Millennials and Gen Z Would Rather Text Each Other Than Do This, According to a New Study

You know the stereotypes about Millennials and Generation Z, but are they real?

Are Millennials really glued to their phones? Do the members of Gen Z really refuse to make phone calls at work? 

Actually, um, maybe–yes–at least, according to a new study, in which almost 75 percent of American Gen Z and Millennials told researchers that they prefer to talk with other people via text message–as opposed to actually talking with them.

This is all via a 4,000-person survey conducted last month by the folks at LivePerson, a company that provides mobile and online messaging business solutions, asking participants in the United States, United Kingdom, Germany, Australia, Japan, and France about their digital media and in-person preferences.

The company also surveyed 1,016 adults 35 years old or older in the United States to use as a benchmark to which they could compare the Millennial and Gen Z answers.

“What we see in the research data is the phone truly becoming an extension of the self, and the platforms and apps within it — digital life — occupying more than their offline interactions,” said Rurik Bradbury, global head of communications and research at LivePerson.

Among the other findings:

1. The phone is the new wallet

Given a choice to leave either their wallet or phone at home, just under 62 percent said their wallet. Among the older cohort, 72 percent of those over age 35 said they’d leave their phone and take their wallet.

2. The phone is almost a part of the body

Nearly two-thirds of 18-34 year olds say they habitually bring their phones with them when they use the bathroom, and nearly half say they regularly text while walking in crowds. Also, more than 70 percent of Gen Z and Millenials say they sleep with their phones within reach. Half say they automatically pick it up if they’re awakened during the night. Also, They’re super-impatient.

3. Instant gratification

According to the study, Millennials and Gen Z “expect digital convenience in all aspects of their lives,” or they’ll walk away from a sale.

“For less expensive purchases (under $ 20 or equivalent), 73.4 percent of Millennials will give up on a brand within 10 minutes if they don’t get the answer they need,” the report sys. Forty percent said they’ll wait no more than five minutes.

4. Phones over dollars

More than half of Millennials and Gen Z respondents said it would take more than $ 1 million to convince them to give up their smartphones; in fact just over 43 percent said it would take at least $ 5 million.

5. Forget “digital first,” how about “digital only?”

Seven out of 10 of the 18 to 34-year-olds surveyed said they could imagine a world in which there is no longer any such thing as brick and mortar stores, and all purchases would be made digitally or online. Moreover, almost 20 percent of Americans in that age range said they’d actually prefer to do all shopping digitally, without ever talking with a human being.


IDG Contributor Network: SIP trunks are more reliable than a PRI T1

Are SIP trunks as reliable as an ISDN PRI T1?

I’m asked this question a lot, so I thought it’d be a great blog topic.

I don’t think you are as concerned with this as the amber lights in the server room… But if you are making any changes to your company’s phone system, I’m assuming this question is on your mind.

The simple answer is… no. SIP trunks are not as reliable. They are more reliable than a Primary Rate Interface (PRI). But it has nothing to do with the public Internet.

To read this article in full or to leave a comment, please click here

Computerworld Cloud Computing

Five things AIs can do better than us

For millennia, we surpassed the other intelligent species with which we share our planet — dolphins, porpoises, orangutans, and the like — in almost all skills, bar swimming and tree-climbing.

In recent years, though, our species has created new forms of intelligence, able to outperform us in other ways. One of the most famous of these artificial intelligences (AIs) is AlphaGo, developed by Deepmind. In just a few years, it has learned to play the 4,000-year-old strategy game, Go, beating two of the world’s strongest players.

Other software developed by Deepmind has learned to play classic eight-bit video games, notably Breakout, in which players must use a bat to hit a ball at a wall, knocking bricks out of it. CEO Demis Hassabis is fond of saying that the software figured out how to beat the game purely from the pixels on the screen, often glossing over the fact that the company first taught it how to count and how to read the on-screen score, and gave it the explicit goal of maximizing that score. Even the smartest AIs need a few hints about our social mores. 

To read this article in full or to leave a comment, please click here

Network World Cloud Computing

Cloud services lift IT outsourcing market higher than expected

Companies signed IT and business process outsourcing deals worth a record $ 9.5 billion in annual contract value, according to the quarterly outsourcing index produced Information Services Group (ISG). Traditional outsourcing contracts were up 5 percent to $ 5.8 billion, while the fast-growing as-a-service segment leapt 20 percent to $ 3.7 billion, according to ISG.

“Most conversations we’re having with clients are cloud-led,” says John Keppel, ISG president, for Europe, Middle East and Africa. “Enterprise customers are first seeking to be more cost efficient so that they can redeploy funds into digital and cloud activities.  But we’re also seeing them pivot quickly to broader digital transformation initiatives that are focused on creating a customer-first environment that is intelligent and mobile. This is a very long game and we are in the early stages at this point.”

To read this article in full or to leave a comment, please click here

CIO Cloud Computing

CloudMounter review: Less than perfect cloud storage on your desktop

Remember Bitcasa, the ill-fated “infinite” cloud storage outfit who wound up throwing in the towel after only three years? For all their faults (and there were a few!), they did get one thing right: Infinite Drive, which put that vast quantity of cloud storage alongside normal hard drives on the Mac desktop.

cloudmounter desktop icons

CloudMounter volumes are easy to identify in the Finder, with bright, colorful drive icons customized for each service.

To read this article in full or to leave a comment, please click here

CIO Cloud Computing

Microsoft: Government’s data gag order practices worse than first thought

Microsoft has significantly upped the tally of U.S. government gag orders slapped on demands for customer information, according to court documents filed last week.

In a revised complaint submitted to a Seattle federal court last Friday, Microsoft said that more than half of all government data demands were bound by a secrecy order that prevented the company from telling customers of its cloud-based services that authorities had asked it to hand over their information.

The original complaint — the first round in a lawsuit Microsoft filed in April against the U.S. Department of Justice (DOJ) and Attorney General Loretta Lynch — had pegged the number of data demands during the past 18 months at 5,624. Of those, 2,576, or 46%, were tagged with secrecy orders that prevented Microsoft from telling customers it had been compelled to give up their information.

To read this article in full or to leave a comment, please click here

Network World Cloud Computing

Need machine learning? HPE just launched a new service with more than 60 APIs

CIO Cloud Computing

Why monolithic apps are often better than microservices

Sinclair is CEO and cofounder of Apprenda, a leader in enterprise Platform as a Service.

With all of the talk these days about microservices and distributed applications, monolithic applications have become the scourge of cloud systems design. Normally, when a new technical trend emerges to replace a previous one, it is due (at least in part) to evolved thinking. The odd thing with monolithic application architecture, however, is that nobody ever proposed it as a good idea in the first place.

The idea of loosely coupled services with clear boundaries has been around for decades in software engineering. So, how did we end up with so many apps “designed” as monoliths? In a word – convenience.

The fact is, in many use cases, monolithic architectures come with some non-trivial and durable benefits that we can’t simply discount because it doesn’t adhere to a modern pattern. Conversely, microservices can introduce significant complexity to application delivery that isn’t always necessary.

As a fan of microservices, I fear enterprises are blindly charging forward and could be left disappointed with a microservices-based strategy if the technology is not appropriately applied.  The point of this post isn’t to pour FUD onto microservices. It’s about understanding tradeoffs and deliberately selecting microservices based on their benefits rather than technical hype.

Debugging and testing

Generally speaking, monolithic applications are easier to debug and test when compared to their microservices counterparts. Once you start hopping across process, machine, and networking boundaries, you introduce many hundreds of new variables and opportunities for things to go wrong – many of which are out of the developer’s control.

Also, the looser the dependency between components, the harder it is to determine when compatibility or interface contracts are broken. You won’t know something has gone wrong until well into runtime.


If your shiny new mobile app is taking several seconds to load each screen because it’s making 30 API calls to 30 different microservices, your users aren’t going to congratulate you on this technical achievement. Sure, you can add some clever caching and request collapsing, but that’s a lot of additional complexity you just bought yourself as a developer.

If you’re talking about a complicated application being used by hundreds of thousands or millions of users, this additional complexity may well be worth the benefits of a microservices architecture. But, most enterprise line-of-business applications don’t approach anything near that scale.

Security and operations

Fortune 500 enterprises I work with struggle with managing the relatively coarse-grained application security IT departments use today. If you’re going to break up your application into lots of tiny services, you’re going to have to manage the service-to-service entitlements that accompany this plan. While managing “many as one” has time tested benefits, it’s also contrary to the motivation behind microservices.

Planning and design

Microservices have a higher up-front design cost and can involve complicated political conversations across team boundaries. It can be tricky to explain why your new “pro-agile” architecture is going to take weeks of planning for every project to get off the ground. There’s also a very real risk of “over-architecting” these types of distributed solutions.

Final thoughts

Having said all of this, microservices can absolutely deliver significant benefits. If you’re building a complicated application and/or work across multiple development teams operating in parallel and iterating often, microservices make a ton of sense.

In fact, in these types of situations, monolithic applications simply serve as repositories of technical debt that ultimately becomes crippling. There is a clear tipping point here where each of the advantages of monolithic applications I described earlier become liabilities.  They become too large to debug without understanding how everything fits together, they don’t scale, and your security model isn’t granular enough to expose segments of functionality.

One way to help reduce and in some cases even eliminate the technical “tax” associated with microservices is to pair them with an enterprise Platform as a Service (PaaS). A proper enterprise PaaS is designed to stitch together distributed services and takes deployment, performance, security, integration, and operational concerns off the developer and operators’ plates.

Why monolithic apps are often better than microservices originally published by Gigaom, © copyright 2015.

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