Blockchain businesses don’t operate the same way normal startups do. Blockchain communities are breaking the norm because their founders don’t all come from business schools, accelerators or traditional startup channels. Rather, they are emerging from the world of chat rooms, Twitter spaces and collaborative video calls.
Regardless of what you think about the industry’s volatility or underlying value, the amount of growth that blockchain projects have seen in the last five years is nothing short of amazing.
Interviews with more than three dozen founders, CEOs and early adopters for the KryptoNurd YouTube video series this last year (in which I participated) made it apparent that the successful projects have three key commonalities. These three tips from the current crypto craze can be applied to reinvigorate any mature business or help a startup get off the ground.
1. Focus on building communities.
It’s all about the community. Crypto projects do an amazing job at creating communities that aren’t just investors but advocates. Social media chat rooms in Telegram and Discord offer direct communication between the community and the project team.
Continue reading: 
https://www.forbes.com/sites/forbesbusinessdevelopmentcouncil/2022/09/15/3-strategies-from-the-crypto-craze-to-grow-your-business/?sh=17b4211d68ed

Key takeaways

• The crypto market started falling from its peak price in November 2021 but didn’t technically enter a “winter” phase until June 13, 2022.
• Past trends would indicate the crypto winter will last another three to four months, but it would take another three years for prices to recover to their November 2021 glory fully. Trusting past trends may be a fool’s errand on such a new commodity.
• Government policies worldwide are likely to impact crypto’s recovery, or lack thereof, and are partially to blame for the slow burn they’ve been experiencing throughout 2022. That may be bad for crypto but good for the planet.

Cryptocurrencies have had a major down year. If they were a financially sound stock and you were a long-term investor, that would make this as good a time as any to buy. But cryptocurrency markets don’t act like the stock market, making it difficult to assess if crypto will ever recover.
Why crypto isn’t as easy to predict as the stock market
Crypto doesn’t have a very long history. Bitcoin, the first of the current generation of digital currencies, launched in 2009. The New York Stock Exchange, for comparison, began in 1792. We can easily look back at historical stock market trends, but we don’t have enough data for crypto to understand how it functions under different economic conditions.
Additionally, the cryptocurrency markets are less regulated than others, such as the stock market. While agencies like the Securities and Exchange Commission (SEC) and FINRA keep close tabs on investment firms in the stock market, crypto companies operate with relatively little oversight. That puts investors at additional risk, including the added risks of scams and fraud.
Continue reading: https://www.forbes.com/sites/qai/2022/09/17/what-does-a-crypto-recovery-look-like/?sh=4409c3926a63

• “Spend cash, invest in bitcoin. Cash is trash.” – A ‘bon mot’ from one of the Winklevosses
• “As of the end of Q2, we have converted approximately 75% of our bitcoin purchases into fiat currency,” – Tesla Quarterly Earnings Statement (July 2022)
• “Bad coin and good coin cannot circulate together.” – A version of Gresham’s Law

This week brought news of “the merge”—a purportedly momentous singularity in the history of humankind, or at least a big new loop in the tangled story of cryptocurrency. We are told that, from now on, Ethereum (the second most popular crypto offering) will no longer be based on “Proof of Work” but rather on “Proof of Stake” (whatever that turns out to mean). The big selling point of the merge is that the cost of “mining” the stuff will be reduced. In fact, mining won’t even have to happen anymore (too bad for Nvidia, by the way, which has floated its market capitalization on sales of the mining hardware—its share price is 92.88% correlated with the price of bitcoin since November 2021).
In any case, “Merge parties” are said to have broken out world-wide, live-streaming from every time zone. Meanwhile, the hedge fund world has crowded into the options market to trade on the volatility that they expect.

• “‘A lot of smart money [is] buying’… Outstanding option contracts have risen from 1.2mn at the start of the year to more than 4.6mn by Wednesday. About 80 per cent of these contracts are call options… It’s a sign of ‘massive bullish sentiment.’”

Of course, the existence of “massive bullish sentiment” would normally signal a decline in the market (investor sentiment is usually a contrarian indicator). The next few weeks will reveal how the Merge will play out for speculators. But we already know that in practical terms it won’t make any difference for the long-run fundamental prospects of crypto.
Continue reading: https://www.forbes.com/sites/georgecalhoun/2022/09/18/the-biggest-crypto-fantasy-of-all/?sh=186d7dc46aee

Blockchain is the innovative database technology that’s at the heart of nearly all cryptocurrencies. By distributing identical copies of a database across an entire network, blockchain makes it very difficult to hack or cheat the system. While cryptocurrency is the most popular use for blockchain at present, the technology offers the potential to serve a very wide range of applications.
What Is A Blockchain?
At its core, blockchain is a distributed digital ledger that stores data of any kind. A blockchain can record information about cryptocurrency transactions and ownership of Non Fungible Tokens (NFTs).
While any conventional database can store this sort of information, blockchain is unique in that it’s decentralized. Rather than being maintained in one location by a centralized administrator—think of an Excel spreadsheet or a bank database—many identical copies of a blockchain database are held on multiple computers spread out across a network.
These individual computers are referred to as nodes.
How Blockchain Works
With blockchain, the digital ledger is described as a “chain” made up of individual “blocks” of data. As fresh data is periodically added to the network, a new “block” is created and attached to the “chain.”
This involves all nodes updating their version of the blockchain ledger to remain identical.
How these new blocks are created is key to why blockchain is considered highly secure. A majority of nodes must verify and confirm the legitimacy of the new data before a new block can be added to the ledger. For a cryptocurrency, they might involve ensuring that new transactions in a block were not fraudulent, or that coins had not been spent more than once.
This is different from a standalone database or spreadsheet, where one person can make changes without oversight.
“Once there is consensus, the block is added to the chain and the underlying transactions are recorded in the distributed ledger,” says C. Neil Gray, partner in the fintech practice areas at US-based Duane Morris LLP. “Blocks are securely linked together, forming a secure digital chain from the beginning of the ledger to the present.”
Transactions are typically secured using cryptography, meaning the nodes need to solve complex mathematical equations to process a transaction.
Continue reading: https://www.forbes.com/advisor/au/investing/cryptocurrency/what-is-blockchain/

SWIFT, the global system that banks use to manage cross-border payments, is giving blockchain technology a new appraisal, five years after it took its first look.
This time around, the Society for Worldwide Interbank Financial Telecommunications, is seeking to speed the transmission for data on corporate actions, events such as dividend payments, exchange offers and mergers that affect investors and money flows around the world. The current method involves data passing through an assortment of intermediaries before it reaches users such as asset managers, brokers and investment custodians, and the data can be contradictory or erroneous. End users must manually sort, compare and reconcile the data.
Blockchain might well be able to do it better. A hallmark of the technology is that blockchains are immutable ledgers, and a key advantage in this case is that they operate via consensus mechanisms that require agreement on the definition of each data item by a network of participants. In essence, this means a blockchain validates the data before registering it.
Leading financial institutions including CitigroupC -0.6%, Vanguard and Northern TrustNTRS +1.2% are participating in the trial.
“Innovation and emerging technologies, including blockchain and distributed ledger technology, are really interesting to us,” said Tom Zschach, chief innovation officer at SWIFT. “We're constantly looking for ways to validate the technology and to deliver the promise.”
Continue reading: https://www.forbes.com/sites/emilymason/2022/09/16/blockchain-technology-could-make-swift-data-flow-faster/?sh=612624366083

Before approving blockchain projects, businesses must consider the alternatives to blockchain that are now accessible.
Blockchain has swept the corporate world from its mysterious beginnings as the basis of Bitcoin. Businesses worldwide are looking at new ways to use the possibilities of blockchain technology to enhance their services and performance, regardless of the industry or economy. There are few examples of blockchain being used in any other business, even though blockchain’s first and most practical uses have evolved in cryptocurrencies, banking, and fintech. There is still much doubt over the blockchain’s capacity to produce actual business value. There are still many obstacles that the technology must overcome before it can be considered for any widespread application, notwithstanding the ongoing discussion about whether blockchain is suitable as a long-term foundation for a unified global transaction system. But that doesn’t imply that blockchain doesn’t have a future. Blockchain is here to stay, as proof by the popularity and survival of blockchain-based applications like Bitcoin, Ethereum, and other cryptocurrencies.
However, companies should be aware that blockchain is not a magic bullet that can fix all of their problems. Existing alternatives to blockchain technology can often solve business challenges more effectively and affordably. Businesses must consider these possibilities to make sure that their investment pays off well.
What can be done with a blockchain?
Theoretically, blockchain might be applied to applications that require decentralization, transparency, and immutability of records. As a result, it is well suited for industries like banking and finance, where transparency is becoming increasingly important. Both traditional and emerging banking and financial services businesses are considering using blockchain in payments and other areas of banking and finance. These companies intend to use blockchain to streamline payment networks, particularly peer-to-peer (P2P) transaction networks. By using blockchain to streamline these networks, all financial transactions would be carried out directly between the parties involved without any organization needing to control or monitor them.
Continue reading: https://blockchainmagazine.net/3-good-alternatives-to-blockchain-for-businesses/

Blockchain in business has caused a paradigm shift in digital currencies, finance, banking, and medical cases since it is a decentralized, open, and trustless ledger. Many different fields saw widespread adoption of the technology. Additionally, blockchain in business provides constantly changing and expanding infrastructures to remove security flaws, expedite management, prevent property theft, and promote the expansion and scaling of shelters.
P2P networks, a comprehensive data set that all players in a network may trust, have gained popularity with the release of Bitcoin in October 2008, ushering in a new era of trust. Ledger for trusted and shared transactions containing copies of encrypted and unchangeable data. Since 2008, several businesses and start-ups have been putting technology into practice.
Features that distinguish blockchain from competing technologies include:

• Offers total transparency
• carries out cost-effective operations
• Network data exchange that is seamless
• Include these steps for a successful blockchain implementation:

Because blockchain is completely decentralized, servers or machines with nodes can manage the network. The blockchain network is under the control of just one stakeholder. By allowing the stakeholder to either add to the blockchain or view it, the blockchain can be completely permissionless if the stakeholder so desires. They can also grant access to blockchains by limiting changes and viewing options.
Continue reading: https://blockchainmagazine.net/7-important-steps-to-implement-blockchain-in-business/

Exercise and good nutrition. Getting a good night's sleep. Spending less than you make. These are time-tested guidelines for a life that's well lived. Yet so many of us fail to follow these and many other common-sense practices that can prolong our lives, make us happier people or deliver long-term wealth.
Sadly, the same is true for data governance. We know it's good for business, but we consistently fail to get it done. This article explores why data governance remains a struggle for many organizations and how the principles underlying modern blockchain technologies can be used to help right the data governance ship.
The successful definition, management and implementation of policies to ensure the appropriate use of data have, for many regulated businesses, been non-negotiable. However, the depth of valuable insights trapped in ever-expanding volumes of data in the digital realm presents a massive opportunity. Increasingly, companies acknowledge data governance as a critical dependency to both protect and grow their businesses. If data is the new oil, then data governance—supported by solid data management practices—is the refining process that transforms low-grade corporate data sludge into high-octane rocket fuel.
In a world where disruption is the norm, companies that excel at data governance can digitally accelerate, and those that don't can be left behind.
Still, as important as data governance is, most struggle to leverage its benefits, while others simply ignore it altogether. In a 2021 Gartner, Inc. survey (subscription required), only 30% of business leaders said they had been successful in using governance to optimize data for business processes and productivity. A similar Gartner survey from 2020 showed that only 42% of leaders assess, measure or monitor governance performance.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/09/15/how-blockchain-can-save-data-governance/?sh=3a7374522a92

Blockchain technology advocates say it’s poised to disrupt numerous industries, ranging from finance to supply chain tracking and real estate. Blockchain promises to drastically transform the way data is stored and used, improving the transparency and security of transactions.
For these reasons, multiple industries have begun experimenting with the technology, and one of the most exciting segments is the travel industry, where it could potentially be transformational in many areas. 
First, a quick explainer. Though blockchain seems complicated, it’s quite a simple concept. It’s essentially just a ledger hosted across multiple public nodes that are used to store records of transactions. Each of these transactions is stored in a “block” secured with cryptography.
Because blockchain records are stored on many computers, the data is considered decentralized. Each block contains both transaction information and a time stamp, and they are stored on all of the nodes that make up the network. In this way, blockchain records cannot be altered without agreement across the network, a design that makes it almost impossible for someone to make changes without being noticed. 
Because blockchain originated with Bitcoin, the world’s first cryptocurrency, in 2009, many people assume that the technology only has practical applications within finance and related industries. But the truth is that distributed databases can provide benefits in many different kinds of industries. 
Continue reading: https://www.hackread.com/benefits-blockchain-travel-industry/

Women are not just entering the technology industry in higher numbers; we’re rebuilding it through entrepreneurship. The tech workforce is 28.8% women today, which is up about three percent from 2018. While a growing number of female STEM grads may contribute to that increase, I’m convinced it’s because we’re concentrating on owning a piece of the tech realm and not just contributing to it.
Entrepreneurship in technology is one of the most effective ways women can make an impact. Our leadership in top executive positions is not just a diversity celebration; it’s also good for business. A recent report shows that women-owned companies outperform the market, with their value increasing 143.6% from 2020.
Despite the charted growth, tech women continue to face industry challenges. In fact, women working in corporate STEM fields face barriers that are often never experienced by men. The result is an environment with bias, exclusion, extreme hours, and alienation, which leads to women leaving the field at a 45% higher rate than their male counterparts.
As a Barbadian American woman born of Afro-Caribbean descent, I have a unique perspective on corporate America. I often find, both for myself and other women venturing into technology, that in order to develop professionally, we must separate from our authenticity. An environment where it’s looked down upon to show up as yourself and contribute in a meaningful way (without pandering to mostly male leaders) is not where powerful women belong.
Let me be clear; however, neither I nor many of my female colleagues feel less qualified to hold the same or higher position than the men who run the vast majority of tech companies. There is no lack of competence or confidence. There is a resistance to the disruption women are bringing to the industry, but the change comes with innovation and revenue – a powerhouse duo that isn’t gender-specific.
Continue reading: https://therealtimereport.com/2022/09/19/women-in-tech-working-to-build-a-better-tomorrow/

Chemical engineering senior Haley Fuller has been around STEM her entire life. Despite coming from a family of engineers, Fuller will be the first female engineer in her family when she graduates.
Engineering and other STEM subjects are among the most male-dominated majors, with more women entering the field in recent years. Still, women's enrollment in these disciplines remains low.
According to a table found on LSU’s website that breaks up each department by gender for the fall 2022 semester, women make up 706 of the 3,134 students in the engineering department or less than 23% of the college.
Fuller enjoys her major but has experienced backlash from men in her field, including a professor.
“I actually had a discrimination remark made towards me my sophomore year, telling me that I'd be better off not in engineering because I'm a woman, and all kinds of other things,” Fuller said, noting that the professor who made these comments no longer works at LSU.
The professor would often put down female students and disregard their questions, Fuller said.
“I know a lot of other women have had that same issue. Anytime a question was brought up, [the professor] would completely ignore it if it was a woman who asked. But if a guy asked the same question, it was the best question,” Fuller added. “So that class, I ended up dropping… It was very frustrating.”
Fuller has been interning at the Department of Energy since January. While working at the headquarters in New Mexico, she noticed that she was surrounded entirely by men.
Continue reading: https://www.lsureveille.com/news/if-you-can-see-it-you-can-be-it-student-organizations-work-to-empower-women/article_1bcc3eb8-3624-11ed-bfb0-0ff89cc11449.html

For Albert Diaz, head of information technology careers at the Certus Institute, this position is due to existing gender stereotypes, pay and digital gaps; As well as the lack of leadership positions in the sector and scarce information about the industry.
“Although the presence of women in the technology industry has increased in recent years, the gender gap is still large. According to UNICEF, 5 out of 10 Peruvian teens consider not studying technology careers because of various biases that demonstrates that gender stereotypes and a lack of information about these careers hinder their participation, mentions Diaz.
This global scenario also presents its own challenges. In fact, a Gartner study shows that while women make up almost half of the workforce, they make up only 26% of the IT workforce. “At large companies such as Facebook, Apple, Google and Microsoft, this style occupies less than 25% of the actual technology jobs,” says the Certus expert.
Faced with this, and in order to promote education in IT careers in our country, the Certus Institute, Latina Television and Entrepreneurs for Education, launched the second edition of Becas Avanza, a program designed to start or resume studies in highly employable 10,000 is a program of half scholarship. Careers like technology. Latest vacancies are available at www.becasavanza.pe.
In line with this, the expert details five opportunities that the female public has in the technology sector:
Continue reading: https://worldnationnews.com/information-technology-know-about-the-opportunities-this-sector-offers-to-women/

As Chairperson of Digital Business Ireland, 28-year-old Ashley McDonnell has added multiple feathers to her (probably Dior) hat, not least overseeing the body's first in-person conference this week.
Taking place in Dublin's RDS and featuring representatives from Microsoft, Huawei, the Richmont Group and more, Business Beyond Borders explored the opportunities in technology and luxury, from inclusive technology to the role of the arts and humanities in tech.
We caught up with McDonnell in between speeches, and chatted about mentorship, self-care practices and more.
She chaired a panel of female entrepreneurs during the event, with Edel Lyons of The Rag Revolution, Helena McMahon of skincare and supplement brand Seabody, Niamh Tallon of Her Sport, Oonagh McCutcheon of .IE Digital and Breige Grogan of Little rock Digital.
During that chat, the women turned to the importance of mentors, both being one and seeking them out.
"The two themes that constantly came up were confidence – so building confidence in women, bringing them in to boardrooms from an early stage in their careers, giving them platforms – and secondly it was mentorship, and I think they go hand in hand."
Continue reading: https://www.rte.ie/lifestyle/living/2022/0915/1323591-ashley-mcdonnell-on-women-in-tech-mentors-and-self-care-rituals/

WHILE WOMEN AND girls in tech mean huge advancements for diversity in the tech industry, there’s still a significant challenge to tackle: including trans and nonbinary people in IT. Initiatives like Girls Who Code, Women Who Code and Women in Technology International are much more than well-meaning: They are necessary organizations for including more women in technical roles. It’s now well-known that education and inclusion of women in leadership roles mean better business. Women overall increase retention rates, are better at problem-solving and tend to be more loyal to the companies they work for. 
Statistics by Deloitte show that progress is slow for women in the workforce but even slower for women in tech. While 32.9 percent of women are part of the overall workforce, only 25 percent are working in tech. The leading faces of Fortune 500 companies are also male (think Mark Zuckerberg or Elon Musk).
However, there is a statistical gap between what is researched regarding women in IT and what is really going on, as most companies don’t report on specific factors like pay, life-work balance, and physical and mental well-being. There is not-so-measurable invisibility to be addressed here: the “women in tech” gap versus the “gender gap.” For gender nonconforming individuals, reports are even scarcer.
Who ‘Women in Tech’ Initiatives Leave Out of the Picture
Wired has written one of the few pieces regarding gender nonconforming individuals in tech roles. Statistics Canada produced one of the few reports regarding gender nonconforming individuals, building upon previous research done in 2016 in the United States. It’s easy to agree that “without data on this population, it is difficult for governments, service providers and other institutions to develop programs and policies that address the concerns and needs of this community. Statistical information on the transgender community is needed to develop inclusive policies, programs, and laws at the federal, provincial, territorial, and municipal levels in many areas […].” 
Continue reading: https://www.rollingstone.com/culture-council/articles/is-there-enough-diversity-women-in-tech-initiatives-1234591967/

As AI becomes more interconnected with our daily lives, the ethical questions for companies and individuals have become more complex. Businesses realize the importance of ethical AI and the reputational damage that can stem from being associated with a prejudiced algorithm or one that produces unethical outputs, and this is driving change. A decade ago, AI ethics was perhaps an afterthought, regarded only in the most apparent cases of harmful output. Today, ethics are increasingly considered early in the AI project lifecycle and incorporated during the requirements gathering process. 
Bias: a perennial challenge in AI 
A few key ethical issues have been present since the early days of AI and continue to be important in a business context as technology evolves. The first is bias.  
To fully understand the problem of bias, let’s start at the beginning of the lifecycle of an algorithm – a set of instructions and logical rules that execute to achieve an outcome, essentially the building blocks of AI. One of the first stages of creating an algorithm is gathering data on which to train the model with the challenge of making it robust. In many cases, priority goes to the quantity of training data over its quality or representativeness (in terms of both the content itself being representative and coming from a diverse and representative set of sources). An algorithm may be given diverse content from the internet or other public sources as training data, and the quality of web content cannot always be ensured. Within a set of data scraped from the web, certain populations might be over- or under-represented, bias in how content is presented, and the content itself may even be false. If an algorithm is trained on biased data, its output is likely biased, and the impact can be far-reaching. 
The risk of malicious manipulation of algorithms 
Another issue in AI ethics that could become more prominent as technology evolves is the malicious use of algorithms. This issue is perhaps more straightforward and less prevalent than the issue of bias, making it a less significant threat in a business context.
Continue reading: https://www.spiceworks.com/tech/artificial-intelligence/guest-article/forging-a-future-with-ethical-ai/

There continues to be an ongoing war for IT talent. This is especially true in IT Ops, where the stress of managing an ever-increasing load of digital services makes it hard to retain great people. If you are in IT Ops, you know it can be challenging to keep your mind off work as the next outage is always looming somewhere. 
At the same time, there is also a deepening skills shortage in the global workforce. Companies cannot hire quickly enough to meet the demand due to these shortages. To make matters worse, the U.S. is facing a potential recession that could force IT organizations to do even more with already limited resources. This means that companies will not be able to hire the extra bandwidth they need. This is where AI can help. 
Once a major concern that it would take jobs away from humans, AI has proven to be a lifesaver in tech because it helps to lessen workloads, supplement skills and increase resources. As organizations increasingly turn to AI to help augment business processes, it is essential that IT teams use AI effectively to get the most from human and AI collaboration.
Let’s take a closer look at three benefits of AI in addressing these shortages and how it can help organizations do more with existing resources.
Continue reading: https://www.spiceworks.com/tech/it-careers-skills/guest-article/ai-can-address-the-talent-and-skills-shortage/

Are you self-aware?
I’d bet that you believe you are.
The thing is, supposedly, few of us are especially self-aware. There is a range or degree of self-awareness and we all purportedly vary in how astutely self-aware we are. You might think you are fully self-aware and only be marginally so. You might be thinly self-aware and realize that’s your mental state.
Meanwhile, at the topmost part of the spectrum, you might believe you are fully self-aware and indeed are frankly about as self-aware as they come. Good for you.
Speaking of which, what good does it do to be exceedingly self-aware?
According to research published in the Harvard Business Review (HBR) by Tasha Eurich, you reportedly are able to make better decisions, you are more confident in your decisions, you are stronger in your communication capacities, and more effective overall (per article entitled “What Self-Awareness Really Is (and How to Cultivate It).” The bonus factor is that those with strident self-awareness are said to be less inclined to cheat, steal, or lie. In that sense, there is a twofer of averting being a scoundrel or a crook, along with striving to be a better human being and embellish your fellow humankind.
All of this talk about self-awareness brings up a somewhat obvious question, namely, what does the phrase self-awareness actually denote. You can readily find tons of various definitions and interpretations about the complex and shall we say mushy construct entailing being self-aware. Some would simplify matters by suggesting that self-awareness consists of monitoring your own self, knowing what yourself is up to. You are keenly aware of your own thoughts and actions.
Continue reading: https://www.forbes.com/sites/lanceeliot/2022/09/18/ai-ethics-and-the-quest-for-self-awareness-in-ai/?sh=1055051916ac

Investing is one of the most quantitatively intensive fields there is. Still, it is cluttered with old-school models that are simple and heuristic-based. The new-age millennial investors recognize the power of artificial intelligence. They are increasingly looking to utilize the power of AI to democratize the world of investing and get access to tools to invest, like professional Wall Street investors.
Artificial Intelligence has had an enormous impact and has surpassed humans in many fields, from gaming to computer vision to self-driving cars. Artificial Intelligence can create a competitive edge to extract actionable insights in the complex framework of the financial markets with their ever-changing dynamic nature, hundreds of noisy factors affecting performance, and non-linear interactions. There are no areas in investing, from modeling returns to reducing risk to even reducing costs, where AI does not have a better solution than a human.
The first users of AI in investing were the famous global hedge funds, with mathematicians like Jim Simons using proprietary AI models to make a killing in the market in the last half-century. But now, the use of AI is becoming more and more mainstream. Robo-advisors use automated, algorithm-driven models to analyze the markets and optimize our investments. So AI is slowly but surely coming everywhere.
In today’s day and age, AI-driven investing provides a transparent and flexible way to invest for the new-age investor who wants to be in the driver’s seat. AI-driven advisors solve critical problems that the investor faces with these tools, from asset allocation to stock selection to reducing trading costs. Globally asset managers, brokerages, hedge funds, and Robo-advisors are increasingly adapting to AI, and the research work on the subject is growing in leaps and bounds.
Continue reading: https://timesofindia.indiatimes.com/blogs/voices/how-can-artificial-intelligence-be-used-in-investing/

Decision intelligence (DI) is how people make business decisions, regardless of their role or industry. It bridges the gap between analytics-focused data and AI platforms.
The key factor in decision intelligence is its focus on outcomes, emphasizing results, which gives both commercial decision makers and technical teams a space to address actual business issues.
What decision intelligence is not is removing humans from the decision-making process completely. It’s about empowering humans with AI and creating a more holistic, convenient view of all of your business’ data to allow them to make the best decision possible.
Why Decision Intelligence Is A Top Trend Today
- Research shows the more data you have, the better—no matter what decision you are making.
- According to an estimate from Gartner, "By 2023, more than 33% of large organizations will have analysts practicing decision intelligence, including decision modeling."
- IDC predicts that "By 2025, three-fourths of large enterprises will face blind spots due to a lack of intelligent knowledge networks."
In an overarching paradigm shift where data is eating the world, many organizations realize that to remain competitive, meet your customer demands, foster innovation and be responsive to change, you need to thrive to become more data- and AI-driven.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/09/16/why-decision-intelligence-is-the-next-digital-transformation/?sh=2cbfb7ca5ba9

Over the summer, the U.S. and Europe experienced heat waves that ignited raging fires and caused undue human suffering. In the U.S., in places like Texas, the extreme weather forced power grid operators to implement rarely used emergency measures to avoid rolling blackouts amid surging electricity demand. Wholesale electricity prices skyrocketed to $5,000 per megawatt-hour as consumers cranked up their AC to stay cool.
In North Carolina, multiple days of 100-degree Fahrenheit weather put the power grid under almost unbearable strain. The state utility registered a one-day summertime record for electricity usage, peaking at 21,086 megawatt-hours of electricity.
Ahead of the summer season, the North American Electric Reliability Corporation (NERC) had warned that the majority of the U.S. power grid was at risk of failure, unable to support the increased consumption brought on by the heat waves experienced in Texas, the Carolinas and much of the U.S. this past summer. With climate change, these extreme weather events are becoming more common and severe.
For many years, grid reliability wasn’t such a pressing issue because most of our power was generated by fossil fuels, including natural gas, which, unlike renewables, never stops flowing, regardless of whether the sun is shining or the wind is blowing. Today, however, the grid relies much more on renewable sources, including solar and wind power, which account for about 12% of U.S. electric generation, according to the U.S. Energy Information Administration.
Continue reading: https://www.forbes.com/sites/sk/2022/09/15/artificial-intelligence-can-bring-real-solutions-to-the-power-grid-crisis/?sh=350ba2bf26cc

I believe that artificial intelligence (AI) is one of our most important technological innovations but that we’re still in the early stages of AI maturity, with much still to be achieved across industries. This pivotal technology will have an endless number of applications, and there will be many paths for innovators to shape its future.
Technology that helps machines understand the way people communicate is one of the most promising new breeds of AI. As globalization continues, the translation and localization industry represents a key area for AI innovation, and several companies in the space have undergone a transformation into AI-powered businesses to inform new language-oriented applications.
What does the future look like for these players? What are the most important customer needs driving it, and what types of organizations will emerge to support this evolution?
Simplifying The Complexity Of Language
There are more than 7,100 languages spoken in the world today. Grammar provides structure to language, and the free components that make up most of its meaning are its vocabulary. But there are translation and localization challenges that go beyond the structure of language itself. These include figures of speech, sarcasm and irony, compound verbs like “look up” or “get over,” which may not translate to other languages, as well as words with multiple meanings or no equivalent in another language. Each of these can be more easily solved with today’s AI technology.
Companies that want to access new markets with end users in different languages should prioritize making sure their AI solutions can respond accurately to users in their native languages. This requires training them with high-quality language data that has been sourced from native speakers or, in the case of search engines and social media, that query results, advertisements and more have been evaluated by individuals who have local context from their specific region of the world.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/09/14/translation-localization-and-the-many-paths-to-ai-innovation/?sh=1147e0c12020

More than a third of companies use artificial intelligence (AI), while another 42% are exploring their AI options, according to IBM's recent Global AI Adoption Index. AI adoption looks easy, thanks to rapid advancements in AI technology and the availability of off-the-shelf AI tools.
But in reality, as other recent research makes clear, some companies are struggling with AI. Accenture reports that only 12% of AI adopters are currently using AI "to outpace their competitors," while nearly two-thirds (63%) are still in the experimentation phase—"barely scratching the surface of AI’s potential." Multiple reports show that it is common for AI models to never make it into production. 
So where are companies going wrong? There are four common possibilities.
The Problem of Unrealistic Expectations
A reality sometimes lost in between the fear of AI and the hype of AI (such as with Watson, GPT-3, and AlphaGo) is that AI has its limitations. Business leaders often overlook this. They fail to understand what AI can and can’t do for their business and have unrealistic expectations.
Sure, AI is a powerful new technology. It makes sense of unstructured data and gives insights that humans miss. But it isn’t magic. AI relies on mathematical modeling, and its solutions are often probabilistic. Today, enterprises use narrow AI that does specific tasks—not general AI, the kind in sci-fi movies.
Even IBM, which claimed Watson would be the intelligent digital assistant for everyone everywhere, settled for a humbler version of the tech. The company set out to make sense of all medical data to improve cancer treatment—but in the end, it failed. Ultimately, the division was discontinued. Former IBM executives noted that their unrealistic AI goals set Watson up for failure because the tech was not advanced enough to meet those goals. This brings us to the first lesson.
Continue reading: https://techbeacon.com/enterprise-it/why-isnt-ai-working-your-business

With the rapid development of artificial intelligence (AI), there is no doubt that this technology is starting to have a profound impact on our lives. One of the most controversial topics surrounding AI is whether or not it will eventually lead to large-scale job losses.
There are certainly some jobs that AI is already starting to take over. For example, many retail stores are now using self-checkout kiosks instead of human cashiers. And there are many other examples of tasks that can now be performed by AI-powered software, such as customer service, data entry, and even legal research.
But what about the advantages of AI? How can artificial intelligence protect us from devastating cyber attacks? Some cybersecurity companies are already taking advantage of AI for good.
What is Cybersecurity?
Cybersecurity is the practice of protecting electronic information by mitigating information risks and vulnerabilities. Information risks can include unauthorized access, disclosure, interception, or destruction of data, etc. Data can include but is not limited to, the confidential information of businesses, banks, or individual users.
In cybersecurity, vulnerabilities are weaknesses in systems or devices that can be exploited by attackers to gain unauthorized access to data or servers. Common vulnerabilities include insecure software design, 0-days, configuration errors, and poor user management practices. Attackers can exploit these vulnerabilities to gain access to sensitive data or systems, often without the knowledge of the victim/target.
There are many different types of cybersecurity threats, including viruses, worms, Trojans, phishing attacks, ransomware, insiders, SQL injection attacks, denial-of-service attacks (DDoS attacks), etc.
Continue reading: https://www.hackread.com/why-artificial-intelligence-must-cybersecurity/

Pay transparency measures can help expose pay differences between men and women and identify the underlying causes, according to a new paper by the International Labour Organization (ILO).
On average, women, are paid about 20 per cent less than men, globally. While individual characteristics such as education, working time, occupational segregation, skills and experience, explain part of the gender pay gap, a large part is due to discrimination based on gender.
In addition, women have been among the worst affected by the COVID-19 pandemic, including in terms of their income security, disproportionate representation in some hardest-hit sectors, and the unequal and gendered division of family responsibilities. These factors negatively affected women's employment, threatening to reverse decades of progress made towards gender equality.
The new ILO study, Pay transparency legislation: Implications for employers' and workers' organizations , finds that pay transparency measures can help to address the gender pay gap and reduce broader gender inequalities in the labour market. Pay transparency may provide workers with the information and evidence they require to negotiate pay rates and provide them with the means to challenge potential pay discrimination. For employers pay transparency can help to identify and address pay discrimination that might otherwise negatively affect the functioning of the enterprise and their reputation.
The study offers a detailed mapping of existing equal pay legislation in countries worldwide and discusses arguments for and against pay transparency legislation. The paper also pays attention to the role of employers' and workers' organizations and presents the findings of an online survey of social partner organizations that assesses their understanding of how pay transparency measures are implemented and seeks their views on how to improve their application.
While countries are using a variety of approaches – such as periodic pay disclosure, pay audits, and giving workers the right to access pay data – a proactive approach by governments to engage with employers' and workers' organizations during negotiations for and the design of pay transparency legislations is important. The paper finds that active social partnership is crucial in delivering the results intended by legislation and – most critically – to eliminate pay discrimination in the world of work.
The findings of the paper will be among the topics discussed at a webinar on 16 September, organized by the Equal Pay International Coalition (EPIC) to mark International Equal Pay Day 2022.
Continue reading: https://www.devdiscourse.com/article/headlines/2183561-pay-transparency-measures-can-help-to-address-gender-pay-gap-ilo

We asked some of the top tech pros in the business, as well as business owners who have found success working with cloud platforms for insight into cloud management as we close out 2022 and look ahead to 2023.
There was no argument that cloud computing offers powerful business solutions, scalability and secure data storage. Our experts were excited to share their thoughts and tips on how best to utilize cloud computing, prepare for migration, equip staff for changes, secure your data and what to expect in the future.
[Answers have been edited for length and clarity.]
 
Set Yourself Up for a Successful Migration
If you haven’t already migrated to a cloud platform, there is work to be done. David Colebatch, CEO of Tidal Migrations boils it down to three key points:
1. Architect for scale
Arm your teams with self-service requests for cloud accounts and subscriptions. Treat accounts as a billing and security construct that allows you to assign budgets to each project team. When they're done with their project, simply shutdown the accounts. This is how you can limit sprawl while also empowering teams to be self-service.
2. Inventory all the things
 
Create a single-pane-of-glass inventory for all your applications, both on premises and in the cloud. Change is a constant, yet many enterprises lack the data driven insights about their applications and where components need to be upgraded or replatformed to run more efficiently. Identify your application owners, analyze their source code and architectures and drive cloud-native architectures.
3. Consolidate your IP addresses across clouds and on-premises
Sprawl is hard to measure if you don't have a consolidated inventory of IT assets to begin with. Consider adopting modern tools, like the Tidal LightMesh IPAM solution to create a consolidated inventory of all your IP addresses across AWS, Azure and Google - as well as on-premises.
 
Sudhir Mehta, Global Vice President, Optra Engineering & Product Management at Lexmark also offers these steps to start your migration and business cloud strategy:
 
“1 . Establish business outcomes to why you are going to the cloud
A cloud migration simply for the sake of doing a cloud migration can be fraught with unexpected challenges. Without any defined outcomes and guardrails, you risk underestimating the spend – leading to stalling – before any reasonable migration gets off the ground. Before you move anything, know why you are moving it, what the transition plan is, alignment across key stakeholders and the agreed upon results you are looking to achieve. A successful migration must drive tangible business outcomes over an established timeframe with well-defined phases. Start by defining acceptable phased solutions to potential challenges and headwinds. For example, does your organization have difficulty in accessing and sharing data as needed? How secure are the application resources and the related data, which is stored, and do you have the ability to scale on storage based on needs?
Continue reading: https://www.techopedia.com/expert-tips-for-your-business-cloud-management-strategy/2/34850