06Jun

Shadow IT is one of the (many) things that keep system admins awake at night.

Right now, someone in every organization with more than a handful of workers is using an app they got from the internet that the IT department knows nothing about.

Unapproved technical tools – apps, cloud services like Dropbox or Google Drive, and personal devices – present potential and very real security concerns. They also come with not insignificant costs when multiple business groups buy duplicate solutions. By some estimates, 40% of spending on software and tech services occurs outside the IT department.

So common is it for a computer user to use a cloud service or download an app or tool to help them do their job that Microsoft says the average number of apps being used in an organization is around 1,000.

“80% of employees use non-sanctioned apps that no one has reviewed, and may not be compliant with your security and compliance policies,” Microsoft says, introducing a tutorial for using one of its products “to discover which apps are being used, explore the risk of these apps, configure policies to identify new risky apps that are being used, and to unsanction these apps.”

Hunting down and shutting off these apps and unapproved services does help with the security risk. But relying entirely on that approach is a never-ending policing effort that only contributes to the “Department of No” perception of IT.

A recent CompTIA article on the subject says imposing ever greater restrictions may even be counterproductive. “Enhanced rules may cause workers to venture outside of approved IT more, rather than less — especially if they feel their pain points are being ignored.”

The article suggests a more benign approach that actually allows some types of shadow IT uses while also educating workers about the risks and providing them with the functionality they want.

The latter is the approach the US Department of Veteran’s Affairs is taking.

“You have to give your customers options. If they don’t feel like they’re getting serviced properly from the central IT function, they’ll go find their own way, because they’ve got a mission to execute,” Dominic Cussatt, the agency’s principal deputy chief information officer, says.

He explained that the VA is developing portfolios of services from which customers can shop.

Reporting on Cusatt’s comments at a conference, FedScoop reported, “The idea is that these portfolios are ready to deploy, checked out from a security standpoint and with buys already in place.

“Said Cusatt, ’That ease of access helps them and helps them avoid seeking other options.’”

Photo by Christina @ wocintechchat.com

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Wanted: Tech Pros with Open Source Skills

Developers skilled in open-source cloud technologies get jobs faster and command higher salaries, according to a survey of tech professionals from IBM.

Cloud and OSS skills - blog.jpg

“Respondents associate open source technologies with higher wages, more job opportunities, and more professional opportunities,” says IBM in The Value of Open Source in the Cloud Era.

Based on a survey of some 3,400 developers and IT managers, IBM found broad agreement about the value of open source skills and their importance in hiring decisions. Among just the hiring managers in the survey, 56% “agreed” or “agreed completely” that open source skills and experience were important factors in their hiring decisions.

A second report, this one from the Linux Foundation, found even stronger agreement among hiring managers about the significance of open source skills. In the Foundation’s survey detailed in its 2020 Open Source Jobs Report, 70% said they were more likely to hire a tech pro with these skills.

According to IBM, open source skills are especially prized because of the prevalence of cloud technologies. It’s not uncommon, says IBM, for an enterprise to use 8 different clouds. Citing The hybrid cloud platform advantage from its Institute for Business Value, IBM said there’s such a surge in hybrid clouds – a combination of public clouds, private clouds, and on-premises IT – that adoption will grow by 47% in the next three years.

In fact, that report found most vendors are now leveraging open source technology in some fashion in their cloud platforms.

The IBM survey on the value of open source found 70% of the respondents reporting they prefer working with an open source-based cloud platform. Only 7% preferred a proprietary one.

Open source software (OSS) was rated equal to or better than proprietary software by 94% of respondents.

Because of the mix of different vendor cloud services and the hybrid cloud growth, 54% of the respondents in IBM’s survey said learning cloud computing skills specific to a single cloud provider limits their professional growth.

Two-thirds believe that “experience with open source provides greater long-term value for my career than does experience with the technologies of specific vendors.”

It’s a reasonable belief, given that among the different companies represented in the survey nearly all said they were using open source software in some part of their operation.

In a blog post discussing the survey, IBM said, “These findings all point to one thing: Open source skills are in demand. Developing skills in open-source software that supports cloud technologies will do the most to advance your career.”

Photo by NASA on Unsplash

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AI is Creating New Jobs, Changing Others

Long before the novel coronavirus caused a tech hiring slowdown, jobs calling for machine learning or AI skills were a hot trend. The pandemic has done nothing to change that.

If anything, COVID-19 is likely to increase the demand for AI professionals, says IDC analyst Ritu Jyoti.

“Because of the pandemic, IDC believes that AI spending and employment will increase among healthcare providers, education, insurance, pharmaceutical companies and federal governments,” she said, estimating the increase could be as high as 16%.

CIO.com did a survey to see what the emerging AI jobs are likely to be. Among the nine the magazine turned up were some familiar titles – data scientist, for example — and at least one that isn’t a job title but a description of skills. Familiar or emerging, all of the jobs have this in common: They not only require AI skills, but also a good grasp of business essentials.

Chief data scientist, a job that already exists at many companies in and out of the tech sector, is one of those familiar titles that is evolving from statistician to more of a business technologist. Increasingly, the job will require a basic understanding of the underlying technology as well as an appreciation of business needs.

“Data scientists know what data to use and what algorithms to deploy to get the best results, working with data engineers and software developers to turn this know-how into working applications — and with business units to ensure the technology meets business needs,” says CIO.com.

Data alone may yield interesting intelligence, but to wrest actionable value companies have long employed analysts. Emerging now is a category of analyst who works directly with data scientists and engineers and with the business side. These analysts not only must have an intimate knowledge of the operation, CIO.com says they also must be able to speak the AI technical language.

If this job sounds similar to the emerging chief data scientist role, it is — to a degree. These analysts will serve more as translators. They may not need to be fluent in data science, but they will need a higher level of technical expertise and a high degree of business acumen.

Finding and hiring professionals with these skills will not be easy. Anand Rao, partner and global AI leader at PricewaterhouseCoopers, told CIO.com that because schools are training for entry-level technical jobs, “The business and executive jobs need to be grown and cultivated within the firm and will pose a significant challenge to fill.”

One job with a familiar title that will be radically different on an AI team is quality assurance manager. Unlike traditional QA roles, an AI quality assurance specialist will be less concerned with the quality of the code than the quality of the data.

In an AI setting, quality assurance will be concerned with “incomplete, out of date, or biased training data sets,” says CIO.com. Though companies have yet to advertise AI quality assurance jobs, that’s coming. “Biased data is a particularly thorny problem that can lead not only to bad results, but also regulatory implications, bad publicity, fines, or lawsuits.”

Finally, notes the CIO article, are the emerging “citizen data scientists.” More a job description than a job title, these professionals will be skilled in using off-the-shelf tools to perform AI-related data tasks. As these AI analytics tools become increasingly easier to use, workers reskilled for AI and machine learning will take over from the highly trained – and expensive – data scientists who now do the job.

Photo by Michael Dziedzic on Unsplash

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