A growing number of people are interested in crypto investment, which means financial advisors need to understand the various ways to invest into cryptocurrency and crypto related strategies.
While the asset class is still new, especially when compared to the rest of traditional finance, there are a few different ways to invest into crypto and crypto companies.
Some of these investment strategies involve direct investment in cryptocurrency and require advisors and clients to undertake a series of new steps.
Other strategies are available at traditional financial custodians and are more similar to ordinary investments.
1. Cryptocurrencies and tokens
Clients may express a desire to own cryptocurrency directly.
Building a portfolio of cryptocurrencies and tokens is relatively straightforward but must be done through a cryptocurrency platform or exchange. Companies such as Coinbase, Gemini and FTX are crypto exchange platforms that anyone is able to use to purchase and trade crypto assets.
Much like creating a self-directed investment portfolio on a traditional custodian, any investor can open their own account on a crypto platform and begin investing in whatever crypto asset they wish. From there, investors may choose to move their currency off the crypto exchange into self-custody with a hardware wallet. However, they are still owners of the cryptocurrency or token if they hold it on the exchange and they may decide to do so.
Continue reading: https://www.coindesk.com/learn/2022/09/22/3-ways-traditional-investors-can-gain-crypto-exposure/

Nasdaq is taking its first steps into crypto services with an emphasis on security, entering the business with a custody product for bitcoin and ether aimed at institutional investors.
“We feel that custody is foundational to any other service that we build,” says Ira Auerbach, the newly named head of Nasdaq Digital Assets. “The ability to hold on to our customers' funds in a safe, secure, scalable and accessible manner is a key launch point for anything else we do in the future,” added the former head of the Gemini exchange’s crypto prime brokerage.
Crypto custody is central not only to Nasdaq’s digital asset ambitions, but to the industry as a whole. Clients are required to place enormous trust in their custodians, a confidence that individual investors are skeptical of handing over. This wariness has given rise to the phrase “not your keys, not your crypto,” meaning that private keys – analogous to passwords for the accounts holding crypto funds – do not belong in the hands of intermediaries. Since institutions are unlikely to build out their own infrastructure to custody assets, they need to choose a partner prepared to take custody of institutional-sized cryptocurrency accounts.
When asked why clients would choose a traditional financial player instead of a crypto-native firm to take custody of their digital assets, Auerbach responds that Nasdaq is uniquely positioned because of its knowledge of what institutional clients need in order to use a financial product.
“We have a long history of working with these institutions, we know their pain points, we have products built internally to address these pain points,” Auerbach said. “We think we can make institutions much more comfortable and usher in a larger adoption of the ecosystem.”
In parallel with the custody service, Nasdaq is expanding its anti-financial crime technology to weed out money laundering, fraud and market abuse in digital assets. The advantage Nasdaq has is that the company has the capabilities to analyze potentially fraudulent behavior in both traditional markets and digital assets as well, says Valarie Bannert-Thurner, senior vice president of anti-financial crime technology at Nasdaq.
Continue reading: https://www.forbes.com/sites/emilymason/2022/09/22/nasdaq-enters-crypto-business-with-focus-on-security/?sh=37a5c0cd3dee

Blockchain hacking is not impossible, but it's really not easy. Have you ever heard that the Bitcoin blockchain was hacked and seriously lost its function, even temporarily? If that had happened, Bitcoin would have already been destroyed. Hacking a good blockchain is almost possible, but only in fiction. However, it is not easy to argue this when there are claims that hacking is possible due to the large difference in perception of the scope of hacking. However, there are often reports that cryptocurrency has been stolen. Cryptocurrency theft news can be misinterpreted as blockchain hacking in the broad sense. There are two main ways to steal cryptocurrency. One way is for the hackers to steal private keys that they can use to move coins from coin owners. The other way is for a hacker to steal a password to open a coin owner's wallet. Here, readers should first know what a private key is and what a wallet password is too. To do that, you have to understand that it's a private key. This contrasts with persons transferring money from a bank account where they must show identification and stamp a pre-registered seal to prove to the bank teller that they are the owner of the money. Then, the teller determines the authenticity of the seal. If a signature was used instead of a seal, the staff would check the signature. Continue reading: http://www.koreaittimes.com/news/articleView.html?idxno=116112

Artificial intelligence is already being used in the workplace in ways you may not be aware of. Here are a few examples of its use.
Since its emergence, artificial intelligence (AI) has crept into technology, changing everything we know about computers. Artificial intelligence refers to the programming of computers to think like humans. If you have ever used an automated program, there’s every possibility that it was AI in action.
Interestingly, the workplace structure is not exempted from its influence. Although hazy, AI has greatly impacted your work without you realizing it. This article outlines seven exciting ways you use AI at work that you didn’t know about. Keep reading to find out.
1. Spam Filters
Spam filters serve as an email security measure against cyber danger. Most email services like Gmail have a section dedicated to junk mail, where spam messages are sent. These emails can fill up your inboxes and distract you from the real work, so they are better off discarded. If you have ever had this experience, that was artificial intelligence.
In addition, most malware and viruses that threaten data security at the workplace are sometimes introduced using emails. Using spam filters is one of the ways to stop spam emails, especially for Gmail users. They sort through messages by assessing them against certain criteria, including campaign metadata, IP address, content and format, and codes.
Furthermore, these filters measure the level of spam using a spam score, which is the major determinant of what message goes to the inbox or is discarded as junk. Spam filters involve a lot of technicalities, but once it is launched, it automates themselves regularly.
Continue reading: https://www.makeuseof.com/ways-using-artificial-intelligence-work/

Memory remains one of the most critical technologies for enabling continued advances in artificial intelligence/machine learning (AI/ML) processing.
From the rapid development of PCs in the 1990s, to the explosion of gaming in the 2000s, and the emergence of mobile and cloud computing in the 2010s, memory has played an integral role in enabling these new computing paradigms. The memory industry has responded to the needs of the industry over the last 30 years, and is being called upon again to continue innovating as we enter a new age of AI/ML.
PCs drove an increase in memory bandwidth and capacity, as users processed growing amounts of data with applications like Word, Excel, and PowerPoint. Graphical user interfaces, the Web, and gaming pushed performance even higher. This gave rise to a new type of memory called Graphics DDR, designed to meet increased bandwidth demands.
Mobile phones and tablets ushered in a new era with on-the-go computing, and the need for long battery life drove the memory industry to create new Mobile-specific memories to meet the needs of these markets. Today, cloud computing continues to drive increases in capacity and performance to tackle larger workloads from connected devices.
Looking forward, AI/ML applications are driving the need for better memory performance, capacity, and power efficiency, challenging memory system designers on multiple fronts all at the same time. According to OpenAI, AI/ML training capability has increased by a factor of 300,000 between 2012 and 2019—a doubling every 3.43 months. AI/ML models and training sets are growing in size as well, with the largest models now exceeding 170 billion parameters and even larger models on the horizon.
Continue reading: https://www.fierceelectronics.com/electronics/memory-key-to-future-ai-and-ml-performance

Over the past decade, artificial intelligence (AI) has evolved rapidly, becoming increasingly sophisticated and capable of solving ever more complex problems. AI is deployed in sectors as diverse as manufacturing, transportation, finance, education and healthcare. In a similar vein, it has the potential to advance the development of nuclear applications, science and technology. Harnessing its capabilities in the nuclear field can positively contribute to addressing some of today’s most pressing challenges, from food security to climate change.
Here are some ways in which AI has and will continue to benefit the peaceful applications of nuclear technology. These are discussed in more detail in a new IAEA publication, Artificial Intelligence for Accelerating Nuclear Applications, Science and Technology.
1. Human health
AI can contribute to combating diseases. It is already applied to support the diagnosis and treatment of cancer through improved image interpretation and precise tumor contouring, enabling more accurate treatment plans and adaptive radiotherapy — a process tailored to the anatomical characteristics of the individual patient. The IAEA has recently launched a coordinated research project in this area.
AI will also play an important role in the IAEA’s Zoonotic Disease Integrated Action (ZODIAC) initiative to help experts better understand the impact of zoonotic diseases on human health and predict, assess and contain future outbreaks of such diseases.
Continue reading: https://www.iaea.org/newscenter/news/seven-ways-ai-will-change-nuclear-science-and-technology

Artificial intelligence and machine learning have reached enterprise maturity – no longer just flashy add-ons, they are essential components in information architecture. Businesses across all industries can harness these technologies, but, as Hexaware’s Vaidya JR points out, they must have a clear picture of their strategic and business goals before implementation.
In an era of accelerated digitalization, artificial intelligence (AI) and machine learning (ML) have fast become part of the IT infrastructure of many businesses. Consequently, how these technologies are being used to derive meaningful insights from vast quantities of data is maturing rapidly.
“Early on, when organizations didn’t have access to the computing power and zettabytes of data that they have today, AI was only springing up in pockets,” says Vaidya JR, SVP and global head of data and AI at IT transformation specialist Hexaware Technologies, “The approach then was to see what AI could do for a company, without truly identifying a well-defined problem. Data science solutions were just a shot in the dark.
“Organizations were struggling to put their data to effective use, which led to limited value generated and ineffectual business results,” he adds. “You can crunch any amount of data, and create numerous models; it only adds value if there is a significant impact on the business. But the current attitude has completely changed across industries, without exception.”
Continue reading: https://techmonitor.ai/technology/ai-and-automation/artificial-intelligence-and-machine-learning

AI changes how we conduct business in addition to boosting human productivity
Artificial intelligence (AI) has become more common for a while. It changes how we conduct business in addition to boosting human productivity. In fact, according to 86% of CEOs, AI will be widely used in offices by 2021. It’s essential in never-before-seen ways, from predicting customer behavior to reducing data entry.
This shouldn’t be surprising, given that AI enables far faster and more accurate decision-making than before.
Here’s why AI is important
1. AI in Sales
The proportion of humans to machines in sales is being re-evaluated by seasoned salespeople and sales organizations. Automation AI is already impacting sales and will do so going forward. According to a study published in the Harvard Business Review, utilizing AI in sales can boost leads by more than 50%, shorten call durations by 60–70%, and lower costs by 40–60%. These numbers make it crystal clear that company owners wishing to boost their bottom line should look into artificial intelligence.
2. AI in Marketing
AI-based intelligent technology solutions are being fast adopted by many enterprises and marketing groups to increase operational effectiveness while improving customer experience. Marketers can acquire a deeper understanding of their target demographic with AI. The acquired data can subsequently be utilized to increase conversions while also reducing the workload of the marketing team.
Continue reading: https://www.analyticsinsight.net/why-do-companies-need-ai/

Children and young people represent a growing proportion of the record numbers of Australians flying drones – a technology now being widely used in industries such as robotics, agriculture, mining and food delivery.
However, the true potential of drones is not the technology itself, but how it is applied to solve problems, in areas such as environmental and humanitarian need, disaster management and recovery, emergency response and town and city planning.
Cypher Learning, a leading provider of intelligent learning platforms for schools, universities and organizations around the world, recently announced the successful implementation of its Matrix learning platform for Drone Operations, which provides specialized drone training in private and public schools across Australia in the Civil Aviation Safety Authority (CASA) Excluded Category, which includes under 2kg remote piloted aircraft (RPA).
The partnership empowers schools with state-of-the-art learning materials, as students work towards obtaining the AVI30419 Certificate III in Aviation (Remote Pilot) - MW training RTO: 2510 uses Drone Operations resources to deliver and assess all learners.
“Drones offer a different perspective for the pilot and open up a new realm of possibilities in disaster response, meteorology, science and research, even film and video,” Graham Glass, CEO and founder of Cypher Learning, told The Educator.
Continue reading: https://www.theeducatoronline.com/k12/news/taking-drone-operations-to-the-next-level/281070

From wet-weather spraying to timely scouting, drones are not only proving their efficacy but paving a path for rural entrepreneurship and the next generation on the farm.
Spray drones are alleviating the pain points of crop spray applications, building job opportunities with small, rural businesses, and creating on-farm revenue for the next generation of farmers.
Scouting drones are strengthening relationships and delivering new and on-going management opportunities to farms across the country, taking the tedious and labor-intensive human-element out of crop scouting through advanced imaging.
“Drones help agronomists scout more acres with more detail, more quickly, and with that information they can help farmers make faster, more accurate management decisions,” says Mike DiPaola, chief commercial officer for Taranis, who adds that those timely insights make a real difference in performance profitability.
Since introducing high-resolution scouting as a service in the U.S. in 2020, Westfield, Indiana-based Taranis has helped to build relationships between farmers and their trusted advisors through drone technology.
Continue reading: https://seedworld.com/drones-provide-valuable-roi-in-the-field/

AUSTIN, Texas — Jasmine Vallejo grew up in San Antonio. Now she lives in Austin and works in the tech industry.
She received her first laptop at 9 years old, but without Wi-Fi, she spent most of her time learning to code at the local YMCA.
Now she works in community engagement at Meta and serves on the board for Latinas in Tech where she says there’s a lack of representation of Latina women in the industry.
“Historically, because of the background of Latinx families, Latinos have pursued backgrounds or careers in a field that provided stability. And while Latinos were users of technology, we weren’t the creators of them,” said Vallejo.
Continue reading: https://spectrumlocalnews.com/tx/austin/news/2022/09/21/tech-professional-pushes-for-other-latinas-to-enter-the-field-#

There's a gender gap in the DevOps field. It's time for IT and DevOps leaders to take steps to make the DevOps team a place where women feel welcome and ready to contribute.
A balanced and diverse workforce drives innovation. Women account for 47.7% of the global workforce. However, only 26% of the jobs in computer-related sectors are held by women, a number that has grown by a mere 2% over the past 20 years. In the DevOps sector other research shows women account for about 13% of the workforce. This fact suggests that the more niche a sector is, the more skewed the gender diversity is as well.
Companies and teams embracing gender diversity are 27% more likely to outperform their competitors and generate above average profits according to researchers. Organizations focused on inclusion are more likely to innovate and gain from the benefits of women's creative thinking.
While diversity is one aspect of it, simply bridging the gender gap means nothing without a culture of inclusion. Inclusion in its true sense refers to the feeling of belongingness.
Women in the workplace are often prevented from growth, as they are seen to have less potential and capabilities compared to their male counterparts. A second-generation gender bias exists in which women fail to thrive and reach their full potential. For example, women often feel less connected to their male colleagues, are advised to take admin roles to accommodate family responsibilities or are excluded from key responsibilities. These instances showcase work cultures and practices that are disadvantageous to women.
Continue reading: https://www.informationweek.com/devops/creating-an-inclusive-culture-for-women-in-devops

Curiosity, patience, time management, and being willing to speak up are some of the characteristics women will find helpful in a cybersecurity career, say women in the field.
They gave that advice Tuesday during an online careers panel discussion at an International Women Cyber Day Symposium. Traditionally, International Women in Cyber Day is observed on September 1st of each year, but many groups hold separate events during the month.
Some think that IT skills are most important for a career in the sector. But the women on this panel said otherwise.
For example, Yesenia Yser, a principal product security engineer at Red Hat and co-founder of Latinas in Cyber, said time management is a skill that has been vital in her career.
“Cybersecurity is a very high-stress, fast-paced environment,” she said, “so being able to manage your time and keep up with the latest and greatest,” is important. Self-development, continuous learning, and keeping your curiosity are also useful, she said.
The ability to lead without authority, she added, meaning “being able to drive change when you have no authority or say, trying to persuade [others] the reasoning and the impact the new change is going to have” is a key skill. And, she added, that skill goes with building relationships: “You can’t make those changes if people don’t trust you,” she said.
Continue reading: https://www.itworldcanada.com/article/soft-skills-are-vital-for-women-to-succeed-says-cybersecurity-panel/504024

Karlie Kloss never intended to work in fashion. "I feel like I just fell into it– but because I started my career so young, I’ve kind of grown up in this industry," says the Chicago-born model and entrepreneur, who was discovered aged 14 at a local benefit show and made her catwalk debut two years later at New York Fashion Week. "I’ve seen not only the incredible artistry involved, but also the power that comes from building a brand."
She cites female businesswomen such as the designer Carolina Herrera – who gave Kloss her first opportunity to open a show in 2008 – as an influence on the professional choices she has made, which have been consistently bold and increasingly unexpected. In 2015, nine years into a modelling career that had seen her front campaigns for brands from Lanvin to Louis Vuitton, she took control of her own narrative by launching a YouTube channel, Klossy, which she used to share behind-the-scenes clips of her life in fashion before such revelations were the norm.
"At the time, it was a bit controversial that I was bringing my camera backstage on a shoot or travelling to a show. You know, models are traditionally seen and not heard," she says, "and this was one of the first times I got to show people I could actually talk." Not only did Kloss want to talk, she also wanted to learn. That same year, she ended her two-year contract with Victoria’s Secret, blaming scheduling conflicts (she later admitted that the decision was motivated by a growing sense of discomfort with the brand’s values), and took part in a summer camp where she was introduced to the basics of coding.
Continue reading: https://www.harpersbazaar.com/uk/culture/culture-news/a41290765/karlie-kloss-tech/

The women in Web3 are not only precursors in this rapidly developing technology sector, but they also succeed there despite significant entry barriers and a male-dominated environment. Although women make up a tiny percentage of Web3’s leaders and creators.
Lana Hopkins and Juliana DiSimone
They are the co-founders and friends of someplace, a Web3 company that is revolutionizing how they experience and inhabit the digital world. They are developing a social platform that facilitates the development of international relationships and friendships and the expansion of the community. They are designed specifically for mobile, placing everything in the palm of your hand and allowing you to combine your digital and real-world experiences. Lana is the co-founder and chief executive officer of a consumer technology firm specializing in expanding technical user experiences to a broad audience. Juliana has experience in design, fashion, and brand building; she built and successfully positioned the lifestyle brand TokyoBike in the Americas. Web3 may help women who get less than 2% of average VC investments become less dependent on VC funding and carve their paths. It expands their horizons beyond their physical area, and the possibilities become unlimited via social and network connections with like-minded individuals. They are a power pack team of women in Web3 world.
Nicole Behnam
She is the creator of Beyond The Interview and the Head of Community at Hashflow, a DeFi exchange. She is also a renowned name in the Web3 &NFT world as a consultant, an interviewer, and a speaker. She is a overall package of women in Web3. In September 2021, she began using Web3. Establishing ownership rights, putting a royalty system into intelligent contracts that ensure payment, and offering transparency. When her friends left Clubhouse for Twitter Spaces and began devoting all of their time debating NFTs, she realized they had abandoned Clubhouse.
Continue reading: https://blockchainmagazine.net/part-3-women-in-web3-leading-the-tech-industry/

Three things make cryptocurrencies unique: decentralization, scalability and security. Firstly, cryptos can function without a central governing body. They can also scale enough to challenge fiat currencies. And finally, they employ one of the highest forms of security available to humankind: cryptographic encryption. In this article, we will learn about a concept at the heart of blockchain security — the nonce —what it is and how it is used in crypto.
What is a nonce?
The word nonce is short for 'number used only once.' It may sound like a simple concept, but its use cases range from small transactions to space stations. In finance and cryptography, a nonce refers to a randomly generated number, and it is used to verify transactions or perform security checks.
For example, the captchas we often find on websites are nonces (albeit with letters included) as they are used just once. In a much simpler case, even the OTPs sent to verify transactions are nonces that have the singular use of verifying something for a limited period of time.
What is the use of a nonce in blockchain?
Within several proof-of-work blockchains, including Bitcoin, a nonce is a random 32-bit number that miners use as a base for their hash calculations. Miners compete with each other, trying to guess a valid nonce as they attempt to calculate a block hash.
Continue reading: https://www.cnbctv18.com/cryptocurrency/blockchain-security-the-heart-of-nonce-explained-14773161.htm

As current blockchain technology faces accusations of inefficiency and unsustainability, a new technology is finding its way to counteract them.
Blockchain
Crypto blockchains are a highly discussed topic. Blockchain is used by many cryptographic networks (e.g. Bitcoin and Ethereum) to enable different transactions. In this context, transactions are cryptographically signed instructions from participants of the network to update the state of the network. The simplest transaction is transferring the cryptographic value, known as coins from one account to another. A blockchain can be described as a chronological concatenation of blocks. These blocks contain various data. For example, information about the transaction itself, the creation date and other information necessary for the creation and transaction. These blocks are linked together, creating what is known as the blockchain.1
Original Blockchain technology
To create such a blockchain, so-called 'miners' are required. These miners are users of the respective blockchain that expand the chain by creating new blocks. It is necessary to ensure that only legitimate transactions become part of the chain. To create a new block the miners have to solve a cryptographic problem i.e. find the corresponding key (the so-called Hash value) to connect the new block to the blockchain. To create an incentive for the miners to work, the first miner that solves the problem receives a payment in the respective cryptocurrency. As many miners are working in parallel to solve the problem only the winner that has 'worked' the hardest or fastest gets to update the blockchain with the transaction. This original consensus mechanism is called 'Proof of Work' (PoW).2 
Disadvantages of ‘Proof of Work'
The proof of work mechanism has one massive disadvantage: Energy consumption. Due to the high processing power needed to carry out the mining as quickly as possible, the energy consumption is enormous. Studies have found that bitcoin alone consumes more than 100TWh per year.3 This equates to twice the annual electricity usage of Switzerland.4 Specifically with regard to Ethereum, an immense increase of the energy consumption has been measured.5
Continue reading: https://www.jdsupra.com/legalnews/the-green-revolution-of-blockchain-7191785/

As the Indian economy continues its recovery, there has been a rapid rise in the demand for workers in various segments. India's employment took a heavy blow during the Coronavirus pandemic which led to a series of nationwide lockdowns and restrictions. While the economy picks up bits and pieces shattered by the pandemic, the government and companies have stepped up in ending one of the biggest problems in India, and that is unemployment. Various measures have been announced by the Centre, among the latest would be their aim for creating 1 million jobs before the 2024 general elections. Not just that, major companies have also announced their own commitments to hiring both new and experienced talents. But has anyone wondered, how the cryptocurrency market can help in contributing to job opportunities in India?
Currently, the cryptocurrencies and blockchain industry are at the booming stage on the back of vast adoption globally. Despite being controversial and holding complex underlying technology, the cryptocurrency market is seen as a maturing industry with large investors parking their money in them. This market is evolving constantly!
At the 3rd edition of FICCI Leads 2022, Finance Minister Nirmala Sitharaman said, the use of blockchain technology is going to rise by about 46% in the next few years.
How does crypto market help in creating job opportunities in India
Rajagopal Menon, Vice President, WazirX cited the latest study conducted by LinkedIn revealed that job postings containing "Cryptocurrency," "Bitcoin," or "Blockchain" increased 394% year over year from 2020 to 2021.
Continue reading: https://www.livemint.com/market/cryptocurrency/how-cryptocurrency-market-will-help-in-creating-job-opportunities-in-india-11663680391765.html

Leveraging artificial intelligence (AI) for education in India needs equipping women for technology in education, Unesco’s State of Education in India 2022 report makes clear. The report, focusing on artificial intelligence in education, states 85% of adolescent girls in the country don’t have a laptop at home, and 83% got less than an hour at their school computer labs per week.
Despite this, the country was ranked at the top in terms of talent concentration and relative AI skill penetration—leading the world in terms of relative skill penetration by gender, with women exhibiting a higher rate than men in the country—in the Stanford University’s Institute for Human-centered Artificial Intelligence’s 2022 Artificial Intelligence Index.
That said, with women accounting for 22% of India’s AI talent pool and a third of AI-related scientific publications, the lack of access to technology in early education for women could be leading to lost potential, experts say.
Continue reading: https://www.financialexpress.com/education-2/ai-in-education-needs-greater-inclusion-of-women-unesco/2680831/

Creating successful artificial intelligence programs doesn’t end with building the right AI system.  These programs also need to be integrated into an organization, and stakeholders — particularly employees and customers — need to trust that the AI program is accurate and trustworthy.
This is the case for building enterprisewide artificial intelligence explainability, according to a new research briefing by Ida Someh, Barbara Wixom, and Cynthia Beath of the MIT Center for Information Systems Research. The researchers define artificial intelligence explainability as “the ability to manage AI initiatives in ways that ensure models are value-generating, compliant, representative, and reliable.”
The researchers identified four characteristics of artificial intelligence programs that can make it hard for stakeholders to trust them, and ways they can be overcome:
1. Unproven value. Because artificial intelligence is still relatively new, there isn’t an extensive list of proven use cases. Leaders are often uncertain if and how their company will see returns from AI programs.
Continue reading: http://mitsloan.mit.edu/ideas-made-to-matter/why-companies-need-artificial-intelligence-explainability

Chief marketing officers will likely develop future strategies based on the transformational influence of artificial intelligence such as emotion AI, influence engineering and generative AI.
According to a recent report from technological research and consulting firm Gartner, the accelerated fragmentation of digital media poses challenges to marketers in advertising, and AI can be deployed to help target audiences, measure impact and assist with identity resolution, as well as consent and preference management.
Mike Froggatt, senior director analyst in Gartner’s marketing practice, said based on the company’s analysis, up to half of marketers are already using AI in some way.
Marketers can optimize their campaigns by directing users down a customer journey with an orchestration platform or by using natural language processing for things like chatbots, he said.
“Marketers are working on things like identity resolution and consent and preference management,” he said. “There are AI-driven tools out there that are helping marketers produce and use alternatives.”
Froggatt said all marketers who build a roadmap to deploying AI tools are going to have their unique challenges. For example, a legacy consumer packaged goods (CPG) brand is going to have a ton of historical data that it can model from, while a newer direct-to-consumer or business-to-business (B2B) brand will have a smaller data set.
“In that case, a generative AI can artificially create segments or content to speak to more niche types of targets within their marketing practice,” Froggatt said.
Continue reading:https://www.cmswire.com/digital-marketing/ai-is-the-coming-revolution-for-digital-marketing/

In the wake of the "Great Reshuffle," companies continue to reevaluate their approach to recruitment and retention. In order to drive efficiency and remain effective at scale, business leaders are increasingly turning to new technologies for support. One of the most valuable technologies supporting talent management strategies today is artificial intelligence (AI). It has the potential to revolutionize the way in which businesses interact with the wider talent landscape, helping HR teams and recruiters fill much-needed positions and identify the skill sets in most demand.
A critical, but often overlooked, element for talent stakeholders to take into account is ensuring all candidates—internal or external—are given fair and equal consideration to the open opportunities. AI can, and should, open the door for companies to introduce improved talent inclusion initiatives, working within explainable hiring practices.
How AI Is Used In Recruiting
When it comes to recruiting, AI typically takes two forms—using specific data about a candidate or a job to directly match one to the other or identifying additional data (such as complementary skills or experience) to infer broader matches. Using AI this way enables HR leaders to take more rapid action to solve key talent problems, as they can identify more potential external candidates from a wider pool to quickly close skill gaps within an organization and effectively connect internal employees with new opportunities, supporting talent mobility.
AI can also be further trained to identify those with skills that are optimal for new career pathing opportunities or matching individual interests with future roles that are beyond the immediately open positions. If HR managers and recruiters simply search for people who will fit an exact role or job description rather than searching for the skills and qualities that could make a candidate potentially suitable for the role, the talent pool will remain limited.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/09/21/the-role-of-explainable-ai-in-increasing-inclusion-in-talent/?sh=2bdfc84b5590

Every year during Hispanic Heritage Month, the country honors and celebrates the contributions Latinos have made to this nation. From advancements in science, healthcare, civil and labor rights to leadership in government, military, entrepreneurship and business, the Hispanic community continues to have a profound and positive impact on our schools, our communities, our economy and our country. Nevertheless, they are still vastly underrepresented in many areas, particularly in Science, Tech, Engineering and Mathematics (STEM) sectors.
There are three current realities to consider when it comes to Hispanics, Latinos and Latinx in the fields of STEM:
1. The U.S. Hispanic population is significant but doesn’t have comparable representation in the tech market.
Technology continues to change how we work, live and learn, and it’s an important driver of the world’s economy. However, diversity gaps still exist across the industry, especially among the Latino population. They remain highly underrepresented in the STEM workforce — making up only 8% of STEM workers[1] despite being the country’s second-largest ethnic group. This divide is direr for women, with Latinas only holding 2% of STEM jobs[2] in the U.S. even though women comprise 28.8% of the U.S. tech workforce.[3] Higher education institutions and companies have a tremendous responsibility to support and encourage Hispanics and increase representation in the tech field.
Continue reading: https://warwickonline.com/stories/3-current-realities-of-latinos-in-tech-careers,177105?

For women and other underrepresented groups in tech, there is often a looming feeling of imposter syndrome — a feeling of otherness or fraud regardless of ability.
We are repeatedly told either implicitly or explicitly that we don’t belong. A combination of stereotypes and existing social structures create additional barriers to involvement in technology-related fields. What’s worse, these experiences often start early.
A study done by the University of Washington traced the lower sense of belonging girls face to lower feelings of fit with computer science stereotypes. Before college, I had never even considered entering the tech field.
Despite being in the gifted math program from elementary school through high school and achieving straight A’s, I somehow convinced myself I was bad at math. 
Despite working hard in my STEM-related classes, I always attributed any successes to luck. 
Continue reading: https://dailyillini.com/opinions-top/2022/09/20/women-in-tech/

It’s human nature to always look for the next big thing. Whether it’s evolving as people, scrolling through endless social media feeds or identifying new investment opportunities, we don’t like standing still.
Technology is perhaps the fastest-moving aspect of our lives, and an area filled to the brim with exciting innovation across industries as companies realize the importance of everything from cloud to analytics and data. And, despite market turbulence, venture capital firms are still investing.
According to Morningstar’s PitchBook, emerging technologies account for about 11% of all seed and early-stage VC investment – and current favorites are areas like Web3, DevOps and AI. But what makes these opportunities so exciting for VCs and when – if ever – will they have any real-world relevance?
1, 2, Web3
The journey from conception to real adoption is long. For example, we’re currently being bombarded with information about the metaverse and how an alternative, digital universe is the future of everything from shopping to corporate conferences. But in reality, we’re still only really using the Oculus Quest for Beat Saber. Research firm Gartner even estimates that it’ll be at least a decade until the metaverse is a truly mainstream concept.
So back to VCs’ current darlings. According to PitchBook’s Emerging Technology Indicator (ETI) for the second quarter of 2022, Web3 and decentralized finance, or DeFi, is by far the most popular among VCs.
Continue reading: https://www.morningstar.co.uk/uk/news/226545/web3-hype-or-horror.aspx