Profile of Guest CommentaryGuest Commentary
News & Commentary Posts: 379
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
Proactive relationship management with early customers is critical to the success of growing start-up companies.
The data team structure that your company has used for a few years needs to turn its focus to results and putting analytics tools in the hands of business units.
Artificial intelligence and machine learning already are having an impact in a sector that concerns all of us, healthcare.
The growing reliance on AI and machine learning in the coming decades can have a negative impact on many jobs while raising new social issues. Yet, businesses can minimize those impacts.
Continued broad development of AI technologies and concepts require new approaches to collaboration between industry organizations and academia.
In the emerging, AI-powered workplace, there's plenty of work to be done, some suited for machines and some suited for humans.
Face recognition can be a valuable tool that makes our lives easier and safer, but it has to be done right.
You might be surprised to learn that the driving force in growth of the Internet economy isn't the number of buyers, but the number of sellers.
IT executives, with their view into technology's potential, are leading key innovation efforts, and it looks like more of their peers will do the same.
When it's time to preserve company data and communications relating to pending legal matters, the IT and legal groups have to work together.
The growing importance and complexity of IT mean that the CIO needs a seat at the table when it comes to driving innovation.
In a post-GDPR world, IT and business leaders face unprecedented pressure to demonstrate they are responsible data stewards. Here are six steps that might help.
Imagine rebuilding an airplane in flight. That's how you can modernize your enterprise technology.
Predictive analytics, offering a data-enabled view into what is likely to happen, are key to driving organizational change.
Women play an important role in building an innovative workforce, so itís critical to support to the next generation of women technologists and empower their careers.
Get ready for a radical shift in job roles and functions, with greater value being placed on different or new skillsets.
Establishing the right culture will get your DevOps initiative off on the right foot.
AI can expedite manual processes that exist throughout an enterprise, but the nature of the human insight is necessary to rationally manage these processes and make contextual decisions.
While there is no exact definition of what a smart city must offer its citizens, there is also no shortage of "smart" initiatives.
Ever wonder how Google, Microsoft, and IBM are winning the race for tech talent? It just might boil down to the ability to weave relevant learning and development opportunities into every stage of employee life cycles.
Cloud migration often leads to the outsourcing of critical activities. So how can your IT staff continue to contribute during this transition?
As governments employ AI in public safety applications they have to stay laser-focused on building public trust in the outcomes.
Dealing with a couple decades of technical debt takes effort across the organization, but you can do it if you give your team time to lay out a plan and take the first few steps.
The trend toward API-based banking offers a model for health records, giving patients access to and control over their personal health data.
Organizations can reap the full benefits of the cloud and avoid potential security risks by following four fundamental steps.
The days when businesses could succeed with innovation without partnering are pretty much gone.
Enterprise IT professionals offer their insights into two of the leading cloud platforms, AWS and Azure.
Is artificial intelligence a date with the devil or natural evolution?
What can go wrong with DevOps? Plenty, but you can still learn from your mistakes and the mistakes of other people.
Leveraged efficiently, data can help an organization understand its customer needs, recruit the right talent, and define a strategy for the 21st century.
Accept that your organization will migrate to the cloud, but also understand that such a migration requires planning and a staged approach.
If you are losing sleep over concerns about how to implement intelligent automation in your organization, you aren't alone.
Organizations need to understand which U.S. sales and marketing practices are allowed under GDPR, and which are not.
As virtual, augmented, and mixed reality technologies get ready for the enterprise, the enterprise has to get ready for digital reality.
Democratization through machine learning and knowledge-sharing tools is expanding data science capabilities to more and more "citizensĒ in the broader working community.
Implementing sports betting isn't just about legality but about data and building out the software to support oddsmaking, new types of betting, and financial requirements.
Imagine how your next client will react when you maintain your original project timeline or close to it.
Recent tech advances, such as human-sounding AI tools, highlight why companies have to establish ethical standards in the use of AI.
Cross-departmental collaboration and design thinking are critical to next-generation AI success.
There's much more to implementing Robotic Process Automation than plugging in a software package. It's about the business as much as technology.
Companies may have to adopt a multi-faceted approach to adding the data science skillsets that they need to succeed in business.
Formalized customer engagement programs are ideal for gathering input to product development, validating corporate strategies and deepening relationships with key customers.
Technology steps up to take on the global fake news challenge.
The pendulum has swung in the software business, with customers demanding vertical market expertise rather than general-purpose software.
An effective center of excellence can help IT leaders accelerate their organizationsí automation efforts to yield bottom-line results.
Focus on roles, not job titles within a Scrum team.
Yes, there are ways for Blockchain applications to be compliant with the European Union's GDPR privacy regulations.
Digital transformation isn't just some technology project. It requires that an organization rethink its business model and how it serves the customer.
Putting engineers to the test keeps everyone sharp and prepared for the unexpected.
The decision process for selecting the right cloud options for various applications starts with an assessment of each individual application.
Enterprises that need to compete with today's tech driven market leaders have to embrace new approaches to automation.
A valuable tool in delivering great customer experience in an IT project is customer journey mapping.
Setting and sticking to business goals and engaging end users are among the ways to help your CRM implementation succeed.
By empowering developers to expand the work they perform related to security, enterprises can ensure that security is front and center from the start.
Successful implementation of a technology project starts with an understanding among the project team and the business teams that will use the technology.
Consider how cloud options have changed the way we think of data centers in just a few years.
Acting on data analytics isn't just about identifying areas to cut costs. Analytics also can drive new revenue opportunities.
The buck stops with the chief data/analytics officer in modern business intelligence.
One way to innovate today is to employ Paleofuturism, where you look to what futurists of the past got right and where they missed.
Putting data and analytics tools into the hands of business users is one key to developing a data-driven organization.
Developing and deploying software based on machine learning is a very different animal in terms of process and workflow.
CIOs who want their companies to succeed with digital transformation need to have a long-term approach, focusing on the long-tail benefits.
Two emerging technology concepts -- blockchain and microservices -- are critical to enterprises hoping to find success in technology-based partnerships.
Communication between organizations -- IT buyers and suppliers -- today should be viewed as a dialogue that extends beyond selling and customer support to driving business strategy and product design.
Advances in technology mean a shift in IT roles, with IT pros having to be more forward-looking and focused on new services that enhance business agility.
Getting started in new and complex client environments, a Bell-Curve based Agile delivery model may help reduce risks and offer a better probability of success.
With the continuing avalanche of computing demand and data moving compute and data closer to the user is now a necessity.
Enterprise executives considering an automation initiative need to be clear with internal and external stakeholders about how automation fits into the organizationís priorities.
Enterprises may be asking for trouble if they go with a single-cloud strategy.
Implementing machine learning isn't just about the technology; it requires organizational changes too.
Enterprise interest in the Internet of Things and artificial intelligence are coming together, with AI helping the IoT do its job.
As the world of technology continues to change at a rapid pace, so do the roles and responsibilities of IT leaders.
While organizations are placing greater demand on data centers, IT managers do have ways to work within tight budgets.
Blockchain isnít yet a silver bullet for businesses, but nonetheless it's evolving at a pace that demonstrates value for enterprise-level companies
Get your digital transformation initiative off on the right foot by addressing three basic issues right up front.
Missing the transition from legacy integration to using APIs to connect internal systems might prove the difference between business success and failure.
IT is no longer just about keeping the lights on. These days organizations are relying on IT to help deliver a competitive edge through digitization.
Artificial intelligence just might be as much a prevention or cure for job loss as a cause.
Good arguments can be made for use of biometrics in security, but the technology does have is flaws.
Companies that have applied change management to previous business or process changes must acknowledge that the pace and nature of agile means that traditional change management may not be enough.
Just as regulations were needed for the auto industry to mature, regulations like GDPR help data-driven marketing to grow up.
Successful cloud implementations are driven by speed, flexibility and fine-grained resource management. Focus on these drivers, and the savings will accumulate.
IT managers who can adapt their personal styles to the needs of local cultures and employees are best positioned to succeed in the global arena.
A key to your success with AI is building out an infrastructure that will support today's apps but also the workloads and data volumes of the future.
It is clear that artificial intelligence will cause disruption in the workplace, but will it actually lead to mass job losses and discontent?
Lesson learned decades after the dawn of ERP software: Read the fine print, and understand exactly what it means.
IT professionals in the field discuss some of the best practices that help to make DevOps initiatives successful.
One in six people around the globe lack a legal identity, making it almost impossible for them to get real jobs, to vote, and to own property. Blockchain promises to give them proof of identity.
Re-architecting for the cloud is never easy, but following some key steps can result in an optimized strategy that positions your company for cloud migration success.
Countries, as well as companies, are vying for supremacy in the artificial intelligence market.
While it's a challenging and time-consuming process, the creation of an enterprise data warehouse stocked with the right data will ease management, empower the business, and enhance the customer experience.
A company's effort to comply with GDPR don't end on May 25. The work is ongoing, tied to a recognition of privacy as a fundamental right.
C-suite executives can't sit back and wait for the IT team to build out an enterprise strategy for artificial intelligence. Those execs have to get involved right from the start.
How technology and the new workforce are changing the enterprise dynamic.
Credential issuers are collaborating on a common credentialing language that aims to transform the way students, workers, education institutions, and employers describe and share credentialing information.
The ambiguities of the English language present hurdles for initiatives to utilize conversational AI in the corporate world.
IT professionals who get involved in new product development can learn from experts speaking at a 2017 product summit.
Being able to trust an autonomous system goes beyond ensuring that data is accurate; it also calls for understanding the origins of that data.
Gather as much data as you can about your customers, optimize metrics to address business questions, and build out your AI-based applications.
Migrating an application to the cloud involves much more than just selecting a cloud provider. It can be done, but think security, connectivity, and things like labor costs.