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News & Commentary Posts: 339
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
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.
While the rationale for modernizing IT is often apparent, sometimes the messaging and positioning on the part of the IT group is just as important.
IT executives know that the cloud is changing everything, but they might forget that they have to update their disaster recovery plan accordingly.
It's a mistake for companies to view compliance with GDPR as just a financial burden. There are real benefits to be had in understanding and protecting customer data.
The cloud is much more than on-demand computing and storage resources. It is the foundation for a whole new world of exciting and smart ways of doing business.
When deploying an analytics initiative throughout an organization it's time to utilize agile concepts.
The successful shift to an agile organization isn't just about a mandate from above; management has to embrace agile as a way of doing business.
When it comes to customer service automation, don't think robots can do it all. They need to work in combination with human staffers.
Dabbling in the cloud rather than having a cloud strategy with assigned responsibilities is a step toward disaster.
How data, subscriptions and new business models are transforming the CIOís relationship with the customer.
It will take a multi-pronged approach for IT organizations to stop the escalation of IT costs.
The adoption of AI applications isn't about replacing workers but helping workers do their jobs better.
Agile and DevOps concepts help businesses get the basics of applications to market quickly, and those same concepts can help prepare the military for its challenges.
It's crucial for a data protection officer -- required under the EU's GDPR -- to have a enterprisewide view of an organization's stored data and how it is used, or not used.
For those who think that DevOps is a one-off project or simply a set of tools, check out why those and other beliefs are myths.
A key challenge for business and IT leaders is establishing -- and evolving -- a company culture that balances the need for winning with playing by the rules.
Five steps to bring the top financial and technology executives closer together for the good of the company.
While blockchain holds great promise for some applications, companies have to understand the various challenges.
Whether they are making a case to the board for new IT investments or working with find the right technology fit for end users, CIOs have to sell, sell, sell.
While machines represent large capital investments and demand support resources, a company's greatest asset could be the advanced technology that keeps those machines running efficiently
Business leaders need more than technical speak; they need cogent answers to critical business questions.
IT and business leaders can benefit from learning what blockchain means to their organizations and explaining the benefits, and drawbacks
Seven techniques that will help create natural project checkpoints, stakeholder feedback loops, and system adjustments throughout your digital transformation initiative.
An experienced open source expert offers some tips for how to succeed with open source software, starting with an open source project office.
If you are getting started with the cloud or just concerned about security, here are five steps to consider in your security strategy.
Don't lump the various types of AI-based technologies into one basket. There are differences among them, as a look at call center tech highlights.
Like Hollywood and Washington, D.C., Silicon Valley and the tech world must step up to combat entrenched biases.
Project managers don't have to be left out in the cold when a company moves to agile development. Here are some tips for how a project manager can contribute to the company's success.
Employers have to understand that employees -- young and old -- are accustomed to using digital tools as consumers, and they expect their companies to utilize technology concepts such as cloud computing, DevOps and open source software.
Non-traditional technologies shaping the future of business include virtual reality, augmented reality, and mixed reality.
Digital transformation may be more about you than about technology.
Organizations implementing the Industrial Internet of Things can't burden data scientists with cleaning up huge volumes of dirty data.
Career advice for computer scientists and IT professionals: Talk to, listen to, and work with your peers in a multi-disciplinary environment.
Data science techniques are getting better, cheaper, and easier to use. Even small and medium sized organizations can now tap these technologies. But, if you fail to properly introduce, support, and integrate data science capabilities, a lot of money can be wasted.
Having a simple, understandable user interface on an application aids user acceptance, and even considerations such as interoperability and security.
Senior executives who have been making hollow promises about embracing data-driven strategies need to be convinced that now is the time for real action. Here are some ways that data professionals can gain the support they need.
If you get the sense that Internet of Things adoption is sluggish, consider that it is going through a normal process.
Traditional IT has to make way for the intelligence-based business model.
Being resilient, particularly in a time of disruption, is a relentless, often fanatical pursuit to be at the forefront of your industry.
Expanding a successful department-level agile initiative across an enterprise requires an agile project approach of its own.
We are heading toward a new digital world where low-code or no-code platforms will enable anyone to assemble applications.
For all of the attention that tools like Siri have generated, we're still only at the dawn of the artificial intelligence revolution.