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12 Certainties That Will Transform Every Career and Create New Ones
By providing an accurate roadmap for anyone from CEO to sales superstar to auto mechanic who wishes to increase their personal career relevancy in a world of transformative change, you now have a new tool you can use to make career and education decisions with confidence.
As technology continues to impact our lives, workers in today’s ever-changing labor market need to be prepared with skills to adapt and succeed in the workplace. Job opportunities in technology are growing up to three times faster than other career fields in the U.S. Long gone are the days of a linear education and career trajectory as technology continues to reshape the world’s education and workplace landscapes. Nowadays, the career paths of most individuals resemble a scaffold rather than a conservative straight line.
Changes in the education and workplace landscape not only impact job seekers, but educators and employers as well. It’s estimated that by 2025, we could have 20 million jobs without enough qualified people to fill them.
Before you start thinking that there will be no jobs for humans to do in the near future, first realize that technology has always eliminated jobs. What we’re experiencing now is nothing new. Even in the 18th and 19th centuries, new advancements in everything from textiles to railroads to mail delivery to manufacturing caused jobs to disappear. The difference is that the change used to be slow. It took a long time for those jobs to disappear, so there was time to adapt.
But today, thanks to the three change accelerators of exponential advances in processing power, bandwidth, and storage, we are experiencing rapid change—or rather, transformation. Because processing power is creating a digital explosion in our tools’ ability to do more with less at a faster rate, and bandwidth is increasing exponentially, and storage is moving to the cloud, over the next five short years we will be transforming how we sell, market, communicate, collaborate, innovate, train, and educate. As a result, we are going to see many jobs disappear, yet at the same time, many current job definitions redefined as technology gives us new and more efficient ways to do our old jobs.
The key is to get ahead of the curve. One way to get ahead of the curve is to ask yourself, “Do I do a repetitive task?” Obviously, advanced automation and robotics is going to take those jobs over quickly, if they haven’t already. Similarly, do you have a well-defined procedure that you do every day, or do you have rule-based skills? Intelligent systems are going to be able to do those procedures for you.
Here are a few important questions that will help you get ahead of the career curve. Ask yourself, “What knowledge and skills can I learn that will supplement my current strengths so that I can thrive in the years ahead? What are the new areas of learning that will make me more relevant in a world of rapid change?”
It’s time to ask new and better questions, because we used to have a lot of time—in some cases, a lifetime—to prepare for job and career changes. Today the timeframe to prepare for change is extremely short.
The problem is, we live in an uncertain world, and because of the high levels of uncertainty we all face, people of all ages and career levels are finding it difficult to know what new skills to learn, what courses to take, and what degrees to get that will provide them with the most opportunity going forward. Uncertainty keeps us stuck in the present.
Certainty, on the other hand, gives us the confidence to make a decision, to move forward, to invest time and money to learn new things. Over the past thirty years, I have developed and proven the power of the science of certainty. The science of certainty involves a scientific method of separating Hard Trends – trends that will happen – from Soft Trends – trends that might happen. This method is currently being used by many Fortune 500 companies including IBM, Deloitte, and Pratt & Whitney to name a few, to provide an accurate roadmap of the opportunities that are ahead.
That’s why I’m launching a list of 12 Certainties that will transform every career, and create new ones. By providing an accurate roadmap for anyone from CEO to sales superstar to auto mechanic who wishes to increase their personal career relevancy in a world of transformative change, you now have a new tool you can use to make career and education decisions with confidence. The list highlights technologies that are here now, and will continue to transform present and future careers. As you read through the list, ask yourself how each one will play a key role in your industry and your personal career path.
1. Mobile Hardware, Software and Services will continue to rapidly evolve creating many new careers, as all phones become smartphones and our primary computer and tablets continue to evolve as our laptop replacement. This new level of mobility will allow any size business to transform how they market, sell, communicate, collaborate, educate, train, and innovate.
2. Remote Visual Communications will become a primary relationship-building tool for businesses of all sizes as employees use smartphones, tablets, and laptops, in combination with current video conferencing systems, to communicate at new levels with customers, partners, and employees.
3. Social Business Enterprise Management will grow rapidly as organizations shift from an Information Age “informing” model to a Communication Age “communicating and engaging” model. New careers will emerge as Social Software for business rapidly grows with applications to enhance relationships, collaboration, networking, social validation, and more. Social Search will increasingly shape careers as marketers, researchers and those on Wall Street create applications and services to tap into millions of daily tweets and Facebook conversations, providing real-time analysis of many key consumer metrics.
4. Cyber Security and Forensics careers will grow rapidly as we become increasingly connected and dependent on computer systems and machines using intelligent sensors connected to just about everything. Careers in data and information forensics will grow rapidly as the need to solve cyber crimes increases.
5. Additive Manufacturing (3D Printing) will create many new careers in manufacturing as this revolutionary technology allows any size company to manufacture quickly, locally and with far fewer costs. Additive manufacturing builds things by depositing material, typically plastic or metal, layer by layer until the final product is finished. Examples of final products today include jewelry, iPhone cases, shoes, car dashboards, parts for jet engines, prosthetic limbs and much more.
6. Gamification of Education will create many new careers as corporations and educational institutions at all levels accelerate learning by using advanced simulations and skill-based learning systems that are self-diagnostic, interactive, game-like, and competitive, all focused on giving the user an immersive experience thanks to a photo-realistic 3D interface.
7. Cloud Services and Virtualization will be increasingly embraced by businesses of all sizes, as this represents a major shift in how organizations obtain and maintain software, hardware, and computing capacity. IT is rapidly becoming an on-demand service that is rapidly transforming all business processes resulting in a rapid evolution of current careers as well as creating new careers in every functional area.
8. Big Data and Real-Time Analytics describe the technologies and techniques used to capture and utilize the exponentially increasing streams of data with the goal of bringing enterprise-wide visibility and insights to make rapid critical decisions. This new level of data integration and analytics will require many new skills and cross-functional training in order to take advantage of new opportunities as well as breakdown the many data and organizational silos that still exist.
9. Intelligent ePersonal Assistants using natural language voice commands was launched with Apple’s Siri, which was rapidly followed by Google, Microsoft, and others all offering what will become a mobile electronic concierge on your phone, tablet, and television. The technology will rapidly evolve and soon every profession from retailers to maintenance workers will have a Siri-like assistant. Adding an e-personal assistant to support an existing product and/or service will create many new careers.
10. 3D Web will transform today’s Internet experience (which is like looking at a flat piece of paper with a few photos, embedded video, and a few hyperlinks) to a true 3D experience, similar to todays video games, where you can virtually walk into a showroom, look around and both listen to and see the new car you are interested in, or whatever the website is trying to show you. This will employ many new graphic artists, designers and programmers.
11. Connected Intelligent Objects using chips, microsensors and both wired and wireless networks will create a rapidly growing “Internet of things” sharing real-time data, performing diagnostics, and making remote repairs. Many jobs will be created as we add intelligent connected sensors to bridges, roads, buildings, homes and much more. By 2020, there will be well over a billion machines talking to each other and people will install them.
12. Advanced Robotics and Automation will take a giant leap forward thanks to networked sensors, artificial intelligence, and Siri-like voice communications, taking the next level of repetitive jobs from humans. This will create many new career opportunities from design, programming, and installation to service and maintenance, to name just a few.
You don’t have to know the physics of a telephone in order to use it. You do have to know it exists and how to creatively use it to accomplish your goal. Don’t wait until next year, or the year after, or until you’re laid off. Invest the time to identify what you need to learn right away so that you will thrive both now and in the future, either in your current career or a new one.
 STEM: Good Jobs Now and for the Future http://www.esa.doc.gov/
 The Undereducated American, Georgetown University http://cew.georgetown.edu/undereducated/
The father of all giant sea bugs was recently discovered off the coast of Java.
- A new species of isopod with a resemblance to a certain Sith lord was just discovered.
- It is the first known giant isopod from the Indian Ocean.
- The finding extends the list of giant isopods even further.
Humanity knows surprisingly little about the ocean depths. An often-repeated bit of evidence for this is the fact that humanity has done a better job mapping the surface of Mars than the bottom of the sea. The creatures we find lurking in the watery abyss often surprise even the most dedicated researchers with their unique features and bizarre behavior.
A recent expedition off the coast of Java discovered a new isopod species remarkable for its size and resemblance to Darth Vader.
The ocean depths are home to many creatures that some consider to be unnatural.
According to LiveScience, the Bathynomus genus is sometimes referred to as "Darth Vader of the Seas" because the crustaceans are shaped like the character's menacing helmet. Deemed Bathynomus raksasa ("raksasa" meaning "giant" in Indonesian), this cockroach-like creature can grow to over 30 cm (12 inches). It is one of several known species of giant ocean-going isopod. Like the other members of its order, it has compound eyes, seven body segments, two pairs of antennae, and four sets of jaws.
The incredible size of this species is likely a result of deep-sea gigantism. This is the tendency for creatures that inhabit deeper parts of the ocean to be much larger than closely related species that live in shallower waters. B. raksasa appears to make its home between 950 and 1,260 meters (3,117 and 4,134 ft) below sea level.
Perhaps fittingly for a creature so creepy looking, that is the lower sections of what is commonly called The Twilight Zone, named for the lack of light available at such depths.
It isn't the only giant isopod, far from it. Other species of ocean-going isopod can get up to 50 cm long (20 inches) and also look like they came out of a nightmare. These are the unusual ones, though. Most of the time, isopods stay at much more reasonable sizes.
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During an expedition, there are some animals which you find unexpectedly, while there are others that you hope to find. One of the animal that we hoped to find was a deep sea cockroach affectionately known as Darth Vader Isopod. The staff on our expedition team could not contain their excitement when they finally saw one, holding it triumphantly in the air! #SJADES2018
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What benefit does this find have for science? And is it as evil as it looks?
The discovery of a new species is always a cause for celebration in zoology. That this is the discovery of an animal that inhabits the deeps of the sea, one of the least explored areas humans can get to, is the icing on the cake.
Helen Wong of the National University of Singapore, who co-authored the species' description, explained the importance of the discovery:
"The identification of this new species is an indication of just how little we know about the oceans. There is certainly more for us to explore in terms of biodiversity in the deep sea of our region."
The animal's visual similarity to Darth Vader is a result of its compound eyes and the curious shape of its head. However, given the location of its discovery, the bottom of the remote seas, it may be associated with all manner of horrifically evil Elder Things and Great Old Ones.
If computers can beat us at chess, maybe they could beat us at math, too.
- Most everyone fears that they will be replaced by robots or AI someday.
- A field like mathematics, which is governed solely by rules that computers thrive on, seems to be ripe for a robot revolution.
- AI may not replace mathematicians but will instead help us ask better questions.
The following is an excerpt adapted from the book Shape. It is reprinted with permission of the author.
Will machines replace us? Since the origin of artificial intelligence (AI), people have worried that computers eventually (or even imminently!) will surpass the human cognitive capacity in every respect.
Artificial intelligence pioneer Oliver Selfridge, in a television interview from the early 1960s, said, "I am convinced that machines can and will think in our lifetime" — though with the proviso, "I don't think my daughter will ever marry a computer." (Apparently, there is no technical advance so abstract that people can't feel sexual anxiety about it.)
Let's make the relevant question more personal: will machines replace me? I'm a mathematician; my profession is often seen from the outside as a very complicated but ultimately purely mechanical game played with fixed rules, like checkers, chess, or Go. These are activities in which machines have already demonstrated superhuman ability.
Some people imagine a world where computers give us all the answers. I dream bigger. I want them to ask good questions.
But for me, math is different: it is a creative pursuit that calls on our intuition as much as our ability to compute. (To be fair, chess players probably feel the same way.) Henri Poincaré, the mathematician who re-envisioned the whole subject of geometry at the beginning of the 20th century, insisted it would be hopeless
"to attempt to replace the mathematician's free initiative by a mechanical process of any kind. In order to obtain a result having any real value, it is not enough to grind out calculations, or to have a machine for putting things in order: it is not order only, but unexpected order, that has a value. A machine can take hold of the bare fact, but the soul of the fact will always escape it."
But machines can make deep changes in mathematical practice without shouldering humans aside. Peter Scholze, winner of a 2018 Fields Medal (sometimes called the "Nobel Prize of math") is deeply involved in an ambitious program at the frontiers of algebra and geometry called "condensed mathematics" — and no, there is no chance that I'm going to try to explain what that is in this space.
Meet AI, your new research assistant
What I am going to tell you is the result of what Scholze called the "Liquid Tensor Experiment." A community called Lean, started by Leonardo de Moura of Microsoft Research and now open-source and worldwide, has the ambitious goal of developing a computer language with the expressive capacity to capture the entirety of contemporary mathematics. A proposed proof of a new theorem, formalized by translation into this language, could be checked for correctness automatically, rather than staking its reputation on fallible human referees.
Scholze asked last December whether the ideas of condensed mathematics could be formalized in this way. He also wanted to know whether it could express the ideas of a particularly knotty proof that was crucial to the project — a proof that he was pretty sure was right.
When I first heard about Lean, I thought it would probably work well for some easy problems and theorems. I underestimated it. So did Scholze. In a May 2021 blog post, he writes, "[T]he Experiment has verified the entire part of the argument that I was unsure about. I find it absolutely insane that interactive proof assistants are now at the level that within a very reasonable time span they can formally verify difficult original research."
And the contribution of the machine wasn't just to certify that Scholze was right to think his proof was sound; he reports that the work of putting the proof in a form that a machine could read improved his own human understanding of the argument!
The Liquid Tensor Experiment points to a future where machines, rather than replacing human mathematicians, become our indispensable partners. Whether or not they can take hold of the soul of the fact, they can extend our grasp as we reach for the soul.
Slicing up a knotty problem
That can take the form of "proof assistance," as it did for Scholze, or it can go deeper. In 2018, Lisa Piccirillo, then a PhD student at the University of Texas, solved a long-standing geometry problem about a shape called the Conway knot. She proved the knot was "non-slice" — this is a fact about what the knot looks like from the perspective of four-dimensional beings. (Did you get that? Probably not, but it doesn't matter.) The point is this was a famously difficult problem.
A few years before Piccirillo's breakthrough, a topologist named Mark Hughes at Brigham Young had tried to get a neural network to make good guesses about which knots were slice. He gave it a long list of knots where the answer was known, just as an image-processing neural net would be given a long list of pictures of cats and pictures of non-cats.
Hughes's neural net learned to assign a number to every knot; if the knot were slice, the number was supposed to be 0, while if the knot were non-slice, the net was supposed to return a whole number bigger than 0. In fact, the neural net predicted a value very close to 1 — that is, it predicted the knot was non-slice — for every one of the knots Hughes tested, except for one. That was the Conway knot.
For the Conway knot, Hughes's neural net returned a number very close to 1/2, its way of saying that it was deeply unsure whether to answer 0 or 1. This is fascinating! The neural net correctly identified the knot that posed a really hard and mathematically rich problem (in this case, reproducing an intuition that topologists already had).
Some people imagine a world where computers give us all the answers. I dream bigger. I want them to ask good questions.
Dr. Jordan Ellenberg is a professor of mathematics at the University of Wisconsin and a number theorist whose popular articles about mathematics have appeared in the New York Times, the Wall Street Journal, Wired, and Slate. His most recent book is Shape: The Hidden Geometry of Information, Biology, Strategy, Democracy, and Everything Else.
Laughing gas may be far more effective for some than antidepressants.
- Standard antidepressant medications don't work for many people who need them.
- With ketamine showing potential as an antidepressant, researchers investigate another anesthetic: nitrous oxide, commonly called "laughing gas."
- Researchers observe that just a light mixture of nitrous oxide for an hour alleviates depression symptoms for two weeks.
The usual antidepressants don't work for everyone. That's what makes a new study of the antidepressant properties of nitrous oxide so intriguing. It looks like just a single low dose of what your dentist may call "laughing gas" can help alleviate symptoms of depression for weeks afterward.
The study, from researchers at University of Chicago and Washington University-St. Louis, is published in the journal Science Translational Medicine.
Resistance to anti-depression medications
Nitrous oxide: two atoms of nitrogen, one of oxygenCredit: Big Think
According to the senior author of the study, Charles Conway, "A significant percentage — we think around 15 percent — of people who suffer from depression don't respond to standard antidepressant treatment."
"These 'treatment-resistant depression' patients," Conway says, "often suffer for years, even decades, with life-debilitating depression. We don't really know why standard treatments don't work for them, though we suspect that they may have different brain network disruptions than non-resistant depressed patients. Identifying novel treatments, such as nitrous oxide, that target alternative pathways is critical to treating these individuals."
"There is a huge unmet need," says lead author Peter Nagele. "There are millions of depressed patients who don't have good treatment options, especially those who are dealing with suicidality."
If ketamine can help, can nitrous oxide?
Credit: sudok1 / Adobe Stock
The researchers wondered if some of the anti-depression properties seen in ketamine might also apply to nitrous oxide. Nagele explains, "Like nitrous oxide, ketamine is an anesthetic, and there has been promising work using ketamine at a sub-anesthetic dose for treating depression."
The researchers conducted a one-hour session — they describe it as a "proof-of-principle" trial — in which 20 individuals with depression were administered an air mixture with 50 percent nitrous oxide. Twenty-four hours later, the researchers found a significant reduction in the participants' symptoms of depression versus a control group.
However, the individuals also suffered the unpleasant side effects that laughing gas often causes in dental patients: headache, nausea, and vomiting.
Smaller dose, longer effect
Credit: sudok1 / Adobe Stock
"We wondered if our past concentration of 50 percent had been too high," recalls Nagele. "Maybe by lowering the dose, we could find the 'Goldilocks spot' that would maximize clinical benefit and minimize negative side effects."
In a new trial, 20 people with depression were given a lighter nitrous oxide mix, just 25 percent, and the individuals tested reported a 75 percent reduction in side effects compared to the a control group given an air/oxygen placebo. This time, the researchers also tracked the effect of nitrous oxide on symptoms of depression for a far longer period, two weeks instead of just 24 hours.
"The reduction in side effects was unexpected and quite drastic," reports Nagele, "but even more excitingly, the effects after a single administration lasted for a whole two weeks. This has never been shown before. It's a very cool finding."
Nagele also notes that, despite its popular renown as laughing gas, even a light 25 percent mix of nitrous actually causes people to nod off. "They're not getting high or euphoric; they get sedated."
Delivering help to people with depression
Nagele cautions, "These have just been pilot studies. But we need acceptance by the larger medical community for this to become a treatment that's actually available to patients in the real world. Most psychiatrists are not familiar with nitrous oxide or how to administer it, so we'll have to show the community how to deliver this treatment safely and effectively. I think there will be a lot of interest in getting this into clinical practice."
After all, Nagele adds, "If we develop effective, rapid treatments that can really help someone navigate their suicidal thinking and come out on the other side — that's a very gratifying line of research."