Profile of Guest CommentaryGuest Commentary
Member Since: 11/18/2013
News & Commentary Posts: 250
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
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.
The FCC's recent net neutrality ruling has the potential to expose enterprises engaged in digital business, as well as cloud companies and their customers, to high premiums for their Internet access.
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.
With SaaS technologies organizations can better qualify their leads through data touch points and data science.
Open source software isn't free, whether looked at in terms of hard dollars or in missed opportunities.
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.
Blockchain holds promise for the banking industry, offering a transparent and security form of doing business.
Companies should create a chatbot readiness checklist to help define a bot design strategy.
New capabilities in CRM and digital marketing solutions require a strategic reassessment.
These are exciting times for those determined to propel their business towards the next age of digitalization, but beyond the sophisticated tools and intelligent machines, leaders have to give thought to how their employees will help to drive success.
An successful RPA initiative calls for careful planning and communication, and starting small before trying to scale.
Among the growing number of potential applications for blockchain is border management and security.
Individuals with generational differences can learn to manage conflict effectively, and bring positive results from a conflict-laden environment.
A look back at a quarter century’s worth of experiences that companies of all sizes can learn from
As data becomes more valuable to organizations, its usefulness for analytics means that more data needs to be stored for longer periods of time.
An analytics economy is emerging, where organizations differentiate themselves and succeed with a blend of data, analytics, and collaboration.
IT pros ready for a change should consider the smart home market to leverage skills such as IT security, networking and development.
IT’s role within an organization has always been a critical one, but the advancement of business intelligence and data analytics will make IT exponentially more strategic.
DevOps presents an opportunity to build better software, but there's no guarantee of success. A look at how to do DevOps right.
As long as human and artificial intelligence work in tandem, we’ll continue to make each other better at what we naturally do best.
To achieve the benefits of digital transformation, an organization has to do more than buy new technology tools.
Prevedere CEO Rich Wagner takes a look at the skills that IT leaders share and what they might need to work on to move into a CEO role.
With 77% of executive priorities now dependent on technology, the composition of the project portfolio is shifting dramatically toward digital work. Legacy approaches to managing IT projects, programs and portfolios can’t keep up with this shift.
The future of IoT and 5G networking isn’t something that “will happen” in the coming years. To some extent, it’s already here, setting the stage for further growth.
With wait time or idle time being a waste of time with new benefit, think about how you can mitigate or even eliminate the problem.
DevOps may be up and running for your enterprise. Taking the time to integrate security will keep it that way.
Use of technology is a defining characteristic of millennials, so if you don't provide simple and instant application access in the workplace they will find their own alternatives.
To mitigate the risks presented by more aggressive cyberthreats, organizations need to get out in front of those threats.
New tools and technologies can help employees work smarter, but only if they are integrated and data silos are broken down.
Big data analytics promise tremendous benefits for organizations, but there are a few gotchas that stand in the path to success.
Cybersecurity initiatives for government agencies -- in fact, other organizations, too -- have to be proactive and iterative.
It's time for IT groups to stop fighting the tide and work with business units to support shadow IT.
While the unicorns that are data scientists have their place in an organization, management needs to empower proven business leaders to take on the role of citizen scientist.
Get ready for digital twins to revolutionize how products are manufactured, sold, and supported.
The opportunities to utilize neural networks are growing across a broad range of industries and market sectors.
It's time for an IT overhaul, one that can support an organization's move through digital transformation.
With a career path that has led from a tech role to venture capital investing, Mark Minevich shares advice for other career changers.