06Jun

At the start of every year, and often well into it, we’re bombarded with predictions about trends in every imaginable industry. Tech is no exception, and it may be the sector with the most experts issuing forecasts.

Recently, CBInsights published its own 12 Tech Trends To Watch Closely In 2021. What makes this list stand out is its almost sci-fi feel. This is no ordinary collection of trends.

Take quantum computing. Even if most of us have no idea what it is, we’ve heard enough to know that quantum computers are the coming thing and that their computing ability dwarfs anything we have today.

But CBInsights tells us that these computers have arrived. We hear about a Chinese quantum computer that last year solved an essentially unsolvable problem in a little over 3 minutes. The report reinforces the point that these computers are here now by noting that “equity deals to quantum computing startups set a new record of 37 rounds last year, an annual increase of 42%.”

The trend the report identifies is not about when these computers will be available on Amazon. Instead, it’s that “businesses will be forced to secure data faster than these computers can decrypt it.”

“The industry’s rising momentum is creating an arms race to secure data faster than quantum computers can decrypt it,” says the report, informing us that companies like IBM and Microsoft are already developing new encryption methods to address the coming problem.

That trend dovetails with the first of CBInsights’ dozen: the Chief Prepper Officer. “Companies shaken by the pandemic,” predicts the report, “Will start prioritizing resilience and turn to emerging tech as they look to onshore operations, build robust supply chains, and ready themselves for the next big crisis.”

Whether a company actually creates a Chief Prepper role, they are already investing in diversification of supply chains, sales and distribution alternatives and buying or developing AI forecasting tools.

As futuristic as these two trends seem at first glance, they fall back into the realm of good business practices with the CBInsights’ discussion.

One trend that still seems to have a foot in science fiction is the prediction about “affective computing.” The report predicts, “Businesses will prioritize building AI technologies that can interpret and respond to human emotions as they look to connect with consumers.”

The report tells us there already are startups that “use emotion AI to analyze elements of speech, like tone and vocal emphasis, to best match service agents and customers across industries.”

We read about how Amazon is using voice analysis in its wellness tracker to identify the emotions users may be feeling. And there’s s brief, but fascinating description of the auto industry’s use of AI. One existing application assesses driver fatigue. Hyundai and MIT are developing AI controls that “can optimize the environment of a vehicle based on passengers’ emotional states.”

Not every trend is as futuristic or novel. Some of the trends are familiar.

We’ve all heard about the workplace changes the COVID pandemic has caused or, like working from home, accelerated. Agreeing with the many predictions that remote work is here to stay, CBInsights tells us to “expect to see offices becoming increasingly like hotels used for short visits, and less like the cushy big tech ‘campuses’ that came into fashion in the pre-Covid era.”

“Many companies will see an irrevocable shift in office culture in the coming years. They will need to be prepared for a future where employees treat going into the office less like showing up at their home away from home, and more like a special occasion, like checking into a hotel.”

Photo by Josh Hild on Unsplash

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AI Chatbots Could Ease Demand on COVID-19 Hotlines

A solution to overtaxed COVID-19 hotlines could be only a chatbot away.

Researchers from the Indiana University Kelley School of Business found that when callers felt comfortable in the chatbot’s ability they considered the bot at least as good as a human.

“The primary factor driving user response to screening hotlines — human or chatbot — is perceptions of the agent’s ability,” said Alan Dennis, chair of internet systems at Kelley and corresponding author of the paper to be published in the Journal of the American Medical Informatics Association.

“When ability is the same, “he said, “Users view chatbots no differently or more positively than human agents.”

Noting that, as they write in their report, “The sudden unprecedented demand for [COVID-19] information is overwhelming resources,” Dennis and three other researchers set out to learn if people would use a chatbot and follow its advice. They presented text chats between callers and agents. Each study participant saw the same exact chat. Some were told the agent was a bot; others were told it was a human.

The researchers found the participants biased, believing the chatbots less able than a human agent. Those who trusted the provider of the chatbot service were more comfortable in the bot’s ability.

“The results show that the primary factor driving patient response to COVID-19 screening hotlines (human or chatbot) is users’ perceptions of the agent’s ability,” the researchers wrote. Driving that perception is the user’s trust in the provider of the screening hotline.

“A secondary factor for persuasiveness, satisfaction, likelihood of following the agent’s advice, and likelihood of use was the type of agent, with participants reporting they viewed chatbots more positively than human agents.”

“This positive response may be because users feel more comfortable disclosing information to a chatbot, especially socially undesirable information, because a chatbot makes no judgment,” they theorized.

To make hotline callers more comfortable and confident speaking with a chatbot, the researchers suggest the sponsoring organization develop “a strong messaging campaign that emphasizes the chatbot’s ability. Because trust in the provider strongly influences perceptions of ability, building on the organization’s reputation may also prove useful.”

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Python Is the Most Popular Programming Language

The answer is: C, Java, Python, C++, C#, JavaScript, PHP and R. What’s the question?

This should be simple for every software developer worthy of being called a professional: What are the most popular programming languages in the world?

TechRepublic selected these eight from among the monthly popularity lists compiled by TIOBE. The company, which specializes in assessing and tracking software quality, named Python programming language of the year, based on its year over year change. It’s the fourth time Python earned the honor, a record.

Like some other organizations that produce software popularity lists, TIOBE ranks software based on the number of searches conducted monthly. The January PYPL list on GitHub has Python in the top position again. Also unchanged from the year before are Java (2), JavaScript (3), C#(4) and, moving up is C/C++ (5).

TIOBE Programming Language 2021 - blog.jpg

Over the summer, when the IEEE’s Spectrum it issued its top languages list, Python too, was at the top. Java, C, C++ and JavaScript followed in descending order. What’s especially useful about the IEEE’s list is its interactivity. Besides seeing how the organization ranked languages, a user can choose to rank them by the language most requested in CareerBuilder job ads or by what languages are trending or in several other ways.

Though the ranking of a specific language may go up and down, the eight TechRepublic selected, and a handful of others like PHP and Visual Basic have dominated the top of popularity lists for years.

“According to TIOBE’s list,” says TechRepublic, “C, Java, C++ and Python have been the most popular languages since 2002. C#, Visual Basic and JavaScript have also battled for top spots.”

As Benjamin Goldberg, an associate computer science professor at New York University told TechRepublic, “There are a number of different ways to measure popularity, such as the languages that are used for programs that run in the largest number of devices, the languages in which the most programs are written, the languages in which the most lines of code are written.”

What’s the most enduringly popular languages?

“In terms of the language that is used for programs on the largest number of devices, certainly it’s JavaScript,” Goldberg says. Counting its use on webpages, “By a substantial margin, JavaScript is used to write the largest number of programs.”

Photo by Chris Ried on Unsplash

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