apply to overcome the challenges, keep employees safe, manage risk and come through any crisis, stronger than ever.
AI governance is a board-level responsibility to mitigate pressures from regulators and advocacy groups.
Developers and technologists are increasingly being given a "seat at the table" and forming peer relationships with executives regarding enterprise technology investments.
CIOs and other IT leaders must attract, retain and hire professionals with broad cybersecurity skills, but thatís not as easy as it sounds. Hereís some advice.
Pursuing initiatives across organization redesign, operational cost reduction, and process automation is a must to ensure success in the new business paradigm.
To promote trust in artificial intelligence in healthcare, AI products and services must come from a deep understanding of user and patient needs and promote user and patient engagement.
Focus on the marathon, not the sprint. Here are three best practices for constructing effective, efficient dev teams.
While it may be counterintuitive to make sweeping changes to enterprise software strategies amid a pandemic, the payoff could be substantial in the long run.
Will automation speed up your processes, or will you end up with a brittle system that will demand constant attention and frequent, time-consuming fixes?
If we pay close attention to how AI is falling short and leaving humans with extra work, we can see exactly where the future lies (and how to get there).
Here are best practices on how to scale automation successfully beyond the initial deployment to create a high-demand and thriving automation function.
Cloud is non-negotiable for business continuity in the COVID-19 era. Yet the scramble to get online has led businesses to forget about three key components.
Here are seven steps IT and business leaders can take if a vendor critical to enterprise operations collapses.
By recognizing important developer tool roadblocks organizations need to overcome now, we can expect a stronger and more powerful AI developer stack in the next 10 years.
More businesses are taking on AI projects, but many still arenít finding success. Hereís what you need to know before taking on your first artificial intelligence project.
To foster long-term resiliency and workplace innovation, IT leaders must invest in employeesí skills and create an open and inclusive environment where people feel valued.
When building out a multi-cloud environment, itís important to focus on a unified strategy with the proper controls in place to manage applications, security and costs.
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.