This essay is not like other trend pieces, which only touch on the surface of what these developments may signify for society.
It appears that many publications have already discussed the anticipated technological advancements in 2023, such as the rise of Artificial Intelligence (AI), the proliferation of blockchain technology, the expansion of the 5G network, and the emergence of the Internet of Things (IoT). As such, it is understandable to feel that there is little need for yet another listicle about tech fads. However, it may be beneficial to investigate if any overlooked or overlooked aspects of these topics have been missed in existing publications.
Due to the potential for significant consequences associated with the latest technologies, we have decided to compile a comprehensive report on these trends. Although these technologies may become increasingly popular in the coming year, they will be unable to address every scenario. Consequently, it is important to analyze the full extent of what these technologies may bring to our society, which is why we have created this special report to explore the latest trends.
The current technological landscape is filled with exciting developments, and there are six in particular that have yet to make a significant impact on the headlines. It is true that these are all connected to other innovative technologies such as Artificial Intelligence, the Internet of Things and 5G, but each of these advancements bring their own unique features that are worth monitoring closely. It is clear that these technologies are set to revolutionise their respective industries, and the potential applications are sure to be far-reaching.
The Skillful Web
It was widely anticipated that the widespread use of the internet would connect people across the world, increasing access to education and fundamentally transforming the ways in which we communicate, shop and play. However, it appears that the internet has not met our expectations, despite causing significant changes.
It is evident that in 2023, we will witness a significant advancement in technological progress. One of the primary contributors to this progress is the concept of Skills-Based Networking Online (IoS). We have become familiar with terms such as the Internet of Things (IoT) and the Internet of Industrial Things (IoIT) as well as the Internet of Money (IoM) and the Internet of Energy (IoE). It begs the question: is it necessary to introduce yet another concept?
The Internet of Skills is as disruptive as the internet was in its early days, due to the fact that it enables the digitization of talents, enabling them to be shared from any part of the world. This means that it is now possible to exchange insights and information in a timely manner, regardless of geographical boundaries or time zones.
With regard to the IoS, there are two primary factors. The integration of robots and haptics is the starting point in our exploration of kinaesthetic communication. Through the introduction of pressures, vibrations, and movements, we can create the impression that the recipient is in physical contact with an object. This is achieved through a haptic response to a stimulus, allowing us to deceive the user into believing they are engaging with a tangible item, even when they are not.
On the other hand, By 2023, the fifth-generation (5G) mobile network is expected to be widely available, meaning that information can be transmitted quickly and reliably with minimal delays. This next-generation network, when combined with the advances of haptics and robotics, has the potential to significantly enhance our capabilities, insights and understanding.
The healthcare industry stands to benefit significantly from the development of the Internet of Things. In the not too distant future, it is feasible to imagine a situation where surgeons are able to carry out remote operations using a glove that transmits the exact movements to a robotic arm located on the other side of the globe. This would provide people from all corners of the world with access to highly advanced practices without the requirement of waiting for a doctor to be at their location.
It is of paramount importance that the motions and movements involved in a task be documented and stored in a database, enabling students to learn the correct procedures by committing them to memory through physical repetition.
Given that the Internet of Skills (IoS) facilitates two-way transmission of data, there is no need to take into account the physical distance between individuals. For instance, in order to park an autonomous vehicle which is not functioning properly, an individual may take the initiative to study the piano, repair a complicated mechanism, or even take the wheel themselves. In certain remote places, access to specific expertise or professionals with such expertise may not be available. In this case, the IoS can be beneficial by enabling anyone, regardless of their location, to gain knowledge of difficult topics via distance learning.
It is becoming increasingly common for businesses and organizations to use Artificial Intelligence (AI)-enabled data analysis tools. However, this technology is far from reaching its full potential. To date, AI systems have largely been used for descriptive analysis, which is a process of examining past events, trends and patterns in order to gain insight about the current situation.
The use of algorithms to make predictions based on past data is a promising application of Artificial Intelligence. Predictive Analysis is the name given to this type of research and many experts view it as the epitome of the potential benefits AI can offer to us. However, the potential advantages of prescriptive analysis are often overlooked. This type of analysis can help to improve decision-making capabilities, allowing us to make better-informed decisions in the future.
By employing this approach, we can use data for more than just forming educated guesses. Furthermore, it will provide us with insight into the reasons for the existence of certain circumstances and offer advice on how to respond in such scenarios.
It is possible that an illustration may be useful to help clarify the meaning further. Let us take, for example, an online shop which utilizes AI algorithms to analyze their customers’ behavior. This could be utilized to gain a better understanding of the customer base and their purchasing habits. For example, it may be discovered that the majority of customers are elderly men, who need to view the product page three times before committing to a purchase. Descriptive analysis is a powerful tool for obtaining such insights.
It is clear that the weekend is a key time for interacting with your consumers, and we can take this further by exploring the possible trends in customer behavior. For instance, have you noticed that business tends to improve on the first weekend of each month? This could mean that it is possible to use predictive analysis to anticipate the customer behavior and be prepared to make an offer on the weekend. By doing this, you might be able to maximize your business opportunities.
Conducting a prescriptive analysis would not provide information regarding the weekend plan in this instance. Furthermore, this phenomenon is likely due to the fact that the majority of the clientele are paid on Fridays, meaning they have limited online presence during the rest of the week.
A prescriptive analysis may recommend that you implement an advertising campaign that offers discounted prices on weekdays, with an increased focus on advertising those discounts on weekends, in order to improve your business. Alternatively, you could provide all customers who have made a purchase during the month with a concession on their final weekend of shopping.
Prescriptive algorithms can offer more than just a potential outcome, they can also provide knowledgeable suggestions based on the logic behind why that result exists. Although these systems are not yet fully evolved, companies are likely to invest heavily in this kind of complexity in 2023 in order to make decisions that benefit both them and their customers.
AI as a Service
As technology advances, so does the variety of services made available via cloud computing. This can range from the widely known Software as a Service (SaaS) and Platform as a Service (PaaS) to more specialized offerings, such as Housing as a Service (HaaS). This concept is becoming increasingly popular, with the emergence of an ‘Internet of Things’ and various other ‘Something as a Service’ models.
It is an obvious progression that cloud computing is now evolving to include Artificial Intelligence as a Service (AIaaS). This is essentially the same Software as a Service (SaaS) business model, but applied to AI services. The potential of Artificial Intelligence in business is undeniable, however the costs associated with creating AI-powered solutions can be prohibitive for some organisations. For this reason, some companies are considering the possibility of selling their AI services to those who do not have the resources to develop their own.
It is a fact that major technology companies such as Google, Amazon, Microsoft and IBM are already offering their Artificial Intelligence as a Service (AIaaS) solutions, mainly to large organizations. As a consequence of this increasing trend, companies of all sizes will be competing to join the Artificial Intelligence (AI) movement by 2023.
AI as a Service (AIaaS) provides businesses with a pre-packaged solution to their ever-growing requirement for artificial intelligence. This is a major advantage for companies that are interested in the advantages that AI can bring but are unwilling to invest in the expensive costs associated with constructing their own bespoke AI platform.
Therefore, outsourcing AI is analogous to purchasing an item at a grocery store: At Works, we understand that it is important to find a product that meets your requirements. However, this does not mean that those who are new to the industry cannot benefit from our solutions. Our products offer developers with straightforward application programming interfaces (APIs) and the ability to write code, as well as user interfaces (UIs) that are easy to use, all of which must be combined by engineers to achieve the desired outcome.
Your development team will be provided with access to the latest tools for voice recognition, rapid translation, data-driven analytics and image recognition. To make the proposition even more attractive, the service providers will allow you to use their platform to construct your own customized solution, at a significantly lower cost than starting from scratch.
Given that every business has unique needs, it is sensible for suppliers to provide the necessary raw materials, enabling you to assemble the final product. This is certainly a positive outcome, and the answer is yes. Artificial Intelligence (AI) is not a new concept; many businesses are already making use of AI as a Service (AIaaS) systems. By 2023, we will likely start to view these platforms in a different light, as a tool which can help us achieve our goals.
Virtual Replicas or “Digital Twins”
Despite the somewhat unsettling connotations of the term ‘digital twins’ being associated with the iconic twins from Stanley Kubrick’s ‘The Shining‘, this technology is actually highly beneficial and far less frightening than it initially appears. While a number of sectors, particularly the industrial sector, have been reaping the advantages of digital twins for almost two decades, it is predicted that more businesses will begin to incorporate this technology into their operations by 2023.
A digital twin is a digital replica of virtually anything or anyone. It can be a copy of an automobile, robot, factory, or even an individual employee. The concept of creating digital representations of physical items is to provide quick access to accurate data about them in the real world. This allows us to gain insight into how they function and how they can be improved.
In order to effectively manage the electronics of their spacecraft, NASA created digital copies which mirrored their original systems. As it would have been impossible for astronauts to monitor all activities taking place on board, NASA devised computer simulations which were virtually indistinguishable from the real thing. This allowed scientists and technicians to observe the progress of the spacecraft’s systems.
In recent times, the rise of the Internet of Things (IoT) has enabled digital twins to break free from their previously restricted environments. Technology specialists have become aware that the data being collected from the various sensors placed into devices can be utilized by digital twins to generate precise replicas of any given subject.
It was from this point that they first started creating symbols to represent objects such as aircraft engines, oil rigs, railways, and logistics computers. As the Internet of Things (IoT) continues to expand, so does the potential for digital twins. It is likely that 2023 will be a successful year for the IoT, especially if the 5G network is launched on a wide scale.
The importance of 5G technology cannot be overstated. Its high speed data transfer and low latency make it ideal for the development of digital twins, which are incredibly precise models or simulations of almost anything imaginable. This technology could be used to create digital replicas of wearable tech, self-driving cars, and even everyday commodities – the possibilities are endless. This could have far-reaching implications for businesses and other organizations, as well as for the wider commercial market.
The use of digital twins could enable businesses to detect patterns of usage, gain an understanding of their customers’ experiences with their product, and identify areas where performance could be improved. In addition, preventative maintenance measures can be implemented based upon this insight. Consequently, predictive analysis can be used to inform the design of future iterations and even entirely new products.
It is indeed accurate to state that the widespread introduction of 5G services is dependent upon the general acceptance of digital twins. Nevertheless, Gartner has forecasted that by 2023, there will be as many as 21 billion connected endpoints and sensors. This mammoth number of devices will accumulate the data necessary to usher in the subsequent age of digital twins, as well as support organizations in their attempts to develop and innovate through research and development.
Restructuring of Retailing
The retail sector is renowned for its willingness to explore new technological developments, often opting to wait and observe a trend before investing in it. However, over the past few years, it has become apparent that this reluctance to embrace radical change is becoming a thing of the past. This is due to the many transformations that the retail industry is undergoing, and it is expected that this trend will continue in the coming years with 2023 being no exception.
The usage of Augmented Reality (AR) and the increasing popularity of product customization, which provides a wealth of new shopping experiences, are set to become commonplace. However, the true revolutionary potential of new technology can be unlocked through imaginative implementation.
Have you ever been out and about, spotted a blouse you loved, but been unable to work out the cost or the brand? We’ve all been in this situation. But as technology advances, it won’t be a problem for much longer. Thanks to algorithms and artificial intelligence, it will soon be possible to search for the clothing across multiple online stores simply by taking a photo of it. You’ll even be able to make a purchase right on the spot! So, why wait until 2023? Stop by the shop tomorrow and take a look!
Pinterest Lens is currently offering this capability, and it can be expected to become even more popular as picture recognition technology progresses. It is also widely predicted that social commerce will have an immense impact on the retail sector by 2023.
In recent times, we have seen an increase in the number of organizations placing their faith in the potential of their current social media presence to enable customers to purchase goods and services from the convenience of their own home. The emergence of this trend makes perfect sense, considering the popularity of platforms such as Instagram with influencers, which can be utilized to increase organic reach and provide immediate gratification to their followers by allowing them to buy whatever they see. Therefore, social commerce could be a great way to achieve both publicity and convenience.
Finally, merchants should be aware of the way that these industry-disrupting mega corporations operate. It is clear that Amazon will continue to expand and become a popular choice for consumers who prefer to shop online. However, as has been demonstrated in the past, the company is likely to establish a benchmark which other e-commerce sites must strive to match.
The introduction of Google Shopping has been particularly captivating, as it has provided us with a new range of features that are sure to revolutionize the way we purchase items online. Google’s image search shopping and the creation of a single shopping cart, enabling us to buy from multiple stores and have the items delivered in one package, are two pioneering innovations set to make a major impact in the coming year.
It has been a captivating yet unnerving discovery – the use of deepfakes is a contentious subject. This is not unexpected, and if you have seen the video of Bill Hader impersonating Tom Cruise, you may be able to appreciate why this might pose a problem.
It is both astonishing and disconcerting to witness Bill Hader’s countenance being seamlessly transformed into Tom Cruise’s without any noticeable transition cuts or editing. This hilarious video was enabled by the same advanced technology which enables us to interchange one face for another, specifically machine learning methods such as autoencoders and generative adversarial networks (GANs).
It is fortunate that the potential for entertainment offered by these techniques is set to be realized in 2019. Generative Adversarial Networks (GANs) appear to be especially powerful and entertaining applications, and could be used to create filters in apps or to even substitute actors who are unable to complete their roles in films. This offers an exciting prospect for the entertainment industry.
As the technology behind deepfakes becomes more widely available, we are likely to see an increasing number of amusing applications emerge. This trend has been largely driven by the use of Generative Adversarial Networks (GANs), which is likely to continue in the future. However, what we should be mindful of is the potential implications of these seemingly harmless applications.
In recent months, there have been numerous passionate debates surrounding the topic of deepfakes, primarily focused on the use of such technology for the creation of adult videos and the fabrication of false news stories. Given the current atmosphere of online discourse, it is not difficult to foresee that such content will remain a presence on the internet. Ultimately, it will be those who take action that will make the most significant difference.
Whilst it is harmless to utilize deepfakes for the purpose of enhancing computer-generated imagery in films, the possibility of creating films that have been tampered with in order to present an individual in a negative light could have potentially dire repercussions. It is well known that some people are inclined to believe whatever they encounter on the internet, and if they have seen it for themselves, how could one explain it to them?
As a consequence, the most profound changes will take place in our comprehension of online content and in how we strive to diminish the adverse social consequences of this rising technology. California has already started implementing regulations with regard to this material, and in 2023, China will follow suit.
In the Future
It appears to be disingenuous to make assertions that Artificial Intelligence (AI), the Internet of Things (IoT) and 5G technology will remain major trends in 2023. It is far more captivating to consider how these technologies will facilitate the emergence of novel trends which could potentially have a meaningful impact on our daily lives.
By the end of 2023, it is highly likely that there will be tremendous growth and widespread recognition for the subject in question. Whilst it may not be widely talked about at the moment, it is worth bearing with us as this will become common knowledge within the next two years. Consequently, 2023 is set to be a momentous year for the subject, despite it not being the year of its origin.