The FAA is encouraging the drone community to join in activities scheduled for the third annual National Drone Safety Awareness Week from September 13 to 19. Stressing that safely integrating drones into the National Airspace System is a key pillar of its work, the agency said the weeklong event can help forward its mission of ensuring that drone pilots understand their responsibilities.
According to the agency, the awareness week is designed to bring together and educate drone pilots and recreational pilots and highlight new requirements and best practices. Each day of the event will feature a specific theme: Safe Flyers Take the Recreational UAS Safety Test (Monday), Register and Mark Your Drone (Tuesday), Become a Part of a Flying Community (Wednesday), New Rules—Remote Identification and Operations Over People (Thursday), Public Safety & Public Acceptance (Friday), and Share the Skies—Get Out and Fly (Saturday and Sunday).
Continue reading: https://www.ainonline.com/aviation-news/business-aviation/2021-08-27/faa-highlighting-safety-during-national-drone-week

Tarika Barrett, who originally started her career as an educator, is now the CEO of Girls Who Code. The international nonprofit organization committed to closing the gender gap in technology has served over 450,000 students to date.
Barrett joins rolling out to discuss this renowned organization as well as her meeting with President Biden to address cybersecurity.
Please introduce yourself to our audience and share your vision? I recently stepped into the seat as CEO of Girls Who Code after working with the organization for five years. Girls Who Code is an international nonprofit committed to closing the gender gap in education, in terms of entry-level tech jobs by 2030. Fifty percent of the girls that we serve come from historically underrepresented groups. So we’re talking about Black, Latina, low-income communities, I’m deeply committed to issues of equity.
So you get the call, and it is the president’s office, what did that feel like, as a CEO? It was extremely humbling to get the call from the director of cybersecurity for the White House asking to be a part of this conversation to have a seat at the table. [Though] there’s a moment where you say, Why me? What can I possibly offer to this conversation? But then, you lean in and say, ‘it is exactly me, I am the person who needs to be in that room.’ Our voices were critical, even across sectors. I represented the education sector, but there was also energy, finance, big tech, insurance, and utilities, [there was] female representation across all of those. But at that moment, I knew that I had to give voice to the concerns of our girls and women, and especially those who have been the most excluded from the tech industry.
Continue reading: https://rollingout.com/2021/08/28/president-biden-selects-girls-who-code-ceo-to-discuss-cybersecurity/

It’s no secret that female representation in the IT sector leaves much to be desired. When searching: “Gender representation in tech” on Google, one is met with headlines like: “Women remain under-represented in emerging tech” (PWC); “Women in tech statistics: The hard truths of an uphill battle” (CIO); and “Are we really closing the gender gap in tech?” (Forbes). Female representation in the IT sector is no longer a taboo subject reserved only for male-dominated conversations, and while previously and consistently questioned, women have proven their capabilities time and time again, and more than earned their seat at the table. Yet inequalities persist, proving that addressing the elephant in the room is no longer the polite thing to do – it’s imperative to the future of the industry.
No, not all female professionals work in HR
“I remember the first few times I interviewed older male candidates who had applied for a job with BBD. I could always tell that they thought I was from HR and wondered when the boss was going to arrive so that we could begin the interview,” tells BBD executive, Charlene Cooke. “At first, I felt weird about it and made sure I invited some older male colleagues to the interview, in case the candidates were put off by me interviewing them.”
Similarly, BBD business analyst Lerato Khabo shares: “I have experienced a few instances at previous workplaces where I was the only woman invited to a meeting and was asked to go and make tea. As women, we have to work harder than men. We need to learn to speak up for ourselves while producing excellent work to backup our claim.”
These stories are two of countless instances where women in tech have been undermined or treated in line with a perception rooted in bias, when the reality is that their presence on technical teams alone is confirmation of their ability to meaningfully contribute to a project – and not with morsels of hospitality like tea, but with hard-earned expertise that can take a solution from ‘good’ to ‘excellent’.
“But the statistics show…”
According to recent studies, code submitted by women is more often accepted compared to that of men. However, it happens only when they are not identifiable as women, as found in research from GitHub. After obtaining data from 1.4 million users, the researcher discovered that the acceptance rate of women’s code was 78.6% compared to 74.6% of those by men, but only when their profiles didn’t contain information on their gender. By comparison, when women did identify their gender, the rate dropped to 62%, revealing not only that code written by women is more likely to be approved by peers than code written by men, but that the tech community at large (where women only account for 19% of the workforce) is biased against women. And this reality has gone unchecked for so long that it has affected women in the industry and how they identify themselves in relation to their male counterparts.
“The gender gap in the industry can affect you in multiple ways. It can make you feel out of place,” says junior software engineer at BBD, Lauren Mitchell. "People's attitudes to women can come out even in the little comments or subtle ways in which they treat you. I've seen how badly this has impacted friends. I have also been told by more than one previous colleague (fortunately not at BBD) that they simply do not believe women should work in the technical field.”
Continue reading: https://www.itweb.co.za/content/KA3WwMdD3K8MrydZ

From a young age, Genia Wilbourn knew she loved math and science.
As an inquisitive, self-proclaimed “daddy’s girl” Genia said in an article, “ I spent a lot of time with him growing up. He took me to football games, boxing matches and the race track (pretty sure I wasn’t supposed to be there). At home, I would just watch Dad fix things around the house and in the garage. I was always fascinated with the way he would find a problem, figure out a solution and then implement it. I loved the whole process – especially seeing the end result!”
Now the Senior VP of Global Network Operations & Assurance, Genia still credits her father for teaching her to never limit herself. It’s that curious spirit and belief that we can all benefit from diverse and creative thinking, that has inspired us to share Genia’s advice for other women in tech.

1. Take the leap and learn new things. This will increase visibility and adaptability, open doors you would not have imagined and keep you relevant.
2. Be prepared by doing your own research. You will have a better understanding of the business problems you are trying to solve. This will increase your confidence level. Always, always stick to the facts!
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   Continue reading: https://finance.yahoo.com/news/run-own-race-not-others-133607472.html

According to data from the Center for Talent Innovation, more than 75% of young women engineers, computer scientists, and other technologists describe themselves as “very ambitious,” with 85% gunning for a promotion in the next 3 years and 62% aspiring to one day reach the C-suite. Just 25% of young women in the tech industry say they get the career support they’ve been promised. Despite the young women’s commitment and enthusiasm, about 2/3 of women engineers leave the profession within 15 years, and that statistic is even more pronounced for women on the technical track.
What’s particularly important about that 80:20 male-to-female ratio in the tech industry is that the research consistently shows a widespread desire to be surrounded by male engineers or computer scientists, and the consequent rejection or minimization of the contributions of minority groups who are seen as different or “diverse”. This leads to exclusion from informal networks that enhance skills and provide useful insights into organizational politics. These biases shape assumptions, perceptions of leadership skills, and advancement. When a woman’s excellence at a “soft” task is seen as “natural,” it’s less valued and not considered a noteworthy achievement. In contrast, an adequate performance by men in stereotypically “feminine” or “soft” skills like nurturing, emotional expressiveness, and communication is considered exceptional — leading to better ratings, faster promotions, and higher pay for them.
These 3 steps will help improve the retention of talented women leaders:

• Challenge them with assignments that require them to learn and practice new skills.
• Connect them with potential mentors and sponsors who will provide feedback and support.
• Invest in them by offering formalized leadership development opportunities for women leaders focused on building the leadership competencies needed to thrive in your organization.

Research has found that men are likely to say they’re ready to take on a new challenge when they feel they have about 60% of the knowledge and skills they need. Women, by contrast, are more likely to wait until they feel they are 90% there. To advance, women need to say “Yes” more often and more quickly. Top women tech leaders are passionate about what their companies do, what their teams are doing, and what they do. Women in leadership roles in the tech industry should understand their value and know what they want.
Continue reading: https://www.analyticsinsight.net/how-to-support-women-in-tech-industry/

Have you ever taken a trip down a technology rabbit hole and wonder if you would ever come out? As a real estate developer, we seek to find ways to enhance our property revenues, but we also search for countless ways to reduce our expenses, become more efficient and enhance our net operating income. In short, we are seeking ways to maximize our investors’ returns and liquidity.
While the world has gone largely digital, certain financial markets remain archaic for managing, buying, and selling assets. This is especially true in the commercial real estate marketplace where the investment sector is very illiquid and inaccessible to most of society. Yes, this represents an inefficient market, but this manually intensive infrastructure also provides for a “technology intervention.”
In short, by using blockchain technology and issuing real estate assets on a distributed ledger (also commonly known as tokenization), the real estate investment market could automate middleman processes, increase liquidity, lower capital requirements for investment and improve transparency.
Basic concepts of blockchain
If you have been following banking, investing, or cryptocurrency over the last 10 years, you may have heard the term blockchain. Blockchain is the record-keeping and storage technology behind many of these financial networks like bitcoin. But what is it … exactly?
In simple terms, blockchain is a database technology that stores information. Specifically, it stores data in blocks that are then chained together … hence the name … blockchain. As new data comes in, it is entered into a fresh block and is then chained onto the previous block, which makes the data chained together in chronological order.
Blockchain was invented for bitcoin by Satoshi Nakamoto in 2008 as a shared, irreversible ledger that facilitates the process of recording transactions, ownership, pricing and tracking assets in a business network. An asset can be tangible (a house, car, cash, land) or intangible (intellectual property, patents, copyrights, branding). Virtually anything of value can be tracked and traded on a blockchain network, reducing risk, eliminating fraud, and cutting costs for all involved.
Digital currency
Digital currency is a form of currency that is available only in digital or electronic form, and not in physical form. It is also called digital money, electronic money, electronic currency, or cyber cash. Digital currencies are intangible and can only be owned and transacted by using computers or electronic wallets connected to the Internet or designated networks.
Like any standard fiat currency, digital currencies can be used to purchase goods as well as to pay for services. Digital currencies have all the intrinsic properties like physical currency, and they allow for instantaneous transactions that can be seamlessly executed for making payments across borders.
Continue reading: https://www.bizjournals.com/dallas/news/2021/08/27/emerging-trends-in-real-estate-how-blockchain.html

Pat Toomey, the most senior Republican on the U.S. Senate Banking Committee, has requested legislative proposals to support cryptocurrency innovation, blockchain and protect crypto investors. At the same time, Democrat Congressman Darren Soto has introduced two bipartisan bills on similar topics.
“Rather than trying to ignore or suppress cryptocurrency and related technologies, regulators and legislators alike need to recognize that open, public networks are here to stay. Our laws and regulations must adapt to these developments,” said Senator Toomey. 
“Not only might cryptocurrency and blockchain technologies be as revolutionary as the internet, they also have the potential to build wealth and financial independence for individuals who are empowered to engage in financial transactions directly with each other, free from oft-costly middlemen.”
Proposals are requested by September 27.
CFTC’s role in regulating virtual currency
Meanwhile, Congressman Darren Soto published two bipartisan bills. One asks the Commodity Futures Trading Commission (CFTC) to explore how price manipulation happens in cryptocurrency markets. It also asks the CFTC to clarify the extent to which it has regulatory authority over market surveillance and enforcement.
Last week, CFTC Commissioner Dawn Stump clarified that the CFTC only has regulatory authority over derivatives markets. Hence, for digital assets that are considered commodities – such as Bitcoin and possibly Ethereum – the CFTC lacks regulatory authority, including oversight. However, it does have enforcement authority for the underlying cash markets where there’s price manipulation or fraud because that impacts derivatives.
Continue reading: https://www.ledgerinsights.com/senator-toomey-seeks-input-on-cryptocurrency-blockchain-legislation/

A flaw in the most popular software used to verify transactions on the Ethereum network nearly triggered a crisis for the world’s most widely used cryptocurrency blockchain. 
About half of the Ethereum ecosystem split into a separate chain after a bug in the Go Ethereum, or Geth, software effected users who hadn’t implemented an update meant to fix the mistake, said Maddie Kennedy, a spokesperson at the cryptocurrency research firm, Chainalysis. 
“This could’ve been a big problem, but it isn’t,” Kennedy said.
About 75% of all users on the Ethereum network utilize Geth as a node to mine the blockchain’s native token, Ether, and to create software that runs functions such as decentralized applications.   
At its worst, the split -- or fork -- could have caused a so-called double-spend attack where the same Ether cryptocurrency would have traded twice during any transaction or trade, according to the news site Decrypt. This would’ve created counterfeit currency and possibly a sharp drop in its value. 
Continue reading: https://www.bloomberg.com/news/articles/2021-08-27/most-used-blockchain-averts-crisis-after-software-flaw-is-fixed

Ishan Pandey:
Hi DH Kim, welcome to our series “Behind the Startup.” Please tell us about yourself and the story behind FinHaven?
About DH Kim:
Kim was born in Seoul and studied international affairs, law, and political philosophy in the United States. His degree was split into two halves because he returned home midway through his degree to serve in the military. After completing his last two years, he returned to Columbia University in New York to pursue his master’s degree, this time with an emphasis on international affairs. However, as the economy of several Asian nations, including South Korea’s, collapsed in 1997, he was obliged to return home to support his family, and he split his degree into two halves once more.
Defaulted loans, consecutive days of losses for the Korea Stock Exchange, and an emergency loan rescue to keep Kia Motors afloat were all part of the financial crisis in South Korea. Kim’s father’s firm was among those that failed. “As a result of it, I knew I needed to study a lot more about money, business, and accounting,” Kim adds. He changed his major to finance and business as a result. After graduation, he obtained a position at Merrill Lynch, which lasted almost a decade until the company collapsed and was sold to Bank of America due to the 2008 global financial crisis.
While Kim, a prolific entrepreneur, does not own a crypto corporation, he believes in the potential of blockchain—the technology that underpins cryptocurrencies—and is using it to develop Finhaven, a company at the vanguard of the transformation Kim discusses.
The firm just debuted as Canada’s first private securities marketplace to operate in several provincial jurisdictions, securing $7.9 million in seed and Series A investment. The marketplace functions similarly to a stock exchange, except it exclusively trades private securities.
It is an attitude and a vision that took decades to form, and it’s the result of years of experience working in a variety of industries in the United States, South Korea, and now Canada.
Ishan Pandey:
According to you, how can DLT disrupt capital markets?
DH Kim:
As one of the leading players in global FinTech efforts, I view blockchain technology as a glimmer of hope for such a turn of the tide. Simply stated, public capital market innovation aims to improve liquidity availability, and its success is determined by how safely it can provide liquidity to businesses in the primary market and investors in the secondary market. As a result, I think private capital market innovation should aim towards the same objectives.
Blockchain-based solutions can improve liquidity in private capital markets while also extending their usefulness to public markets over time. Without getting into too many technical specifics, I’d want to highlight a few key features of blockchain technology’s functioning in respect to capital market applications. The phrase “blockchain technology” is used in this article to refer to a distributed ledger system that includes encryption, wallets, and a consensus process.
Continue reading: https://hackernoon.com/how-blockchain-can-disrupt-private-equity-and-capital-markets-31k37gj

Blockchain is swiftly becoming the go-to solution for DeFi. It's reputation as a system so secure that is bringing cryptocurrency into the mainstream marketplace, is not unfounded. But does the buck stop here? Or are better solutions on the horizon. We spoke to Sankar Krishan, EVP and Industry Head at Banking and Capital Markets at Capgemini about the latest developments in blockchain, and which alteratives could be emerging. 
Q: Blockchain is becoming the go-to solution for digital payments. How will this affect centralised, mainstream providers?
Blockchain has emerged to become the better-trusted network for digital payments, for a variety of reasons. In particular, many of the key informational elements of payments, such as the remitter data, routing, and amount, can all be safely stored within the network – providing greater security, transparency, and traceability. Moreover, the assistance of automation significantly reduces the amount of paperwork needed for such transactions, which ultimately makes it the preferred channel for payments.
 As a response to this growing solution, several mainstream providers are now exploring blockchain rails for their traditional payments business and are investing in several crypto-native payments platforms to synergistically enhance their value proposition.
 Q: In light of the recent Poly Network hack, how safe is blockchain, and what are its vulnerabilities?
Since digital payments were first introduced, cybersecurity teams and hackers around the world have been fighting against one another, which is only expected to continue. The recent Poly Network hack has arguably exposed vulnerabilities in blockchain security which are now being fixed. While cryptocurrency, by definition, has no FDIC type of insurance, it is possible that crypto will have greater protection in the future with the introduction of further regulation.
Given that there are many types of blockchain protocols, it is extremely important to understand what the security protocols are for a security breach. While there are initiatives like cloudsecurityalliance.org, which publishes a detailed list of blockchain weaknesses, it is safe to assume that given the growth of payments on blockchain networks the vulnerabilities are high. But that is only because of the growing pains these networks are facing in their early days.
 Q: What guarantees are there right now that customer assets can be protected when they use blockchain?
I am not aware of any guarantees for crypto assets but flat payments on a bank‘s blockchain network are secured by the same laws as those governing deposits – as is the case with stable coins.
Q: What needs to be done to ensure better security in blockchain technology?
It is important to make the distinction between blockchain technology and cryptos. Blockchain technology is highly secure as all parties in a network verify that the transaction has been executed legitimately. The consensus and protocols inside the network help increase security and ensure seamless processing using cryptography, a secure distributed decentralised ledger, and consensus protocols on what actually happened.  As the technology becomes more mainstream, we will see better security as hackers attempt to trick a node or take nodes offline. While there may be some vulnerabilities within the inter-operations between multiple blockchains, the good news is that security is progressively getting better.
Continue reading: https://fintechmagazine.com/digital-payments/blockchain-technology-defi-security-hackers-market

Over the last three or four years, blockchain adoption has expanded tremendously, and each industry is exploring different use cases for the technology. There are multiple aspects of blockchain — from business to technical and more — but with the way the industry is exploding, it’s really hard to get it right.
It’s best to divide the blockchain topic into two main buckets in order to understand the development of the ecosystem and the key benefits and innovations it provides. One is cryptocurrency, where we cover industries like financial services, insurance and capital markets, including deals via private equity and venture capital. Then we look into the enterprise world, which is about how we apply blockchain as a technology in different industries.
Enterprise blockchain
Last year, we published our “Time for Trust” report, which covers the top five use cases for blockchain technology: provenance, payments and financial instruments, identity, contracts and dispute resolution, and customer engagement. These use cases will have a significant impact on the GDP of a country and the global economy.
The number-one use case is traceability, or provenance. In the future, with the decentralized technological revolution and evolution, you will need to understand and provide full transparency for your consumers. For example, if you are buying medicine for cancer, which is very high priced, you will need to know that it’s authentic, not fake. And this is where we have a technological solution that is enabled by blockchain technology. It is the same with buying haute couture expensive clothes, cars, etc. Consumers who are paying a lot of money must be sure that they are buying authentic items, which is why those supply chains could constitute a killer use case for blockchain — especially in the next decade.
The second use case is around peer-to-peer trading. But how does P2P trading make sense within the supply chain? It is around the logistics market. Say, for example, a company wants to send a container from Amsterdam to Australia. It needs to go to a transport company, which will move a container onto a ship, and then actually it goes ahead. There are also transport providers on the other side of the trade, and they do the same. They unload the container and make sure that it is shipped to the importer. But what if you had a marketplace or platform where you could see how many ships are traveling in the next day or next hour? And if there is a space available, you could directly, yourself, place the container that you want to ship out, meaning that you don’t need a middleman. This is what the future looks like with this kind of decentralized technology.
And then the third — and the last bucket — is around document sharing. How can you store all your bills of lading, letters of credit and certificates in a digitized manner? At the moment, you can do it with a cloud solution, but it’s easy to hack a PDF. And there have been cases where transport companies have faced millions and billions of dollars worth of fraud, forcing them to stick with paper documents because then they know that the paper is exact proof, and they have something tangible on their hands. But with blockchain, you can add a timestamp and completely track how a document is being generated, where it is coming from, who has opened it, who has edited it and who has altered it.
Continue reading: https://cointelegraph.com/news/blockchain-technology-can-change-the-world-and-not-just-via-crypto

Washington has historically been in short supply of lawmakers and enforcers who actually understand the technology they're seeking to regulate.
Gary Gensler is among those changing that.
He's the new chairman of the US Securities and Exchange Commission, an agency that might also be responsible for creating rules in the volatile and wildly popular crypto space.
But before joining in April, he taught blockchain technology at MIT — he can quote Satoshi Nakamoto, the mysterious Bitcoin creator, from memory, Bloomberg reported.
So he's not against the burgeoning $1.6 trillion crypto world, but he's also called it the "Wild West." The once-niche decentralized currency has plunged into the mainstream in recent years, worrying regulators like Gensler who want to throw up guard rails to protect customers from fraud, scams, and market manipulation — a reality that some crypto fanatics aren't too keen on.
MIT professor, former CFTC chair, and ex-Goldman Sachs partner
 
Gensler, 63, has a background in blockchain technology and financial policy, has years of government service under his belt, and spent 18 years at Goldman Sachs, where he became a partner in the Mergers and Acquisitions department.
In 2002, Gensler — a progressive — helped create the Sarbanes-Oxley Act, which became a defining piece of legislation to protect investors from corporate fraud following high-profile scandals like those involving Enron.
President Obama appointed him to chair the Commodity Futures Trading Commission (CFTC) in 2009, and he served until 2014.
Then, Gensler, a graduate of The Wharton School at the University of Pennsylvania, started teaching at MIT in 2018, including a course called Blockchain and Money — meaning he's interested in cryptocurrencies but has said that doesn't mean he's against protecting investors.
What does Gensler want to do?
For one, he asked Congress to pass a law allowing the SEC to monitor all crypto exchanges, and he's open to possibly green-lighting a Bitcoin-focused ETF.
Gensler told Bloomberg this month that digital currencies could be a boon for economic progress, but only if they have robust regulation. He likened it to the auto industry going mainstream when traffic lights and speed limits were introduced.
The SEC is currently eyeing how to rein in multiple areas of the crypto space, including stablecoins, lending platforms, and decentralized finance, or DeFi, he told the outlet.
Continue reading: https://www.businessinsider.com/gary-gensler-sec-chair-crypto-cop-blockchain-regulation-2021-8

During armed conflict, unequal power relations and structural disadvantages derived from gender dynamics are exacerbated. There has been increased recognition of these dynamics during the last several decades, particularly in the context of sexual and gender-based violence in conflict, as exemplified for example in United Nations Security Council Resolution 1325 on Women, Peace, and Security. Though initiatives like this resolution are a positive advancement towards the recognition of discrimination against women and structural disadvantages that they suffer from during armed conflict, other aspects of armed conflict, including, notably, the use of artificial intelligence (AI) for targeting purposes, have remained resistant to insights related to gender. This is particularly problematic in the operational aspect of international humanitarian law (IHL), which contains rules on targeting in armed conflict.
The Gender Dimensions of Distinction and Proportionality
Some gendered dimensions of the application of IHL have long been recognized, especially in the context of rape and other categories of sexual violence against women occurring during armed conflict. Therefore, a great deal of attention has been paid in relation to ensuring accountability for crimes of sexual violence during times of armed conflict, while other aspects of conflict, such as the operational aspect of IHL, have remained overlooked.
In applying the principle of distinction, which requires distinguishing civilians from combatants (only the latter of which may be the target of a lawful attack), gendered assumptions of who is a threat have often played an important role. In modern warfare, often characterized by asymmetry and urban conflict and where combatants can blend in with the civilian population, some militaries and armed groups have struggled to reliably distinguish civilians. Due to gendered stereotypes of expected behavior of women and men, gender has operated as a de facto “qualified identity that supplements the category of civilian.” In practice this can mean that, for women to be targeted, IHL requirements are rigorously applied. Yet, in the case of young civilian males, the bar seems to be lower – gender considerations, coupled with other factors such as geographical location, expose them to a greater risk of being targeted.
An illustrative example of this application of the principle of distinction is in so-called “signature strikes,” a subset of drone strikes adopted by the United States outside what it considers to be “areas of active hostilities.” Signature strikes target persons who are not on traditional battlefields without individually identifying them, but rather based only on patterns of life. According to reports on these strikes, it is sufficient that the persons targeted “fit into the category ‘military-aged males’, who live in regions where terrorists operate, and ‘whose behavior is assessed to be similar enough to those of terrorists to mark them for death.’” However, as the organization Article 36 notes, due to the lack of transparency around the use of armed drones in signature strikes, it is difficult to determine in more detail what standards are used by the U.S. government to classify certain individuals as legal targets. According to a New York Times report from May 2012, in counting casualties from armed drone strikes, the U.S. government reportedly recorded “all military-age males in a strike zone as combatants […] unless there is explicit intelligence posthumously proving them innocent.”
Continue reading: https://www.justsecurity.org/77970/embedding-gender-in-international-humanitarian-law-is-artificial-intelligence-up-to-the-task/

Women vis-à-vis Technology: Negotiating the Challenge of Disengagement
What is the position and status of women vis-à-vis technology in general and new technology in particular? The vital but sensitive question demands closer scrutiny.  Studies have found that in terms of enlistment in various courses and classes relating to cutting-edge technology or in terms of employment in high-tech firms, the percentage of women is very low. In fact, it is considered quite impressive if women come to constitute only one-fourth of the total number. If that is not enough, it is also a fact that women earn much less than their male counterparts. This scenario holds true despite a substantial increase in the enrolment of women in schools and higher academic institutions.
A persistent trend that one finds is that much fewer numbers of women opt for the STEM disciplines in their pre-professional days. This is one though not the only cause of the reflection of lesser women in a workforce involved in scientific, industrial, and technological fields. A world in which half of the human population is supposed to be women is a major cause for concern. It does not augur well when the amazing progress in technology takes place without much involvement of women. The following points expose some of the daily challenges experienced by women in technology to climb up the success ladder:
Unequal Opportunities: The mindset of society is still engaged with gender bias across the world, even in the 21st century. The tech world is known as the male-dominated profession because it is an unconscious bias that women are inferior and cannot understand technical issues or possess better technical skills than men. Thus, women in technology receive fewer work opportunities and promotions due to inequality.
Maternal Leave: The tech-driven world still considers women as child-bearing machines who cannot work due to household chores and child management. Women in the technology field lack that confidence because they know maternal leave can hamper their job opportunities and may not be encouraged to join an office after completing maternal leave. Women have to hold back from successful careers and focus on motherhood due to lack of sufficient support— mental and physical.
Discriminations at Every Stage: Receiving constant insults in a work environment creates a negative impact on the women in the technology field— being talked over, being ignored, giving more opportunities to men-counterpart, being left out of group events, and the list goes on. If any woman stands up for herself and her rights, she is considered to be bold and male employees view her negatively. Women have to continuously fight for their rights and stand up against these daily insults at every stage possible.
Continue reading: https://www.analyticsinsight.net/the-10-most-impactful-women-in-technology-2021/

Every new technology brings with it questions of ethics and unintended consequences. It’s right to ask these questions, but it’s also important to remember that humans are completely at the helm with how these technologies are implemented and when and where they are restrained.
Humanity is deeply ingrained in their success and failure. Looking closely, we can see technologies reflect humanity’s imperfections back to us. But I contend technologies like artificial intelligence can enhance, rather than reduce, the human experience.
Much has been made of digital echo chambers over the years, and in many cases, digital platforms have become dehumanizing. The platforms are not communities; they are launching points, and that’s largely because humans at the helm took it too far or chose not to use the technologies available. This is all part of our digital evolution.
The answer is adding humanity back into the digital world. What does this mean? In simplest terms, it’s remembering why and who the tech was envisioned for in the first place. It’s about striking balance.
Imagine a global digital community built to reflect the actual world around us, a diverse, globally attainable community. AI technology could build balanced, vibrant inclusive communities. When people see community moderation that rewards celebration and respect, then they themselves will become more conditioned to behave accordingly within the community. And when the community is a safe place, there’s room for creativity and expression, which is the essence of what it means to be human.
With AI, the digital age can complement humanity like never before. No doubt the training of AI for this application will go through some learning phases, but this application builds bridges and creates opportunities for authentic connections.
Continue reading: https://thenextweb.com/news/ai-can-enhance-real-virtual-lives-syndication

This article was written by Micaela Kaplan, Ethics in AI Lead, CallMiner
Artificial intelligence (AI) and machine learning (ML) have become ubiquitous in our everyday lives. From self-driving cars to our social media feeds, AI has helped our world operate faster than it ever has, and that’s a good thing — for the most part.
As these technologies integrate into our everyday lives, so too have the many questions around the ethics of using and creating these technologies. AI tools are models and algorithms that have been built on real-world data, so they reflect real-world injustices like racism, misogyny, and homophobia, along with many others. This data leads to models that perpetuate existing stereotypes, reinforce the subordination of certain groups of people to the majority population, or unfairly delegate resources or access to services. All these outcomes cause major repercussions for both consumers and businesses alike.
While many companies have begun recognizing these potential problems in their AI solutions, only a few have begun building the structures and policies to address them. The fact is that AI and social justice can no longer operate as two separate worlds. They need the influence of each other to create tools that will help us build the world we want to see. Addressing the ethical questions surrounding AI and understanding our social responsibilities is a complicated process that involves the challenging work and dedication of many people. Below are a few actionable things to keep in mind as you begin the journey towards responsible AI.
Create a space that allows people to voice their questions and concerns
When studying ethics in any capacity, facing uncomfortable truths comes with the territory. The strongest teams in the fight for responsible AI are those that are honest with themselves. These teams acknowledge the biases that appear in their data, their models, and themselves. They also consider how these biases affect the world around them. Noticing and acting on the biases and impacts requires honest group discussion.
Dedicating the time and space to have these conversations is critical in ensuring that these conversations can be just that — conversations. As teams, we need to create spaces that allow us to speak freely on topics that might be controversial without fear of consequences. This fundamentally requires the support of executives. Sometimes, it might be easier to have a team meet and discuss without executives and then present the group’s ideas to the executives later. This level of anonymity can help provide a sense of security, because ideas presented on behalf of the team cannot be traced back to a single person. Allowing for open communication and honest feedback is what allows us to confront these questions productively. In the fight for ethical AI, it’s not a team against each other; it’s the team against the potential problems in the model.
Continue reading: https://venturebeat.com/2021/08/28/4-considerations-when-taking-responsibility-for-responsible-ai/

Considering the numerous benefits that Artificial Intelligence brings in, almost all the organizations across the globe have been relying on this magnificent technology to get their objectives accomplished and goals met. To reap the best benefits out of AI, firms must make a solid case around how AI will deliver. On that note, here are a few tips and recommendations that the firms can employ to make the case and/or strengthen your business case for Artificial Intelligence and build support.
Providing examples of real-life success stories
Nothing can be more motivating than real-life success stories. This, when incorporated while making the case for AI would turn out to be a huge success. Including early success stories from the pilot projects within the organization is a great way to start with.
Create excitement 
One of the most important points to note is that Artificial Intelligence is constantly changing. Thus, encouraging the team members to talk about the same among themselves develops excitement thereby naturally building the momentum. Also, this is an excellent way to ensure that the gap between strategy and execution is reduced to a large extent.
Get the senior executives into action
What many tend to not take into account how important the role of senior executives is when it comes to building a strong business case for AI. When senior executives work with the AI teams to ensure that the AI system’s input and output will be aligned with their overall digital transformation strategy, the results obtained are exceptional. Well, not just that. The collaborative strategy sessions help in bringing broader visibility to AI initiatives and keep AI research and development efforts tethered to key needs of the business.
Look beyond ROI
It is now high time that we look at Artificial Intelligence as merely a way to capture new revenue. Giving importance to how AI is a roadmap to a plethora of opportunities is needed at this point.
Portraying AI as an epitome of innovation
Today, AI stands the potential for the business leaders to encourage engagement from all levels of the organization than merely being treated as something that operates behind the scenes. Possibly every innovation that one can think of has some relation or the other with the magical world of Artificial Intelligence.
AI as a digital transformation strategy
Going a step further, AI has been easier than ever as far as digitalisation, be it in the form of digital operations or delivering digital services for that matter is concerned. The digital experience that one gets to take full advantage of by virtue of AI surely deserves appreciation.
Integrating AI teams
Asking an AI team to work in a small silo is probably one of the most common mistakes observed. What could be a way out then? Well, integrating the AI teams into the organization would fetch results that surpass the expectations.
Continue reading: https://www.analyticsinsight.net/how-to-strengthen-business-case-for-artificial-intelligence-and-build-support/

The use of artificial intelligence has increased productivity and efficiency in the workplace in nearly every industry. As such, a number of companies have turned to AI to improve their recruiting process—a task that once required hours of sorting through resumes, calling applicants and scheduling interviews to find the perfect candidate.
Despite these advancements, not all companies are aware of the massive benefits that a more automated recruiting process can offer. Below, a panel of Forbes Coaches Council members share ways AI can improve recruiting and the overall hiring process.
1. It Streamlines The Recruiting Process
AI can make recruiting a seamless, smooth action. It can expedite the recruiters’ communications through automated interview confirmation emails, so they have time to actually build relationships with the candidates. This can help them save time and fill positions more quickly. It can also screen and rank candidates faster as well as decrease bias, though it really depends on how it has been programmed and by whom. - Sahar Andrade, MB.BCh, Sahar Consulting, LLC
2. It Can Screen For Suitable Talents
AI can especially help when HR is screening applicants for suitable talents on social media, such as on LinkedIn, for example. Since AI-based screening is algorithm-driven and easy to repeat, this means recruiters’ added value for companies and job seekers lies less in their keyword searches and more in their ability to confirm talents offline. - Michael Thiemann, Strategy-Lab™
3. It Can Remove Unconscious Bias
Artificial intelligence, if set up correctly, can remove unconscious bias caused by names, locations, university names, photos and more by removing these discriminating factors from search criteria and the reviewing process up front. This would make hiring a more equal, less time-consuming process. But the emphasis has to be placed on setting the inclusion and exclusion criteria up fairly. - Victoria Canham, Ahead Together Ltd
Continue reading: https://www.forbes.com/sites/forbescoachescouncil/2021/08/27/key-ways-artificial-intelligence-can-improve-recruiting-in-the-hiring-process/?sh=3346a6d82c52

Artificial intelligence (AI) is not new, but it is revolutionizing the world. Paired with emerging technologies, the applications for AI currently appear to be endless. From accelerating the pace of life saving drugs to streamline operations for cost-savings and revenue amplification, AI platforms are omnipresent, and their impact is inescapable.
IBM terms it the “innovation equation,” and explains that AI became the world’s fastest-growing tech tool for one reason: necessity. The digital age ushered in previously unthinkable quantities of data. Since almost every system in the world relies on, uses, or generates data, something faster than the human mind was needed to organize it. 
Enter AI. Now, you would be hard-pressed to find a company or platform that doesn’t use AI in some way. AI-built, AI-fueled, AI-powered, AI-informed: it is pervasive. In the hands of innovators, the disruption of AI of companies worldwide trends in a positive direction, and has the potential to change the world. In this article we’ll dive into 15 of the most innovative companies in AI right now and the seismic shifts they are causing across industries.
Abacus AI
In the past decade, deep learning neural networks have been used for tasks such as image recognition and speech understanding. The idea is that an artificial neural network can be trained to perform a task by showing it many examples of inputs and desired outputs (examples are called training data). These networks can also be designed so that they recognize patterns or structures in input data by using unsupervised learning algorithms.
Founded by Bindu Reddy, Arvind Sundararajan and Venkat (Siddartha) Naidu, Abacus.AI is the world’s first end-to-end AI and ML platform. Abacus.AI has developed several deep-learning techniques and their expert AI system can be used to train custom neural networks based on the use-case and datasets.
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Organizations can use these techniques to train models or bring their own ML and DL models and use their state-of-the-art toolset that allows data science teams to wrangle data, build real-time machine and deep learning features, upload ipython notebooks, monitor model drift and set up CI/CD for machine learning systems. Their one of kind real-time deep learning platforms makes it extremely simple to launch and monitor personalization, time-series, anomaly detection and NLP models with ease. 
Data Prophet
In the early 1960s, General Motors was one of the first manufacturers to implement a production line with AI. Some benefits for factory owners when implementing an intelligent system are improved quality and increase in throughput/production output while reducing costs or lead time to market by using some examples like robotic process automation (RPA), smart sensors, machine learning (ML) predictive analytics and natural language processing (NLP). 
DataProphet is an award-winning, VC-funded, high-growth AI-as-a-Service company that enables manufacturers to step towards autonomous manufacturing. Co-founded by Frans Cronje in 2014, the DataProphet team are innovators of a novel deep learning technology which harnesses prescriptive analytics for proactive, continual optimization of manufacturing systems. 
Continue reading: https://www.forbes.com/sites/anniebrown/2021/08/27/15-innovative-ai-companies-driving-exponential-shifts-in-their-respective-sectors/?sh=5994674c2bc0

Women in the AI field are making research breakthroughs, spearheading vital ethical discussions, and inspiring the next generation of AI professionals. We created the VentureBeat Women in AI Awards to emphasize the importance of their voices, work, and experience and to shine a light on some of these leaders. In this series, publishing Fridays, we’re diving deeper into conversations with this year’s winners, whom we honored recently at Transform 2021. Check out last week’s interview with a winner of our AI rising star award.
No one got more nominations for a VentureBeat AI award this year than Katia Walsh, a reflection of her career-long effort to mentor women in AI and data science across the globe.
For example, Mark Minevich, chair of AI Policy at International Research Center of AI under UNESCO, said, “Katia is an impressive, values-driven leader [who has] been a diversity champion and mentor of women, LGBTQ, and youth at Levi Strauss & Co, Vodafone, Prudential, Fidelity, Forrester, and in academia over many years.” And Inna Saboshchuk, a current colleague of Walsh’s at Levi Strauss & Co, said, “a single conversation with her will show you how much she cares for the people around her, especially young professionals within AI.”
In particular, these nominators and many others highlighted Walsh’s efforts to upskill team members. Most recently, she launched a machine learning bootcamp that allowed people with no prior experience to not only learn the skills, but apply them every day in their current roles.
VentureBeat is thrilled to present Walsh with this much-deserved AI mentorship award. We recently caught up with her to learn more about the early success of her latest bootcamp, the power of everyday mentorship, and the role it can play in humanizing AI.
This interview has been edited for brevity and clarity.
VentureBeat: You received a ton of nominations for this award, so clearly you’re making a real impact. How would you describe your approach to AI mentorship?
Katia Walsh: My approach is not specific to AI mentorship, but rather overall leadership. I consider myself to be a servant leader, and I see my job as serving the people on my teams, my partners’ teams, and at the companies that I have the privilege to work for. My job is to remove barriers to help them grow, learn, engage, and mobilize others to succeed. So that extends to AI, but it’s not limited to that alone.
VentureBeat: Can you tell us about some of the specific initiatives you’ve launched? I know at Levi Strauss & Co, for example, you recently created a machine learning bootcamp to train more than 100 employees who had no prior machine learning experience, most of them women. That’s amazing. 
Walsh: Absolutely. So we are still in the process. We just started our first cohort between April and May, where we took people with absolutely no experience in coding or statistics from all areas of the company — including warehouses, distribution centers, and retail stores — and sought to make sure we gave people across geographies and across the company the opportunity to learn machine learning and practice that in their day job, regardless of what that day job was.
So we trained the first cohort with 43 people, 63% of whom were women in 14 different locations around the world. And that’s very important because diversity comes in so many different ways, including cultural and geographic diversity. And so that was very successful; every single one of those employees completed the bootcamp. And now we’re about to start our second cohort with 60 people, which will start in September and complete in November.
VentureBeat: I’m glad you mentioned those different aspects of diversity, because the industry is full of conversations around diversity, inclusion efforts, and ethical AI — some of them more genuine than others. So how does AI mentorship ladder up to all that?
Walsh: I see it as just yet another platform to make an impact. AI is such an exciting field, but it can also be seen as intimidating. Some people don’t know if it’s technology or business, but the answer is both. In fact, AI is actually part of our personal lives as well. One of my goals is to humanize the field of AI so that everyone understands the benefits and feels the freedom and the power to contribute to it. And by feeling that, they will in turn help make it even more diverse. At the end of the day — at this point, at least — AI is the product of human beings, with all of human beings’ mindsets, capabilities, and limitations. And so, it’s also imperative to ensure that when we create algorithms, use data, and deliver digital products, we do our very best to really reflect the world we live in.
Continue reading: https://venturebeat.com/2021/08/27/how-to-upskill-your-team-to-tackle-ai-and-machine-learning/

Companies like C3.ai and Palantir have shown that selling AI technology can be quite lucrative. After all, these companies command significant market caps and are growing quickly.
Yet selling AI technology remains difficult. Customers often want customized solutions that are based on their unique data sets. There are also the issues of adoption. The fact is that many AI projects fail to go beyond the proof-of-concept phase.
Then what are some ways to sell AI technologies? Let’s take a look:
It’s Not About Platforms: Many AI vendors extol their “platforms” that can seemingly solve any problems. But this approach is usually off the mark. Let’s face it, there are already top platforms that have solid features and powerful ecosystems.
“Businesses should sell a solution to a problem,” said Muddu Sudhakar, who is the CEO and founder of Aisera. “Customers will buy a platform when multiple solutions are acquired and there are the right integrations. Customers don't have free money sitting on the side just to invest in platforms.”
Sudhakar believes that an AI solution needs to show value within three to six months and there must be a return on investment within the first year.
Insights: It is often fuzzy as to what an AI system does. But for businesses, one of the most compelling aspects of this technology is about getting insights on tough questions. 
Take the example of eightfold.ai. Founded in 2016, the company is focused on leveraging AI for the talent management category.
“A lot of the problems that organizations are looking to solve are intimidating because they don't always have a clear answer,” said Kamal Ahluwalia, who is the President of Eightfold.ai. “There's no one second solution to 'why can't I hire the right people' or 'what skills do I need to be teaching my team so we're ahead of the game in a few years?' But the data is there, and it's usually just not being looked at correctly, or it's not feasible to do so for thousands or millions of times over. AI is all about applying that data, at scale.”
Continue reading: https://www.forbes.com/sites/tomtaulli/2021/08/27/how-to-sell-ai/?sh=24808b363177

Precision agriculture helps boost a farmer’s bottom line and keeps workers safe, but it could also be a key driver in solving the global food crisis.
Precision agriculture gives farmers the tools, data, and resources they need to make critical decisions about their crops. And even though one of the significant advantages of tech-aided farming is cost savings, there’s much more to it than boosting a farmer’s bottom line.
For example, farmers worldwide are using Precision Ag to address the global hunger crisis. By streamlining farming processes and reducing food waste, precision agriculture will likely become a considerable component of agricultural operations in the future.
Solving global hunger and reducing food waste are two significant areas where precision farming can help.
What Is Precision Agriculture?
Precision agriculture aims to increase crop yields and profits by measuring and analyzing critical data points using the latest and greatest tools and technology. Farmers use helpful devices like drones, in-ground sensors, and even farm robots to revolutionize farming and keep workers safe.
As with many other industries, making data-driven decisions is quickly becoming the norm in planting, monitoring, protecting, and harvesting crops.
What are the types of Precision Agriculture?
Examples of precision agriculture (commonly called precision ag) include:

• Measuring soil levels
• Pest and insect monitoring
• Seed and pesticide distribution
• Hydration monitoring and application
• Predictive seed planting analysis
• Optimum crop harvesting time

What are the benefits of Precision Agriculture?
Precision agriculture aims to increase a farmer’s bottom line and give them access to the best data possible. But the benefits of precision ag go further than that.
Other advantages include:

• Farmers can reduce pesticides by applying them to targeted areas instead of mass-distribution
• Cost savings on fuel and fertilizer
• Safer working conditions for employees
• Less food waste and more efficient crop yields (which could help combat global food insecurity)

How Can Precision Agriculture help with global food insecurity?
Global food insecurity exists even in established countries. Six hundred ninety million people worldwide (according to the United Nations) suffer from hunger and malnourishment. Twenty-two percent of children younger than five are developmentally stunted due to malnourishment and underfeeding (according to Our World In Data).
Continue reading: https://iotbusinessnews.com/2021/08/27/46936-precision-agriculture-is-helping-to-solve-global-food-insecurity-heres-how/

A research hub is looking at AI (Artificial Intelligence), drones and big data, alongside other new-age, to help the UAE achieve its national food security vision.
The Sharjah Research Technology and Innovation Park (SRTI Park) has been researching innovative technologies such as hydroponics and aquaponics and using seawater to grow food as it seeks to help the country and the region achieve food security.
"We have been harnessing technology for agricultural production and food security," said Hussain Al Mahmoudi, CEO of SRTI Park. "We have developed hydroponics, and also have a 150-square-metre aquaponics farm (combination of raising fish and cultivating plants in tanks) called Merlin Agrotunnel, that can produce over one tonne of organic vegetables and fruit every month."
Al Mahmoudi said the SRTI Park is a hub for researchers, entrepreneurs, start-ups and industry experts who develop solutions that can shape food production, not only in the UAE but also regionally and globally.
"Research and further development of farming methods agricultural technology will definitely accelerate the sector's growth. We can also use AI and big data to boost agricultural production. We can use drones to map out plants suitable on outdoor farms to save resources," he continued.
Talking about hydroponics, Al Mahmoudi said: "It involves a rather large cost in the beginning, but it significantly reduces the consumption of water – by about 70 per cent – and uses less or no fertilisers, which makes it perfect to grow food in a desert environment with less agricultural space and far less water resources."
Aquaponics, he explained, is a form of agriculture that combines raising fish in tanks with soilless plant culture (hydroponics). The nutrient-rich water from raising fish provides a natural fertiliser for the plants, and the plants help to purify the water for the fish.
Indoor farming, Al Mahmoudi said, eliminates extreme outdoor temperatures and makes particular sense in our desert environment. "We use very little water – about 90 per cent less than conventional farming – and because it is aquaponics, we also produce fresh fish along with a range of vegetables and fruits."
The water used to irrigate the fruit and vegetables is seawater, desalinated through solar energy, thus completing the development of an integrated system ensuring the sustainability of natural resources.
Sustainable food in a land-scarce environment
Al Mahmoudi said a team of botanists, agriculturists and engineers from Merlin International has been conducting research to develop soil-free vertical cultivation (farming) technology that is the ideal way to produce sustainable food in a land-scarce environment.
"This agricultural system at SRTI Park is one of the solutions to the problems of agriculture and food production. The agrotunnel can be combined into multiple units to create a commercial farm to provide fresh organic produce for multiple households daily," he said.
Continue reading: https://www.khaleejtimes.com/news/sharjah-drones-hydroponics-to-boost-uae-food-security

OneSky announced its part of a collaborative effort implementing the world’s first nationwide voluntary Network Remote Identification (NET-RID) program in Switzerland.
Swiss U-Space (SUSI) is a public-private partnership between the Swiss Federal Office of Civil Aviation (FOCA), the Swiss ANSP Skyguide and commercial stakeholders in drones and unmanned traffic management. The NET-RID project demonstrates a remote ID system that balances the needs of law enforcement and federal agencies for security with the needs of the aviation community for safety. The SUSI cooperative system of NET-RID provides insight into air traffic across an entire country – insight that can help aviators adjust flight plans as necessary to improve safety and optimize operations.
Based in Exton, Pennsylvania OneSky is an unmanned aircraft system traffic management ( UTM ) company developing airspace assessment, operations and management solutions for the aviation industry. The company develops web and mobile displays for the public and government to have better situational awareness of the unmanned air picture.
Remote ID (RID) technology is intended to remove the anonymity of the operator, much like a car’s license plate identifies the driver. This is done with electronic systems for aircraft because license plates and tail numbers aren’t visible from the ground and can add to a drone’s load capacity. RID solves the anonymity issue by attaching an electronic tag to a drone operation. This electronic tag is anonymous to the public but linked to a drone registration database where personal information is stored about the drone owner or operator. The Swiss FOCA has developed a drone operator registry, through which drone operators can share their information and get a unique identification number.
Remote ID can be accomplished by two different recognized methods. The first method is using a networked computer system that receives telemetry from a drone via a ground control station (GCS) or potentially attached hardware capable of sending updates through cellular networks (Network-RID, or NET-RID). The second method uses a broadcast device to push telemetry and the drone tag over a direct RF link to a smartphone (Broadcast-RID). In the SUSI NET-RID program, identification information is shared through the interoperable, open-source InterUSS Platform: allowing U-Space Service Providers (USSP) to exchange information as needed.
Continue reading: https://insideunmannedsystems.com/switzerland-implements-nationwide-rid-service-for-drones-with-onesky/

Latest survey on Worldwide Internet Of Things In Retail Market is conducted to provide hidden gems performance analysis to better demonstrate competitive environment of Worldwide Internet Of Things In Retail. The study is a mix of quantitative market stats and qualitative analytical information to uncover market size revenue breakdown by key business segments and end use applications. The report bridges the historical data from 2015 to 2020 and forecasted till 2026*, the outbreak of latest scenario in Worldwide Internet Of Things In Retail market have made companies uncertain about their future outlook as the disturbance in value chain have made serious economic slump. Some are the key & emerging players that are part of coverage and profiled in the study are IBM Corporation, Impinj, Allerin Tech Pvt & RetailNext.
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If you are part of the Worldwide Internet Of Things In Retail industry or intend to be, then study would provide you comprehensive outlook. It is vital to keep your market knowledge up to date analysed by major players and high growth emerging players. If a different set of players need to be analysed as per geography or regional target then enquire us with your customized requirements.
Worldwide Internet Of Things In Retail Market: Competition Analysis With drastic change in consumers behaviour, firms, brands and value stakeholder in Worldwide Internet Of Things In Retail are curious to understand the implications for their products and services. Some of key competitors or manufacturers included in the study are IBM Corporation, Impinj, Allerin Tech Pvt & RetailNext
Market Analysis by Types: , Internet Of Things In Retail markets by type, Beacons, RFID Tags, Sensors, Wearables & Others
Market Analysis by Applications: Physical Business & E-commerce
Worldwide Internet Of Things In Retail Quantitative Market Data
Market Data breakdown by major geographies, Type & Application/End-users • Worldwide Internet Of Things In Retail Market Revenue & Growth Rate by Type [, Internet Of Things In Retail markets by type, Beacons, RFID Tags, Sensors, Wearables & Others] (2016-2026) • Worldwide Internet Of Things In Retail Market Revenue & Growth Rate by Application [Physical Business & E-commerce] (2016-2026) • Worldwide Internet Of Things In Retail Market Revenue & Growth Rate by Each Region Specified (2016-2026) • Worldwide Internet Of Things In Retail Market Volume & Growth Rate by Each Region Specified, Application & Type (2016-2026) • Worldwide Internet Of Things In Retail Market Revenue Share & Y-O-Y Growth Rate by Players (2020)
Important Features that are under offering & key highlights of the Worldwide Internet Of Things In Retail market report: 1. Why lots of Key players are not profiled in Study? –> The market study is surveyed collecting data of various companies from Worldwide Internet Of Things In Retail industry, and the base for coverage is NAICS standards. However, the study is not limited to profile only few companies; connect with sales executive to get customized list. The standard version of research report is listed with players like IBM Corporation, Impinj, Allerin Tech Pvt & RetailNext
2. Does Scope of Market Study allow further Segmentation? —> Yes, for a deep dive analysis add-on segmentation is applicable in premium customized version of report to better derive market values. The standard version of this report covers segmentation by Application [Physical Business & E-commerce], by Type [, Internet Of Things In Retail markets by type, Beacons, RFID Tags, Sensors, Wearables & Others] and by regions [In North America, In Latin America, Europe, The Asia-pacific, Middle East and Africa (MEA), What are the main countries covered?, The United States, Canada, Germany, France, UK, Italy, Russia, China, Japan, Korea, Southeast Asia, India, Australia, Brazil, Mexico, Argentina, Chile, Colombia, Egypt, Saudi Arabia, United Arab Emirates, Nigeria & South Africa]
3. What value addition does Country landscape will provide? —> In the premium version of report, two-level of regional segmentation allows user to have access to country level break-up of market Size by revenue and volume* * Wherever applicable
Read more: https://newsmantraa.us/internet-of-things-in-retail-market-may-see-a-big-move-ibm-impinj-allerin-tech/#ixzz74ktW5Kbe