Language has existed for a very long time, according to human history and evolution. There is content in all written works, including religious scriptures, fiction, poetry, and thought-leadership articles. Humans are content with their food. You must be able to market your items efficiently in order to attract a huge audience. The crypto content marketing , which are now the most popular on the internet, are in high demand.
Cryptocurrency has emerged as a serious financial adversary as a result of the market development of crypto companies. The decentralized, fast, and superior financial system of the Bitcoin market frequently surpasses banks.
 It is tough for new cryptocurrency enterprises to get momentum due to high demand and competition. Newcomers are stealing consumers from several well-known bitcoin companies. As a result, content marketing  is critical for blockchain-based projects. 
For those who are planning to launch NFT or crypto project  could consider these best practices. 
Offer Values
It’s a tough industry with a slew of intertwined challenges. Develop your skills and provide specific information to your clientele. Exaggeration and jargon should be avoided in your writing. Both newbies and seasoned specialists should be able to grasp your material.
To successfully communicate information, use graphs, tables, charts, and other visual aids. This makes it easier for people to understand what you’re saying.
When writing your content, keep both novices and experts in mind. Even seasoned specialists will struggle to understand technical jargon while working with a newbie. Jargon is a waste of time.
If you must use technical terminology, make sure they are adequately explained. This will increase trust and familiarity with your business. Long-term assets are clients who have proved reliability and loyalty.
Continue reading: https://cryptomode.com/crypto-content-marketing-best-practices/

Aside from the buzzing neologism of Web3, there is a bit less catchy but hardly less important concept of Industry 4.0, which includes the new and revolutionary drivers of the next generation’s industrial landscape. And, especially when it comes to the energy sector, blockchain lies at the heart of these technologies. 
The authors of a recently published EUBlockchain Observatory report “Blockchain Applications in the Energy Sector” are convinced that distributed ledger technology (DLT) could become a key enabler technology and has a very high potential to influence or even disrupt the energy sector. This comes as a no surprise, given the five D’s of the Digital Green Shift: deregulation, decarbonization, decentralization, digitization and democratization.
The report highlights the major directions for blockchain in the sector and supplements them with the actual case studies and insights from energy market stakeholders such as Volkswagen, Elia Group, Energy Web Foundation and others.
Cointelegraph spoke to one of the report’s co-authors, commercial director of Europe, the Middle East and Africa (EMEA) region at Energy Web and a member of EU Blockchain Observatory and Forum, Ioannis Vlachos.
Vlachos elaborated on the most intriguing parts and concepts of the document, such as the granularity criterium, the importance of self-sovereign identity and the possible role of DLT in developing the non-electric energy sources consumption.
Continue reading: https://cointelegraph.com/news/how-blockchain-can-open-up-energy-markets-eu-dlt-expert-explains

Let’s say you have an urgent client presentation in Tokyo that requires people with very specific skill sets—a PowerPoint specialist who understands the nuances of Japanese culture, a hologram operator, and an engineer who can operate an obscure application.
This project requires confidentiality and speed, so you rule out onboarding freelancers. You’re at a large company where you know there must be employees who fit the bill. You simply have to find them, vet them, and assemble a team that’s ready to hit the ground running.
Easier said than done.
Suddenly you’re in a maze of emails, word of mouth, dead ends—and when you do assemble your team, you’re a bit hesitant because you’ve never worked with any of them before.
The solution to this unwieldy situation may come from an unlikely source: blockchain.
From gig economy to gig enterprise
The future of business just might be the gig enterprise.
I’m not talking about the gig economy, where organizations rely on contingent workers. What I imagine is a company that combines the gig economy model—connecting team leaders with specialists on a project basis—with the traditional business model, in which the enterprise invests in developing non-contingent employees who are steeped in the company’s culture and knowledge.
Continue reading: https://www.forbes.com/sites/servicenow/2022/06/23/blockchain-and-the-rise-of-the-gig-enterprise/?sh=1af8bc9b64ab

Despite various efforts to encourage more women to study STEM fields in college, the percentage of engineering bachelor’s degrees earned by women in the United States hasn’t increased much in the 21st century. Specifically, it has risen from 18% in 1998 to 22% in 2018.
Women are slowly making gains in engineering degrees
Of all the fields in STEM – or science, technology, engineering and mathematics – the engineering workforce has the lowest proportion of women, at 14%.
That low participation matters for several reasons. Women are not only being left out of some of the highest-paying jobs in STEM, but companies are losing out as well. Research shows that gender-diverse teams make better business decisions than teams that are all-male.
So why aren’t women going into engineering? And what, if anything, can be done to help women who decide to study engineering stay the course? The Society of Women Engineers reports that over 32% of female STEM majors switch to another major. Research shows this rate is typically higher than the rate at which men leave engineering. Of those women who leave the engineering profession, 30% cite the workplace environment as the reason, the society reports. A 2017 study of over 5,000 women who earned bachelor’s degrees in engineering found that 10% never entered the field and 27% left the profession.
Colleges intervene
These are all issues I’ve been researching as associate director of the Center for Women in Technology at the University of Maryland, Baltimore County, or UMBC. In 2018, several colleagues and I found that computing and engineering students who are supported by the center graduate within four years at a rate of 61.2% – a full 19 percentage points higher than students who are not supported by the center. The center supports students through scholarships and extensive academic and social support; in the 2021-22 academic year, 73% of students supported were women. And recently two alumnae of the center – one in 2019 and one in 2022 – have become Fulbright Scholars.
Continue reading: https://theconversation.com/only-about-1-in-5-engineering-degrees-go-to-women-185256

For many women, ‘tech’ can feel like an industry shrouded in mystery – elusive, jargon-filled, generally, dare I say…‘cloud’-y. It’s now been over 10 years since Marc Andreessen famously wrote about software ‘eating the world’, but the reality of what goes on behind the scenes (and on the screens) of the tech companies so central to our lives is still a mystery to the vast majority. The fact that around 75% of Australian tech jobs are filled by men certainly doesn’t help the women already feeling on the outside.
As it stands, there are still many systemic hindrances impacting the natural progression of a woman’s career in tech. Early on, there is gender stereotyping in childhood education, tilted career advice in high school, ill-defined networking and pathway opportunities (at scale) following school, and, less discussed, the casual conversations taking place in Australian living rooms that present tech as a career choice for others, and in particular, men. I’ve heard first hand, in the last 5 years, an account from a teenage girl who was told by a family member that working with computers would “hurt her brain”.
Contemplating a later-in-life transition to tech can feel very intimidating. There is very little established support for career transitions, from the government or from the companies who would benefit from this potential talent pool.  And then there’s the domestic context, in which  women are undertaking 21 hours more unpaid work at home per week than men.
These factors, and tech’s uncompromising rate of change, make the accessibility of entering tech and ‘imposter syndrome’ many women feel, even when well-entrenched in their tech career, unsurprising.
Don’t dismiss your unique skills
Looking from the inside out, however, my advice is ultimately to not be put off by what you think the industry might be, or, if you are already in a tech role, by the fact that you’re a minority in your team. On the contrary, trust that you do bring something valuable and uniquely ‘you’ to the industry – a message that I wish someone had told me (a woman that herself shifted into tech from another path), earlier in my career. Also, keep asking for what you want and believe you are deserving of it! There is truth in the old adage that “if you don’t ask, you don’t get.” Even if you aren’t entirely ready for something, signaling what you want to do allows others to know how to support you and that you will be considered when something that aligns with your interests and ambitions is available.
Continue reading: https://womenlovetech.com/how-can-you-have-a-career-in-tech-dont-be-afraid-to-ask/

Data from a 2018 report on demographics in Silicon Valley show that only 20% of Google software engineers were women—and the numbers were worse at Facebook (19%), Uber (18%) and Twitter (17%). According to the McKinsey Women in the Workplace 2021 report, women reported more stress and burnout than men due to the Covid-19 pandemic, with 1 in 3 saying they were considering a career downshift or leaving the workforce entirely.
However, there are signs that after the Great Resignation, we’re seeing a Great Reentry: In March 2022, the labor-force participation rate for women between 25 and 54 rose to 76.5%, the highest it’s been since February 2020. If you’re at a company that’s looking to hire software engineers, it’s a good time to take advantage of this opportunity to improve your gender diversity.
One way you can start is to look at how you hire and identify areas for improvement. Here are several ideas you can implement to help you level the playing field in your hiring process.
1. Scrutinize your job descriptions.
In 2019, LinkedIn researchers published an interesting stat: When a woman clicks on a job description, they’re 16% less likely to apply to that job than a man who reads the same description. Studies have shown there’s a confidence gap when it comes to how women and men interpret job descriptions: Women are more likely to believe they need to meet 100% of the qualifications, whereas men will apply if they only meet 60%.
With this in mind, your job descriptions should include only the true requirements, not the nice-to-haves. It can be difficult for a hiring manager to pare down their list or know how to benchmark a role against industry standards. It’s becoming increasingly common for companies to enlist industrial-organizational (IO) psychologists to conduct a job analysis and write neutral job descriptions.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/06/23/how-to-hire-more-women-engineers-in-tech-and-why-you-should/?sh=638de01742b7

Business leaders in Africa are optimistic about the potential of artificial intelligence (AI) in transforming the continent, and are actively investing in the technology to gain a slice of the global AI market.
The 2022 State of AI in Africa report (pdf) published recently by AI Media Group shows that in the past five years many companies across the continent are making efforts to leverage AI for business efficiency.
Most nations believe AI is at the center of the Fourth Industrial Revolution (4IR) , described as a period of rapid transformation anchored on frontier technologies such as AI, 5G, blockchain, IoT, cloud, 4D printing, quantum computing, and the metaverse. They are pushing through their individual challenges to make it a business enabler. Much of Africa’s AI growth has been attributed to the covid-19 pandemic which accelerated digital transformation.
Currently, over 2,400 companies list AI as a specialty of which 40% were founded in the last five years. In what shows that the industry is at its initial growth stages in Africa, 34% of companies using AI are medium enterprises with less than 100 staff while 41% are startups with less than ten employees.
By 2030, AI could contribute $1.5 trillion to Africa’s GDP
Founder chair of outreach at United Nations—International Telecommunication Union AI for Good project Stephen Ibaraki says in the report that Africa is at the heart of the current global digital reshaping of industries.
“With $500 trillion in wealth held globally in 2022, Africa represents the greatest investment target and opportunity,” he says. 
PwC projects (pdf) that AI could contribute up to $15.7 trillion to the global economy in 2030, more than the current output of China and India combined. Analysts say AI could expand Africa’s economy by a staggering $1.5 trillion by 2030—about 50% of its current GDP—if it could only capture 10% of the fast-growing global AI market.
Continue reading: https://qz.com/africa/2180864/africa-does-not-want-to-be-left-behind-in-the-ai-revolution/

We live in a world of torrential data flows that outstrip our limited human ability to comprehend and act on this information. Today, marketers must monitor customer interactions with brands across dozens of platforms, devices and media formats. You must track quantifiable metrics like how many times a post is shared as well as qualitative metrics like the sentiments of customers when you share a post. You must understand how a customer interacts with your brand and how that customer interacts with other brands—especially competitors—and other customers. And now, with increasing economic pressures, it is more imperative than ever for you to make timely decisions with what information you have to optimize brand performance and achieve the business outcomes for which you are accountable.
It’s dizzying to even think about.
The internet has connected brands and consumers in ways that are both strange and beautiful, but the cost of this connection is complexity. There is now so much data from these interactions that marketers don’t know what to do with it all. This is precisely the type of challenge that artificial intelligence is built to overcome. Intelligent algorithms grow smarter the more data they ingest, which increases the value they provide to users by distilling mounds of data into grokkable insights.
AI unlocks new marketing potential.
While many chief marketing officers and other decision makers have embraced the promise of AI, many marketers still seem to be wary—if not downright spooked—of the integration of machine intelligence into their workflows. Their concerns are the same as workers in every industry where automation is on the rise: What if AI makes my job obsolete?
Continue reading: https://www.forbes.com/sites/forbesbusinesscouncil/2022/06/23/ai-wont-replace-marketers-it-will-make-them-more-valuable/?sh=53c5be8c12ad

In the 1970s, as Evelynn Hammonds walked the halls of MIT’s physics department on her way to a Ph.D., faculty, students, and staff kept asking her the same question:
“Hi, Shirley, how’s your work going?”
Her name, of course, was Evelynn, not Shirley. A few years before, Shirley Jackson, the second African American woman to receive a Ph.D. in physics in the United States, had been the only Black woman in the department. But she was gone by the time Hammonds, also the only Black woman in MIT physics, arrived.
“As an African American woman, I carried the double burden,” Hammonds, the chair and professor of the history of science at Harvard, recalled in a recent interview with the Harvard Museums of Science and Culture. “The first two years, I just felt like I was constantly fighting to have people take me seriously.”
After she earned her degree, Hammonds took a leave of absence to grapple with questions physics couldn’t answer: “Where are the women? What’s going on?”
Today, on the 50th anniversary of Title IX, which prohibits sex-based discrimination at educational institutions that receive federal funding, she’s still asking why there aren’t more women in science, technology, engineering, and mathematics. “The attitudes and the culture haven’t changed as much as they absolutely have to,” she said.
Continue reading: https://news.harvard.edu/gazette/story/2022/06/women-in-stem-need-more-than-a-law/

It’s International Women in Engineering Day. Several exceptional women working in tech. They share some of the challenges they’ve faced working in this typically male-dominated sector, as well as valuable tips to other women looking to break into the industry.
Peggy de Lange, VP of International Expansion at Fiverr
Peggy De Lange is VP of International Expansion at Fiverr. In this role, she is responsible for opening new and existing markets as well as localizing the user experience for buyers and sellers. Peggy has been with Fiverr since 2012 and over the past 10 years or so has witnessed and shaped how the company has evolved, grown and gone public. Step by step, the platform is now becoming more international.
“Championing diversity across all teams will help diminish the stereotype that STEM careers are more suited to one gender. Women need to find belief in themselves that they can pursue a career in any industry that they desire.
“However, by creating a culture that is genuinely inclusive and diverse, businesses can encourage people from different backgrounds to consider careers which perhaps, at first, didn’t seem accessible. By eliminating bias, we’re opening the door to new demographics and businesses can benefit from a truly collaborative and inclusive team.
“A great way to do this is to reward people based on their talent. The freelance community is a good example of this. We’ve already started seeing more females being championed as we dilute bias by focusing on the quality of work, over people’s gender identities.”
Continue reading: https://www.silicon.co.uk/e-management/jobs/top-tips-from-leading-females-within-tech-on-international-women-in-engineering-day-463890

For a while now, the blockchain sector has been selling promises of the idylls of Web3 and how it’s going to overhaul the existing internet. Issues surrounding too many login credentials, security, accessibility, and content moderation all haunt the internet of today. New, decentralized technologies stand to address virtually all of these concerns, but there’s a catch. All too often these networks are still built upon legacy infrastructure, and, as such, are exposed to many of the same defects. Fortunately, it doesn’t have to be this way, and there are platforms already in service that offer the true vision of tomorrow’s Web3 experience.
What Web2 looks like now
Web2, the epoch of the internet that we have been in for the better part of 20 years now, has served the general population well and offered us some life-changing services. Streaming entertainment, mobile internet, and the gig economy are all revolutions that this era of telecommunications has offered us. That being said, it is not without its shortcomings.
Web2 services have largely become owned and operated by a handful of large, centralized companies. This has led to some unsavory practices, most notably around data harvesting, with some of the biggest names in the tech industry taking part. Users have lost control over their own information, and they aren’t happy about it. That being said, these services have become so all encompassing that many have little choice but to engage with them.
Another problem with the current web2 landscape is the fact that it still runs on legacy server infrastructure. These centralized networks are often susceptible to access by attackers if not set up or monitored correctly. Often all it takes is an exploit in a database or poorly crafted password to compromise the security of a major platform. The faultiness of the current system has contributed to a considerable rise in the prevalence of cybercrime and multiple data breaches over the last decade.
Continue reading: https://www.cpomagazine.com/cyber-security/what-does-web3-truly-look-like/

How many crypto billionaires will there be? Rhys Lindmark, CEO of Roote, a nonprofit startup studio, answered this question at Consensus 2022 in Austin, Texas.
"By 2025, or 2030, 20% of all billionaires will be crypto billionaires,” he said, if bitcoin hits $200,000. Drilling down further, that would give the world 400 BTC billionaires and 200 ETH billionaires. That’s a huge jump from the current estimate of 19 crypto billionaires.
And just as technical innovation produces a new generation of wealthy elites, it also produces philanthropists. How the crypto generation spends its wealth may determine if humanity is able to adequately address its existential issues.
Web2 gave the world the Bill & Melinda Gates Foundation, Schmidt Futures and the Chan Zuckerberg Initiative – massive organizations that funnel money towards worthy causes. Web3, also a huge “wealth creation event,” is seeing its own class of philanthropic institutions like the FTX Future Fund, which pledged to donate $100 million this year.
For Lindmark, what separates Web2 from 3 is the idea of "SquadWealth,” or what happens when communities are able to align around emerging financial incentives. This matters for capital formation – like founding new projects – as well as philanthropy.
“Every round is a community round, with NFT degens and crypto VCs aping in together,” Lindmark said.
Not only that, but crypto seems to have an obsession with building “public goods,” he said. "These are a bunch of Web3 projects that are creating positive externalities, and they're all about giving back."
Crypto may also finally give us a “risk-adjusted investment ladder for public goods” similar to how venture capitalists value startups. "We will have seed, Series A, Series B, etc., but for nonprofit public goods,” he said.
What’s more? “Donors will be repaid through retroactive public goods funding," Lindmark said. CoinDesk spoke with Lindmark after his presentation on the Big Ideas stage to hear more about philanthropy in Web3. The conversation has been lightly edited for clarity and brevity.
Continue reading: https://www.coindesk.com/layer2/2022/06/22/how-web3-and-bitcoin-billionaires-will-revolutionize-philanthropy/

Present businesses are data-oriented, where each piece of information bears importance. One more thing that requires mention in this flow of analysis is data security.
Blockchain Technology can be an effective ally to the Internet of Things industry.
If you trade Cryptocurrency, you know it is a Blockchain-based Technology. When it comes to trading on the Cryptocurrency bitcoin era turned out to be an effective tool to facilitate Cryptocurrency trading.
In this article, we are going to make a discussion on the need to secure the Internet of Things with Blockchain.
Dealing With The Challenges 
According to a prediction by Garter, more than 20% of businesses will make use of security solutions to protect the Internet of Things devices.
When it comes to the IoT ecosystem, components like Cloud providers, system integrators, and device manufacturing solution providers integrate in a harmonious manner so that advantages can be reaped.
The overall mechanism involves the reciprocation of tons of data, as handling enormous volumes of information is challenging
Furthermore, processing the data to replicate valuable action is also highly challenging. To mitigate these challenges, a protection mechanism is a must.
It is, therefore, understood that business intelligence expects spending on security systems to secure the IoT devices.
Advantages Of Blockchain
There are definitely some advantages of Blockchain that one expects to be integrated with the Internet of Things.
The biggest advantage that you are going to have with the Blockchain is, that it is open to the public.
Everyone participating in this can see the blocks as well as the transactions that are stored in them.
Continue reading: https://business-review.eu/tech/securing-iots-with-blockchain-what-experts-say-232349

In Spain, the Madrid Metro uses AI to monitor its network and reduce energy consumption by 25%. In the U.S., a beverage company uses AI to drive sales by analyzing retailers and markets. In Europe, an energy company trains its engineers and managers in a digital twin factory powered by AI. In the Middle East, a telco’s AI-powered virtual assistant speaks to 1.65 million customers every month in different Arab dialects and English.
Undoubtedly, AI is in full adoption around the world, with all industries recognizing it as the next big thing in tech. However, a report from Accenture, assures that 63% of companies using AI are only scratching the surface.
On June 8, 2022, Accenture presented the report The Art of AI Maturity. The report concludes that the majority of organizations using AI are still experimenting with the technology. Only 12% are using it at maturity level.
AI Achievers vs. AI Experimenters
According to Accenture, about 30% of the total revenue of “AI Achievers” is linked to AI. “AI Achievers” also enjoyed 50% greater revenue growth on average during the 2019 pandemic era.
“In 2021, among executives of the world’s 2,000 largest companies (by market capitalization), those who discussed AI on their earnings calls were 40% more likely to see their firms’ share prices increase—up from 23% in 2018,” Accenture says.
In total, Accenture identified four groups: “AI Achievers”, “AI Builders”, “AI Innovators” and “AI Experimenters”. Achievers, Builders and Innovators combined, represent just 37% of surveyed organizations. “AI Experimenters” almost double these numbers.
Continue reading: https://www.techrepublic.com/article/over-60-of-companies-are-just-scratching-the-surface-of-ai/

Few people can claim the moniker of “pioneer” in building the internet as we know it. Rami Rahim, CEO of Juniper Networks, is one of them who had a front-row seat in the late 90s to the infant days of building the internet. At the time, I along with other Silicon Valley CEOs, was frantically building out web 1.0 companies, which required a grueling DIY business creation approach.
Back then, we all had to build everything ourselves, like hardware, software, data centers and even dial-up access networks—without convenient, low-cost broadband and AWS services that allow us to quickly launch services, apps and sites now. The predominant problem pioneers like Rahim were trying to solve for us centered on creating massive networking hardware capable of keeping up with a world teeming with people interested in logging onto the world wide web—especially bandwidth thirsty online games companies like mine at the time. He served as a key engineer on the founding Juniper team that brought to market breakthrough silicon inside computer hardware that helped scale the global internet to what it is today and holds 17 patents in various networking technologies.
While the challenge of keeping up with insatiable demand for network services will never go away, and our reliance on the global internet has never been greater, the game has changed, and requires yet another reboot—and a new way of thinking about computer networks.
As I’ve been delivering keynotes and digital-transformation executive education sessions about buzzy innovations on the horizon, like Web3, metaverse and self-driving cars, it’s becoming clearer that there is not just a consumer sea change ahead, but the technology infrastructure, networking, hardware and software that makes it all happen. And if Juniper and its competitors are going to stay in a leadership position of relevance—they need a reboot.
AI (artificial intelligence) and machine learning have transformed the way we work, shop and play, while enabling entrepreneurs to invent entire new categories—from Hopper, which rebooted when you should buy a ticket to Revieve (where I’m Chairman), which transformed how retailers, brands and media companies personalize health, beauty and wellness for consumers.
Continue reading: https://www.forbes.com/sites/deandebiase/2022/06/21/the-ceo-rebooting-ai/?sh=50a273cc1550

Two days ago, New York Times tech newsletter writer Shira Ovide published an article with the title, Where are the delivery drones. Ovide asserts that for the foreseeable future, the opportunity and scale of drone deliveries will continue to be a disappointment. Although I agree that the industry overpromised early in its development, the piece’s overall opinion—that the reason is because the economics don’t make sense or that the value to society isn’t real—was way off base. Below is a breakdown of where I believe the UAS industry, and certainly I, have a different opinion.
Ovide writes:

The bottom line: For the foreseeable future, drone deliveries will be handy in a limited number of places for a small number of products under certain conditions. But because of technical and financial limitations, drones are unlikely to be the future of package delivery on a mass scale.

Click to expand...

She misses one key point that really undermines her argument. Regulatory limitations in most countries have largely scared away investment and made the type of innovation necessary for rapid, but safe, rollout take much longer than it could have. In those countries where regulators have been able to approve scaled drone operations, as the article does warrant, drone delivery has been extremely successful in enabling disconnected populations to receive life-improving services. The difference there was not that people or institutions are willing to pay more (in fact the alternative modes of transportation are generally motorcycle delivery or similar truck-load deliveries with far lower labor costs) but that regulators have largely been more open to new approaches and have seen the societal value of on-demand, just in-time, delivery.
Ovide asserts: “Drone deliveries are a significant improvement for some tasks, like bringing medicine to people in remote areas. But that’s less ambitious than the big drone dream Bezos and others pitched to the public.”
Continue reading: https://www.forbes.com/sites/harrisonwolf/2022/06/17/its-not-economics-diminishing-drone-delivery/?sh=73ecad16537b

These days there are far more women working in engineering and to celebrate International Women in Engineering Day, we’re going to talk to two women who’ve undertaken a software engineering course at the Holberton School in Melbourne Australia.
For many women initially – a career as a software engineer can seem too challenging but this didn’t deter Gem and Cienna. Even though software engineering is an area where there’s traditionally far more men than women, Gem and Cienna chose to take up software engineering as a career path at the Holberton School. In Australia, we are currently experiencing a tech skills shortage so more women are being encouraged to consider software engineering as a career.
Here at Women Love Tech, we asked Gem and Cienna first how they’re going to celebrate International Women in Engineering day tomorrow?
Cienna says: “Good question. I think I’m going to celebrate this day by doing the thing that makes me part of women in engineering – which is to work on my Holberton projects – because I actually really love to code. Later in the day, I’m going to catch up with my classmates and other women in the cohort to hangout and talk about this whole journey because, yes, we’ve been through a lot. It’s good to reflect on our journey and talk about we how we can achieve our goals going forward. So, hopefully by the next International Women in Engineering day, we will have some stories to tell!”
Gem adds: “Well, for me, I think I’m going to try and recommend pursuing a career in tech with Holberton to more of my friends, even classmates from previous programs. I really believe in the program and would love to help more women looking to get into tech.”
Then we asked them why they thought working in software engineering was a good choice for them.
Gem – who is 27 years old – said that before she started studying at Holberton, she studied arts and marketing at Monash University. Cienna is 24 years old and she’d been working full-time as a nurse for over two years. She told us: “I never thought I would switch my career to software engineering, but I had a chance and then I just took the leap – took the opportunity. And here I am doing whole buttons and I love it.”
Continue reading: https://womenlovetech.com/celebrating-international-women-in-engineering-day-tomorrow/

Believe it or not, the tech and start-up world is booming here in the Queen City. With the biggest start-up competition in the world happening right downtown, there should be no surprise that tech and start-ups are influencing Buffalo’s economy in a big way. We owe a majority of this start-up renaissance to the 43North team at Seneca One Tower since they are responsible for the pitch competition that brings a lot of these businesses to Buffalo in the first place. The team works around the clock to break down myths surrounding start-ups and show that this work really is for everyone- especially for women!
In recent past years, the tech world proved to be a majority male-dominated industry, and according to data from CompTIA, “the composition of the tech sector workforce in 2019 consisted of 5.1 million men and 2.5 million women, translating to 67% and 33%, respectively,” but the face of tech seems to be changing according to these women in tech: Courtney Caldwell with ShearShare, Maura Duggan with ACV Auctions, and Renita DiStefano with Seneca Gaming Corporation. At a recent 43North Women in Tech panel discussions, each of these women discussed their unique journeys into the tech industry and how determination, perseverance, and recognition of their own strengths played a major role in their success.
Courtney Caldwell
Courtney and Dr. Tye Caldwell are changing the game when it comes to the community of beauty and barbering entrepreneurs with their app ShearShare. ShearShare is the first mobile marketplace to monetize underutilized assets in the beauty and barbering industry, starting with space to work. Stylists rent suites/stations by the day, week, or occasion with zero contract or commission, and salon, spa, and barbershop owners make money on empty space they already have. After humble beginnings that started as a side hustle, this business began to boom and even was awarded a $500,000 prize from the 43North pitch competition. While Courtney has no previous experience in the tech industry, she quickly learned that strengths she already possessed ultimately paved the way for the company’s growing success.
“The first thing I always want to make sure of, especially when I’m talking to other women who are thinking about jumping into tech or thinking about creating a startup or a tech company or whatever, is that we have to make sure we really lean in on our own strengths. So many times we discount ourselves out of a decision because we say, ‘well, I don’t have that type of experience’ or ‘oh, I don’t know how to do that,’ when in actuality we should be focusing on the strengths we already possess because that’s where the magic is. I don’t have to know how to code in order to run a tech company.”
Continue reading: https://www.buffalorising.com/2022/06/three-trailblazing-women-in-buffalos-tech-industry/

IoT has seen steady adopted across the business world over the past decade. Businesses have been built or optimized using IoT devices and their data capabilities, ushering in a new era of business and consumer technology. Now the next wave is upon us as advances in AI and machine learning unleash the possibilities of IoT devices utilizing “artificial intelligence of things,” or AIoT.
Consumers, businesses, economies, and industries that adopt and invest in AIoT can leverage its power and gain competitive advantages. IoT collects the data, and AI analyzes it to simulate smart behavior and support decision-making processes with minimal human intervention.
Why IoT needs AI
IoT allows devices to communicate with each other and act on those insights. These devices are only as good as the data they provide. To be useful for decision-making, the data needs to be collected, stored, processed, and analyzed.
This creates a challenge for organizations. As IoT adoption increases, businesses are struggling to process the data efficiently and use it for real-world decision making and insights.
This is due to two problems: the cloud and data transport. The cloud can’t scale proportionately to handle all the data that comes from IoT devices, and transporting data from the IoT devices to the cloud is bandwidth-limited. No matter the size and sophistication of the communications network, the sheer volume of data collected by IoT devices leads to latency and congestion.
Several IoT applications rely on rapid, real-time decision-making such as autonomous cars. To be effective and safe, autonomous cars need to process data and make instantaneous decisions (just like a human being). They can’t be limited by latency, unreliable connectivity, and low bandwidth.
Autonomous cars are far from the only IoT applications that rely on this rapid decision making. Manufacturing already incorporates IoT devices, and delays or latency could impact the processes or limit capabilities in the event of an emergency.
In security, biometrics are often used to restrict or allow access to specific areas. Without rapid data processing, there could be delays that impact speed and performance, not to mention the risks in emergent situations. These applications require ultra-low latency and high security. Hence the processing must be done at the edge. Transferring data to the cloud and back simply isn’t viable. 
Continue reading: https://www.infoworld.com/article/3663017/how-ai-is-changing-iot.html

A symbolic AI can explain business insights and assist it in achieving all of its goals.
Even as many businesses experiment with AI using rudimentary machine learning (ML) and deep learning (DL) models, a new sort of AI called symbolic AI is emerging from the lab, with the potential to transform both AI’s function and its relationship with its human overseers. There are two groups in AI history: symbolic AI and non-symbolic AI, each of which takes a distinct approach to build an intelligent system. The symbolic method tried to create an intelligent system with explainable actions based on rules and knowledge, whereas the non-symbolic method aimed to create a computational system modeled after the human brain. The ultimate objective of computer science is to create an AI system capable of thinking, logic, and learning. Most AI systems today, on the other hand, only have one of the two abilities: learning or reasoning. While symbolic approaches excel in thinking, explaining, and managing large data structures, they struggle to establish their symbols in the perceptual world.
To address problems, Symbolic AI employs a top-down approach (example: chess computer). “You’ll find what you’re searching for if you look hard enough.” Search is the symbolic AI technique. The computer’s step-by-step testing of potential solutions and confirmation of the results is referred to as “search” in this scenario. A chess computer that “imagines” millions of different future moves and combinations and then “decides” which moves have the highest probability of winning based on the results is a good illustration of this. The analogy to the human mind is obvious: everyone who has spent a significant amount of time playing a board or strategy game has at least once “played through” motions in their thoughts before reaching a choice. Neural networks can help traditional AI algorithms since they add a “human” gut feeling to them, reducing the number of movements that need to be computed. By integrating these technologies, AlphaGo was able to defeat a human in a game as complex as Go. If the computer had computed all possible movements at each step, this would not have been possible.
The difficulty of modifying ideas once they were stored in a rule’s engine was one of the key stumbling blocks of symbolic AI or GOFAI. Expert systems are monotonic, which means that the more rules you add, the more information is encoded in the system, but new rules cannot destroy previous knowledge. Monotonic is a term that refers to only one direction. Machine learning algorithms may be retrained on fresh data, they are better at recording provisional information that may be retracted later if required; for example, when data is non-stationary, they will modify their parameters depending on that new data.
Continue reading: https://www.analyticsinsight.net/why-symbolic-ai-is-extremely-critical-for-business-operations/

Since Google’s artificial intelligence (AI) subsidiary DeepMind published a paper a few weeks ago describing a generalist agent they call Gato (which can perform various tasks using the same trained model) and claimed that artificial general intelligence (AGI) can be achieved just via sheer scaling, a heated debate has ensued within the AI community. While it may seem somewhat academic, the reality is that if AGI is just around the corner, our society—including our laws, regulations, and economic models—is not ready for it.
Indeed, thanks to the same trained model, generalist agent Gato is capable of playing Atari, captioning images, chatting, or stacking blocks with a real robot arm. It can also decide, based on its context, whether to output text, join torques, button presses, or other tokens. As such, it does seem a much more versatile AI model than the popular GPT-3, DALL-E 2, PaLM, or Flamingo, which are becoming extremely good at very narrow specific tasks, such as natural language writing, language understanding, or creating images from descriptions.
This led DeepMind Scientist and University of Oxford Professor Nando de Freitas to claim that “It’s all about scale now! The Game is Over!” and argue that artificial general intelligence (AGI) can be achieved just via sheer scaling (i.e., larger models, larger training datasets, and more computing power). However, what ‘game’ is Mr. de Freitas talking about? And what is the debate all about?
The AI debate: strong vs weak AI
Before discussing the debate’s specifics and its implications for wider society, it is worth taking a step back to understand the background.
The meaning of the term ‘artificial intelligence’ has changed over the years, but in a high-level and generic way, it can be defined as the field of study of intelligent agents, which refers to any system that perceives its environment and takes actions that maximize its chance of achieving its goals. This definition purposely leaves the matter of whether the agent or machine actually ‘thinks’ out of the picture, as this has been the object of heated debate for a long time. British mathematician Alan Turing advocated back in 1950 in his famous ‘The Imitation Game’ paper that rather than considering if machines can think, we should focus on “whether or not it is possible for machinery to show intelligent behavior“.
This distinction leads to conceptually two main branches of AI: strong and weak AI. Strong AI, also known as artificial general intelligence (AGI) or general AI, is a theoretical form of AI whereby a machine would require an intelligence equal to humans. As such, it would have a self-aware consciousness that has the ability to solve problems, learn, and plan for the future. This is the most ambitious definition of AI, the ‘holy grail of AI’—but, for now, this remains purely theoretical. The approach to achieving strong AI has typically been around symbolic AI, whereby a machine forms an internal symbolic representation of the ‘world’, both physical and abstract, and therefore can apply rules or reasoning to learn further and take decisions.
While research continues in this field, it has so far had limited success in resolving real-life problems, as the internal or symbolic representations of the world quickly become unmanageable with scale.
Continue reading: https://www.verdict.co.uk/ai-agi-artificisl-general-intelligence/

You’ve brought your team together, built a product you believe in, and spent countless hours massaging your message in accelerators, meetups, and VC pitches. Now you need to tell the world about your hard work. It’s time to start pitching AI journalists. I don’t envy you.
A day in the life
I just saw your recent marketing email about your AI startup called (company name). And I think you’d be the perfect person to read this article, (person’s name)!
Here at Neural, we’ve invented a new technology that will revolutionize everything! Can I go ahead and schedule you for a 45-minute call with a C-suite executive who doesn’t specialize in the topic? Is today good for you? Why aren’t you responding? Let’s go ahead and hop on a call so we can discuss why you should hop on a call with us. No? Fine. This is the last time I’ll mention it. Your loss.
Make it stop
The above paragraphs demonstrate how most of the emails I receive from AI startups read. They’re usually pointless, almost always a bit desperate, and at least half of them contain unforced errors.
I’m an AI journalist and the editor here at Neural, TNW’s futurism and AI vertical. I usually receive somewhere between 25-50 pitches a day, the vast majority of which are from AI startups. And most of them are bad.
I try not to let a crappy pitch throw me off of a good idea. If you’re repping a startup that, for example, uses AI to find homes for orphaned puppies, I’m not going to let marketing hyperbole or a poor pitch stand in the way of a good story.
And I’m not here to eat your lunch over little mistakes such as spelling my name wrong (which happens about 10% of the time, despite the fact it’s literally in my email address). I don’t mash the ‘delete’ key when someone forgets to fill in the blanks properly on their form mail. Pobody’s nerfect, right?
No, the problems I’m talking about go much deeper than just an “oops, I missed that,” here and there.
Continue reading: https://thenextweb.com/news/how-pitch-your-startup-to-an-ai-journalist

AI or Artificial Intelligence is the ability of the machine and robots to understand what is going on around them in the world and make decisions according to what they learned in a way similar to the human brain. AI is the ability of computers to make decisions and execute tasks in a way similar to humans.
Artificial Intelligence has already made tremendous impacts and major strides in the world and it is gonna continue to do so in the upcoming future. Different fields out there have already adopted AI in their operations and the business world is not far behind as AI has also made its way into the business world.
Artificial intelligence is very crucial for businesses because of the benefits that it has. We will be looking at some of the advantages of AI for businesses and why AI is important for the business world:
Real-time Analytics
Getting real-time analytics is a huge benefit of integrating AI into your business operations. Businesses all around the world are collecting user data for various purposes and with the help of AI, businesses can get access to recall-time analytics that can help make crucial business decisions and devise a strategy accordingly. 
AI-powered apps and tools are enabling businesses out there to discover important and relevant data that help them to boost their growth. Real-time analytics are important not only for staying strong among the competition but also for growth and development. Not only physical businesses but online businesses such as Bazoocam are taking advantage of AI & real-time analytics to improve their marketing and business strategy.
Continue reading: https://www.bocaratontribune.com/bocaratonnews/2022/06/why-artificial-intelligence-is-important-for-the-business-world/

ROCKVILLE, MD, UNITED STATES, June 20, 2022 /EINPresswire.com/ -- D.C. area local Claudia Pilgrim recalls her early years in tech saying, “Being black has always been an unspoken ‘blemish’ in the field… and at the time, there weren’t any black female execs to look up to.” Undeterred by the intersectional challenge of being not only a woman but a woman of color in an overwhelmingly white and male-dominated field, she resolved to forge a path for herself. Claudia knew she wanted to be in the IT space from when she was a child. She attended a STEM high school, then went on to earn both her bachelor’s in electronic business and her master’s in applied IT in five years. Before starting her own consulting firm shortly after the birth of her first daughter in 2008, she worked for a number of Fortune 500 and Blue Chip consulting companies. She launched her current venture, Capital Consulting Group, in 2014. Capital Consulting Group provides data and analytics, data strategy, future pacing teams towards a healthy data culture, and digital marketing services to clients in three primary divisions: government, commercial and small business.
Continue reading: https://tech.einnews.com/pr_news/577624098/d-c-tech-entrepreneur-claudia-pilgrim-on-being-a-woman-of-color-in-tech

Maria Lobanova is the founder of Interstellar Digital, a PR and communications agency focusing on promoting technology and web3 projects. She is young woman, a journalist, promoter, organiser and public speaker making impacts in the blockchain industry. Maria will be telling us more about herself and her work in this interview with TechBullion.
Please tell us more about yourself, your background and what inspired you to venture into the PR and blockchain markets?
I have started my career as a journalist, I was writing for the media like GQ, Inc. magazine, Kommersant, etc. Then my friend moved to San Francisco and recommended me as the PR manager to one of the founders he met there. That was how my career in tech kick-started. 
Back in 2016 I started to attend crypto meetups in Moscow and even met Vitalik Buterin personally. That was how I got into crypto space.
After several years of working as an inhouse PR manager in blockchain startups I met my co-founder at Crypto Investment Summit in Los Angeles (organized every year by Tim Draper’s fund) and we decided to open our own PR and communication agency – Interstellar Digital.
What is Interstellar Digital, what unique services do you provide and who are your services for?
Interstellar Digital is a PR and communications agency focusing on tech and web3 industries. We help companies to get the word out there, be featured in media, be tagged by influencers, host events, reach out to the other industry players, communicate with venture funds, etc. We also help projects with building communities in social media and on platforms like Discord.
Unlike many agencies, we are not focused on only one market. We can provide PR campaign for the international markets, in Latin America, Europe, Asia, CIS region, Middle East. We are in contact with many local media and influencers, so our PR campaigns come out in different languages.
We have worked with many crypto wallets, crypto exchanges, NFT projects, SaaS companies, marketplaces, VR projects and other tech companies.
Continue reading: https://techbullion.com/women-in-web3-and-tech-interview-with-maria-lobanova-founder-interstellar-digital/