Connect with us

Politics

The Biggest Ethical Concerns in the Future of AI – ReadWrite

Published

on

Nate Nead


Artificial intelligence (AI) is rapidly improving, becoming an embedded feature of almost any type of software platform you can imagine, and serving as the foundation for countless types of digital assistants. It’s used in everything from data analytics and pattern recognition to automation and speech replication. 

The potential of this technology has sparked imaginative minds for decades, inspiring science fiction authors, entrepreneurs, and everyone in between to speculate about what an AI-driven future could look like. But as we get nearer and nearer to a hypothetical technological singularity, there are some ethical concerns we need to keep in mind. 

Unemployment and Job Availability 

Up first is the problem of unemployment. AI certainly has the power to automate tasks that were once capable of completion only with manual human effort. 

At one extreme, experts argue that this could one day be devastating for our economy and human wellbeing; AI could become so advanced and so prevalent that it replaces the majority of human jobs. This would lead to record unemployment numbers, which could tank the economy and lead to widespread depression—and, subsequently, other problems like crime rates. 

At the other extreme, experts argue that AI will mostly change jobs that already exist; rather than replacing jobs, AI would enhance them, giving people an opportunity to improve their skillsets and advance. 

The ethical dilemma here largely rests with employers. If you could leverage AI to replace a human being, it would increase efficiency and reduce costs, while possibly improving safety as well, would you do it? Doing so seems like the logical move, but at scale, lots of businesses making these types of decisions could have dangerous consequences. 

Technology Access and Wealth Inequality

We also need to think about the accessibility of AI technology, and its potential effects on wealth inequality in the future. Currently, the entities with the most advanced AI tend to be big tech companies and wealthy individuals. Google, for example, leverages AI for its traditional business operations, including software development as well as experimental novelties—like beating the world’s best Go player. 

AI has the power to greatly improve productive capacity, innovation, and even creativity. Whoever has access to the most advanced AI will have an immense and ever-growing advantage over people with inferior access. Given that only the wealthiest people and most powerful companies will have access to the most powerful AI, this will almost certainly make the wealth and power gaps that already exist much stronger. 

But what’s the alternative? Should there be an authority to dole out access to AI? If so, who should make these decisions? The answer isn’t so simple. 

What It Means to Be Human

Using AI to modify human intelligence or change how humans interact would also require us to consider what it means to be human. If a human being demonstrates an intellectual feat with the help of an implanted AI chip, can we still consider it a human feat? If we heavily rely on AI interactions rather than human interactions for our daily needs, what kind of effect would it have on our mood and wellbeing? Should we change our approach to AI to avoid this? 

The Paperclip Maximizer and Other Problems of AI Being “Too Good”

One of the most familiar problems in AI is its potential to be “too good.” Essentially, this means the AI is incredibly powerful and designed to do a specific task, but its performance has unforeseen consequences. 

The thought experiment commonly cited to explore this idea is the “paperclip maximizer,” an AI designed to make paperclips as efficiently as possible. This machine’s only purpose is to make paperclips, so if left to its own devices, it may start making paperclips out of finite material resources, eventually exhausting the planet. And if you try to turn it off, it may stop you—since you’re getting in the way of its only function, making paperclips. The machine isn’t malevolent or even conscious, but capable of highly destructive actions. 

This dilemma is made even more complicated by the fact that most programmers won’t know the holes in their own programming until its too late. Currently, no regulatory body can dictate how AI must be programmed to avoid such catastrophes because the problem is, by definition, invisible. Should we continue pushing the limits of AI regardless? Or slow our momentum until we can better address this issue? 

Bias and Uneven Benefits 

As we use rudimentary forms of AI in our daily life, we’re becoming increasingly aware of the biases lurking within their coding. Conversational AI, facial recognition algorithms, and even search engines were largely designed by similar demographics, and therefore ignore the problems faced by other demographics. For example, facial recognition systems may be better at recognizing white faces than the faces of minority populations. 

Again, who is going to be responsible for solving this problem? A more diverse workforce of programmers could potentially counteract these effects, but is this a guarantee? And if so, how would you enforce such a policy? 

Privacy and Security 

Consumers are also growing increasingly concerned about their privacy and security when it comes to AI, and for good reason. Today’s tech consumers are getting used to having devices and software constantly involved in their lives; their smartphones, smart speakers, and other devices are always listening and gathering data on them. Every action you take on the web, from checking a social media app to searching for a product, is logged. 

On the surface, this may not seem like much of an issue. But if powerful AI is in the wrong hands, it could easily be exploited. A sufficiently motivated individual, company, or rogue hacker could leverage AI to learn about potential targets and attack them—or else use their information for nefarious purposes. 

The Evil Genius Problem 

Speaking of nefarious purposes, another ethical concern in the AI world is the “evil genius” problem. In other words, what controls can we put in place to prevent powerful AI from getting in the hands of an “evil genius,” and who should be responsible for those controls? 

This problem is similar to the problem with nuclear weapons. If even one “evil” person gets access to these technologies, they could do untold damage to the world. The best recommended solution for nuclear weapons has been disarmament, or limiting the number of weapons currently available, on all sides. But AI would be much more difficult to control—plus, we’d be missing out on all the potential benefits of AI by limiting its progression. 

AI Rights 

Science fiction authors like to imagine a world where AI is so complex that it’s practically indistinguishable from human intelligence. Experts debate whether this is possible, but let’s assume it is. Would it be in our best interests to treat this AI like a “true” form of intelligence? Would that mean it has the same rights as a human being? 

This opens the door to a large subset of ethical considerations. For example, it calls back to our question on “what it means to be human,” and forces us to consider whether shutting down a machine could someday qualify as murder. 

Of all the ethical considerations on this list, this is one of the most far-off. We’re nowhere near territory that could make AI seem like human-level intelligence. 

The Technological Singularity 

There’s also the prospect of the technological singularity—the point at which AI becomes so powerful that it surpasses human intelligence in every conceivable way, doing more than simply replacing some functions that have been traditionally very manual. When this happens, AI would conceivably be able to improve itself—and operate without human intervention. 

What would this mean for the future? Could we ever be confident that this machine will operate with humanity’s best interests in mind? Would the best course of action be avoiding this level of advancement at all costs? 

There isn’t a clear answer for any of these ethical dilemmas, which is why they remain such powerful and important dilemmas to consider. If we’re going to continue advancing technologically while remaining a safe, ethical, and productive culture, we need to take these concerns seriously as we continue making progress. 

Nate Nead

Nate Nead is the CEO & Managing Member of Nead, LLC, a consulting company that provides strategic advisory services across multiple disciplines including finance, marketing and software development. For over a decade Nate had provided strategic guidance on M&A, capital procurement, technology and marketing solutions for some of the most well-known online brands. He and his team advise Fortune 500 and SMB clients alike. The team is based in Seattle, Washington; El Paso, Texas and West Palm Beach, Florida.

Politics

Will AI dominate in 2021? A Big Question – ReadWrite

Published

on

Faraz Qureshi


In 2020, AI had rapid transformations and unexpected developments along with excellent innovations. We, as humans have entered into the most digitalized era of all times.

Due to the pandemic of coronavirus, technology has become the central focus like never before. Internet and social media witnessed a tremendous boost as well. No doubt but the COVID-19 brought about massive success to most technological fields.

Will AI dominate in 2021? A Big Question

With progressive developments and advanced modifications in technology, Artificial Intelligence needs no introduction. This groundbreaking technology has been so promising for the past several years and is moving at an advanced pace.

We are Captivated by Artificial Intelligence

Agreeing with the fact that the technologies are captivating us completely with their interesting innovations and gadgets. From Artificial intelligence to machine learning, IoT, big data, virtual and augmented reality, Blockchain, and 5G; everything seems to take over the world way too soon.

Keeping it to the topic of Artificial Intelligence, this technology has expanded its grip on our lives without even making us realize that fact. In the days of the pandemic, the IT experts kept working from home and the tech-grounds kept witnessing smart ideas and AI-driven innovations.

Artificial Intelligence is also the new normal.

Artificial Intelligence is going to be the center of our new normal and it will be driving the other nascent technologies to the point towards success. Soon, AI will be the genius core of automated and robotic operations.

In the blink of an eye, Artificial Intelligence can be seen adopted by companies so rapidly and is making its way into several sectors. 2020 has seen this deployment on a wider scale as the AI experts were working from home but the progress didn’t see a stop in the tech fields.

For the year 2021, Artificial Intelligence is expected to level up to a great extent and is going to deliver phenomenal AI implementation.

Artificial Intelligence in 2021

Even if we talk about the days before the pandemic, AI and ML were already causing drastic changes and widespread disruption in all sectors and industries. Now after the whole year that is passed in the quarantine, in 2021 — we are expecting everything to resume back to normal.

Artificial intelligence and related technologies are going to be the biggest key components that would be impacting almost every sector. Yes, this impact is definitely going to be highly positive so we don’t have to look at the darker side — yet.

With the passing of time, AI would become a key trend that will reshape our home, personal, and work life. This can be pretty alarming right away but soon you will find the advantages that AI will bring.

-The global artificial intelligence software market is estimated to grow speedily in the coming years and would reach up to $126 billion by 2025, a recent report reflected.

In this article, I will show you the impact of Artificial Intelligence on the whole world. With the below-written trends, you will be able to gain an insight into how Artificial Intelligence is reshaping every sector.

It is predicted that whoever leads artificial intelligence in 2030 will continue to rule the world in 2100.

Trends in Artificial Intelligence for 2021

Will AI dominate in 2021? It is the hottest topic and the biggest question running through everybody’s mind.

Hyperautomation:

Artificial Intelligence is going to bring a huge change in the industry and in almost all sectors. We are looking forward to seeing Hyperautomation in every field. This is basically the idea of embedding everything with the automated processes. The repetitive tasks must be done with automation.

AI-powered solutions will help businesses a lot over here and would help these businesses to be redefined. Intelligent technologies will also reshape workplaces with phenomenal capabilities.

AI-driven dynamic operating models:

Most industries are going to adopt Artificial Intelligence for data-driven strategies and to come up with smart technologies and solutions. Due to the pandemic, almost every business has witnessed a loss. Now, everybody is pretty clear that their future plans need to be smoothed out, via Artificial intelligence.

Also, Artificial intelligence is going to bring rapid changes in decision-making as well. Companies look forward to saving their time and cost both and this would be enabled by using the AI.

Autonomous operations for increased efficiency:

In almost every sector, management looks for options that can help the company to be efficient and more secure than ever. AI will bring a boost and the businesses will implement the technology to bring autonomous operations on the stage that will enhance efficiency and the processes will get simplified.

Multiple technologies will play a significant role and the AI will become the center of the activities. Taking care of all the operations and making them more simplified and enhanced, AI will play a vital plank.

AI Engineering:

The field of Artificial intelligence engineering is on the rise. People look forward to pursuing their career paths in the niche of AI to get a secure job future. CEOs and IT leaders of the company are looking forward to deploying new artificial intelligence systems that are maintained and more simplified.

AI is also becoming the core of education and we are going to witness a huge change in the education field knowing as the personalized learning in the form of ML or machine learning. Companies are also going to go for robust engineering strategies to enhance performance.

Convergence of AI into AIoT:

The AI and IoT are turning old concepts into the new concept of AIoT — and it’s on the rise. The internet of things and artificial intelligence are being combined to come up with a newer form of technology. Adding AI into the IoT would help the AIoT to complete the tasks and to learn the data without the involvement of humans.

AIoT will be a lot more defined and will dominate the tech industry. Up to 21% of homes will become smart homes in 2021. AIoT will also be able to adjust in the cities and buildings.

Edge AI:

Another amazing concept is brought about by Artificial intelligence and the technology of the internet of things. Edge-AI is the technology of moving the decision-making process seamlessly and the provision of secure and analyzed data is the responsibility of edge AI as well. This is the pure blend of edge computing and artificial intelligence.

With the help of edge-AI, the smart devices would use AI algorithms and edge computing to come up with the data processing. This will be deployed to every smart gadget and device including mobiles, laptops, drones, robots, self-driven cars, and cameras, etc.

The total cost of AI:

Earlier, it was considered as only the tech giants can use the AI technology but now the startups and the small software initiatives can also look out for the deployment of Artificial intelligence. It is now more accessible to all the companies and they can use the tools of their choice along with the frameworks.

The projects that are powered by AI and ML are expected to grow tremendously. The companies are looking forward to integrating AI into their systems and making their processes go seamless.

Explainable AI:

Explainable AI is going to be in the trend of 2021 and is going to dominate for sure. The explainable AI would help the data scientists to create trust across all the companies and the merchandise that are dealing with the AI and ML projects. The model explainability will also be kept in front of AI experts.

The biggest artificial intelligence vendor, Google, has also offered the development tools and frameworks revolving around the concept of explainable AI. We are looking forward to seeing some more interesting projects that are based on the explainable modules of AI.

Quantum computing on rise:

If we say AI is here to stay — then it would definitely not be wrong. As we can see that along with AI, quantum computing is also on the rise. Here AI will combine with the quantum theory that revolves around the concept of computer technology and its principles. Both the technologies together are going to bring drastic changes.

With the increased demand for computer science and technology, artificial intelligence and quantum computing are the most thriving technologies of the industry.

AI as the service:

The demand for AI is rapidly increasing. People are looking for the experts of AI and the professionals who can create custom AI projects so this is indirectly helping the artificial intelligence experts to rise in demand. These professionals are working to provide IT services as well.

Artificial intelligence will continue to thrive for a very long so if the students are going to opt for this career field, they are definitely going to land a bright future.

Parting Shot:

Artificial Intelligence will continue to dominate the world in 2021. It will soon take over every sector and industry and will continue to thrive.

Faraz Qureshi

Faraz Qureshi is one of the most eminent and exceptional content writers, who has been a part of the writing industry for quite some time now. He has also been associated with assignmentmaster.co.uk as a research analyst. He has the skills to mold the words that impress others immediately.

Continue Reading

Politics

How Do We Innovate in a World of Slowing Growth? – ReadWrite

Published

on

The Communication Pain Points for Remote Teams (and How to Solve Them) - ReadWrite


Millions of would-be startup entrepreneurs, software developers, and other innovators are struggling. They want to create new products, design new technologies, and introduce the world to new heights of productivity and wellbeing. But we’re entering an era of slowed technological growth – at least in some ways.

How Do We Innovate in a World of Slowing Growth?

Innovation is at the heart of any thriving economy. New technologies mean new companies, new jobs, and new opportunities for all existing companies – not to mention a higher quality of life for everyone involved (in most cases). But if our rate of innovation is unsustainable, where do we go from here?

Are We Really Slowing?

First, let’s explore the idea that innovation is slowing down – because it’s not a foregone conclusion. There are strong signs that innovation is slowing in some respects, but other experts have argued that many of these forms of deceleration are temporary.

For starters, productivity growth in the United States has been slowing consistently over the past few decades.

In the 1950s, American productivity was increasing by more than 3 percent each year. By the 1980s, that rate of increase had fallen to 2 percent, and today, the rate of increase is less than 1 percent annually.

What accounts for this slowing over the past few decades?

There are several potential factors. For starters, research-centric universities like MIT and Harvard were getting more funding and more attention. Major corporations like General Electric and Ford were investing heavily in R&D departments.

And technologies originally developed during World War II (often to fuel the war effort) were commercialized and distributed, with widespread access to them for the first time.

Some experts have suggested that the lack of innovation is a direct result of a lack of investment. If we invest more heavily in R&D in corporate departments and universities alike — we’d be able to see better results.

But this doesn’t necessarily stand to reason; our R&D spending is, collectively, many times higher than it’s ever been before. And yet, the productivity rate growth remains.

Is technological innovation to blame? How can that be?

Others suggest that this is the inevitable effect of technological innovation, which we would see in any society of intelligent beings. Major breakthroughs in technology function like low-hanging fruit; they’re relatively easy to brainstorm, and it’s only a matter of time before they get developed.

Once developed, breakthroughs increase our capacity and make other “low-hanging fruit” technologies easier to think up and develop. From the 1700s through the 1950s, we saw the development of technologies like the steam engine, running electricity, nuclear power, and of course, the internet.

What’s New in Tech?

But now that we’re here, the low-hanging fruit is no longer available. Scientists and researchers are spending all their efforts making our existing technology better – not necessarily coming up with something new.

We’re developing quantum computers as a kind of last area of research for computers, since we’re already pushing up against the boundaries of physics as we know it today.

We’re coming up on some hard limits of human knowledge.

Our model of physics is relatively unchanged since the 1980s. We haven’t made many major advancements in fields like chemistry for decades. And Moore’s Law, which once practically dictated the pace of improvement for transistors — is at its end.

Are we on a tech plateau?

That said, there are some arguments that we’re merely on a temporary plateau. The idea is that, sooner or later, new technology will come along to help us ascend to new heights, opening the door to other technological developments. For example, next-generation artificial intelligence (AI) could make it possible to solve problems that are currently unthinkably hard to address.

What about rates of productivity growth?

There’s also the argument that slowing rates of productivity growth are actually because of innovation, not due to a lack of it. When innovation happens quickly or occurs in an unexpected direction, it can disrupt the economy in such a way that interferes with GDP growth.

For example, when the internet began to encroach on the territory of newspaper companies, it shrunk the profitability of an entire industry.

Directions for Innovation

So how do we continue to innovate in an era with slowing growth?

There are a handful of important possibilities to note:

  • “First principles” thinking. One of the most important avenues for progression is going to be “first principles” thinking. In other words, we need to return to the ground level and rethink some of our longest-standing assumptions. When it comes to innovation, we tend to upgrade various components of an existing system or machine. For example, cars haven’t fundamentally changed in many decades; every component of modern cars is superior, in some way, to older variants, but we’re still working with an engine and four wheels. First principles thinking would encourage us to start from scratch, reimagining what a “car” is from the ground up and challenging our previous assumptions.
  • Lateral expansion. We could also attempt to innovate and expand laterally. Admittedly, this doesn’t qualify as “innovation” in the purest sense. Rather than inventing something totally new, you’ll be entering new, previously unexplored territory. That could be something as simple as reaching a new target audience with your digital advertising strategy, or as complex as introducing a new industry to a developing country that currently lacks it. Existing technology is highly advanced, but not all people of the world can access it equally. New audience targeting, geographic expansion, and cost cutting can all help us progress in this area.
  • Combination and repackaging. In the past decade, most of our best “innovations” have been novel ways of combining and repackaging other existing technologies. For example, the pinnacle of modern technology is, in many ways, the smartphone. But even Apple’s first-generation iPhone didn’t introduce many new features; calling, texting, emailing, and browsing the internet were all already in existence. They just weren’t packaged together conveniently. Since then, we’ve seen many new phone models, but the upgrades are relatively minor, such as more detailed cameras and slightly faster processors.

Supporting Further Innovation

Innovation doesn’t typically happen in a vacuum. It most often happens in dense teams, with strong leaders, and the backing of tons of interested investors and supportive partners. In other words, our best innovators need support.

So how do we, collectively, support further innovation and growth?

  • Investment. One straightforward method is to pour mor money into research and development. With more investment, scientists, inventors, and developers can do more. Of course, there are some limitations here; our R&D spending is higher than ever, yet it’s not giving us a steady conveyor belt of new technologies.
  • Risk. Culturally, we need to embrace risk and rethinking long-standing structures and systems. It’s a risky move to rethink our concept of a car from the ground up, especially if you’re starting a brand new company to do it.
  • Public recognition. We also need to recognize that innovation is slowing and behave accordingly, as consumers. The most recent iPhone isn’t substantially different than the previous generation; perhaps we can throw our enthusiasm behind more novel, innovative presentations.
  • Political theories. It’s also worth noting that people from different political backgrounds have different ideas for tackling this issue. For example, some could suggest the best solution is to foster a truly free, capitalistic market that naturally encourages entrepreneurs. Others may believe that more government control and investing could develop ideas that a free market may not support.

Toward the Next Generation of Technology

The human thirst for innovation and growth is unquenchable, so if we’re currently in the middle of a technological slowdown, the optimistic view is that this is only temporary. We’ll continue making iterative progress in areas that can continue progressing and eventually stumble upon a major breakthrough that forces us to reconsider everything we used to know.

However, if we’re going to find that new technological breakthrough, and support a healthy economy while we wait for its arrival — it’s important that we recognize this slowdown and foster innovation in any way we can.

Productivity increases may have slowed, but they’re still increasing – and that should give us plenty of momentum to keep growing for decades to come.

Image Credit: susanne jutzeler; pexels – thank you

Timothy Carter

Chief Revenue Officer

Timothy Carter is the Chief Revenue Officer of the Seattle digital marketing agency SEO.co, DEV.co & PPC.co. He has spent more than 20 years in the world of SEO and digital marketing leading, building and scaling sales operations, helping companies increase revenue efficiency and drive growth from websites and sales teams. When he’s not working, Tim enjoys playing a few rounds of disc golf, running, and spending time with his wife and family on the beach…preferably in Hawaii with a cup of Kona coffee.

Continue Reading

Politics

B2B Growth in the Light of Digital and 5G Era – Middle East Market – ReadWrite %

Published

on

telecommunication in MENA


The telecommunication industry in the Middle East and North Africa (MENA) region grew moderately between 2010 and 2014. Increased revenues resulted in a 1.2% compound annual growth rate (CAGR) in 2014. The market flourished even when compared to the American and European telecom industries.

B2B Growth in the Light of Digital and 5G Era

Notably, most operators have invested in mainly the fiber and mobile markets (4G and 5G). The industry’s revenue is anticipated at 1.7% CAGR, which amounts to $7.1 billion. This rapid growth can be ensured by deploying innovative digital transformation and technologies.

The Telecommunication Industry in MENA Region

MENA Telecommunication market growth in B2B, especially in the context of their ongoing Digital Transformation and the preparation of 5G network and new services deployments.

 

The Telecommunication Industry in MENA Region Image Credit: pixabay; pexels

The MENA Market Trends and Forecasting

By 2025’s end, the MENA region will mark its stellar achievements in the telecom sector. This will be done with digital revolutions and the integration of new technologies and services—the data provided below spells out the telecom industry’s potential milestones by 2025.

Mobile Subscribers

There were 375 million mobile users in the MENA region in 2017. This amounts to 64% of the total population. It is projected to increase to 69% (459 million unique mobile subscribers) by 2025.

Mobile Operator Revenues

The revenue generated from mobile users was $68 billion in 2017. Trends and forecasts show that this will become $78 billion by 2025. The operator capital expenditure (CAPEX) from 2018-2020 is $34 billion.

Smartphones Connections

In 2017, smartphone connections were 49%. This percentage will be 74% by 2025’s end.

Telecom Market in the Digital Transformation Era

  1. Evolving Core Telecom Market

  • A great demand for data.
  • The decline of voice revenue due to the high demand for over-the-top media services.
  • A challenging regulatory environment.
  1. Growth in digital services

  • Growth in B2B (Business to Business) services such as IoT, cloud, cybersecurity, and megaprojects (E.g., smart cities).
  • Growth in B2C (Business to Consumer) services such as digital across entertainment, digital lifestyle, and emerging services.
  • Growth in areas like mobile financial services (MFS), digital advertising, and e-commerce.
  1. Network Transformation

  • Deployment of new access technologies (E.g., 5G, Fiber, Edge, NB-IoT, LTE-M).
  • Network virtualization and digitization of front-end and back-end.
  • IT full-stack modernization and Exchange-to-Exchange (E2E) orchestration.
  1. Changing Consumer Behaviors

  • Demand for a seamless customer experience.
  • Increasing demand for digital interactions across the customer journey.
  • Evolution of enterprises powered by Industry 4.0.
  1. Internal efficiencies and transformation

  • Enhancement of efficiencies and agility with Robotic Process Automation (RPA), analytics, and AI.
  • Optimization of operating models and process re-engineering.
  • Culture change and talent acquisition/ re-skilling for new capabilities.

Industries that will be impacted by 5G

Energy Sector

5G technology will ensure the efficient control of energy and power production. Furthermore, it will be used to process tower monitoring and remote transmission. It will also improve security.

Manufacturing

Manufacturing 5G use cases are tied to the mission-critical concept of factory automation (the processes that must happen in extremely tight time frames to ensure revenue stability without any loss).

In this industry, 5G will also enable abilities like real-time production inspection and assembly line maintenance.

Healthcare

5G will facilitate remote telesurgery and patient monitoring. This will enable doctors to provide care from afar. The network could help augmented reality (AR) and virtual reality (VR) applications.

Smart Cities

5G will improve smart cities’ prospects, including transportation, smart buildings, and smart metering.

Transportation

Thanks to 5G, the emergence of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) is growing faster than expected.

Enterprise concerns regarding 5G and Internet of Thing (IoT)

Concerns regarding 5G IoT
Enterprise concerns regarding 5G and Internet of Thing (IoT)                                         Image Credit: pixabay; pexels

1. IoT Use and Cases

IoT is associated with a positive investment profile. It is a key driver of the fourth industrial revolution. However, a surprising number of enterprises are still unconvinced about it.

40% of enterprises cite poor understanding of its benefits and use cases as a concern, the joint-top answer. IoT’s game-changing potential may be lost if these basic concerns are not addressed.

2. Immature Strategy

While the 5G investment is set to catch up with IoT spending over the next two years, doubts surround its readiness and relevance. 34% fear that 5G is immature, while 32% believe it is not relevant to overall technology and business strategy.

This is instructive since Telecommunications, Media and Technology (TMT) providers position 5G as much more than just a better mobile connection. Findings suggest that 5G has yet to punch its weight as a driver of strategic change.

3. Security and OPS

Both 5G and IoT will give rise to a new horizon of connectivity endpoints. While this can help catalyze new value propositions and closer customer relationships, it may also open the door to new cyber threats. Tellingly, this ranks as the highest concern for both technologies.

Enterprises also struggle to see how both technologies integrate with legacy systems or function with other emerging technologies.

Select 5G use cases for enterprise and B2B

Here are the three main pillars in which 5G might affect the use cases for KSA:

SMART GRIDS

  • Public
  • Mission-critical utilities –water active grid & energy active grid

Global electricity demand is growing at a tremendous pace. To manage this demand, new technological solutions such as smart grids and virtual power plants have emerged.

Virtual Power Plants (VPPs) are connected entities that optimize energy flow through the entire network. VPPs help owners gain maximum profit while keeping the electric network’s balance at the lowest cost available. Typically, they combine several types of resources.

LOGISTICS

Semi-Autonomous vehicles: Fully autonomous, self-driving cars may not be a reality just yet. However, semi-autonomous vehicles with intelligent driving systems installed by default will take to the highways in 2021. And by 2022, 100% of the new vehicles shipped by OEMs will have smart telematics and other connectivity systems.

New Solutions for vehicles: The greater state of connectivity will result in multiple new technological innovations and business models. These include new fleet management solutions, in-car payments and connected commerce, remote diagnostics and OTA updates, predictive maintenance, usage-based auto insurance, and more.

SMART CITIES

Smart Street Lights: A connected system that manages street light schedules, combined with LED lights, can decrease energy costs by up to 77%. This will generate a positive ROI in four years.

Connected CCTV Systems: They can streamline more data in real-time to ensure better monitoring of traffic conditions and public safety. For example, smart streetlights equipped with a video camera and/or gunshot detection sensors can deliver real-time information to officials so that they can respond faster.

Intelligent Parking: Smart parking stations can send 5G data about free parking spots and pricing straight to the driver’s onboard vehicle system. Such solutions can reduce traffic congestion by 8% and generate $93,700 in monthly revenue per parking space.

Connected Traffic Lights: New real-time traffic management systems can emerge and deliver a greater level of control over traffic flow in response to specific demand levels. The integration of 5G will allow for the creation and deployment of traffic strategies in response to real-time conditions like rush hour and congestions.

City managers could also use other strategies to prioritize public transport and optimize the overall traffic flow to reduce stop-start driving. This will reduce pollution.

How can 5G contribute to MENA operators?

1. Customized Pricing

Most providers offer multiple pricing plans with different data limits and other features. One plan might have low set-up fees and high overage charges, while a second offer the inverse.

When evaluating their options, most companies choose a standard plan rather than requesting a customized offering. This is because they lack insight into their connectivity needs and usage patterns.

Without this information, they often pay for unnecessary features, such as a data-volume allowance that far exceeds their requirements.

2. IoT Solutions

Solutions that are easy to adapt must be implemented. Real-time data analysis and the provision of rapid actions to changing needs will drive various sectors. Considering the MENA region and KSA landscape, smart cities, health care, and energy will be the leading sectors.

3. New Products & Services

With the enhancements of 5G, businesses will further change their working traditions. Virtual offices, holographic communications, and real-time live translations might easily become part of the new business environment and customer services. As Saudi is a service-oriented country, some of the new solutions could easily be monetized.

4. Smart Cities

Due to the government’s investments in improving the nation’s quality of life, there is vast potential in the adaptation of these services with a particular focus on security.

Conclusion

This article concludes that introducing the 5G network with digital reforms will create many opportunities for the MENA Region. It will assist investors and the telecom industry. Furthermore, it will lead to economic growth potent enough to enable the region to compete with the rest of the world.

Additional sources you may wish to read:

GSMA – The Mobile Economy Middle East and North Africa 2018

Ericsson, NGMN, TechRepublic, Tech Pro Research, ZDNet, CNET

TM forum Analysis, And Press Releases of Telco Op.

https://www.ey.com/en_gl/telecommunications

Additional Links on this Subject from ReadWrite:

  1. As Oil Flags, Middle Eastern Capital Flowing to IoT, Smart Cities
  2. Big Data in the Telecommunications Ecosystem
  3. Are Telecoms Being Overlooked in Smart City Deployments?
  4. Not Just Connectivity, Telecom Must Leverage the Most of IoT to Deliver Value-Based Services

Top Image Credit: jo kassis; pexels

Doruk Sardag

Digital strategy & innovation lead

Doruk Sardag is a Digital Strategy leader in Digital, and Innovation Competency in EY’s Consulting MENA. He has two bachelor’s degrees in engineering and two master’s degrees in Strategy and Finance.
Throughout his 17-year career, Doruk has gained expertise across a number of sectors, including Telecommunications, Banking & Technology, and Government & Public Sector. He has led large-scale digital strategy and transformation projects across Europe, the Middle East, and Africa and has partnered with clients to develop and implement organizational strategies as well as start-up new organizations. Doruk’s experience in diverse markets such as Germany, Turkey, Saudi Arabia, Egypt, the UAE, and Nigeria gives him a unique understanding of cultural differences and their implications when planning and executing short- and long-term strategic and innovative business plans.

Continue Reading

Copyright © 2020 Diliput News.