What is AI & ML: 
Artificial intelligence (AI) means a smart computer system like humans to solve complex problems. Machine learning (ML) is allowing machines to learn from available data so that they can give a precise output.
AI is used almost everywhere in facial recognition, medical, online gaming, sports, automobile, insurance, airways, defense, government and private companies. Decision making on various attributes of our daily lives is being outsourced to artificial intelligence and machine-learning algorithms as they are motivated by speed and efficiency in the decision-making process.
However, slowly, public and government are beginning to realize the dangers and complexity of programs developed using AI and ML and the need for proper checks and balances in the way such programs are used and developed.
Continue reading: https://telanganatoday.com/artificial-intelligence-and-ethics

AI-based marketing tools allow teams to derive insights from the data collated and available, and the decisions based on insights from these tools offer customized and completely personalized offerings. AI technologies allow data collection, analysis and additional observations of trends and situations that can impact and influence both the customer and the marketing team.
Benefits of AI
One of the most significant benefits that AI offers for marketing is personalization that paves the way for a much more agile response mechanism and hence an excellent customer relationship. AI tools provide a much more comprehensive range of opportunities for outreach and better customer experience. The use of AI in marketing strategies is widely about three things: intelligent segmentation using good data analytics, creating a connection based on this segmentation and then delivering customized and personalized messaging to each segment.
With support from ML and predictive analytics tools, the best target group can be identified in clear preference segments. This cut and dice activity is made extremely sharp with these three tools, and each point of preference is clearly identified for every segment and target group.
The granularity of the details that AI can provide is impressive and makes it very easy to target these segments with their personalized messaging and product. As a result, marketers can craft a unique and personal customer bond. Establishing relationships with the target market on their terms is a massive flex in B2B marketing. 
Continue reading: https://www.entrepreneur.com/article/419669

Reshma Saujani told a generation of girls that if they gained coding skills, they would be halfway to a productive, fulfilling career. In her new book, "Pay Up: The Future of Women and Work," the Girls Who Code founder admits the cards are still stacked against those girls — and only systemic change can provide true equity.
Why it matters: Saujani's new tome offers a powerful counterweight to the notion that the biggest thing standing in the way of women's success is a skills gap and that women don't have to make sacrifices to advance in their careers.

• "Having it all is a euphemism for doing it all," Saujani said in an interview. "We should throw it in the garbage."

The big picture: That's a big shift for Saujani who, as head of Girls Who Code, became the standard-bearer for the idea that the main issue facing women in tech was a skills gap.

• Saujani has had a wide-ranging career, working in both finance and city government before starting Girls Who Code in 2012. She ran unsuccessfully for a New York congressional seat in 2013, finishing third in the Democratic primary.
• Critics of Girls Who Code's skills-based approach have long argued that systemic inequalities, shaped by ingrained racism and sexism, were the dominant forces keeping women from achieving their full potential.

Continue reading: https://www.axios.com/reshma-saujani-pay-up-girls-who-code-marshall-plan-905eea59-adc6-45ea-ab7e-626b7f5e6026.html

Today’s Woman in Tech: June Sugiyama, Director of Vodafone Americas Foundation
June has been in corporate philanthropy sector for over 20 years specializing in identifying the power of technology for social good. She has led the Foundation’s transition towards Empowering Women and Girls through Technology, aligning programs with Vodafone’s expertise in technology & innovation. She also developed the Foundation’s Wireless Innovation Project, a competition designed to seek the best wireless technology to address critical global issues; it has identified several winners who are already impacting over 65 Million lives, addressing poverty, health, environment, disaster relief and technology access. Since then, she has transitioned the program to a partnership with MIT Solve.
June served on boards and as advisory capacities for several foundation and nonprofit organizations, most notably on the advisory committee of the Vodafone Group Foundation & United Nations Foundation Technology Partnership’s M Health Alliance, Foundation Center, Learning Equality, and the Frugal Innovation Lab at Santa Clara University. June’s background hails from education, specifically elementary, bilingual, and special education. She received her teaching credential & liberal studies degree from San Francisco State University, pending masters & specialist credential at University of San Francisco.
When did you become interested in technology? What first got you interested in tech?
I first became interested in technology back in 2009 when Vodafone Americas Foundation (VAF) launched its inaugural Wireless Innovation Project, an annual award launched by the Foundation to find the best technology solution to make the world a better place. I believe technology makes a huge impact in the nonprofit sector, and I credit the handful of colleagues that have not only guided me in the beginning stages of this project, but really pioneered this concept of integrating technology with social impact.
Continue reading: https://jaxenter.com/women-in-tech-sugiyama-176919.html

The blockchain can transform the internet and improve access for everyone, with blockchain domains being a key innovation. You need a good grasp of web servers’ basics to understand blockchain domains.

Domains are like Street Addresses 
Domains represent website names. They are not unlike physical street addresses, enabling users to visit websites more easily. Basically, a domain helps make internet navigation easier. The domain’s name replaces the long string of numbers that makes up an IP address. 
Elements of a Domain Name
There are two elements in a domain name – the actual name of the website and the extension (.com). Someone who wants to buy a domain name can specify the server to which the domain name points. The ICANN oversees the domain names available and keeps a relevant database. 
Issues with Domains 
Registrars manage domains, which are hosted on a central server. These act as custodians of the domains even though users can buy them. Moreover, this central hosting makes the domains vulnerable to attacks and downtime. 
Continue reading: https://techbullion.com/the-advantages-of-crypto-or-blockchain-domains/

Technological advancements lead today’s world in the digital sector and virtualize every basic and daily need into a network accessible by devices in your hand. Yuan Pay Group trading Site can help you get a deep analysis of bitcoin trading. Stepping forward in this direction came cryptocurrency, which becomes the virtual currency alternative that will make finances and global connections easier and benefit the consumers with their superior features.
Behind these seemingly virtual tokens is a series of data stored and transferred through a Blockchain system. But this technology artifact did not remain limited to the boundaries of the crypto market as many innovators and opportunists used this technology in different fields and market sectors, amplifying their performance.
Witnessing the potential of Blockchain in working and its scales of efficiency and accuracy become the reason for its staggering expansions in the market. But what makes the Blockchain so effective compared to any other system? How did it benefit many industrial and other major market sectors, and how can you benefit from blockchain technology?
They are overviewing Blockchain and its structure!
By definition, Blockchain is an immutable ledger system where data is stored and maintained in a systematic and interconnected format. The feature that made Blockchain superior to other systems is its storage algorithms. Information in the blockchain system is contained in the form of blocks which are data units of megabytes each, and these blocks are connected in a complex interconnected system.
Continue reading: https://amicohoops.net/how-is-blockchain-evolving-into-the-modern-market/

Have you heard of MimbleWimble? It is a new blockchain technology taking the world by storm. What is it exactly? And why is everyone so excited about it? In this guide, we will discuss all things about MimbleWimble.
MimbleWimble blockchain is a new and upcoming blockchain technology with many exciting features. It is designed to be scalable and privacy-oriented. One of the key features of MimbleWimble is its scalability. The blockchain can handle a large number of transactions without any problems. This makes it ideal for use in commercial applications.
MimbleWimble also has a number of other features that make it a promising technology. It has the potential to revolutionize the way we use blockchain technology. We can expect to see more applications of MimbleWimble in the future.
Origin of MimbleWimble
The history of MimbleWimble can be traced back to July 2016, when an anonymous author posted a paper proposing the protocol. The author is a cryptographer or Bitcoin expert who goes by the name “Tom Elvis Jedusor,” which is the French name for Voldemort from Harry Potter.
While there is no confirmation that Tom Elvis Jedusor is actually the creator of MimbleWimble, the proposal shares the same characteristics as the Harry Potter series villain. For example, both are incredibly private and have a knack for avoiding detection. It is also possible that Jedusor is simply a fan of the Harry Potter series. Therefore, he decided to name his proposal after one of the villains, but there is no way to know for sure.
Continue reading: https://www.coinspeaker.com/guides/what-is-mimblewimble-blockchain/

We recently released the third and final version of the Koinos testnet, which is why I want to talk about something few projects like to talk about: Building blockchains is development hell. In this article, I’ll explain why and how other developers can avoid getting stuck in it.
At first blush, building a blockchain doesn’t sound so hard. A blockchain is just a combination of well-established cryptographic primitives, which, when properly implemented, allow for the construction of a ledger containing a verifiable history of transactions by a network. The more decentralized the network, the more trustworthy the history.
Blockchain “frameworks”
In an effort to make building new blockchains easier, other teams have released blockchain “frameworks” that, in theory, should eliminate the need for developers to worry about building the blockchain itself so that they can focus on whatever unique features they want to build into the blockchain. Cosmos, EOSIO and Polkadot’s Substrate are examples of such blockchain frameworks.
When our team stopped working on Steem (the world’s first fee-less blockchain), our original intention was to leverage an existing blockchain framework to build a blockchain designed to be as accessible as possible. We had spent four years refining Steem’s fee-less design and figured that, by porting that solution into an existing blockchain framework, we could deliver a blockchain that was far more accessible than any other blockchain in relatively little time.
Continue reading: https://cointelegraph.com/news/inside-the-blockchain-developers-mind-how-to-avoid-development-hell

A recent experience with managing the tenth anniversary version of a technical conference (www.iccve2022.org) triggered a process of reflection on the last decade of artificial intelligence. The first article in the series, Reflections On a Decade Of AI (forbes.com), explored the historical background of AI technology, the current successes of Machine Learning (ML) methods, and the contrast with conventional algorithmic design.
The predecessor article, Reflections On a Decade of AI (Part 2) (forbes.com), explored the historical approach taken by safety focused designs for safety validation with a deep dive for airborne systems. As shown in the figure below, initially the use of electronics hardware (HW Paradigm) injected a powerful new capability for system designers, and accompanying safety methodologies were developed to harness the power of electronics. In the last 30 years, software has become available as a powerful new capability, and again safety methodologies had to evolve. Today, we are the starting point of the AI Paradigm, and leveraging this powerful tool requires progress on the safety methodology front.
What exactly is the AI Paradigm ?
The AI Paradigm allows the use of machine learning to build intelligence from data. In the case of autonomy, this data is often from various sensor domains. With these capabilities, sound can be interpreted as language (NLP), video can lead to object recognition (Vision), and there are many more applications. This AI paradigm is built on top of another abstraction called the AI model. Various terms such as Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Transformer and more are used to describe these models. Fundamentally, these models are containers which can map complex functional relationships from inputs to outputs.
In the AI Paradigm, data streams are used to “train” the underlying model. The objective is to build an algorithm which reflects some underlying relationship, and use that relationship for data streams beyond the training set.
Continue reading: https://www.forbes.com/sites/rahulrazdan/2022/03/20/reflections-on-a-decade-of-ai-part-3/?sh=6ba193fc21aa

With an annual growth rate of 44%, the market for AI and machine learning is drawing continued interest from business leaders across every industry. With some projections estimating that AI will boost the GDP of some local economies by 26% by 2030, it’s easy to see the rationale for the investment and hype.
Among AI researchers and data scientists, one of the major steps in ensuring AI delivers on the promise of enhanced growth and productivity is through expanding the range and capabilities of models available for organizations to use. And top of the agenda is the development, training and deployment of Deep Generative Models (DGMs) — which I consider to be some of the most exciting models set for use in industry. But why?
What are DGMs?
You’ve likely already seen the results of a DGM in action — they’re actually the same type of AI models that produce deepfakes or impressionistic art. DGMs have long excited academics and researchers in computer labs, owing to the fact that they bring together two very important techniques that represent the confluence of deep learning and probabilistic modeling: the generative model paradigm and neural networks.
A generative model is one of two major categories of AI models and, as its name suggests, it is a model that can take a dataset and generate new data points based on the input it’s received so far. This contrasts with the more commonly used — and far easier to develop — discriminative models, which look at a data point in a dataset and then label or classify it. 
Continue reading: https://venturebeat.com/2022/03/20/deep-generative-models-could-offer-the-most-promising-developments-in-ai/

When we think of artificial intelligence, we usually think of the humanoid robots from movies portrayed as the villains who take over the world. But, in reality, we don't yet have robots that can surpass human intelligence.
That said, AI has already taken over our lives. Your Smart Home devices, the facial ID recognition in your phone, the chatbots you interact with while shopping online, your music, video, and shopping recommendations— are all powered by AI.
What Is AI (Artificial Intelligence)?
In simple words, AI is any program that can do 'intelligent' tasks similar to a human. But it's not just simple software.
How Does AI Learn?
In a software program, your output solely depends on what the code says. For example, let's say you've written a code to identify cats. Your code tells that anything with four legs, a tail, and fur is a cat.
It will identify every furry animal as a cat, even if it's seeing a dog or tiger or a polar bear. The only way to correct it is to change the code to include specific characteristics of a cat, like size, shape, color, and skin pattern.
In the case of AI, the machine learning experts train the algorithm to correct itself. They key in a large amount of data (in our case, animal photos), reward the program every time it identifies the cat correctly, and punish if it makes a mistake.
When you train it repeatedly with vast amounts of data, the algorithm will eventually learn to identify the cat. What's more, it will generate patterns from the data and identify other animals too. This is called Machine Learning.
Deep Learning takes machine learning to the next level with a lesser need for human intervention. With the help of complex neural networks, each algorithm can learn and change itself. Artificial neural networks are algorithms modeled after neurons in the human brain. The algorithms run on powerful computers to connect, interact, and learn from each other, just like our neurons.
Continue reading: https://www.makeuseof.com/start-a-career-in-ai/

There’s no question that the gender gap in the technology industry continues to be a significant and extensively discussed topic. While females make up almost half, or 47%, of the U.S. workforce, females in tech hold less than 28% of the leadership positions. Yet data suggests that companies with female leadership fare far better, so what can be done to encourage more women to join the technology industry, and what is discouraging them?
As the world continues to adjust to the Covid-19 pandemic’s shifting new norm, tech companies and employees on all fronts have been spread thin. Burnout has become less of a popular term to use and more of a reality. On the bright side, many companies have learned what’s of the utmost importance throughout the pandemic—to help their employees avoid burnout—and to more recently help support working mothers succeed in their roles. Multiple surveys show that mothers have taken on more responsibility during the pandemic due to constant lockdowns and closures of daycare centers. According to a WIA Report, “Compared to 14% of men, 44% of women reported being the only one in the household providing care.”
Now more than ever, tech companies must support women to keep their roles rather than quit them due to hurdles like family pressure, as women tend to support more diversity and inclusion initiatives, as well as mentor their teams, in comparison to their counterparts in their roles, creating a better culture and work environment for all. Recognizing women’s contributions to the tech workforce and recognizing what they need to succeed will ultimately make companies and their employees as a whole the winners.
One reason it’s important to champion women in the workforce is that they tend to champion DEI Initiatives in comparison to males. An important reason women should be encouraged to join the tech industry is that by nature, they tend to support and pick up roles outside of the job duties, increasing their value to the company they work for and also improving culture.
According to a McKinsey & Company annual study, Women in the Workplace 2021, "Women leaders are up to twice as likely to spend substantial time on DEI work that falls outside their formal job responsibilities." This includes additional responsibilities like supporting employee resource groups, mentoring females and organizing charitable giving programs and volunteer efforts that support the company’s mission. The importance of supporting DEI initiatives helps everyone within the organization to show up as their true selves, without judgment, resulting in increased productivity and a happier workplace.
Overlooking DEI efforts can have serious implications for companies. According to the Women in the Workplace study, “Companies see the value of women leaders’ contributions. Almost 70% of companies say that the work employees do to promote DEI is very or extremely critical, and an even greater number say this is true of the work managers do to support employee well-being. But less than a quarter of companies are recognizing this work to a substantial extent in formal evaluations like performance reviews.”
Yet knowing that a female's presence in tech is important and necessary to a company’s success is just the tip of the iceberg—getting females interested in STEM (science, technology, engineering and mathematics) early in life is another. Female students tend to have more fear and are turned off to math and science early on versus male students. While women are gaining interest in STEM careers, there’s still work to be done. Men make up about 73% of all STEM workers in the U.S. The opportunity to excite young women early in life will encourage and help to keep them interested in pursuing a career in tech. Telling women they’re enough, and also supporting them to accept promotions is key to keeping them in the industry.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/03/17/why-tech-still-needs-more-female-leaders/?sh=79acf4fd7c8f

There’s no question that the gender gap in the technology industry continues to be a significant and extensively discussed topic. While females make up almost half, or 47%, of the U.S. workforce, females in tech hold less than 28% of the leadership positions. Yet data suggests that companies with female leadership fare far better, so what can be done to encourage more women to join the technology industry, and what is discouraging them?
As the world continues to adjust to the Covid-19 pandemic’s shifting new norm, tech companies and employees on all fronts have been spread thin. Burnout has become less of a popular term to use and more of a reality. On the bright side, many companies have learned what’s of the utmost importance throughout the pandemic—to help their employees avoid burnout—and to more recently help support working mothers succeed in their roles. Multiple surveys show that mothers have taken on more responsibility during the pandemic due to constant lockdowns and closures of daycare centers. According to a WIA Report, “Compared to 14% of men, 44% of women reported being the only one in the household providing care.”
Now more than ever, tech companies must support women to keep their roles rather than quit them due to hurdles like family pressure, as women tend to support more diversity and inclusion initiatives, as well as mentor their teams, in comparison to their counterparts in their roles, creating a better culture and work environment for all. Recognizing women’s contributions to the tech workforce and recognizing what they need to succeed will ultimately make companies and their employees as a whole the winners.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/03/17/why-tech-still-needs-more-female-leaders/?sh=419642057c8f

Small-time sports fans could get a piece of big-time teams with the help of blockchain technology, according to baseball-player-turned-businessman Alex Rodriguez.
“With blockchain, I think millions of people around the world will have an opportunity to own a sports team, if not a small stake in one,” Rodriguez said at the Futures Industry Association conference in Boca Raton, Florida, Thursday. “We don’t have that opportunity, but tomorrow I think we will,” said the former Major League Baseball star also known as “A-Rod.” 
Sports teams have been embracing the digital asset craze, forming partnerships with crypto companies and issuing “fan tokens” that give holders a variety of perks, such as voting on their team’s jersey color and participating in raffles.
Continue reading: https://www.bloomberg.com/news/articles/2022-03-17/a-rod-says-blockchain-can-bring-sports-team-ownership-to-masses

Earlier, it was required to keep a massive database of papers to record everything. But, with the evolution of technology, new things came into words like cryptocurrencies and Blockchain.
Yes, Blockchain can completely change the things we do when storing and sending data to someone else. However, the use of Blockchain is not limited. You need to understand that you can also use Blockchain technology in business organizations if you have one. The global economy can get enormous benefits from Blockchain technology, but it is not doing so because it does not want to embrace the concept of private crypto coins. However, if you are a business owner, you can undoubtedly benefit from using Blockchain technology in your businesses. Check this app to learn more about bitcoin trading.
There is a very long list of advantages that anyone can get through Blockchain technology, but it is impossible to list them in one place. Therefore, we will mention only the top ones here so that you can get a clear understanding of how your business will benefit from blockchain technology. Specific points of advantages are mentioned below for your understanding.
Continue reading: https://www.warrington-worldwide.co.uk/2022/03/18/five-benefits-blockchain-to-businesses/

While cryptocurrencies and NFTs tend to dominate the headlines when it comes to digital currencies and their associated technologies, some of the most impactful innovation is in the Blockchain Technology market, which is expected to enjoy a compound annual growth rate (CAGR) of 86% from 2022 to 2030, according to Grand View Research. As companies contend with supply chain challenges and margin pressures from inflation and rising labor costs, Decentralized Ledger Technologies (DLT) are reinventing operations, reducing costs and validating sourcing while improving turnaround times and customer service. In this week’s World Reimagined, we will discuss what companies are doing with this technology and what it could mean for consumers and investors. 
According to Grand View Research’s latest report on blockchain, the “infrastructure and protocol” segment dominated the market in 2021 and is expected to enjoy significant growth going forward. While much of the headlines when it comes to this space have been about Beeple bubbles and the like, the technology that powers NFTs and digital currency is completely upending how companies operate and interact. Over the past year, we have seen Blockchain Technology and the broader Decentralized Ledger Technologies enable revolutionary changes across a wide range of industries. Today, we will discuss its application in supply chain management, another topic that has been in the headlines for being a colossal headache, driven by pandemic restrictions and now Russia’s invasion of Ukraine.
First, let’s define the problem
Supply chain management is notoriously complex, often involving multiple information systems inter- and intracompany that were each built as standalone platforms and as such, cannot communicate with each other, requiring manual reconciliations, which are time-consuming and labor-intensive. These are necessary as there are often significant data disparities involving things like purchase orders, bills of lading, invoicing, etc. Don’t even get us started on the complexity of simply knowing where something is at any point in time or where an item has originated, or if there is some unexpected delay or damage to a shipment. 
Continue reading: https://www.nasdaq.com/articles/blockchain-technology-for-supply-chains%3A-who-is-using-it-and-how

Heather Durgin is chief of staff at the Department of Defense’s Joint Artificial Intelligence Center (JAIC), a division within the Pentagon’s sprawling operation tasked with furthering the US military’s understanding and use of artificial intelligence. The JAIC was established in 2018, and Durgin has been in charge of beefing up the department’s personnel since May 2021, which means scouring the labor market and competing for talent with the foremost names in the tech industry.
Compared with private-sector tech companies, the JAIC is an outlier in the AI space, which, according to Durgin, means recruitment efforts have to be creative to stay competitive. HR Brew spoke to Durgin about her recruitment strategy and why AI might not be a substitute for human connections in the hunt for promising hires.
What is it you do at the Joint Artificial Intelligence Center? I do a little bit of everything. So as the chief of staff, I have a couple of different departments that work for me, that are all centered on the support services for the workforce. So the people who are adding value to the organization that are accomplishing our mission. And so security reports to me, and in security, we’re talking about physical security, background security, information security, and then facilities also reports to me. We’re actually in the process of building out a new facility. And actually, probably later on today, I will file paperwork to expand our current footprint in the building that we’re in. Because, as you know, artificial intelligence is a huge, huge growth area. I also have human capital, which reports to me as well.
Continue reading: https://www.morningbrew.com/hr/stories/2022/03/17/how-the-defense-department-s-ai-center-recruits-top-tech-talent-without-top-salary-offers

With the market value of Artificial Intelligence in fintech estimated to hit $26 billion, the computational arms race is on. And that’s just in fintech where the latest innovations are in rapid customer evaluation to improve access to finance.
South African data science specialists NGA has been a market leader in risk assessment through its RiskSecure anti-money laundering solution for the finance industry, making company CEO Mark Germishuys a great source of information for AI-related decision making.
“When NGA first started playing with data, we made a decision to ensure that our models used ethical AI,” he explains.
“We started small, so we know that most SMMEs can’t afford to do big data research. That’s why we built one of the biggest AI services on the continent.”
Companies as big as Goldman Sachs, Google and Amazon have faced financial and reputational damage when obvious bias was discovered in the AI tools used for credit allocation and hiring.
Continue reading: https://ventureburn.com/2022/03/how-to-choose-an-ai-partner-for-your-business/

As the world continues to react to both COVID and geopolitics, investments in AI for security are likely to benefit from these shifts.
Successful AI investments generate ROI by first addressing concrete problems and then expanding to establish more cohesive security frameworks and partnerships. Therefore, IT security is a natural place for these investments.
Returns on investment for AI
Calculating ROI for AI is like calculating it in other areas. There are generally two areas for ROI: direct investment returns, or hard dollars, and indirect investment returns, or soft dollars. For a given dollar investment, look at how long it takes for a company to "break even" and supersede that amount in either revenue (hard dollars) or some other added value that would be difficult to quantify financially.
Companies using AI tools can show reports, usually measured in months, that show the time and money they saved in finding and resolving security issues -- therefore proving that these tools add value. Added "soft benefits," such as avoiding downtime and reputation damage, are helpful but usually not the most compelling reasons for investments.
Investors, however, look at AI ROI differently than the enterprise. In their case, they invest capital with a plan to receive a multiple of that investment over a fixed period, typically three to five years. Given the rapid growth of the IT security market, the investment community will likely see AI security investments achieving their ROI targets.
Continue reading: https://www.techtarget.com/searchenterpriseai/tip/How-companies-can-achieve-AI-ROI

Seeing farmers out standing in their fields could become a thing of the past.
Some producers are turning to drones to keep an eye on their operations.
“There’s a number of different things you can do with it,” Landview Drones’ head instructor Robin Harrison said.
“Most of the farmers will use them to monitor their crops in different senses, to use for crop health and yield potential and things like that. Also cattle farmers will use them to monitor their cattle, check calving pens.”
Harrison is teaching courses across Alberta.
At the Ag Drone School, participants learn about drones, their potential uses on the farm, Canadian aviation regulations and also get some air time.
Continue reading and watch the video: https://globalnews.ca/news/8689226/farmers-drones-fields-technology/

Zena Drone has helped revolutionize the burgeoning hemp industry.  In this guest post, Leah Jacobe outlines five ways that intelligent drones in the agriculture sector are helping growers to meet the demands of global food production.
The following is a guest post by Leah Jacobe, Media Team Leader at Zena Drone, a leading producer of small AI-driven commercial drones revolutionizing the hemp industry.  DRONELIFE neither accepts nor makes payments for guest posts.
The increasing demand for global food supply has led the agriculture sector to seek methods to speed up food source production. Regular monitoring, tracking, and surveillance of food plantations and livestock tracking are critical in ensuring consistent yield harvest outcomes.  Technological innovation such as unmanned aerial vehicles (UAV) or drones is vital in securing the global food supply.
Drones are seeing more use in several industries, especially in agribusiness, because of their capability to survey and monitor vast areas quickly. Not only do they save time and resources, but they also optimize many processes and even ensure workplace safety.
Five Uses of Drones in the Agriculture Sector 
No drone technology is one size fits all, but some drones have multiple uses across industries. There are drones for mission-critical purposes like in the military. There are entertainment drones for filming movies or following news stories. And then there are drones for commercial and personal use.
Multi-faceted drone applications are beneficial to the modern world, especially in securing food sources worldwide.
Continue reading: https://dronelife.com/2022/03/16/drones-in-the-agriculture-sector-five-ways-intelligent-uas-are-helping-growers-meet-demand/

In any industry, biases that are based on gender can make people think that a certain gender isn’t as qualified or good at a job. Stereotypical thoughts lead people to believe a specific gender lacks the skills or qualities that the job requires. Intelligence, compassion, communication, and leadership skills are all qualities that can be downplayed, thanks to gender bias.
While the tech field in particular has been called out for its gender bias, it has also impacted the number of women choosing entrepreneurship. Only four of India’s 96 unicorns are led by women. Even with Falguni Nayar’s startup Nykaa showcasing a stellar IPO opening, women-led organizations still have a long way to go. According to YourStory Research, the number of new startups founded by women has dropped by 66.67 percent from 2018.
Speaking about breaking the bias and giving women leaders in tech more opportunities to be heard, four exceptional leaders from the tech ecosystem - Ila Agarwal, AVP, Engineering, Urban Company; Deepa Parikh, Head of Solutions Engineering, Akamai Technologies; Anand Narayanan, Chief Product Officer, Simplilearn; and Rajini Sree Rajan, Head of Technology, 21K School, shared their first-hand perspectives on how to close the diversity gap in tech and their own tech playbooks for their organizations. Here are the key takeaways from the conversation.
Busting myths about women in tech
“Women need to have more faith in themselves,” said Deepa, talking about the most significant barriers to female leadership. She drew from the famous Hewlett Packard internal report, which revealed that men apply for a job when they meet only 60 percent of the qualifications, but women apply only if they meet 100 percent of them. It’s a stat that’s often invoked as evidence that women need more confidence.
Continue reading: https://yourstory.com/herstory/2022/03/women-tech-companies-try-new-gender-equality-playbook/amp

Marking the "first woman" to do something shouldn't really be cause for celebration in 2022, says Meena Harris. But that doesn't mean we shouldn't be talking up phenomenal women doing remarkable things.
That's the story behind In Her Element, a 30-minute documentary created by Reese Witherspoon's Hello Sunshine media company and Hewlett Packard Enterprise that highlights the accomplishments of three women who've succeeded, in part, because of their ability to leverage technology. It's directed by Emmy winner Kate Kunath.
"What [the film] is about is showing that, making it visible, elevating it on screen and really diving into their individual stories. And hopefully inspiring both women and the next generation of girls to think about opportunities and pursuing their passions through technology," says Harris, a lawyer, author and activist who serves as narrator, interviewer and executive producer.
Even with efforts to increase diversity and inclusion, the technology industry remains a male-dominated field. At large global technology firms, women account for about 33% of the workforce in 2022, according to Deloitte Global. Women make up just 28% of the workforce in science, technology, math and engineering, with parents and teachers continuing to underestimate girls' math abilities starting as early as preschool, according to the American Association of University Women. Women continue to cite pay inequity, inflexible work hours and a lack of equity in opportunities and professional development. The pandemic has also exacerbated the challenges women face, prompting more women than men to exit jobs across all industries.
Continue reading: https://www.cnet.com/culture/entertainment/how-three-women-use-tech-to-get-ahead-in-male-dominated-industries/

Today’s Woman in Tech: Mey Beisaron, infrastructure developer at Forter
When she is not spending her weekends at Hackathons she talks at tech conferences about Functional Programming, Clojure, game development, oraAlgorithms. (She has talked at more than 12 tech conferences over the past year). Mey loves to develop games and learn languages such as Russian, Italian & Scala.
Mey is also a sworn Star Wars fan.
May the force be with you.
When did you become interested in technology? What first got you interested in tech?
Taking the wrong course in college is how I fell in love with coding.
In my first semester in college, I registered myself to the wrong course and ended up going to a C language course that was part of the Software Engineering curriculum, although I was in Material Engineering. It was love at first sight although I had NO background in coding. By the end of that semester, I joined Software Engineering and graduated 4.5 years later.
Let’s talk about your background. How did you end up in your career path? What obstacles did you have to overcome?
Landing my first job was the hardest step.
During technical job interviews, I got comments like “You’re too funny for a programmer “ or “Why don’t you go work in styling or teach something you’re so colorful and chatty.”
I thought these comments were because I wore the “wrong” outfit so I bought a pair of black pants, a black t-shirt and fake glasses. (I even posted it on my Instagram page).
That did not help. Eventually, I landed my first job when I interviewed wearing a pink dress. What actually helped was being 100% ready for the technical questions part and not giving up.
Continue reading: https://jaxenter.com/women-in-tech-beisaron-176855.html

“Trust, but verify” was the signature slogan President Ronald Reagan used when discussing U.S. relations with the Soviet Union during the 80s. And interestingly, it was a phrase he adapted from the Russian proverb “doveryai, no proveryai.” Now, some 35 years later, the phrase has been reimagined into a calling card for the blockchain community. But instead, we say, “don’t be evil, can’t be evil.”
Simple in its form but complex in its meaning, those words highlight the differences between financial transactions of the past and financial transactions of today. That’s because blockchain offers organizations a way to move from a don’t be evil approach to a can’t be evil approach. A don’t be evil approach required financial institutions to both trust and verify. But with a can’t be evil approach, all that’s needed is verification.    
Let’s face it; financial infrastructure is prone to misuse. But blockchain offers organizations greater control and security thanks to a built-in audit trail, powerful authentication methodologies and transparency.
Auditability
One of the most powerful features that blockchain offers the payments industry is built-in auditability. When something gets put into a blockchain, it’s what’s called immutable. It cannot be changed, forged or deleted. And that’s extremely important considering that a lot of fraud happens when bad actors simply change financial records. Case in point, the Enron scandal of 2001.
Continue reading: https://www.paymentsjournal.com/three-ways-blockchain-makes-payments-more-secure/