1 Artificial Intelligence AI and Machine Learning
1. Artificial Intelligence (AI) and Machine Learning
Artificial Intelligence, or AI, has already received a lot of buzz in the pastdecade, but it continues to be one of the new technology trends because itsnotable effects on how we live, work and play are only in the early stages. AIis already known for its superiority in image and speech recognition,navigation apps, smartphone personal assistants, ride-sharing apps and so muchmore.Other than that AI will be used further to analyze interactions to determineunderlying connections and insights, to help predict demand for services likehospitals enabling authorities to make better decisions about resourceutilization, and to detect the changing patterns of customer behaviour byanalyzing data in near real-time, driving revenues and enhancing personalizedexperiences.The AI market will grow to a $190 billion industry by 2025 with globalspending on cognitive and AI systems reaching over $57 billion in 2021. Â WithAI spreading its wings across sectors, new jobs will be created indevelopment, programming, testing, support and maintenance, to name a few. Onthe other hand AI also offers some of the highest salaries today ranging fromover $1,25,000 per year (machine learning engineer) to $145,000 per year (AIarchitect) – making it the top new technology trend you must watch out for!Machine Learning the subset of AI, is also being deployed in all kinds ofindustries, creating a huge demand for skilled professionals. Forresterpredicts AI, machine learning, and automation will create 9 percent of newU.S. jobs by 2025, jobs including robot monitoring professionals, datascientists, automation specialists, and content curators, making it anothernew technology trend you must keep in mind too!
3. Edge Computing
Formerly a new technology trend to watch, cloud computing has becomemainstream, with major players AWS (Amazon Web Services), Microsoft Azure andGoogle Cloud Platform dominating the market. The adoption of cloud computingis still growing, as more and more businesses migrate to a cloud solution. Butitâs no longer the emerging technology trend. Edge is.As the quantity of data organizations are dealing with continues to increase,they have realized the shortcomings of cloud computing in some situations.Edge computing is designed to help solve some of those problems as a way tobypass the latency caused by cloud computing and getting data to a datacenterfor processing. It can exist âon the edge,â if you will, closer to wherecomputing needs to happen. For this reason, edge computing can be used toprocess time-sensitive data in remote locations with limited or noconnectivity to a centralized location. In those situations, edge computingcan act like mini datacenters.ÂEdge computing will increase as use of the Internet of Things (IoT) devicesincreases. By 2022, the global edge computing market is expected to reach$6.72 billion. And this new technology trend is only meant to grow and nothingless, creating various jobs, primarily for software engineers.
4. Quantum Computing
Next remarkable technology trend is quantum computing, which is a form ofcomputing that takes advantage of quantum phenomena like superposition andquantum entanglement. This amazing technology trend is also involved inpreventing the spread of the coronavirus, and to develop potential vaccines,thanks to its ability to easily query, monitor, analyze and act on data,regardless of the source. Another field where quantum computing is findingapplications in banking and finance, to manage credit risk, for high-frequencytrading and fraud detection.Quantum computers are now a multitude times faster than regular computers andhuge brands like Splunk, Honeywell, Microsoft, AWS, Google and many others arenow involved in making innovations in the field of Quantum Computing. Therevenues for the global quantum computing market are projected to surpass $2.5billion by 2029. And to make a mark in this new trending technology, you needto have experience with quantum mechanics, linear algebra, probability,information theory, and machine learning.
5. Virtual Reality and Augmented Reality
The next exceptional technology trend – Virtual Reality (VR) and AugmentedReality (AR), and Extended Reality (ER). VR immerses the user in anenvironment while AR enhances their environment. Although this technologytrend has primarily been used for gaming thus far, it has also been used fortraining, as with VirtualShip, a simulation software used to train U.S. Navy,Army and Coast Guard ship captains.In 2021, we can expect these forms of technologies being further integratedinto our lives. Usually working in tandem with some of the other newtechnologies weâve mentioned in this list, AR and VR have enormous potentialin training, entertainment, education, marketing, and even rehabilitationafter an injury. Either could be used to train doctors to do surgery, offermuseum-goers a deeper experience, enhance theme parks, or even enhancemarketing, as with this Pepsi Max bus shelter.Fun fact: 14 million AR and VR devices were sold in 2019. The global AR and VRmarket is expected to grow to $209.2 billion by 2022, only creating moreopportunities in the trending technology, and welcoming more professionalsready for this game-changing field.ÂWhile some employers might look for optics as a skill-set, note that gettingstarted in VR doesnât require a lot of specialized knowledge – basicprogramming skills and a forward-thinking mindset can land a job; anotherreason why this new technology trend should make up to your list of lookouts!
7. Internet of Things (IoT)
Another promising new technology trend is IoT. Many âthingsâ are now beingbuilt with WiFi connectivity, meaning they can be connected to theInternetâand to each other. Hence, the Internet of Things, or IoT. TheInternet of Things is the future, and has already enabled devices, homeappliances, cars and much more to be connected to and exchange data over theInternet.As consumers, weâre already using and benefitting from IoT. We can lock ourdoors remotely if we forget to when we leave for work and preheat our ovens onour way home from work, all while tracking our fitness on our Fitbits.However, businesses also have much to gain now and in the near future. The IoTcan enable better safety, efficiency and decision-making for businesses asdata is collected and analyzed. It can enable predictive maintenance, speed upmedical care, improve customer service, and offer benefits we havenât evenimagined yet.And weâre only in the beginning stages of this new technology trend:Forecasts suggest that by 2030 around 50 billion of these IoT devices will bein use around the world, creating a massive web of interconnected devicesspanning everything from smartphones to kitchen appliances. The globalspending on the Internet of Things (IoT) is forecast to reach 1.1 trillionU.S. dollars in 2022. New technologies such as 5G is expected to drive marketgrowth in the coming years.And if you wish to step foot in this trending technology, you will have tolearn about Information security, AI and machine learning fundamentals,networking, hardware interfacing, data analytics, automation, understanding ofembedded systems, and must have device and design knowledge.
9 New Technology Trends and 1 Solution to Succeed in Them
Although technologies are emerging and evolving all around us, these top 9 newtechnology trends offer promising career potential now and for the foreseeablefuture. And most of these trending technologies are welcoming skilledprofessionals, meaning the time is right for you to choose one, get trained,and get on board at the early stages of these trending technologies,positioning you for success now and in the future.Top 9 Freelance Tech Skills in DemandThe future is freelance tech skills, and it is now. The tech of the internethas enabled us to work from wherever we please, which has boosted the gigeconomy. The rise of tech has also created a huge demand for various techskills. As a result, the freelance market is booming at an unprecedented rate.The demand for freelance tech skills is rising, but not as fast as supply.This kind of climate entices freelancers to go an extra mile in order toacquire hot skills and separate themselves from the competition. Indeed,studies have shown that they are twice as more likely to reskill on their ownwhen compared to traditional employees.As a freelancer today, you would naturally wonder into which tech skills youshould invest your limited time, energy, and money. Here are some of theessential ones that will empower you to get ahead of the pack.
1. Augmented Reality (AR)
The dazzling success of apps like Pokémon Go has demonstrated what AR iscapable of and that is just the beginning. It is going to gain traction inother sectors, such as home improvement and retail. Moreover, it willprofoundly affect professions like journalists, producers, and teachers.Finally, in the next few years, this trend will prompt a greater demand formobile app development that uses Mixed and Augmented Reality (MAR)technologies.
2. Mobile & App Development
Smartphone use is reaching ever new heights and the app market is expandingbeyond imagination. With the strong demand in place and average salaries closeto $100K, developers are certainly in a good position to build lucrativecareers. Those who stand to profit the most are seasoned pros fluent inmultiple programming languages, including Java, C++, Python, C, and Swift.One can also gain an edge in the gig market by honing UX and UI design skills.
3. Blockchain Technology
Spectacular twists and turns of the cryptocurrency market have pushed theblockchain technology right into the spotlight. What many are not aware of isthat this decentralized, public-ledger-based framework can be applied to muchmore than just Bitcoin transactions. Tech industry giants in the league of IBMare already experimenting with this tech and using it in new ways. Besides,Upwork has declared blockchain the fastest growing skill out of 5,000 otherskills.
7. Data Science
With such a strong push coming from surrounding sectors, business intelligenceis generating immense demand for data scientists. These tech wizards handle avariety of tasks, from priming raw data for analysis to visualizing it inorder to support business decision making. Superior mathematical andanalytical skills are paramount to career success and specialization is thename of the game. For the trouble of learning the ropes, you can be wellrewarded with an income of over $115k.
8. AI & Machine Learning
Industries are being hit by a new wave of straight-out-of-a-SF-movieinnovation, which is introducing the wider public to trends like chatbots,digital assistants, and self-driving cars. All these products are powered byAI and machine learning, which creates a wealth of opportunities for expertsin the field. This year, demand is expected to increase by a staggering 60%.And if you manage to land a position such as a machine learning engineer, youcan count on around $135K coming in every month.
How do AI algorithms become biased?
A few reminders about AI bias are worth mentioning. As highlighted in Survivalof the Best Fit, currently, the most popular branch of AI is machine learning,a type of software that develops its behavior based on experience rather thanexplicit rules.If you provide a machine learning algorithm with a thousand pictures of catsand a thousand pictures of dogs, it will be able to find the common patternsthat define each of those classes of images. This is called training. Aftertraining, when you run a new picture through the AI algorithm, it will be ableto tell you with a level of confidence to which of those classes it belongs.Here’s how things can get problematic though. Although the AI finds commonpatterns among similarly labeled images, it doesn’t mean that those patternsare the right ones. For example, a machine learning algorithm trained onimages of sheep might mistakenly start classifying images of grassy landscapeas “sheep,” because all its training images contained large expanses of grass,even larger than the sheep themselves.AI bias can crop up in various fields. In the recruiting domain, a machinelearning model trained on a bunch of job applicant CVs and their outcomes(hired or not hired) might end up developing its behavior on the wrongcorrelations, such as gender, race, area of residence or othercharacteristics. For instance, if you train your AI on CVs of white males wholive in New York, it might mistakenly think you’ve hired those people becauseof their gender or area of residence. It will then start rejecting applicantswith the right skills if they’re female or don’t live in New YorkIn October, Amazon shut down an AI recruiting tool because it was biasedagainst women. As in many other large tech companies, white male engineershave a larger share of Amazon’s technical and engineering workforce than otherdemographics. Therefore, it is natural that if the company trains its machinelearning algorithm on the CVs of current employees, the AI model will end upfavoring white male applicants, even if they’re less qualified.Most literary work on algorithmic bias is focused on discrimination againsthumans. But AI bias can happen on any correlation between training examples,such as lighting conditions, image compression algorithms, brands of devicesand other parameters that have no relation to the problem the machine learningalgorithm is supposed to solve.