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Bitcoin Rangebound in Anticipation of a Major Move: The Weekly Crypto Recap

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It was a tough week price-wise in the cryptocurrency market. The total capitalization lost around $100 billion as every single coin from the top 20 is in the red. Some lost more than others, but we’ll get to that later.

Kicking it off with Bitcoin. It had a relatively calm week, and even though it’s down about 3% over the period, it’s still not as bad as a lot of the altcoins. BTC was trading at around $34,000 last Friday, and apart from a brief positive spike on Monday, it was all downhill from there. Towards the beginning of the working week, the cryptocurrency started plummeting to reach as low as $31K. At the time of this writing, it’s trading at $31,900.

However, it’s worth noting that the range within which BTC is trading is getting thinner. As reported earlier in the week, the Bollinger Bands – an indicator measuring the price’s standard deviations relative to an SMA – are squeezing hard. This is a typical precursor to a huge move. The last time they were at the current rate was all the way back in October. At the time, the cryptocurrency was trading at about $10K, and there was a massive breakout to the upside that followed.

Another serious event that may explain why the market is so stagnant and indecisive right now is the massive unlock of GBTC shares. As CryptoPotato reported, this Sunday, the Grayscale Bitcoin Trust will unlock shares worth 16,240 BTC, and investors will be free to do with them whatever they see fit. Obviously, this is a serious quantity, and it could cause a serious deviation.

Stepping aside from Bitcoin, altcoins had it even worse. Ethereum is down 10%, Cardano – 10%, Dogecoin – 13.5%, Polkadot – 17.5, Solana – 17%, Polygon (MATIC) – 20%, and so forth. This had Bitcoin’s dominance increase to as much as 46.9% today – a 2% surge since last week.

In any case, it appears that we have turbulent times ahead of us, and it’s important to remain particularly vigilant, for what’s next – only time will tell.

Market Data

Market Cap: $1299B | 24H Vol: 66B | BTC Dominance: 46.9%

BTC: $31,882 (+-3.1%) | ETH: $1,905 (-10.4%) | XRP: $0.602 (-3.5%)

This Week’s Crypto Headlines You Better Not Miss

Michael Saylor Says He’s Not Forced to Sell MicroStrategy’s Bitcoin No Matter What. Michael Saylor, the CEO of MicroStrategy, said that regardless of how low the price of bitcoin goes, he won’t be forced to sell any BTC – whether his personal ones or those belonging to the company he runs.

China Situation Not as Bad, Bitcoin to Reclaim $60K In 2021: Interview with OKEx. In an exclusive interview with CryptoPotato, Lennix Lai, the director of financial markets at OKEx, said that the situation in China isn’t so bad. He also said that Bitcoin should be able to reclaim $60K this year.

Payments Platform Square Touts New DeFi Business Focusing on Bitcoin. Square, the popular mobile payments platform spearheaded by Twitter’s CEO – Jack Dorsey – is branching out with a new business venture that will be entirely focused on Bitcoin. It will host a platform for developers to create non-custodial and decentralized financial projects built around Bitcoin.

Cardano’s Alonzo White Hard Fork Successful, What’s Next? Alonzo’s testnet of the Cardano blockchain went through a successful hardfork dubbed Alonzo White. It is the second in a series of updates that will lead to the ultimate launch of the Alonzo mainnet in preparation for smart contracts on Cardano.

Visa and Mastercard Maintain Support for Binance Amid Regulatory Issues. Customers of Visa and Mastercard will still be able to operate with Binance. This comes as a relief amid the regulatory hurdles that the company is facing. Both payment processors said they are discussing the situation with Binance as well.

ECB Confirms Plans to Work on a Digital Euro, Syas It Will Be Greener Than Bitcoin. The European Central Bank (ECB) has confirmed its plans to work on a Digital Euro. The institution also said that its digital effort will be a lot ‘greener’ compared to Bitcoin and other cryptocurrencies.

Charts

This week we have a chart analysis of Bitcoin, Ethereum, Ripple, Cardano, and Polkadot – click here for the full price analysis.

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Disclaimer: Information found on CryptoPotato is those of writers quoted. It does not represent the opinions of CryptoPotato on whether to buy, sell, or hold any investments. You are advised to conduct your own research before making any investment decisions. Use provided information at your own risk. See Disclaimer for more information.

Cryptocurrency charts by TradingView.

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Source: https://coingenius.news/bitcoin-rangebound-in-anticipation-of-a-major-move-the-weekly-crypto-recap-27/?utm_source=rss&utm_medium=rss&utm_campaign=bitcoin-rangebound-in-anticipation-of-a-major-move-the-weekly-crypto-recap-27

Artificial Intelligence

The Revenue-Driving Effects of IT on Business Strategy

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Business Strategy
Illustration: © IoT For All

Ongoing improvements to information technology (IT) have opened new opportunities for businesses to increase their revenue stream over the past few decades. These new areas of focus are altering business strategies, bringing IT to the forefront, and placing more responsibility on the role of the Chief Information Officer. 

The Changing Role of IT

Over the years, IT has changed from an expensive new fad that businesses were forced to experiment with to a powerful business driver. IT continues to evolve, helping to grow revenue and shape business strategy. As a part of that evolution, the role of the Chief Information Officer has also changed.

Today’s CIO has a seat at the decision-making table, helping to develop strategies, draft policies, and increase revenue. This is occurring through a shift from IT as a cost center toward a creator of value. This shift utilizes digital transformation, leveraging big data, the cloud, and other hallmarks of IT to create novel business models that drive revenue and meet long-term goals while ensuring quality operations. 

How IT Increases Revenue

IT is driving revenues for companies by providing tools to make the following innovative improvements:

  • Increased complex problem-solving: better hardware and smarter applications enable stronger information research and big data analysis, with resultant improvements to scalability planning.
  • Better decision-making abilities: Improved IT allows for solid market research through video conferencing, social media, online industry forums, and web-based surveys for consumer feedback. Powerful digital tools for analytics allows for data interpretation and stronger, more informed decision-making.
  • Improved marketing: Sales depend on reaching the right customer; predictive technology makes personalized marketing possible, and high-tech analytics provide feedback about the effectiveness of the marketing strategies, enabling real-time pricing shifts to maximize revenue.
  • Upgraded customer support: Complex and powerful customer relationship management systems help businesses support their customers through a variety of platforms, including emails, webinars, phone calls, and social media platforms.
  • Enhanced resource management: Cloud technology allows employees to access their enterprise-level software from any device in any location, improving productivity and, ultimately, the bottom line.

How IT Affects Corporate Strategy

Business strategies are shifting to maximize the revenue-driving power of IT. The revenue-generating CIO will consider the following strategic issues:

  • Capitalize on mobility: Cater to the continued mobile platform growth by increasing the value of mobile apps for customer service.
  • Embrace the Internet of Things (IoT): Employ data analytics to harness and utilize big data resulting from the IoT. 
  • Actively collaborate: A key collaboration between the CIO, with expertise in information infrastructure, and the Chief Marketing Officer (CMO), with access to a bank of customer data, should focus on transforming big data into growth and revenue opportunities.
  • Experiment with Artificial Intelligence (AI): AI use can reduce cost and increase productivity, and its efficiency is growing exponentially stronger. As a revenue-generator, AI’s power analytics can be harnessed to turn big data into understandable and usable business information.

As technology continues to improve, the role of IT and, by extension, the role of the CIO will continue to evolve and become even more critical to business success. Cost-saving and improved productivity is not enough to provide strategic advantage anymore. A company that can harness and leverage. IT’s revenue-generating possibilities will see improved bottom lines well into the future.

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Contributors

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Source: https://www.iotforall.com/the-revenue-driving-effects-of-it-on-business-strategy

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Artificial Intelligence

Business Leaders Can Defeat the Labor Uprising with AI

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AI Business
Illustration: © IoT For All

It’s hard to believe that businesses that were fortunate enough to survive the pandemic are now facing another calamity. The labor shortage or wage shortage (depending on where you stand) could cripple the economic recovery efforts of the US as we head towards potential runaway inflation. The latest Consumer Price Index (CPI) is at 5 percent with no end to rising prices.

America’s Work Ethic

Do others around the world see Americans as lazy, entitled teenagers pining for a better allowance? As of May 3, the World Health Organization states that the US was leading other countries in vaccination rates, while other countries like India continue to suffer. Talk to business leaders around the globe, and they’ll find it laughable that America is now “held hostage” by low-skilled, low-wage workers.

Frustrated business owners are left to wonder why those sidelined during the pandemic aren’t rushing back to work. We are experiencing something historic that goes beyond “lazy and entitled Americans.” Three factors are driving the labor shortage as census data comes out:

  • Declining birth rates – down 4 percent from 2019
  • Boomers, up to 40 percent leaving the workforce
  • Low labor force participation rate at 61.4%, according to a February report by the Bureau of Labor Statistics.

Covid did not cause the labor shortage; it did, however, accelerate it. There’s no simple one solution answer, such as raising the minimum wage to address these challenges.

It’s Not a Labor Shortage, It’s a Wage Shortage

Solve the labor shortage by raising the minimum wage to $15 per hour. Big corporations like Amazon, Costco, and Best Buy have taken steps to address this. However, most of America’s makeup is the small business owner who may not afford such a drastic increase in wages.

This philosophy (coming from heartfelt intentions) can hurt both the business and the worker. For example, a dishwasher making $10 per hour is now demanding $15 per hour. That’s a 50 percent increase. Being fair and equitable, that business owner will have to offer a 50 percent increase across the board. Now, the kitchen manager making $20 per hour will be asking for the same 50 percent increase at $30 per hour.

Other expenses for the business owner come with a significant wage increase, such as unemployment insurance, taxes, and worker’s comp. Businesses are now raising their prices triggering, massive inflation rates. As prices increase, many of these workers fighting for higher wages may not afford these products or services as the CPI continues to climb.

Bend, Don’t Break: AI-Driven Technologies to the Rescue

As a 50-year-old, I remember the Carter years – parents complaining about inflation and long gas lines. Back then, technological advancements weren’t available to help businesses. Artificial Intelligence, often defined as the ability for a computer to think and act like a human, has been democratized in recent years and can serve as a tool to help companies address acute labor shortages. 

The labor uprising goes beyond just retail and restaurants. While we see AI-driven digital menus like iOrder, the landscape industry innovates with Graze, the AI-driven lawnmower. Both platforms help address the lack of available workers and improve margins decimated by rising labor costs. In 2017, McKinsey released a study that indicated that by 2030, 30 percent of jobs could be automated with intelligent robots. 

Covid unearthed systematic and societal issues with low-skilled, low-wage workers that need to be addressed. In the meantime, businesses will need to look at ways to keep both labor and prices in check- after all, they are the job creators, and these workers on the sidelines will eventually have to pay their bills.

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Source: https://www.iotforall.com/business-leaders-can-defeat-the-labor-uprising-with-ai

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Artificial Intelligence

Innovations that Drive Smart Home Adoption

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Smart Home
Illustration: © IoT For All

The smart home space within IoT has been a bit of a strange sector for a long time. While it’s the most consumer-facing segment of the IoT industry, it hasn’t really moved very far beyond the early adopter phase into the general consumer market. Until now.

According to a recent report from Technavio, the smart home market is projected to grow by as much as $15.23 billion over the next five years, progressing at a CAGR of almost 18 percent over that time. This is undeniably good news for smart home device manufacturers and IoT ecosystem providers like Amazon, Google, Apple, etc. The expansion of the smart home, including beyond the walls of our homes and across our neighborhoods, will raise new challenges and present new opportunities for intelligent wireless connectivity providers.

Future of Smart Home Design

One of the most common obstacles to smart home adoption has always been the perception that it’s hard for consumers to set up and maintain. In the white paper “The Future of Smart Home Design,” ease of use is identified as a key driver of successful implementation. The paper states that an intelligent smart home can learn the occupants’ patterns and preferences through both observation and inference and as instructed by user rules and other inputs. Those, combined with the system’s observed data, enable smart homes to independently make decisions without additional human input if permitted to do so. A person should only have to oversee or potentially override the system’s decisions as exceptions. 

Edge Intelligence

One key enablement technology that eases the challenges for both connectivity and bandwidth is Edge Intelligence. In the same paper, it is suggested that artificial intelligence and machine learning capabilities can be brought into edge devices to accelerate and improve the complex functions, analytics, and protocols in a fully operational smart home. Making the challenge curve even steeper is the rapidly increasing number of devices being added to home networks as homes get more connected. Mainly, the increased latency between data collection and decision-making drives the demand for intelligence at the edge.

AI should be working in both the edge devices and in the hubs and gateways to enable smart home implementations best. These devices need greater local computing and storage resources than ever before to support advanced automation and analytics. An important aspect of component selection for smart devices is how many supporting vendors the silicon manufacturer has brought together. The more comprehensive the options, the more efficient a system can be.

Security

IoT security has long been an issue for smart home adoption, and now, privacy is also becoming a key concern for consumers. For the smart home – and the IoT as a whole – to scale, security issues must be addressed at both the OEM and the network levels. In addition, the market will need to educate consumers on how they are being protected from breaches in both areas. 

Security threats evolve, so smart devices must evolve as well. IoT device makers should prioritize the inclusion of hardware and software security features that prevent counterfeit devices from using public device IDs to pretend to be an authentic device, have unique device ECC-based public/private keypairs on-chip and through a certificate, and have preventative measures so bad actors cannot hijack code to gain remote control of devices.

Smarter Homes

These are just a few of the challenges that face the growing smart home market, but the opportunities embedded in overcoming these challenges are vast. Smarter homes mean more energy savings, a more secure home, less time spent on chores that are now automated, and an overall higher quality of life.

For a deep dive into the specific strategies and skills that can help you develop smarter, safer, and more efficient smart home products, make sure you register for the upcoming virtual conference Works With by Silicon Labs. Works With is ideal for software developers, hardware engineers, product managers, and IoT business leaders, offering technical, hands-on workshops and market development strategy sessions.

PlatoAi. Web3 Reimagined. Data Intelligence Amplified.
Click here to access.

Source: https://www.iotforall.com/innovations-that-drive-smart-home-adoption

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Artificial Intelligence

Innovations that Drive Smart Home Adoption

Published

on

Smart Home
Illustration: © IoT For All

The smart home space within IoT has been a bit of a strange sector for a long time. While it’s the most consumer-facing segment of the IoT industry, it hasn’t really moved very far beyond the early adopter phase into the general consumer market. Until now.

According to a recent report from Technavio, the smart home market is projected to grow by as much as $15.23 billion over the next five years, progressing at a CAGR of almost 18 percent over that time. This is undeniably good news for smart home device manufacturers and IoT ecosystem providers like Amazon, Google, Apple, etc. The expansion of the smart home, including beyond the walls of our homes and across our neighborhoods, will raise new challenges and present new opportunities for intelligent wireless connectivity providers.

Future of Smart Home Design

One of the most common obstacles to smart home adoption has always been the perception that it’s hard for consumers to set up and maintain. In the white paper “The Future of Smart Home Design,” ease of use is identified as a key driver of successful implementation. The paper states that an intelligent smart home can learn the occupants’ patterns and preferences through both observation and inference and as instructed by user rules and other inputs. Those, combined with the system’s observed data, enable smart homes to independently make decisions without additional human input if permitted to do so. A person should only have to oversee or potentially override the system’s decisions as exceptions. 

Edge Intelligence

One key enablement technology that eases the challenges for both connectivity and bandwidth is Edge Intelligence. In the same paper, it is suggested that artificial intelligence and machine learning capabilities can be brought into edge devices to accelerate and improve the complex functions, analytics, and protocols in a fully operational smart home. Making the challenge curve even steeper is the rapidly increasing number of devices being added to home networks as homes get more connected. Mainly, the increased latency between data collection and decision-making drives the demand for intelligence at the edge.

AI should be working in both the edge devices and in the hubs and gateways to enable smart home implementations best. These devices need greater local computing and storage resources than ever before to support advanced automation and analytics. An important aspect of component selection for smart devices is how many supporting vendors the silicon manufacturer has brought together. The more comprehensive the options, the more efficient a system can be.

Security

IoT security has long been an issue for smart home adoption, and now, privacy is also becoming a key concern for consumers. For the smart home – and the IoT as a whole – to scale, security issues must be addressed at both the OEM and the network levels. In addition, the market will need to educate consumers on how they are being protected from breaches in both areas. 

Security threats evolve, so smart devices must evolve as well. IoT device makers should prioritize the inclusion of hardware and software security features that prevent counterfeit devices from using public device IDs to pretend to be an authentic device, have unique device ECC-based public/private keypairs on-chip and through a certificate, and have preventative measures so bad actors cannot hijack code to gain remote control of devices.

Smarter Homes

These are just a few of the challenges that face the growing smart home market, but the opportunities embedded in overcoming these challenges are vast. Smarter homes mean more energy savings, a more secure home, less time spent on chores that are now automated, and an overall higher quality of life.

For a deep dive into the specific strategies and skills that can help you develop smarter, safer, and more efficient smart home products, make sure you register for the upcoming virtual conference Works With by Silicon Labs. Works With is ideal for software developers, hardware engineers, product managers, and IoT business leaders, offering technical, hands-on workshops and market development strategy sessions.

PlatoAi. Web3 Reimagined. Data Intelligence Amplified.
Click here to access.

Source: https://www.iotforall.com/innovations-that-drive-smart-home-adoption

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