Profile of Guest CommentaryGuest Commentary
News & Commentary Posts: 660
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
We are witnessing the next wave of software; one that democratizes its use and allows all parts of a business to participate in making it work.
Here are the 10 most important programming languages for machine learning and artificial intelligence. -- IT Pro Today
Try building a public brain. Pull out your Post-its and Sharpies and find a blank wall. Here’s how.
One small step for tech, one giant leap for privacy? It is up to our society to create clear boundaries that will enhance the positive and control the negative.
Despite some imperfections, cloud adoption is the future. Of course, it's important to be mindful of the risks involved with the practice.
As every company becomes a tech company, a major part of this shift means determining which tools will give an edge, and which ones will distract from broader goals.
While cost efficiencies are important milestones, the real value of digital transformation lies in long-term innovation. Here’s how you can get some mileage by making your case.
Here are some areas that may prove key to the development of the Internet of Things (IoT) applications within enterprise organizations.
Gen Z’s high-tech upbringing will bring a new set of behaviors, expectations, and preferences to the workplace. Here’s some advice for CIOs.
Here are three truths and one lie leaders should know before moving to the cloud.
Here are five key techniques to support and encourage entrepreneurship in your employees -- while simultaneously keeping everyone moving in the right direction.
Skills like communication, observation, empathy and logical thinking are key for developing the next-gen of leadership and equipping employees for the future.
There are legitimate questions about the ethics of employing AI in place of human workers. But what about when there’s a moral imperative to automate?
CIOs, CTOs and hiring managers should apply these four elements when assessing tech candidates.
In 2020, expect to see these trends in technology work together to create solutions to improve how businesses and society work together.
To survive and drive success, businesses need to organize and equip themselves to best deal with the one certainty of 21st century life: Change is a constant.
Understanding how to capture, process, activate, and store the staggering amount of data each vehicle is generating is central to realizing the future of AVs.
Here are five approaches that will help the C-suite and other IT leaders overcome challenges when scaling their teams.
While a move to the cloud can result in operational efficiency for an organization, a successful transformation goes further by reworking customer-facing services and internal processes.
Changes rocked the network community in 2019. Disruption is likely to continue at an even faster pace in 2020.--Network Computing
You can’t deploy technology and hope people use it. Adoption requires dedicated effort behind it. Time to unleash your technology cheerleaders.
Innovation creates opportunities, but taking that first step or leap to something new requires guts.
Enterprise organizations will shift from what is being used to how it is being used. Maximizing what is already in place will become the priority
A Gartner analyst suggests kilowatts can be “the perfect progress metric” for implementation of an enterprise cloud strategy. -- Data Center Knowledge
As the countdown to January continues, it’s up to executive teams to ensure their companies are complying and preparing for what’s coming.
There’s a clear way to fill the ever-growing technical skills gap, and it starts with the hiring managers thinking a bit differently than they have in the past.
Executing a successful digital transformation strategy may be a necessity in the long-run, but can be tricky. A PwC leader sheds light on the subject. -- IT Pro Today
Given all they contribute to today’s digital business landscape, chief data officers have a very real opportunity to become the CEOs of tomorrow.
There’s no doubt that the pressure is on to transform and innovate. Here are some actions IT and business leaders can take to get the most out of their digital efforts.
ThousandEyes' Cloud Performance Benchmark report reveals weak links in global cloud connectivity that can impact some regions. -- ITPro Today
True DevOps success means being able to extend initial project results to other critical application pipelines throughout the enterprise. Here are five ways to navigate the obstacles.
There’s no one tool that can do it all. But in the end, it is all about tools that provide maximum ROI within the given budget.
Legacy applications can leave massive security holes and must be dealt with, no matter how critical they are.
Organizations must have a clear business strategy that aligns software development to wider business objectives. Here are four tips to help in this effort.
Imagine the possibilities of combining data across markets and industries without the cost and expertise barriers of implementing traditional data sharing.
While experts aren’t surprised, they recommend adding the latest tools to your security strategy now.
While the tools may change, the mistakes stay the same. Here are four common issues that IT leaders should be aware of when managing data science teams.
A year and a half after GDPR, California’s own data privacy act will soon go into effect, but many businesses are unprepared. How can they get there?
Emerging technologies that leverage edge computing will take years -- potentially decades -- to emerge. The smart move is to wait for the hype to settle.
Rather than doubling down on recruitment advertising, here are five other ways that IT leaders can mitigate their tech talent shortage.
To navigate the new world of IT ecosystems, forward-thinking IT leaders need to embrace organizational transformation -- and avoid making these five mistakes.
AI has been abused as part of disinformation campaigns, accused of perpetuating biases, and criticized for overstepping privacy bounds. Let’s address this.
An effective ML team is constantly evolving based on many different factors. Assess your specific needs and use cases before putting a team into action.
Project sponsors and managers of automation initiatives should carefully consider building these elements into their projects from the outset.
If businesses are aware of the potential post-migration challenges ahead of time, they will be more prepared to take the necessary steps to prevent them.
Don’t automate for the sake of automating. Identify which tasks/processes will experience automation benefits that outweigh its upfront and recurring costs.
Recent trends point to a decline in traditional education due to changing views and alternative education opportunities.
IT leaders need to understand that a problem exists and then think through approaches. Once they do that, the technology to employ is easier to figure out. Here's some guidance.
If AI lets you implement discriminatory pricing or restrict access to a product based on a customer’s race, age or gender, should you?
While there is no silver bullet for attracting and hiring great security talent, there are techniques that can dramatically increase your team’s success.
Use analytics to your advantage to support your HR department, sales and marketing teams, team managers and ultimately your customers.
What you’ll learn about customers by incorporating design thinking will improve operations and make your bottom line much easier to achieve.
Investing in every shiny new tool won’t necessarily make your work space more productive or give your company a competitive edge.
Decision makers should consider whether conclusions are influenced by shortcomings in the observable data and whether the algorithms properly address biases.
Today, open source and the enterprise are more interconnected than ever before, sharing valuable projects, time, and resources.
Organizations that use intelligent automation to amplify human potential will stay ahead in the game, while those that don’t will lag.
Emotional cognition is maturing, and there’s a great deal of potential. Perhaps ‘happiness’ is in store for AI-powered bots in the not-too-distant future.
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.