The email has always been an integral part of digital marketing because of its affordability and direct approach. The 21st century is witnessing a trend where systems are automated with the help of artificial intelligence, and that includes email marketing. Aquibur Rahman, CEO of Mailmodo, explores the role and scope of AI in email marketing.
AI in email marketing can have several unique benefits, such as higher conversion rates, personalization, automation, and data analysis. The use case of AI in email marketing is rapidly growing among email marketers. This post will help you understand the present scope and potential applications of AI in email marketing.
How Has AI Started Entering Email Marketing?
Artificial intelligence has streamlined the entire process of email marketing to minimize the fault lines and maximize returns. Here, AI can be used as an umbrella term for varied technologies that allow machines to understand, adapt and process information.
Continue reading: https://www.toolbox.com/tech/artificial-intelligence/guest-article/future-of-email-marketing-can-ai-write-emails/

let’s check out here how AI is set to shape the future of business and marketing?
As the well-known proverb goes, “Necessity is the mother of invention.” The last few years have seen a rapid advancement in artificial intelligence (AI), but how is AI set to shape the future of business and marketing?
Do We Need AI in Business?
Many benefits of AI in business have already been demonstrated. For example, it provides real-time data analytics allowing for better and faster decision making, better customer experience, and most importantly, increasing profits. Some emerging trends of AI in business that are already becoming the norm are digital marketing automated tasks and smart devices, just to name a few.
Despite the massive success of AI, there remains untapped potential, in part due to the discomfort of business leaders and employees with the adoption of new technologies. Whether in our personal lives or business practices, how we embrace technology has a lot to do with our technological age. A recent ExpressVPN quiz that calculates your technological age was based on real-world statistics and explores how different demographics engage with devices and technology to varying degrees. Whatever your technological age, embracing change needs to happen both on an individual and organizational level for the successful and natural progression of utilizing AI in our business practices.
Continue reading: https://www.analyticsinsight.net/how-ai-will-shape-the-future-of-business-marketing/

You may have heard news about the threat of Russian cyberattacks against the United States in retaliation for sanctions. Perhaps you are part of an organization that was a victim of a ransomware attack, or maybe you’ve had your account hacked recently. (To learn more about U.S. cyber defenders, check out CISA director Jen Easterly’s recent interview on “60 Minutes.”)
Mari Galloway helps break down these issues. Galloway is the CEO and a founding board member for the Women’s Society of Cyberjutsu (WSC), one of the fastest growing 501c3 nonprofit cybersecurity communities dedicated to bringing more women and girls to cyber. WSC provides its members with the resources and support required to enter and advance as a cybersecurity professional.   
A resident of Las Vegas and a self-described security geek, Galloway has over a decade of experience in cybersecurity and information technology. Her expertise spans the design of company and government networks, advising clients on security risk, and working with clients after a breach to identify the attackers, recover data and fix the holes. She also works to help get more people interested in and prepared for a career in cybersecurity by writing in blogs, mentoring and serving as an adjunct professor at the University of Maryland. She’s also the CEO of A&M Strategies, which helps clients understand and visualize their business strategy and growth.
Continue reading: https://msmagazine.com/2022/04/27/cybersecurity-jobs-career-mari-galloway-women-technology-stem/

I first started my advocacy efforts for women in tech in 2009 by raising my hand at an IEEE International Microwave Symposium (IMS) steering committee meeting and requesting to learn more about the society’s Women in Microwave Engineering (WIM) efforts. After learning that prior WIM sessions were social events attended by only a handful of folks (mostly male, I was told) in a small, windowless conference room after show hours, I decided it was time to get more involved to bring a spotlight to this event and try to inspire and empower other women colleagues within the society. 
Little did I realize that my first steps into learning more about WIM back in 2009 would turn into more than a decade of advocacy that would take me around the world, making new connections in Japan, China, Israel, and India (to mention just a few) and helping to broaden WIM into the vital organization it is today. 
Flash forward to the current day, and I’ve been with Cadence now for a little more than two years. By the time I joined the company by way of a merger and acquisition, my IEEE actions were already ahead of me and had resulted in an early outreach by Cadence’s Women in Tech (WIT) affinity group to get involved. And while I’ve been spearheading our networking activities within the company for the past two years and doing anything and everything I can in a virtual way, from fun online social events, to zoom keynote presentations from our executives (e.g., president and CEO Anirudh Devgan), to webinars with inspiration and insight from noteworthy women internally as well as externally, I am looking forward to networking in person before too long. 
Continue reading: https://alltogether.swe.org/2022/04/advocating-for-women-in-tech/

State governments Karnataka, Haryana, Punjab, Tamil Nadu and Madhya Pradesh are working with drone manufacturing companies, farmer producers organizations and state agriculture universities to roll out drones that can be used for fertilizer spraying in the next two-three months, said multiple sources close to the development.
“State governments are looking to take advantage of the 100 percent subsidy offered by the central government for the purchase of drones for agricultural utilizations and are looking to improve efficiency and output by using drones,” said a senior government official.
The testing of drones to be used for spraying fertilizers in Uttar Pradesh, Punjab and Haryana has already been completed and farmer producer organizations in these states are expected to start using the drones very soon, he added.
“Multiple models are being considered for the rollout of drones to be used for farmers, and state government are working with state universities as well to help familiarize farmers with the use of drones,” said another government official.
He said that drones will be bought by either state agriculture universities or Indian Council of Agricultural Research (ICAR) institutes across the country, who will then work with farmers to use drones on their fields for a fee.
Continue reading: https://www.moneycontrol.com/news/business/five-states-plan-to-roll-out-drones-for-fertiliser-usage-in-next-2-3-months-sources-8420641.html

There can be little doubt that the FAA is paving the way for a framework governing the widespread operation of commercial drones in the U.S. In advance of a definitive ruling on whether commercial drones can operate beyond visual line of sight (BVLOS), the FAA has been busily granting case-by-case permission to drone operators for exactly that.
One recent example, just announced, drone company American Robotics has added seven additional sites of operation approved by the FAA for its automated BVLOS drone technology, the Scout System. American Robotics has 10 operational sights across eight U.S. states.
"American Robotics is excited to have seven additional sites of operation approved by the FAA. As we continue to build upon our offerings, we look forward to providing current and future customers with the tools needed to unlock scalable, autonomous drone operations that will help propel their businesses and critical industries forward," says Reese Mozer, co-founder and CEO of American Robotics. "Not only is this a milestone for American Robotics, but it is also another signal that we have reached an inflection point in commercial drone operations in the United States, and American Robotics is proud to be at the forefront of these industry advancements."
Continue reading: https://www.zdnet.com/article/faa-is-giving-commercial-drone-operators-the-green-light/

• Marine researchers are increasingly turning to aerial drones for a new view of the ocean, given that their resolution is much finer than that of satellites.
• While drones are used in all kinds of ways in marine studies, researchers say drones can be equipped with special sensors to track small changes in the ocean’s movements that drive much of marine life.
• Drones could be especially helpful in finding and tracking local and dangerous algae blooms, for example.
• Researchers remain hindered by regulations and cost, but that hasn’t stopped them from using drones to increase our knowledge of our blue planet.

How do you keep an eye on the expansive ocean? You could hop on a boat and get really close to the water. You could do it from tens of thousands of kilometers away using satellites that orbit our planet each day. Or you could use a new tool: aerial drones.
In fact, drones, which fly at much lower heights than satellites but higher than sea-based surveys, offer perspectives that can fill in key observational blind spots in the ocean, according to a new review published in Frontiers in Ecology and the Environment.
“From a ship, you’re just moving along and taking one sample after another. So they’re kind of point samples,” said Patrick Gray, the study’s lead author and a Ph.D. student at the Duke University Marine Lab in North Carolina, U.S.
Continue reading: https://news.mongabay.com/2022/04/where-satellites-come-up-short-drones-can-fill-in-a-picture-of-our-oceans/

Web3, a decentralized online ecosystem that is based on the blockchain, has been a topic of interest among crypto enthusiasts, tech experts, and many other individuals. The early development of applications including cryptocurrencies and Non-Fungible Tokens (NFTs) have already been used to the advantage of cybercriminals with $14 billion worth of cryptos stolen in 2021. Even though blockchain is hailed as one of the most secured technologies on the internet, scammers or threat actors always find their way out, enticing targets to click on a malicious link. Before enthusiasts get excited about Web3, they should first familiarize themselves with some of the successful phishing scams recently launched.
Seed phrase phishing
Seed phrases are keys that unlock access to crypto accounts. Since these phrases are secret keys, threat actors mostly deceive victims into exposing them. Recently, scammers used Google ads to direct victims to a phishing website or a fake website designed to look like the original one. Victims were then asked to enter their recovery phrase as part of the account registration or recovery process. The phrases were as expected, exposed, and used to access the accounts of the victims to transfer all their funds.
Continue reading: https://www.crypto-news-flash.com/excited-about-web3-beware-of-these-crypto-and-blockchain-phishing-methods/

In the beginning, Tim Berners-Lee created the world wide web. It was basic by modern standards, composed of static pages and limited interaction. It was on this foundation that the modern tech giants – Google, Facebook, Amazon and Apple – created something new. Web2 is characterized by dynamic, mobile-first, digital services and social media, underpinned by large platforms, and is what we’re all familiar with.
Now, a new generation may be imminent, and it has captured the imaginations of the Silicon Valley chattering class – a new technological paradigm that has been termed ‘Web3’ by Gavin Wood, a co-founder of the Ethereum cryptocurrency. What exactly Web3 is supposed to be, though, is surprisingly hard to define.
“You always have the feeling you don't really know what it is because even the people who claim to do it can't often explain what it is that they're doing and why they do it,” says Jurgen Geuter, a sociotechnologist who studies the intersection of technology and politics.
Awkwardly then, it isn’t easy to explain what Web3 means, as it has become a catch-all term for a bucket of futuristic technologies, and some of the ideas associated with it intermingle with similarly vague high-concept ideas such as the metaverse.
Continue reading: https://www.itpro.co.uk/infrastructure/network-internet/367513/what-is-web3

The corporate travel industry is always exposed to disruption: personal travel disruptions like canceled flights, strategic disruptions like mergers and acquisitions, and existential disruptions like, "Do I really need to take this trip when I could Zoom it instead?" 
At times it seems as if almost everything about our industry and the supporting ecosystem is in a state of flux, not the least due to the pandemic and war in Europe. 
At other times, we are transfixed by our own processes. Many parts of corporate travel appear to have an invisibility cloak shielding them from the winds of change, a license to continue with business as usual—or variations thereof—despite what is happening in the world. 
How business travel is bought and sold is one area where there are ongoing attempts to do things differently, to disrupt the established order. Direct connects, facilitated bookings, New Distribution Capability, management fees over commissions: the list of innovations and paradigm shifts is as long as it is misleading. Incentives and overrides framed by the legacy norms of commercial contracting still dominate a huge slice of the corporate travel industry. 
Continue reading: https://www.businesstravelnews.com/Distribution/Demystifying-Blockchain-Should-Transform-Corp-Travel

For those looking to evaluate the value of blockchain technology to their business, there are four key concepts to understand.
Over the last year, media coverage of and general public interest in cryptocurrencies, blockchains and NFTs has ramped up significantly. As of March 22, the global market cap of all cryptocurrencies stands above $1.9 trillion, and El Salvador now recognizes bitcoin as legal tender. Blockchain, the technology underpinning these developments, has seen growth in institutional adoption, with 20% of enterprises already using or planning to use the technology in their operations. Venture capital funding continues to pour into the space, clocking in at more than $25 billion in 2021 alone.
Amidst all the hype, it is important to understand what blockchain is, and why, outside of market dynamics and speculation, the technology stands to be so transformative. Explanations can often be highly technical, which is not particularly useful for decision-makers evaluating the technology and exploring its applicability to their businesses. 
For those looking to evaluate the value of blockchain technology to their business, there are four key concepts to understand: connectivity, decentralization, immutability and automation. By understanding these concepts, businesses can come to an informed understanding of the power blockchain technology presents.
Continue reading: https://www.entrepreneur.com/article/422877

The blockchain market is expected to grow 68.4% over the next four years, with 86% of senior executives believing blockchain will become a mainstream-adopted technology. While the majority of the world has been fixated on various cryptocurrencies—including bitcoin, ethereum and the emerging non-fungible token (NFT) market—organizations have adopted blockchain technology behind the scenes. To do this, the right education and implementation strategies are needed because without proper implementation strategies factoring in architectural nuances, organizations are opening their business up to security risks.
There are a handful of blockchain deployment models: private (or internal), permissioned/consortium and public. While they all possess some common traits, each has its own nuances when it comes to its use and associated security risks.
Private (Or Internal) Deployment
Blockchains on a private network are generally isolated but are intended to solve internal operational efficiency problems. They offer an alternative data plane to traditional database architectures, with smart contracts serving as stored procedures.
Private networks are quicker than other deployment models—largely because all of the infrastructure is within the four walls of the organization –– but most importantly because the consensus model doesn’t require trustless verification that public chains do. When deployed internally, processes become more efficient, so the steps to protect business assets are more controlled. We see this specifically with an organization’s internal supply chain—the blockchain enables a faster and more cost-efficient delivery of services.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/04/27/beyond-bitcoin-understanding-blockchain-security-implications/?sh=7111cceb711f

According to a report by PwC, AI could potentially contribute up to USD 15.7 trillion to the global economy in 2030– higher than the current output of China and India combined. However, the exponential growth of AI has brought its own set of problems. Bias is one of the major issues the stakeholders are grappling with. However, bias in algorithms is not new. It goes back to the 80s when Dr. Geoffrey Franglen of St George’s Hospital Medical School wrote an algorithm to screen student applications– the algorithm prioritized Caucasian names.
Below, we look at the major biases in AI. 
Prejudicial bias
According to the Mitigating Bias in Artificial Intelligence report by the Haas School of Business, AI systems are biased because they are human creations. They are classification technologies and are products of the context in which they are created and often mirror society. The perspectives and knowledge of those who develop AI systems are integrated into them, said the report. 
The biases can enter the development phase of an AI system. “Human biases can be introduced into an AI system in multiple ways. It could be due to the training data that is used for machine learning algorithms, or it could be because of the biases carried by humans,” said Sarvagya Mishra, co-founder and director of SuperBot (PinnacleWorks).
Continue reading: https://analyticsindiamag.com/understanding-ai-biases-and-ways-to-fix-them/

Sometimes reality is a cold slap in the face. Consider, as a particularly salient example, a recently published article concerning the use of artificial intelligence (AI) in the creation of chemical and biological weapons (the original publication, in Nature, is behind a paywall, but this link is a copy of the full paper). Anyone unfamiliar with recent innovations in the use of AI to model new drugs will be unpleasantly surprised.
Here’s the background: In the modern pharmaceutical industry, the discovery of new drugs is rapidly becoming easier through the use of artificial intelligence/machine learning systems. As the authors of the article describe their work, they have spent decades “building machine learning models for therapeutic and toxic targets to better assist in the design of new molecules for drug discovery.” 
In other words, computer scientists can use AI systems to model what new beneficial drugs may look like for specifically targeted afflictions and then task the AI to work on discovering possible new drug molecules to use. Those results are then given to the chemists and biologists who synthesize and test the proposed new drugs. 
Given how AI systems work, the benefits in speed and accuracy are significant. As one study put it:
Continue reading: https://www.lawfareblog.com/artificial-intelligence-and-chemical-and-biological-weapons

It’s no secret that the pandemic resulted in women and marginalized communities being ousted from the work force in record numbers. Though many demographic sectors have since bounced back, the gains remain unequal among traditionally under-represented groups.
For example, employment in the accommodation and food service industries, which are traditionally staffed primarily by women, are still 17 per cent below pre-pandemic levels. And while the unemployment rate for racialized workers has returned to pre-pandemic levels, it’s still higher than that of non-racialized workers. Youth, Indigenous people, women with children under 6 and many other vulnerable sectors have experienced similar disparities.
“We’ve gotten back to a pre-pandemic level and this is something to celebrate, but is it good enough? If we want an inclusive economy, we have to put in the effort,” Kaylie Tiessen, economist and policy analyst at Unifor, said recently to The Canadian Press.
The question is: How can we raise these under-represented sectors to an equitable rate of participation in the labor market?
Artificial intelligence, or AI, might be the answer.
Continue reading: https://www.theglobeandmail.com/business/article-could-ethical-ai-help-underrepresented-groups-get-ahead-at-work/

Customer perceived value is an oft-used term in marketing that looks at how consumers view services and judge their value. Additionally, customer-perceived value looks at the ability of a business or sales team to adequately meet customer needs and/or expectations.
To truly understand and maximize customer-perceived value, businesses must accumulate insights from all customer conversations and convert them into a reference knowledge base. Through conversational artificial intelligence (AI), businesses not only can enhance their customer interactions, like within sales or customer care, but also help businesses gain a competitive advantage, improving their reputation and market share. In its simplest form, customer-perceived value is calculated by subtracting the total customer cost from the total customer value. However, understanding how to extract value and incorporate data insights allows businesses to properly analyze customer-perceived value, improving customer satisfaction and increasing profitability.
Focusing on Personalization and the Processing of Information
To maximize customer-perceived value, businesses must understand the meaning of a value proposition, comparing the benefits and best attributes of services with the price that businesses ask their customers/clients to pay. With conversational intelligence and the AI tools used to show it, businesses can better identify and indicate where the true value is within customer interactions, making sales conversations more straightforward.
Continue reading: https://www.mytotalretail.com/article/can-conversational-ai-boost-customer-perceived-value/

Here’s an acronym that has gone from high thinking darkroom nerd zone ether to everyday common lingo and even general conversational fodder over a latte on a sunny afternoon with some friends. Artificial Intelligence or AI, this acronym seems to have evolved into the general public lexicon and is persuasively become a hot selling point for almost all electronics. Most of us see it every day now. It’s a listed feature that makes things “better than.”It’s the new “smart” term for technology and is wrapped into machine learning. It’s in TV and print ads, on stickers selling the new devices in the appliance store and even used when talking about your car or home.
But how many people even understand what it means? I don’t mean by dictionary term or industry term either. What does it mean in the relatable big picture? Or when you’re talking about it from the proverbial 20,000-foot view. Seriously, what does AI mean to your neighbor, your grandma or children? What about that buddy that rarely, if ever, looked at a dictionary (but has immense knowledge of long-forgotten Blockbuster film titles and has an undying love for all that is Sci-fi)? What’s their take on it?
It’s worth the ask if you haven’t yet. You’ll get a really good chuckle, trust me. Or at least you’ll be regaled into a lengthy conspiracy theory based on loose knowledge that has been drawn from the ever-accurate source of the internet, and it will most likely liken itself to some outer-worldly dystopian future that ends in misery. Oh internet, how your feeds make me laugh. Either way, it’s an enlightening experience hearing what people outside our industry think AI means, and furthermore, what it’s doing for us — or to us. (Que the creepy Sci-fi audio track here). Don’t get me wrong here; this dystopian craziness could happen. Billionaires like Elon Musk have sunk millions into thwarting attempts at war machine AI robotics. But let’s focus here.
Continue reading: https://www.ravepubs.com/artificial-intelligence-in-av/

AI is an essential part of a modern publisher's toolkit. It’s core to the audience, product development, creative testing and measurement, and it's expanding into more dynamic areas such as creative creation, ad targeting and identity management in a post-cookie world.
Meanwhile, social channels such as YouTube and Facebook are already completely AI-driven, meaning there’s no human contact for content recommendations and algorithms to control the feed.
But for more traditional publishers? Not as much. There’s a perception that AI is a slippery slope that takes the secret sauce out of content curation and editorial tone. Many publishers have viewed content like art (rightly so) and perceived AI as something cold and impersonal.
And that’s too bad because AI has a lot to offer in how to best select, tailor and present engaging content discovery experiences to complement the sacred editorial work. It doesn’t have to mean that publishers will need to hand over the reins to AI, but there is a marriage waiting to happen.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/04/27/how-editorial-ai-is-transforming-publisher-engagement-and-monetization/?sh=be1950538b6b

Many enterprises around the world are discovering new insights, revenue and efficiencies through the use of artificial intelligence (AI). At the same time, companies are discovering that they can accelerate their projects by adjusting their infrastructure approach. These changes have helped to create new opportunities and growth options, as well as preventing a trip to the pile of AI failures.
Here are some recent examples of companies that are not just exploring AI, but but taking their projects to the next level.
Rocket speed for AI at Lockheed Martin
At Lockheed Martin, the company’s Data Analytics Innovations (DAI) Group uses AI-based predictive maintenance models to improve the availability of aircraft, helicopters and other equipment. The models accurately predict when technicians need to take a part out of service for maintenance, instead of relying on reactive approaches that perform maintenance on grounded aircraft.
Initially the DAI Group relied on traditional CPU-based systems to conduct its prognostics management. Increasing amounts of sensor data and a desire to use larger neural networks and models with more parameters led the group to install an NVIDIA DGX Station and two NVIDIA DGX servers, which are purpose-built to meet the demands of enterprise AI and data science. With no changes to the architecture or code, the group immediately experienced a 2x acceleration in training time. And with greater ability to train an tune parameters on their DGX system, they achieved a 10% boost in the accuracy of the algorithms overnight. In addition, the company saw an increase of 18x in speed toward training a few millions documents compared to CPU-based systems (read the full case study).
Continue reading: https://www.cio.com/article/309477/how-enterprises-boosted-ai-through-infrastructure-upgrades.html

The Covid-19 pandemic has challenged many aspects of our life, and the education sector was not an exception. About 91% of students worldwide have experienced educational disruptions due to the pandemic while rapidly adapting to a remote style of learning and online environment. Such disruption has been transforming the traditional learning methods, bringing about new platforms that are more innovative and technology-driven.
With artificial intelligence, VR and AR technologies, the metaverse could become the next big offering when it comes to learning opportunities available to people worldwide. And with the AI education market expected to surpass $20 billion by 2027, the educational metaverse has the potential to create new innovative learning approaches, a gateway to a more immersive learning experience.
Looking ahead, let’s go over several potential AI-backed applications of the metaverse that can empower the education industry in many ways.
Multilingual Learning Opportunities
Language differences may be a real challenge for students from different cultures as they may not be able to understand and keep up with the materials and assignments. Artificial intelligence, VR and AR technologies can enhance multilingual accessibility for learners no matter where they are in the world. Speech-to-text, text-to-speech and machine translation technologies enrich the learning process and create more immersive learning environments.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/04/27/the-amazing-opportunities-of-ai-in-the-future-of-the-educational-metaverse/?sh=4bc1388d76db

“Yesterday.”
That’s often the answer I give to business leaders who ask me about the best time to adopt artificial intelligence (AI).
After all, IBM calls it ‘potentially the most powerful technology businesses have ever had access to’. Research shows it promises to transform profitability over the next 15 years. And with two-thirds of companies accelerating their AI strategy in 2021, it’s no wonder futurists predict the deadline for gaining a competitive advantage from AI to be just two years away. And yet, adopting AI is only the beginning.
Once we’ve added artificial intelligence to our business’s arsenal, it’s easy to think our work is done. After all, isn’t that the big benefit of AI? To help us automate routine tasks and sit back, relax, and focus on other projects? Yes…and no. It’s easy to talk about AI’s initial advantages—but not many of us discuss how to keep it successfully up and running.
We need to think of AI deployment as a garden that needs constant care and attention. If we leave it alone for too long, our grass overgrows, our flowers wilt, and weeds encroach. AI needs to be tended to in just the same way—with risky biases and glitches otherwise ready to sprout through.
So, let’s explore the key steps to caring for artificially intelligent systems after your deployment – and enjoy the transformational potential of this tool long into the future.
Continue reading: https://technative.io/ai-still-needs-humans-to-stay-intelligent-heres-why/

Conversational AI is one of the latest developments of Artificial Intelligence (AI). It uses AI capabilities to produce solutions that will offer human-like interactions between humans and machines. Conversational AI can recognize human speech and text. It is knowledgeable in several languages and converses in any language it recognizes. It can understand the intent of human speech and respond accordingly by making appropriate additions to the conversation. Conversational AI can converse very effectively with humans. The conversational design keeps the conversation between the machine and the human flowing. The best conversational AI platforms make it extremely difficult to distinguish between human speech and AI speech.
Best Examples of Conversational AI 

• Siri

Siri is a Conversational AI that was developed to be a virtual assistant for Apple Inc. Siri is a part of iOS, watchOS, tvOS, macOS and iPadOS operating systems. It is an excellent and intelligent example of Conversational AI.

• Cortana

Cortana is a Conversational AI of Microsoft. It is a cloud-based personal assistant. Cortana can be used in Windows 10 operating system and Microsoft’s 365 suite of products from version 2004 and later.

• Alexa

Alexa is a cloud-based voice service of Amazon. It can be accessed through Amazon Echo and all Amazon apps. Alexa is widely known to control home systems by using voice commands. It can do several tasks simultaneously.

• Google Assistant

Google Assistant, as the name suggests, is developed by Google. It is used on mobile devices and smart home devices. Google Assistant can engage in two-way conversations very smoothly, making it an excellent example of Conversational AI.
Continue reading: https://martechseries.com/mts-insights/staff-writers/conversational-ai-is-benefical-to-b2b-teams/

For the 2022 Girls in ICT Day, the International Telecommunications Union (ITU) chose ‘Access and Safety’ as the centerpiece of this year’s agenda because when access and safety barriers are removed, girls and young women reap the benefits of an active digital life.    
Today, the global internet use gender gap is about 12.5 percent, according to ITU research. Furthermore, less than 30 percent of today’s STEM (Science, Technology, Engineering, and Mathematics) professionals are women. And the outlook for improvement is not good: currently there are approximately half the number of women studying STEM subjects in tertiary institutions than men.  
Addressing access: a global issue that requires local solutions 
This is not a single problem with a single solution. My colleague, Zohra Yermeche heads Connect To Learn, Ericsson’s global flagship education program, and she oversees the development and deployment of Ericsson’s technology offerings for education globally. She started out at Ericsson as a researcher and has a PhD in signal processing, a branch of electrical engineering. She says that it is important to always consider and understand specifics of each community. 
Continue reading: https://www.ericsson.com/en/blog/2022/4/closing-the-digital-gender-gap

Federal agencies plan to continue incorporating drone technology into their business operations, with government pilots currently focusing on threading the needle between automation and safety, with the surveillance aircraft. 
One agency looking to capitalize on improved drone technology is the National Transportation Safety Board, which has been employing drones to capture footage from accidents among maritime, aircraft and auto transportation systems since 2016.
“We're looking to expand to have more pilots in the agency and more drones, so that we can respond to more of our accident scenes,” Catherine Gagne, an unmanned aircraft system operator within the National Transportation Safety Board’s Office of Aviation Safety said Tuesday. 
Speaking during a panel discussion via the Advanced Technology Academic Research Center, Gagne discussed the agency’s core mission of investigating transit accidents and how drones have been part of site documentation for the last six years. 
Continue reading: https://www.nextgov.com/emerging-tech/2022/04/national-transportation-safety-board-wants-expand-drone-operations/366126/

Apply product when and where you need it at the optimum rate 
From a rescue fungicide application to cover crop seeding, sprayer and spreader drones are earning their place on farms. They can provide a cheaper, faster and more flexible method for in-field applications. 
“When it comes to doing things on your own on the farm, aerial application is the last frontier,” says Taylor Moreland, owner of Agri Spray Drones. “Sprayer drones let you do your own aerial application when, where and how you want it done.”
Instead of using a sprayer with 120' booms or hiring a crop duster to treat a 25-acre field, you can send in a drone with a 9' wingspan and 29' swath, carrying 8 gal. of product. In less than an hour, you could spray the entire field at the optimum application rate.
“Sprayer drones won’t replace ground rigs,” Moreland says. “But where they are a great fit is for low-volume, variable-rate or spot applications in small fields or fields with topographic changes. Drones are similar to crop dusters, but they can fly lower, slower and more precise.”
Continue reading: https://www.agweb.com/news/business/technology/when-and-where-applications-rise-sprayer-drone