What Is the Internet of Taxes? A question answered by Toby Bargar in his article dated May 13, 2021, explains how in this day and age, the Internet generally is gradually spreading wider and wider to cover most daily life. But to this extent, who would have thought so?
So, let us see what it is all about.
What Is the Internet of Taxes?
According to a McKinsey Global Institute report, IoT could have an annual economic impact of $3.9 trillion to $11.1 trillion by 2025. Adoption is accelerating across several settings, including factories, retailers, and even the human body. In fact, smart cities will reportedly create business opportunities worth $2.46 trillion by 2025, and by 2030 more than 70% of global smart city, spending will be from the United States, Western Europe, and China. With AI and the rollout of 5G facilitating faster speeds and scalability, we will see even greater demand across sectors for IoT solutions.
An oft-repeated phrase says that nothing is certain but death and taxes; however, in the case of IoT, we can say that nothing is certain but growth and taxes – we don’t yet know how it’s all going to shake out. The demand for IoT is going to tempt federal, state, and local jurisdictions to tax it. With voice communications taxable revenues declining, taxing IoT is an attractive option to replenish their coffers.
In 1998, Congress passed a moratorium banning state and local governments from taxing internet access. This ban was extended several times. The Permanent Internet Tax Freedom Act (PITFA) converted the moratorium to a permanent ban and was fully implemented nationwide on July 1, 2020. Since the initial moratorium, the internet has risen to be a critical communication tool over other more highly taxed wireless and landline voice options, which continue a steady decline.
The ability to tax IoT may require changing laws and regulations. This process could take some time, but there is a complicated web of laws, regulations, and tax liabilities surrounding IoT in the interim. As we continue to adopt smart solutions, companies have to get smart about the nuances and risks of IoT taxability.
There are two easy questions that will help you to begin to understand your IoT taxability risk.
1) Is your company selling internet access? 2) Is your connectivity embedded or over-the-top?
Over-the-Top or Embedded Connectivity
If your device is networked over a user-supplied connection, then access is over-the-top or bring-your-own Internet connectivity. The over-the-top connection can be wired, Wi-Fi, or purchased separately from a wireless service. For example, if you sell a wireless printer, users connect through their home or office network. You are not supplying the internet, but the device. In these cases, as an IoT device maker, you likely have no responsibility for the customer’s internet connection.
Different than over-the-top, an embedded connection is part of the device. If you sell a device that comes with its own data connection as a component of the sale or service plan, it is embedded. Smartphones are a great example of an embedded connection. The relationships between device makers and network operators can feature widely variable structures. The device provider may need to account for any taxes that need to be collected related to the connection.
The World Wide Web of Gray
Defining internet access may appear intuitive, but not all connectivity is considered internet access. If you are selling a service that meets the statutory definitions of ISP service, the federal law provides a moratorium against state and local taxes.
Private connectivity, however, is often taxable. Unlike the public internet, private connectivity occurs via a Local Area Network (LAN) or Wide Area Network (WAN). This type of access is considered a taxable communication service in most states. If the network is interstate, this will also subject you to the Federal Universal Service Fund fee (FUSF), which is currently 33.4%, an all-time high for this fee and growing higher every quarter.
However, there are questions about whether connections to devices that do not enable a WWW experience – you connect to the internet, but the end-user can’t log onto Facebook or perform a Google search – meet the federal definitions of ISP service. If you do not meet those definitions, then your likely tax destination could be LAN/WAN.
Avoid the Dead Zone
IoT is here to stay. As you develop and deploy IoT solutions, it will be critical to stay informed on the web of tax rules that may or may not apply to your business. Monitor federal and state agencies that have jurisdiction over internet taxation and stay abreast of any changes on the horizon.
With so much uncertainty, it can be tempting to push the envelope, but a conservative interpretation of tax guidance can proactively protect you from being caught off guard.
Finally, to avoid hitting a dead zone, don’t try to navigate the changes on your own. Consult with your tax and legal advisors to ensure that you are aware of the latest developments and plan your course of action accordingly.
A New Civil Engineer‘s article by Fred SHERRATT tries to answer How will the technology revolution of Construction 4.0 impact people?’ Preceding these excerpts and highlights through our bolds with all due respect for all involved are our thoughts.
The debate about the digital transformation of the construction industry in its different markets across, for instance, the MENA region, has been well surveyed on projects through the role of technology in shaping the next phase of development.
The impact of digitalisation in the region’s construction will encompass a radical change in all sectors. Such sectors as electricity and transport, particularly road construction, are naturally, as it were, prone to be digitally handled through automation with a certain ease. According to many observers, the building industry though being, as it were, more vernacular in its diversity and composition, would require still lots of digital innovation and eventually be a crucial driver of future growth in the construction industry. Collected data on what digitisation means for the construction industry to be spent on in the MENA region illustrates well over the recent past. Most concerns are for those countries of the Gulf whether the future’s Construction sites will be people-free’ for obvious reasons and the opposite for the rest of the MENA region.
How will the technology revolution of Construction 4.0 impact people?
Welcome to the Fourth Industrial Revolution! Under Construction 4.0 robots lay bricks and drones carry out surveys. Improved connectivity and data management means AI and machine learning can plan projects better than humans ever could. Building information modelling (BIM) has blossomed, projects completed in the virtual world before ground is even broken. Computer controlled craftsmanship optimises design, whilst the Internet of Things enables the use of real-time data processing and digital twins to optimise delivery on site.
Fred Sherratt is the interim deputy dean for research and innovation in the Faculty of Science and Engineering at Anglia Ruskin University
And for an industry told to Modernise or Die this could not have come at a better time.
Construction 4.0 promises increased efficiencies, enhanced and optimised productivity. Not to mention savings of time and money through reductions of labour, material and processing costs. This is trumpeted across the industry through voices heavy with technological optimism, industrial progress, all the benefits and rewards this revolution will bring, as well as scare stories for those not getting on board now – you’ll be left behind if you miss the boat!
But maybe we should think a little more critically about this. Because we have been here before. Three times to be precise.
And, it hasn’t always gone well. Not least because technology is not neutral, as Jacque Ellul argued in 1954. The underlying rational and objective methods that drive its implementation also instil within it an autonomy and amorality that is potentially dangerous. People and industries are compelled to adapt to technological change – as who but a Luddite would challenge all the promises it brings? – but such change is not always positive. History shows that technology can fundamentally disrupt the ways industries are structured and operate: workers are not just replaced by robots, things change so much neither robots or people are needed at all. So just because we can, doesn’t mean we should, and certainly not without careful deliberation.
Our industry contributes significantly to UK employment, including many site workers who’ve struggled with formal education whilst their myriad practical skills have long been devalued. For them, Construction 4.0 presents a positive narrative of “reskilling” or “multi-skilled” workers, but history suggests a downgrading of both job roles and earning potential is actually much more likely. Technological advancements tend to reduce labour requirements overall and also split skilled roles into two: new tasks only requiring one degree-qualified manager and some unskilled labour, with reduced quality of work and thus less remuneration. Estimates suggest 50% of traditional construction work could be automated over the next 20 years, making this a significant concern. But Construction 4.0 doesn’t care, the amorality technology brings to progress creates a convenient myopia for social consequences such as this. Any reduction in the numbers of people employed or their potential earnings is beneficial – a reduction in wage costs, hurrah! It’s just a shame about the jobs, and the satisfaction people used to be able to realise from skilled manual work.
And it is not just site workers who are vulnerable to such “progress”. Engineers have already seen their work shift into the virtual, where they now sit in front of screens to design and provide information to control and guide subcontractors. Their work is now shaped and structured by new technologies which require specialist skills for operation, and which also created new roles that potentially undermine professional autonomy. Whilst professionals were upskilling themselves, “BIM managers” took charge of the design process as a whole, because they were best able to navigate and negotiate the software, not because they were best skilled to lead design development or coordination. Although things have rebalanced as training caught up, professionals across our industry are now forced into ways of working as the technology dictates, choice is no longer an option.
Indeed, the “technology owner” may even become the dominant industry professional in the future, through the autonomy unquestionably conferred on them. Indeed, Cui bono [who will benefit] is never a bad question to ask, particularly in a US$10bn global construction software marketplace. Software vendors promise solutions to all manner of construction process inefficiencies, but in doing so they are also redesigning industry structures to fit their technologies. But the confidence (arrogance), that technology developers can capture (and inevitably improve) what we do is never challenged: they are now gurus to the industry, with little sense of history, craft or profession. The consequences of this dominance could be considerable: a built environment constructed to meet the dictates of technology, rather than the manifestation of the imagination, fun, creativity and humanity of a real person. Are we happy about that?
We should therefore consider carefully whose agendas Construction 4.0 is serving. Our industry does more than simply create our built environment, it also employs vast numbers of people who gain both income and self-validation from this process. Construction 4.0 is challenging how we do things, disrupting us, bringing progress at last to our dinosaur of an industry. But who is challenging Construction 4.0? Luckily it’s all still relatively piecemeal, smoke and mirrors are plentiful, and we are not (yet) at the point of no return. But it’s up to professionals to point out that Construction 4.0 has the potential to do harm as well as good. We should all think a little more critically before we add our voices to the current tsunami of technological optimism. It’s a common trope of our industry that people are our biggest asset. Why don’t we try to keep it that way?
Fred Sherratt is the interim deputy dean for research and innovation in the Faculty of Science and Engineering at Anglia Ruskin University
T_HQ DATA CENTERS‘ article on Looking to a circular economy by designing green data centers by Joe Devanesanexplaining how to meet the rising data demands of AI & IOT applications whilst helping us discover how an interconnected data centre ecosystem can reduce costs and mitigate risk.
19 February 2021
Can more sustainable data centers be designed that employ green energy and circular technology strategies?
Solving the massive energy consumption dilemma by data centers has been an ongoing challenge for the data industry. Data centers are being constructed and pressed into service at a rapid clip worldwide, but the significant carbon imprint of these projects are causing design teams to study how to minimize the environmental impact of the construction process and enable more green, yet still cost-efficient data center designs.
The astronomical levels of energy output required by data centers is raising concerns among green energy advocates, government administrators, and the data center industry itself. Notable service providers including technology giants with their own centers have started working with companies like CarbonCure, which makes a low-carbon “green” concrete material for the tile-up walls that frame data centers.
Cultivating a circular economy
Concrete’s durability and strength are ideal for industrial construction, but the production of cement requires the use of massive kilns, which require large amounts of energy, and the actual chemical process emits staggeringly high levels of carbon dioxide. CarbonCure’s method repurposes the CO2 emitted by large refineries and chemically mineralizes it during the concrete manufacturing process to make greener and stronger concrete.
CarbonCure’s method is a step towards cultivating a circular economy, where materials are part of an inverted logistics chain, tracking the source and the waste produced, and repurposing them so that they contribute back towards the sustainability of the project, while cutting down on the environmental footprint.
As solutions like CarbonCure’s prove their feasibility as well as the potential to optimize costs, data center customers, especially the bigger corporations that consume more energy, will begin feeling the pressures to adopt environmental practices and corporate social responsibility policies that are in-line with sustainability best practices available in their region.
To overcome the time-sensitive pitfalls that green energy solutions like solar and wind power encounter presently, Google created a “carbon-intelligent computing platform” that optimizes for green energy at its data centers by rescheduling workloads that are not time-sensitive, such as matching workloads to solar power during the day, and to wind energy in the evening when it is airier, for example.
But the intermittent use of renewable energy to overcome the significant carbon footprint associated with electricity, can be sidestepped altogether if more efficient energy storage means could be set up to generate and store power from green sources at data centers.
A new project in the US will showcase a potential solution from Tesla, the electric car company led by tech visionary Elon Musk. Data center technology company Switch will use new large-scale energy storage technology from Tesla to boost its use of solar energy for its mammoth data center campuses in Las Vegas and Reno, Nevada. It is a promising project in pioneering a holistic integration of renewable power, green energy storage and Internet-scale data centers.
Rich Miller writes in DATACENTERFrontier that Beyond Green Power: New Frontiers in Data Center Sustainability can easily be envisioned as these are increasingly populating planet earth.
Above picture is of Large pipes sporting Google’s logo colors move water throughout the cooling plant at the Google’ data center in Douglas County, Georgia. (Photo: Google)
February 3, 2021
Sustainable Construction Strategies
More data center projects will integrate sustainability into design and construction, with early collaboration between teams to minimize the environmental impact of the construction process and create a building with low operational carbon impact, enabling more effective and cost-efficient offset strategies. Design collaboration is essential in seeking to integrate cleaner technologies into the power chain and cooling systems.
Several data center providers are working with CarbonCure, which makes a low-carbon “greener” concrete material for the tile-up walls that frame data centers. Concrete’s durability and strength are ideal for industrial construction, but the production of cement requires the use of massive kilns, which require large amounts of energy, and the actual chemical process emits staggeringly high levels of CO2. CarbonCure takes CO2 produced by large emitters like refineries and chemically mineralizes it during the concrete manufacturing process to make greener and stronger concrete. The process reduces the volume of cement required in the mixing of concrete, while also permanently removing CO2 from the atmosphere.
Waste Stream Accountability and the ‘Circular Economy’
A key priority is tracking the environmental impact of construction components, including a “reverse logistics” process to track the waste stream and disposition of debris. Asset recovery and recycling specialists will become key partners, and the most successful projects will communicate goals and best practices across the contractors and trades participating in each project. The goal is a “circular economy” that reuses and repurposes materials.
Managing packaging for equipment that is shipped to a data center facility is an important and often underlooked facet of waste stream accountability. There are also opportunities in reuse of components and equipment that that can still be productive (although this must be closely managed in a mission-critical environment).
The ability to document a net-zero waste stream impact has the potential to emerge as an additional metric for data center service providers, as customers consider the entirety of their supplier’s sustainability programs.
As customers ask tougher questions about a providers’ environmental practices and corporate social responsibility policies, certifications may emerge as another avenue for service providers to differentiate themselves.
Several ISO certifications, including ISO 50001 and ISO 14001, which Iron Mountain is certified for across its global data center portfolio, focus on energy management and provide frameworks that can assure stakeholders that the provider is considering energy impact and environmental goals in audits, communications, labeling and equipment life cycle analysis.
Water Conservation and Management
Amid changing weather patterns, many areas of the world are facing drought conditions and water is becoming a scarcer and more valuable resource. Data center operators are stepping up their efforts to reduce their reliance on potable water supplies.
Sustainable water strategies include both sourcing and design. On the sourcing front, several Google facilities include water treatment plants that allow it to cool its servers using local bodies of water or waste water from municipal water systems. Data center districts in Ashburn (Va.), Quincy (Washington) and San Antonio offer “grey water” feeds that provide recycled waste water to industrial customers.
On the design front, more providers are choosing cooling systems with minimal need for water, while others are incorporating rainwater recovery strategies that capture rain from huge roofs or parking lots and store it on site, reducing potential burden on local water systems.
Matching Workloads to Renewable Energy
Google has been a leader in the use of artificial intelligence and sophisticated energy provisioning to match its operations to carbon-free energy sources. The company recently said it will power its entire global information empire entirely with carbon-free energy by 2030, matching every hour of its data center operations to carbon-free energy sources. This marks an ambitious step forward in using technology to create exceptional sustainability.
Google can currently account for all its operations with energy purchases. But the intermittent nature of renewable energy creates challenges in matching green power to IT operations around the clock. Solar power is only available during daylight hours. Wind energy can be used at night, but not when the wind dies down. Google created a “carbon-intelligent computing platform” that optimizes for green energy by rescheduling workloads that are not time-sensitive, matching workloads to solar power during the day, and wind energy in the evening, for example. The company also hopes to move workloads between data centers to boost its use of renewables, a strategy that offers even greater potential gains by shifting data center capacity to locations where green energy is more plentiful, routing around utilities that are slow to adopt renewables.
Google has pledged to share its advances with the broader data center industry, providing others with the tools to reduce carbon impact. Continued instrumentation of older data centers is a key step in this direction.
Eliminating Diesel Generators
Microsoft recently announced plans to eliminate its reliance on diesel fuel by the year 2030, which has major implications for the company’s data centers, many of which use diesel-powered generators for emergency backup power. With its new deadline, Microsoft sets in motion a push to either replace its generators with cleaner technologies, or perhaps eliminate them altogether by managing resiliency through software.
Eliminating expensive generators and UPS systems has been a goal for some hyperscale providers. Facebook chose Lulea, Sweden for a data center because the robust local power grid allowed it to operate with fewer generators. In the U.S., providers have experimented with “data stations” that operate with no generators on highly-reliable locations on the power grid.
There are four primary options companies have pursued as alternatives to generators — fuel cells, lithium-ion batteries, shifting capacity to smaller edge data centers that can more easily run on batteries, and shifting to cloud-based resiliency.
Fuel Cells and On-Site Power
Microsoft has successfully tested the use of hydrogen fuel cells to power its data center servers. The company called the test “a worldwide first that could jump-start a long-forecast clean energy economy built around the most abundant element in the universe.”
Microsoft said it recently ran a row of 10 racks of Microsoft Azure cloud servers for 48 hours using a 250-kilowatt hydrogen-powered fuel cell system at a facility near Salt Lake City, Utah. Since most data center power outages last less than 48 hours, the test offered a strong case that fuel cells could be used in place of diesel generators to keep a data center operating through a utility outage.
Some companies, like Equinix and eBay, have deployed Bloom Energy fuel cells to improve reliability and cut energy costs, but have powered them with natural gas. The use of biofuels looms as another potential avenue to pair fuel cells with renewable sourcing.
Utility-scale energy storage has long been the missing link in the data center industry’s effort to power the cloud with renewable energy. Energy storage could overcome the intermittent generation patterns of leading renewable sources. Solar panels only generate power when the sun is shining, and wind turbines are idle in calm weather. Energy storage could address that gap, allowing renewable power to be stored for use overnight and on windless days.
A new project in Nevada will showcase a potential solution from Tesla, the electric car company led by tech visionary Elon Musk. Data center technology company Switch will use new large-scale energy storage technology from Tesla to boost its use of solar energy for its massive data center campuses in Las Vegas and Reno. It is a promising project in pioneering a holistic integration of renewable power, energy storage and Internet-scale data centers.
Talking Sustainability With Experts
Don’t miss the last installment of this series that features a conversation on the future of sustainable data centers. Data Center Frontier Editor Rich Miller discusses the topic with Kevin Hagen, Director, Corporate Responsibility at Iron Mountain, and Alex Sharp, Global Head of Design & Construction — Data Centers at Iron Mountain.
It’s a preview of the upcoming webinar where these experts will discuss sustainability strategies for greener data centers.
China Daily Global in an article titled ‘If data are new gold, governance can safeguard society’, perhaps domestically, but says it all about what to expect in the future relationship of China with say countries of the MENA region.
If data are new gold, governance can safeguard society
By Liu Xiaochun | China Daily Global | Updated: 2021-01-18
It was clearly pointed out in the meeting statement that the collection, usage and management of data shall be improved.
With robust growth of the “new infrastructure” sector, particularly the application of 5G and the internet of things, digital technology will find applications in all walks of society and will bring significant change to people’s way of living.
While appreciating the positive effect that digital society may bring, it is important to fully acknowledge and evaluate the risks that interconnectivity of data may bring and pay attention to data governance.
As digital technology is highly penetrative and spreads widely, the risk of digital technology can be widely disruptive and can go beyond personal privacy. It thus requires precautionary regulatory measures to manage or pre-empt such risks.
There are key issues and risks in data connectivity, and it is important to strike a proper balance between breaking the information silo and data security.
On the one hand, it is important to clarify which part of the society will guide the connectivity of data, be it the government, technology firms or other institutions. For example, the building of smart cities will require data collection from a great number of sectors and departments. It is crucial to make clear who will be responsible for collecting and managing them.
On the other hand, how data can be categorized and managed is another emerging issue. In governing smart cities, new data of all kinds emerge every second. The idea of smart city construction, building industrial internet and digital China cannot be realized without data from all departments and organizations going online.
Yet, with all these key data openly accessible online, inadequate or improper management of these data may pose a possible threat to public security, the police, or even to social and national security.
Both governance and the internet of things across all industries should take the management of public data into account. At the same time, the arithmetic model, a key technology in artificial intelligence, may amplify potential risks in information spreading with no targeted audiences.
There is also the risk of giant internet and technology companies adopting a winner-takes-all approach in data collection. Conventional monopoly usually means taking monopoly of one particular type of products or at most, a certain industry. The new winner-takes-all approach would mean exclusive owning of all data on one particular platform by a certain enterprise.
Online platforms in fields such as e-commerce, digital payments, and delivery services may even gain access to huge amount of social data in the name of innovation or breaking up information silo. Such data may be related to personal, business or even government information.
Should such platforms or online behemoths land in major trouble, or face some unforeseen risks, massive systemic disruptions could unsettle or destabilize society. And with the growth of 5G, the number of such businesses is expected to grow.
A number of steps will likely be taken to strengthen data governance. Control of data risks should be raised as part of State governance efforts. Any arbitrary collection of personal information and data should be prohibited.
The issue of data categorization needs to be resolved through legislative efforts in this field. A number of suggestions have been made in legislation regarding personal information protection, which is very necessary.
Categorization should be made for data under digital economy.
First, special attention should be given to managing data regarding public security, finance and people’s livelihood, and how they can be made accessible on internet platforms and how such data can be used.
Second, the responsibility of data management should be specified, and ownership and usage rights to data clarified.
Third, legal liability in data use and transaction must be made clear.
Fourth, as data management is a new and emerging sector yet closely related to national security, social stability and a steady running of economic activities, a special regulatory department or mechanism should be set up with powers of oversight.
At the same time, a category-specific, more proper oversight on artificial intelligence is also needed, particularly a more targeted regulatory model for algorithms developed by various businesses.
An overhaul of personal data already collected once all the aforementioned systems are in place would be in order.
Mechanism for the oversight and management of super-giant data platforms should be set up. On the one hand, objective views are needed about the monopolies taken by super-giant digital platforms.
These platforms also bear public service functions, differentiating them from industrial or commercial monopolies. Concentration of platforms may also help add on commercial competitiveness and social efficiency.
Take third-party payments as an example. To ensure unimpeded payments, various market participants tend to gather on one payment platform. If communications across different telecom companies cannot be realized, only one telecom platform will eventually survive.
Such logic also applies to third-party transactions, which explains why even though the regulators concerned issued a number of licenses, only a few survived. And there are reasons behind why only those few did manage to survive.
First, the survivors are those that are supported by the banks’ unified payment services. Second, the companies specialized in integrated payment services has become a solution for third-party payment platforms banning one another.
Super-giant platforms will likely continue to increase as digital society grows. Concentration of multiple services in a single platform may make business sense for market share-minded companies. But it is debatable if this is the right path to digital transformation of society.
So, proper regulatory measures and oversights are needed in helping such platforms to grow with society in a responsible manner. This is why, oversight mechanisms are needed, as platform enterprises can’t achieve this on their own through self-regulation.
Meanwhile, all data collected by platform businesses are related to society’s various publics and therefore should not be treated as commercial assets.
The article is a translation of a comment from the Bund Summit by Liu Xiaochun, the deputy dean of the Shanghai Finance Institute.
The United Nations (UN) celebrated on May 10th, 2021, the first edition of the International Day of the Argan Tree, an endemic tree in Morocco.
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