Profile of Guest CommentaryGuest Commentary
News & Commentary Posts: 281
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
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.
Speakers at the RSA Conference this week shared some advice on how business leaders can deal with hackers who are trying to extort payments from an organization.
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 CIO’s 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.
Update your traditional IT metrics to look across functions and the entire DevOps value chain.
Adoption of DevOps can help organizations comply with GDPR and other privacy standards by building security into software from the start.
About decade after it debuted the DevOps concept has evolved and built up a base of advocates, but it still presents challenges.
The transition from the business world of 2017 to that of 2018 features some shifts in culture across organizations.
Voice recognition technology seems to be taking over the world, but the concept still has a ways to go before it reaches full maturity.
The Internet of Things can drive change in an organization, providing data into a wide range of operational activities. But that change can require integrating that data into the systems used for key decisions.
Some toolchain leaders are emerging, but mind the cultural and other details to successfully implement a DevOps strategy.
The evolution of analytics and machine learning are shaping the industry’s future, mitigating risk, improving business, and helping develop types of policies that individuals and businesses need, even before they know they do.
Healthcare organizations and the patients they serve have to step up to ensure that medical records and devices are secured from hackers.
Always a concern, workplace stress has soared to new levels in the tech sector.
It's no longer about just cutting costs. CIOs must figure out ways to monetize tech including data, and where newer systems like blockchain can fit strategically.
Startups and large enterprises can each benefit from working together, but too many partnerships fall apart or never get started.
As we move into an age of artificial intelligence tech teams have to strive to eliminate bias in their AI apps.
Subscription-based IT services aren't just about saving money; they can help secure your data.
Chatbots have established their place in the home and our personal lives; now watch what they can do in enterprise applications over the next few years.
Developing software that is intuitive and meets user needs calls for a close partnership between a vendor and a couple of key customers.
The traditional approach to IT asset management is flawed and needs to be replaced with a strategy that factors in the reliance on cloud computing and SaaS.
As the popularity of open source grows, it's important to remember that with growth comes complexity and that being involved in open source comes with the mindset that collaboration makes the world a better place.
True innovation often isn't about leveraging a single technology but making good use of multiple technologies in combination.
For companies to unlock cloud computing’s true potential, business leaders need to adopt an agile approach, targeting innovation and business transformation.
These days, enterprises have to track new metrics such as engagement, revenue per user, and the overall customer journey, which involve blending a complex web of data streams into a comprehensive marketing and sales funnel.
Keep an eye on the software arena, as the service mindset, the cloud, agile, and the IIoT drive change.
Unless you can compete on salary with the likes Google and Facebook, fill out your artificial intelligence and machine learning teams using alternative approaches.
Automation in the corporate world isn't on the way, it's here. Now, do it right.
The purpose, tasks, and required skillsets are dramatically different for data scientists and their work in commercial and industrial environments.
US regulators and companies can follow the lead of the EU, with its GDPR, to better protect consumer data while recognizing that the data belongs to the customer, not a company.
As businesses wrestle with the challenges that come with new technologies and concepts such as transformation it's more important than ever that IT and business leaders work as partners.
As machine learning technologies evolve developers in a range of fields are finding innovative ways to solve challenges.
Start an Agile initiative by carefully taking stock of the organization's goals, challenges, and capabilities.
Amazon's announcements at AWS RE:Invent make it highlight an AWS message that serverless is the way to go, which isn't good news for those in operations jobs.
You might not be able to compete with the behemoths, but there are some things you can do to find great talent. Think about partnering with other companies and how multi-disciplinary teams can help fill gaps.
As companies turn to the hybrid cloud to future-proof business and innovate faster, there are some emerging needs that they should address.
Open source software isn't free, whether looked at in terms of hard dollars or in missed opportunities.
With SaaS technologies organizations can better qualify their leads through data touch points and data science.
As organizations move to hybrid clouds they have to adjust their thinking and how they look at key concepts.
Few tools exist to measure or fix multi-cloud problems. Help is on the way; major software vendors are addressing the issue.
While there are benefits from adopting an agile strategy, your organization can take success to the next level by also utilizing design thinking to identify problems.
Having established a foothold in the home with its Alexa personal assistant, Amazon now has the office market in its sights.
These four warning signs just might indicate that you need to implement or update DevOps initiatives within your organization.
As IT executives set out their plans for 2018, three key technology concepts should be top priorities.
Executives who have done it share their experiences and advice on knowing when and how to spin off an IT-based startup.
Amazon's announcements at AWS Re:Invent continue to extend AWS offerings far beyond basic infrastructure services.
A key to a successful DevOps initiative is ensuring that team members stay involved at all stages of the development, test, and deployment cycle.
Faced with the rapid pace of technology changes, organizations have to plan for continuous re-skilling of their tech workforces.
Gathering user feedback is a key element of a DevOps strategy, but you have to be proactive in collecting that feedback.
Following the privacy rules set out in the EU's GDPR isn't just about compliance; it shows customers and others that they can trust your company.
Don't build custom software for general purpose computing needs that are better served by third party applications.
The cost of protecting applications from cyberattacks is climbing fast. So, it's time for business units to help cover the pricetag.
If companies are forward-thinking in their application of predictive analytics, AI, and machine learning they can make these technologies inclusive, and available and relevant to all people.
Good intentions alone don't make for a successful hackathon. Here are some lessons learned at Adobe.
If you want build trust in machine learning, try treating it like a human, asking it the same type of questions.
Cybersecurity doesn’t have to be just a cost of doing business. With the right approach, it can both protect while creating new levels of business growth.
Employee burnout is a growing problem, and in the IT sector -- with its ever-evolving technologies and demands from business leaders -- is no exception.
Companies in every industry have to be ready to embark on digital transformation and innovation initiatives. Even the largest enterprises can achieve success if they set out with a start-up spirit.
It’s the combination of practices and tools that allow organizations to achieve enterprise DevOps and optimize the value of their entire software pipeline at scale.
Blockchain isn’t a miracle technology to solve all problems at once. It is a fundamental shift in the way companies transfer data between two parties.
The DevOps concept's focus on speed to market and continuous release can leave gaps in software quality. Understand which ones you can live with, and which are critical.
There's great value for companies to use automation technologies in analytics, taking advantage of the vast data sets now available. Making machine learning models more precise isn't just about technology; but a reimagination of business structure and the roles of tech and people.
Successful enterprise DevOps transformations share several common characteristics, strategies and techniques which enable an organization to break down the transformation into smaller, achievable steps.
It's time for the IT security team and the physical security team to work together on a "cyber-physical" security strategy.