An elevator that always seems to be there when you need it. A dentist who rarely, if ever, misses scarcely noticeable cavities. A travel website that books an entire ideal vacation with minimal effort on your part. These are just some of the barely perceptible ways that artificial intelligence is helping to make people’s lives easier and allowing companies to both increase efficiency and innovate.
The above examples were among many discussed at Fortune’s virtual roundtable discussion, Leading With A.I., on Wednesday, with C-suite leaders from a wide range of sectors detailing their companies’ use of this technology, now and in the future. Much of the talk was spurred by a recent Accenture survey of executives on A.I., which showed that companies who invested in this area were much more likely to experience higher revenue and share prices.
Of the 1,600-plus companies surveyed, only 12% were considered to have achieved “A.I. Maturity,” which Accenture defines as having “mastered A.I.-related capabilities in the right combination to achieve high performance for customers, shareholders, and employees.” They expect that number to increase to 27% by 2024, mainly because these businesses have seen, on average, 50% higher growth in revenue over firms that are slower to develop their artificial intelligence capabilities.
Many of the executives participating in the roundtable emphasized the ways that A.I. is allowing them to go beyond efficiency-improving and time-saving tasks to predict and avoid issues that could negatively impact their customers. Visa, for example, is continually updating its deep-learning systems to flag fraudulent transactions, preventing a staggering $26 billion in worldwide losses per year while also reducing the amount of mistakenly declined payments by 30%. According to Visa’s senior director and head of government advisory, Michael Nunes, this goes beyond just standard credit card use.
Continue reading: https://fortune.com/2022/06/08/artificial-intelligence-innovation-efficiency/

There is no shortage of visionary scenarios about how Web3 might unfold, but one of the latest, “Decentralized Society: Finding Web3’s Soul” — a paper published in mid-May by E. Glen Weyl, Puja Ohlhaver and Vitalik Buterin — is close to becoming one of the top 50 most downloaded papers on the SSRN scholarly research platform.
The attention, one might suspect, has much to do with the participation of Buterin, blockchain’s wunderkind and the legendary co-founder of the Ethereum network. But it could also be a function of the paper’s ambition and scope, which includes asking questions like: What sort of society do we really want to live in? One that is finance-based or trust-based?
The authors illustrate how “non-transferable ‘soulbound’ tokens (SBTs) representing the commitments, credentials and affiliations of ‘Souls’ can encode the trust networks of the real economy to establish provenance and reputation.” These SBTs appear to be something like blockchain-based curricula vitae, or CVs, while “Souls” are basically people — or strictly speaking, individuals’ crypto wallets. However, Souls can also be institutions, like Columbia University or the Ethereum Foundation. The authors wrote:

“Imagine a world where most participants have Souls that store SBTs corresponding to a series of affiliations, memberships, and credentials. For example, a person might have a Soul that stores SBTs representing educational credentials, employment history, or hashes of their writings or works of art.”

Click to expand...

“In their simplest form, these SBTs can be ‘self-certified,’” continue the authors, “similar to how we share information about ourselves in our CVs.” But this is just scratching the surface of possibilities:
Continue reading: https://cointelegraph.com/news/struggle-for-web3-s-soul-the-future-of-blockchain-based-identity

Packing for California was, for the most part, easy. If I couldn’t wear it in 100-degree heat or to my big tech internship, it went into storage. With near mechanical precision, I divided my wardrobe into “leave” and “take” piles. 
But there was one item that stumped me. Six months ago, my friend sent me a tweet with a picture of a t-shirt that read “Disgraced founder of Theranos Elizabeth Holmes” — a shirt I now hold in question. I bought it on a whim in the middle of class after realizing I had saved my credit card information to Etsy. I thought it was ironic, perhaps something to differentiate me from my peers. “I’m not like other people in tech,” the shirt would say. “I can critique Holmes and start-up culture.”
Elizabeth Holmes, with her faux deep voice, signature black turtleneck and inexplicable charisma, was an enigma even before her crimes were discovered. She’s the subject of best-selling books, award winning journalism and even a Hulu miniseries. At the age of 19, Holmes dropped out of Stanford to start what would become Theranos, a biotechnology company that claimed it could perform a suite of tests with just one drop of blood. Later, an investigation into the company revealed the blood testing technology didn’t actually work — but not before Holmes had raised over $700 billion in venture capital and defrauded countless investors including former Secretary of State Henry Kissinger, future Trump Secretary of Defense Jim Mattis, the DeVos family, an ex-Wells Fargo chairman and two former U.S. senators.
In a highly publicized trial, Holmes was found guilty on January 3 of three counts of wire fraud and one count of intent to commit wire fraud. As former Theranos patients expressed outrage at the jury’s failure to find Holmes guilty of defrauding patients, a squad of internet cheerleaders rooted for their favorite “femme fatale.” Some fans even took it upon themselves to wait outside the courthouse, eager to catch a glimpse of their hero. 
She raised millions of dollars on lies. She built a multi-billion dollar company on impossible claims and shoddy science. She hurt innocent patients. She’s a girlboss, the embodiment of women in tech. 
Continue reading: https://www.michigandaily.com/statement/elizabeth-holmes-patron-saint-of-women-in-tech/

For Brittany Greenfield, it’s a case of one step forward and a half-step backward in terms of women making career progress in cybersecurity one year only to lose ground the next.
“It’s been frustrating,” said Greenfield, founder and CEO of Wabbi, a Boston-based application security orchestration and correlation company. “There’s been progress over the years, yes. But it’s something in which we haven’t seen the needle move much lately.”
Greenfield’s sentiments are echoed by other female cybersecurity leaders who talked to CRN and are attending this week’s RSA Conference in San Francisco.
The general consensus: There have been encouraging signs of women gaining influence, clout and investment funds within cybersecurity, a field that has exploded over the past two years.
Lynn Dohm, executive director of the Women in Cybersecurity organization, said the statistics do show women gradually making workforce gains.
In 2014, only 11 percent of the cybersecurity workforce was made up of women, but that number stands at 20 percent to 24 percent of the workforce today, depending on the survey, Dohm said.
“So there has been some progress, but clearly not enough,” said Dohm, whose organization has about 5,600 members in 70 countries.
She said it’s important to get men involved in recruiting more women into cybersecurity. It’s not just a matter of fairness. It’s also a way to help relieve the acute labor shortage cybersecurity is experiencing, Dohm said.
At the RSA Conference, Dohm will speak at the “Level Up Leadership Traits Through (WiCyS) Mentoring” session Tuesday.
Sharon Goldberg, co-founder and CEO of BastionZero, a Boston-based cybersecurity company, said the general attitude toward women in technology 20 years ago, when she first started her career, was condescending. Men routinely questioned whether women were competent enough to succeed, she said.
A computer-science professor at Boston University and a member of the BU Security Group, Goldberg said she’s treated more seriously these days. But she said that’s largely due to her being a professor and CEO of a company—and that other women are still struggling against bias within the industry.
Continue reading: https://www.crn.com/slide-shows/security/10-women-who-are-making-a-difference-in-cybersecurity/1

Today’s Woman in Tech: Akila Narain, Director, Technical Program Management at Meta
Akila Narain is a Director, Technical Program Management for Portal at Meta. As head of the Technical Program Management (TPM) function, Narain supports a team of TPMs who run the planning, execution and shipping of Meta Portal video calling devices.
Prior to Meta, Narain was Manager, Fire OS TPM at Amazon where she was responsible for the TPM team that delivered Fire OS firmware for Amazon Echo, Fire TV and Fire Tablet products. She also held development and business consulting positions for a variety of top technology companies in Silicon Valley. Narain holds a Bachelor of Technology, Electronics and Communication Engineering from Pondicherry University, India.
When did you become interested in technology? What first got you interested in tech?
I started my career as an engineer coding for mainframes, but after about seven years, I pivoted into a sales role, pitching software as a service to Silicon Valley companies.
I wanted to get out from behind the scenes to be on the frontline, understanding the business better and building relationships. But when I went out on sales calls, I kind of felt like an uninvited guest who had to convince the people on the other side of the table why I was there and why they needed my product. It was a stark difference from being an engineer, where people — even company leaders — would seek me out for my opinion and expertise.
After about three years, I realized that my true passion was in bringing a concept to life and decided to switch back to engineering.
Continue reading: https://jaxenter.com/women-in-tech-narain-177614.html

Cyber attacks and their associated costs are growing exponentially. With the advancement of technology in businesses such as the Internet of Things (IoT), more and more devices are connected to the internet. As such, it’s becoming increasingly difficult to tackle these attacks manually. This is where artificial intelligence in cybersecurity (i.e., AI cybersecurity) comes in. 
In general, cybersecurity is all about protecting your organization against cyber attacks that can result in: 

• Theft and damage of important data and intellectual property, 
• Stolen funds and fraudulent wire transfers, 
• Stolen private and business data, 
• Reputational harm, and
• Non-compliance issues. 

Such attacks, if successful, can cause serious losses to your business and damage customer relationships. With this in mind, it’s imperative that you take steps to help make your organization and its data as secure as possible against attackers. 
AI cybersecurity efficiently reduces breach risks with real-time monitoring and has the capacity to handle situations that are no longer of human scale. Integrating advanced cybersecurity techniques by employing artificial intelligence can help you protect your business from cyberattacks and their devastating consequences.
Let’s hash it out.
What Artificial Intelligence In Cybersecurity Entails
In any domain, artificial intelligence is primarily used to study and learn from data in order to improve decision making. AI can be utilized to scale the operations of cyber threat detection and sort through all the “noise.” This enables you to evaluate which approaches to take based on those specific threats so you can make better data-driven decisions concerning cyber security.
Continue reading: https://www.thesslstore.com/blog/5-real-world-ai-cybersecurity-applications-that-may-benefit-your-business/

The last 10 years have brought tremendous growth in artificial intelligence. Consumer internet companies have gathered vast amounts of data, which has been used to train powerful machine learning programs. Machine learning algorithms are widely available for many commercial applications, and some are open source.
Now it’s time to focus on the data that fuels these systems, according to AI pioneer Andrew Ng, SM ’98, the founder of the Google Brain research lab, co-founder of Coursera, and former chief scientist at Baidu.
Ng advocates for “data-centric AI,” which he describes as “the discipline of systematically engineering the data needed to build a successful AI system.”
AI systems need both code and data, and “all that progress in algorithms means it's actually time to spend more time on the data,” Ng said at the recent EmTech Digital conference hosted by MIT Technology Review.
Focusing on high-quality data that is consistently labeled would unlock the value of AI for sectors such as health care, government technology, and manufacturing, Ng said.
“If I go see a health care system or manufacturing organization, frankly, I don't see widespread AI adoption anywhere.” This is due in part to the ad hoc way data has been engineered, which often relies on the luck or skills of individual data scientists, said Ng, who is also the founder and CEO of Landing AI.
Data-centric AI is a new idea that is still being discussed, Ng said, including at a data-centric AI workshop he convened last December. But he pointed to some common problems he sees with data:
Continue reading: https://mitsloan.mit.edu/ideas-made-to-matter/why-its-time-data-centric-artificial-intelligence

You've probably heard for years that the workforce would be supplanted by robots. AI has changed several roles, such as using self-checkouts, ATMs, and customer support chatbots. The goal is not to scare people, but to highlight the fact that AI is constantly altering lives and executing activities to replace the human workforce. At the same time, technological advancements are producing new career prospects. AI is predicted to increase the demand for professionals, particularly in robotics and software engineering. As a result, AI has the potential to eliminate millions of current occupations while also creating millions of new ones.
Among the many concerns that AI raises is the possibility of wiping out a large portion of the human workforce by eliminating the need for manual labor. But it will simultaneously liberate humans from having to perform tedious, repetitive tasks, allowing them to focus on more complex and rewarding projects, or simply take some much-needed time off.
According to a McKinsey report, depending on the adoption scenario, automation will displace between 400 and 800 million jobs by 2030, requiring up to 375 million people to change job categories entirely.
These figures can make people feel uneasy and anxious about the future. However, history suggests that this may not be the case; there is no question that some industries will be transformed to the point where they no longer require human labor, leading toward job redefinition and business process reform. For eg, the diagnosis of many health issues could be effectively automated, making doctors focus on other major issues that need their attention. In terms of replacing humans completely, human labor is and will continue to be necessary for the foreseeable future.
Continue reading: https://economictimes.indiatimes.com/news/how-to/four-skills-that-wont-be-replaced-by-artificial-intelligence-in-the-future/articleshow/92061190.cms

In the last several years, artificial intelligence (AI) has stirred up a great deal of conversation. With 80% of organizations have already adopted some form of automation technology since the pandemic, it is quickly becoming a mainstream concept in the world of business.
AI is proving to be a valuable asset in many different areas, one area being content creation. It is no secret that content has become an integral part of business marketing strategies in 2022, and due to the ever-present demand to produce high-quality content on a regular basis, the challenge to remain consistent has become imminent. AI has lent its hand to writers and is positioned to support content creation in a multitude of ways.
Here are five ways content creators are incorporating AI into their content strategy.
1. Automate content creation. In 2022, content writing can feel like a considerably high-pressure job. It requires vigorous research before the writing even begins, and once the content is finally pieced together, it is back to the drawing board to find another topic to write about and do it again.
Until now, we've always sacrificed quality with AI lagging. With the release of GPT-3 by OpenAI, natural language processing (NLP) is finally able to produce human-like content that incorporates emotions, culture and even biases. NLP is the fancy way of explaining how computers process and analyze large amounts of human language data. When you input your basic information into an AI content creation software, it scans millions of websites for data related to your entry and creates the best content using proper grammar and guidance. This can be used to set writers up with a great foundation that sufficiently accelerates the writing process.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/06/08/five-ways-marketers-are-using-ai-to-elevate-their-content-marketing-strategy/?sh=3cac2ed41f40

A number of high-profile whistleblowers in the technology industry have stepped into the spotlight in the past few years. For the most part, they have been revealing corporate practices that thwart the public interest: Frances Haugen exposed personal data exploitation at Meta, Timnit Gebru and Rebecca Rivers challenged Google on ethics and AI issues, and Janneke Parrish raised concerns about a discriminatory work culture at Apple, among others.
Many of these whistleblowers are women—far more, it appears, than the proportion of women working in the tech industry. This raises the question of whether women are more likely to be whistleblowers in the tech field. The short answer is: “It’s complicated.”
For many, whistleblowing is a last resort to get society to address problems that can’t be resolved within an organization, or at least by the whistleblower. It speaks to the organizational status, power and resources of the whistleblower; the openness, communication and values of the organization in which they work; and to their passion, frustration and commitment to the issue they want to see addressed. Are whistleblowers more focused on the public interest? More virtuous? Less influential in their organizations? Are these possible explanations for why so many women are blowing the whistle on big tech?
To investigate these questions, we, a computer scientist and a sociologist, explored the nature of big tech whistleblowing, the influence of gender, and the implications for technology’s role in society. What we found was both complex and intriguing.
Continue reading: https://www.fastcompany.com/90758593/here-is-why-are-so-many-big-tech-whistleblowers-are-women

Women are under-represented in STEM careers, especially in engineering fields. Anushree Bag started with a master’s degree in electrical engineering and has risen in her career to currently serve as executive director, Enterprise GRC and Resiliency Services for the Indiana Office of Technology. She also founded Government Women in Technology (GWIT), a platform to support women in their technology careers. In this Q&A, she shares her thoughts and experiences on creating an inclusive culture where women can thrive.
Q: In 2020, you founded Government Women in Technology in Indiana. What inspired you to create this first-of-its-kind state initiative? There are so few of us in this field, so I wanted us to have a safe space where we could find each other — a place that gives us identity, a community and a common purpose to help each other be successful. I wanted a platform where we can get inspired by each other’s successes and also learn from each other’s mistakes. I wanted a thriving, supportive and uplifting environment where women feel enabled, empowered and elevated. Last but not least, I’m a big fan of Seth Godin, who wrote Purple Cow: Transform Your Business by Being Remarkable. Seth says the key to success is to find a way to stand out — to be the purple cow in a field of monochrome Holsteins. Women have served in technology roles in state government for years, sometimes decades, but no one thought of starting a group like this. I was absolutely new to state government, but I thought creating our own platform would be a great way for us to stand out.
Continue reading: https://www.govtech.com/sponsored/creating-fertile-ground-for-women-in-stem

Decentralized Finance (DeFi) is a blockchain based method of making financial transactions. Unlike a bank, which pays the consumer interest for deposits, which it uses to make loans at a slightly higher rate, a DeFi transaction is mediated by a protocol, not a middleman who gets additional fees for services. DeFi cuts out the bank, and instead runs the transactions through a marketplace, theoretically saving money, speeding the transaction, and adding security with a blockchain-based transaction.
The hallmarks of emerging technology are two fold: lots of conferences and confusion over language. People in immersive computing continue to reject the catch all XR, insisting on AR/VR instead. No one cares anymore, honestly. And there are far fewer conferences about AR and VR. They are about Metaverse and web3 now.
Current uses of web3 Technology
web3 is an approach to decentralizing the internet using peer-to-peer protocols to create a decentralized open network free of gatekeepers like Apple, Amazon, Meta and Google. The term was introduced by Ethereum co-founder Gavin Wood in 2014 and popularized last year when leading technology venture capital firms established multibillion dollar funds for new web3 projects.
A good example of the decentralizing power of web3 technologies is Otoy, a company you’ve probably never heard of because it works quietly in the background of the games and entertainment business, helping to turn the work of artists, captured as code, into 60 frames per second of high-resolution 2D or 3D images. This process is called “rendering”. Otoy adds a proprietary "secret sauce" of AI and machine learning to make the process faster and cheaper while eliminating “noise” or mistakes that sometimes mar the output. While you’re not using your computer at night, Otoy rents your processing power. Producers pay for processing with render tokens (RNDR) which can be sold for cash on a crypto exchange, and fluctuate in value depending on demand.
Continue reading: https://www.forbes.com/sites/charliefink/2022/06/06/defi-web3-and-the-meta-metaverse/?sh=65ad68596802

In late May, European Central Bank President Christine Lagarde told a Dutch television show that cryptocurrencies are “worth nothing.” She’s not alone in her sentiments. Since volatility shook the digital currency market earlier in the month, many economic observers and officials have declared the great crypto experiment dead, and with it the promise of a Web3 future.
But these critics are missing the bigger picture. With a record $30 billion in capital flooding the digital asset market in 2021—nearly four times the amount in 2018—and recent polls showing one in five Americans have engaged in some way with digital currencies, it’s illogical to write off crypto every time its market value dips.
Even since the recent crash, Andreessen Horowitz announced the formation of a $4.5 billion crypto fund and Nomura said it would create a new firm to allow customers to invest in crypto assets. Why would these major players make such moves if they weren't confident in the future?
Instead, officials like Lagarde should think more deeply about how to best incorporate digital currencies into our financial future.
That future will not only involve the widespread use of cryptocurrency as a means of value exchange, but also increased adoption of the blockchain architecture that underlies it. Such a system, commonly referred to as Web3, will provide individuals and enterprises with more secure data, better means of creating new products and services, and more seamless integration of technology into their everyday activities. And that’s not an exhaustive list: More applications will doubtlessly surface as blockchain technology matures and more people take advantage of it.
If we could step into a time machine and travel to 2030, here’s what I’d expect we’d see happening in the crypto space.
Continue reading: https://fortune.com/2022/06/07/web3-crypto-crash-tech-finance-price-future-outlook-coinchange-maxim-galash/

Human society in the 21st century is faced with numerous global-scale challenges and systemic risks. These challenges include climate change, misinformation, an insecure digital infrastructure and a lack of economic prosperity. And while solutions for some of these problems are available, they go unsolved because not enough people, groups or nation states have come together to address them in a coordinated way.
Our legacy institutions are not equipped to handle these issues, largely because individuals are focused on their own interests, and nations are focused on their own citizens, leading them down paths that help them but harm the overall system. These sorts of problems are known as “coordination failures.”
But we aren’t trapped forever in this death spiral. With the dawn of Web 3, there is an opportunity to build a better world for our generation and beyond. We can leverage the properties of Web 3 to design crypto-economic systems that are regenerative: systems that are resilient and sustainable, and align conflicting priorities toward the greater good.
Know thy enemy
The Chinese general Sun Tzu wrote that if you “know thy enemy and know thyself, you need not fear the result of a hundred battles.”
Humanity doesn’t face persistent global-scale problems because we lack solutions, data or ideas. Instead, systemic risks continue because humanity has failed to address them in a coordinated way. Groups often act at cross purposes, or even make enemies out of each other, when the true enemy is conflict itself.
But conflict won’t fix climate change. To fight coordination failure on the environment and other issues, we need a coordination mechanism that is truly global in nature. Luckily, we may have found one: Decentralized blockchain networks allow us to create new incentives and mechanism designs that are borderless and direct.
Continue reading: https://www.coindesk.com/business/2022/06/06/how-crypto-can-do-good-for-the-world/

Some of the most revolutionary businesses of today were crafting internet strategies as early as the year 2000. Unfortunately, not every business followed its example right away. Some skeptics wrongly predicted the internet would collapse in 1996, which influenced some companies to deprioritize anything related to the web.
That was a costly mistake now that an infinite number of e-commerce businesses launched within the last two years and are thriving, while many who went against the grain in the earliest years of the internet are still trying to catch up.
The same could easily be said about Artificial Intelligence (AI) today. For example, when you shop online, AI technology picks up on your habits, targeting ads towards you, recommending products and providing insight for companies based on your browsing history.
There are three central areas where AI can drive business growth:

• AI-powered analytics
• Customer service satisfaction
• Targeted digital marketing campaigns

If you're getting your small business off the ground or are an established corporation, your business can benefit from AI.
AI-powered analytics
The topic of cookies has made consistent headlines in recent years, with the future of cookies still unknown. When people visit your website and 'accept recommended cookies,' you gain vital information about their interests.
AI can collect and connect different types of data, including:

• Demographic
• Social
• Geography
• Browsing patterns

Working in the background while users continue on their browsing path, AI permits businesses to secure generous amounts of information about their users. With this data, you can make strategic decisions on how to best communicate with customers and promote new offerings.
Continue reading: https://www.entrepreneur.com/article/425746

Few industries were hit as hard by the pandemic as the hospitality industry. According to a January 2022 study by the National Restaurant Association, 74 percent of restaurant operators said their business is less profitable now than it was before the beginning of the pandemic, and 63 percent of operators said that their sales volume in 2021 was lower than in 2019.
Employee retention hasn't gotten any easier either, as workers are leaving the hospitality industry in record numbers. According to new data from the Bureau of Labor Statistics, 5.6 percent of employees in the food services and accommodation industry quit their jobs in April 2022, more than in any other sector.
Artificial intelligence could help hospitality businesses that are understaffed and tight on cash. Several companies now offer A.I.-based solutions to improve and streamline both guest experiences and back-of-house operations, including inventory and supply chain management, menu optimization, guest profiles, and crowd control.
Here's how three providers are working to implement A.I. solutions across the hospitality industry.
1. Streamlining data analysis.
CrunchTime, an operations platform founded in 1995, works with restaurant chains of all sizes to simplify operations using A.I. and machine learning. Clients include industry giants like Dunkin', Wendy's, and Shake Shack, along with hundreds of one-location small businesses.
One of the reasons restaurants are ripe for A.I. implementation is that a single transaction can produce a significant amount of data, such as how many guests are in a restaurant at any given time, what they're buying, how much they're buying, and how they bought it, according to CrunchTime founder Bill Bellissimo. Traditionally, all of that data would be recorded and analyzed by the general manager to be used in bookkeeping and inventory management operations, a process typically completed by slowly, manually entering the data into a spreadsheet or on paper. With the advent of machine learning, these tasks can be easily streamlined, leaving restaurant owners with more time to focus on what humans excel at: food and experiences.
Continue reading: https://www.inc.com/ben-sherry/artificial-intelligence-hospitality-industry.html

More companies in every industry are adopting artificial intelligence to transform business processes. But the success of their AI initiatives depends on more than just data and technology — it’s also about having the right people on board.
An effective enterprise AI team is a diverse group that encompasses far more than a handful of data scientists and engineers. Successful AI teams also include a range of people who understand the business and the problems it’s trying to solve, says Bradley Shimmin, chief analyst for AI platforms, analytics, and data management at consulting firm Omdia.
“The technologies and the tooling that we have available is skewing more and more toward enabling and empowering domain professionals, the business users, or the analytics professionals to take direct ownership of AI within companies,” he says.
Carlos Anchia, co-founder and CEO of AI startup Plainsight, agrees that AI success rests largely on establishing a well-rounded team with a diverse range of advanced skills, but doing so is challenging.
“Identifying what makes a highly efficient AI team may seem like an easy thing to do, but when you examine the detailed responsibilities of individuals on successful AI teams, you quickly come to the conclusion that building these groups is extremely hard,” he says.
To help you assemble your ideal AI team, here is a look at 10 key roles found in well-run enterprise AI teams today.
Data scientist
Data scientists are the core of any AI team. They process and analyze data, build machine learning (ML) models, and draw conclusions to improve ML models already in production.
A data scientist is a mix of a product analyst and a business analyst with a pinch of machine learning knowledge, says Mark Eltsefon, data scientist at TikTok.
“The main objective is to understand key metrics that have a major impact on business, gather data to analyze the possible bottlenecks, visualize different cohorts of users and metrics, and propose various solutions on how to increase these metrics, including making a prototype of the solution,” says Eltsefon, who adds that, when working on a new feature for TikTok users, it’s impossible to understand whether the feature benefits or alienates users without data science.
“You don’t understand how long you should test your feature and what exactly you should measure,” he says. “For all of this, you have to apply AI methods.”
Continue reading: https://www.cio.com/article/400380/10-key-roles-for-ai-success.html

When Sheryl Sandberg said this week that she was resigning as chief operating officer of Meta, she also reflected on her legacy as a woman in tech.
“I’m especially proud that this is a company where many, many exceptional women and people from diverse backgrounds have risen through our ranks and become leaders — both in our company and in leadership roles elsewhere,” she wrote in an announcement posted on her Facebook and Instagram pages.
Yet even as Ms. Sandberg lauded the progress of women at Meta, the broader reality for female leaders at the top of the tech industry has been far more disappointing. And with her exit this fall, Silicon Valley is losing one of its most visible and outspoken female executives, leaving few — some would say zero — similar peers in her wake.
Ms. Sandberg, 52, was part of a cohort of women at major tech companies who made keynote speeches, rose to the level of founders like Larry Page and Mark Zuckerberg, and had a seat at the table at high-powered business gatherings like the Allen & Company conference in Sun Valley, Idaho. But over the years, many of these women — including Marissa Mayer of Yahoo, Meg Whitman of Hewlett Packard Enterprise and Ginni Rometty of IBM — have departed, often with their reputations in tatters.
More broadly, women have not made notable gains in recent years in the highest echelons of Alphabet, Apple, Amazon, Meta and other tech giants where the corridors of power continue to be dominated by men. The industry’s record on female leadership trails that of other industries, even as tech exerts more influence in the global economy and in people’s lives.
Continue reading: https://www.nytimes.com/2022/06/03/technology/sheryl-sandberg-women-in-tech.html

Cryptocurrency continues to make big headlines in the financial press, but not all of it is positive. Reports of cryptocurrency theft are appearing with increasing frequency. As blockchain technology and cryptocurrency are supposedly valued for their privacy and security, this is a problem that needs to be addressed.
Results from an April 2022 survey of 1,037 Americans conducted by GOBankingRates seem to confirm this sentiment. Of the 77% who indicated they did not invest in crypto, 17% indicated they don't think it's regulated enough, while 26% don't trust the security around it.
Cash App Borrow: How To Borrow Money on Cash App Learn: Here's How Much Cash You Need Stashed if a National Emergency Happens
If cryptocurrency is ever to become either a complement to or an outright replacement of fiat currency,  it will need to become more secure. Here are some suggestions from industry experts about how to accomplish that.  
More Regulation
In spite of all of the gains in legitimacy that cryptocurrency has enjoyed over the past few years, it still remains something of the Wild West when it comes to any type of regulation or oversight. To help the crypto networks of the world become more secure, both for owners and investors, regulation will be required, even if many crypto enthusiasts fight against that very thing. 
Continue reading: https://www.nasdaq.com/articles/5-ways-crypto-needs-to-become-more-secure-according-to-experts

Cryptocurrencies continue to gain traction and a wider acceptance across all demographics. Most importantly, Wall Street is constantly trying to expand its business into the realm of digital currencies and blockchain.
Goldman Sachs has announced it will offer Bitcoin-backed loans, while Fidelity launched a physical Bitcoin ETF in Canada last December. The investment firm is also eager to launch a Bitcoin fund in the U.S. but is waiting for legislative approval. The potential for starting a business in the blockchain space is virtually limitless. Digital currencies and the technology they run on have only been around for just over 12 years, and the industry is still in an early stage.
As the founder of a cryptocurrency IRA investing company, I've seen what it's like first-hand to be an entrepreneur in this exciting space. And I know that you can do it too. Don't believe me? Let's take a look at four basic ideas for starting a business in the cryptocurrency world.
Crypto tax advisory
You may already own a tax advisory firm or work as a tax consultant. In which case, you would be branching out into the field of cryptocurrencies to capture a new business line. However, you could also start a crypto tax advisory from scratch.
Continue reading: https://www.entrepreneur.com/article/426716

Blockchain, Web3 and crypto will likely soon become important and regulated sectors of the world economy; it’s just a matter of time. Blockchain is already a powerful force within industries around the world, and the technology is so intertwined with crypto that it only makes sense that it will sooner or later need to become regulated. When it does, even if severely regulated at first, I believe the space will eventually stabilize and attract institutional money in ways we have yet to see.
Follow The Talent
Bitcoin, Ethereum, NFT and the metaverse are all, at their core, software. Some of the smartest minds right now are focusing on creating a version of the internet based on blockchain technology, known as Web3, and many of the best programmers have moved into the space. If you follow the movements of these developers, you’ll soon get a picture of what to watch for in the future. GAMAM (Google, Amazon, Meta, Apple, Microsoft) are losing talent to Web3 companies, and that alone is worth paying attention to.
I would love for my native country Sweden to go big and bold into the Web3 sphere. I believe it is imperative if we wish to be competitive in the upcoming years, for it is likely too late for us to be at the forefront of AI, and the supercomputer race looks equally challenging with countries like the United States, Japan and China all ahead of us.
Web3, on the other hand, will likely become such a big market that it will allow many nations, regions and companies to become leaders in subcategories of it.
Continue reading: https://www.forbes.com/sites/forbesbusinesscouncil/2022/06/03/will-trust-prevail-in-the-pursuit-of-blockchain-superiority/?sh=57a5fbb91371

Web3 is not only informing entire verticals and industries but automating the core technology stack of enterprises, including those once deemed as the disruptors. 
Blockchain skepticism has turned to curiosity. Those who’ve been at the frontlines dismissing blockchain technology, longing for viable use cases, now accept they’ve been wrong. One of them is Nigel Morris, the managing partner at fintech firm QED Investors and Capital One cofounder. In a recent blog post, Morris admits he’s been a crypto skeptic and that “this time two years ago, I didn’t understand it. I didn’t grasp the use cases for it and I truthfully never knew whether it would gather global adoption. I was wrong.” He leans in further, saying, “We believe that all of our portfolio companies will have to affirmatively develop a view on crypto and Web3 for both defensive and offensive reasons in short order.” 
In a letter to shareholders, JPMorgan CEO Jamie Dimon praised blockchain technology and DeFi, a striking contrast to his previous crypto statements. Dimon now believes there are “many uses where a blockchain can replace or improve contracts, data ownership and other enhancements.”
Barclays Corporate & Investment Bank’s Ramsey El-Assal said at its March summit meeting: “We see blockchain technology’s potential as being on a similar scale to the transformative, decades-long IT shifts from mainframes to PCs to the web to mobile. We further believe the move from “centralized” to “decentralized” technology will be the dominant theme in FinTech for the next couple of decades.”
Continue reading: https://venturebeat.com/2022/06/04/how-the-web3-stack-will-automate-the-enterprise/

Web3 has been around since 2014, when it was coined as a decentralized online ecosystem based on blockchain. It was just a buzzword for a while, but blockchain and crypto startups have made us all move beyond the talk. Companies like Shopify are accepting cryptocurrencies as payment, and even established giants like Microsoft are investing.
Blockchain is an integral component of Web3, but it’s not the only piece of the puzzle. To take advantage of what Web3 provides, the data running these applications will have to be gathered, processed and analyzed in real time and outside of the blockchain. Enterprises that don’t embrace a real-time approach will be left behind.
Let’s look at some important Web3 use cases and why a real-time data architecture is crucial for their success.
Real-Time Settlement
Consumers are demanding that financial services providers offer the ability to shift money—in any form of currency—in real time. This is a big change that requires new thinking about architectures, data volumes and speed. Even central banks are trying to address this by investing in projects to digitize currencies and get a clearer picture of how transactions can happen at an unprecedented new scale.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/06/03/off-the-chain-why-real-time-data-is-key-to-web3/?sh=7c7a1afb6523

“Nose in, fingers out.” That’s the rule—of thumb, so to speak—for corporate boards. Board members already have a long list of mission-critical issues in their sights, including risk and reputation management, advising and encouraging the CEO, financial performance, and growth opportunities. Naturally, nobody expects them to get involved in the nitty-gritty of technical operations as well.
The question is: “Why do we need to discuss Artificial Intelligence?”
That is what I usually hear when I encourage board members to put AI on the agenda. But while the question remains the same, the reasons behind board members’ bemusement varies—and that speaks volumes about misconceptions over what is coming down the proverbial pipe.
“Our plates are already overflowing,” some say, “How is this a priority now?”
“We are not a technology company,” others remark, “AI is not a board level issue.”
“We have so much digital disruption to address already,” still others say, “Why is AI more important than all the other technology issues?”
I sit and smile, because they are right, in a conventional business context. But what is happening—and about to happen—as a result of AI, is anything but conventional.
AI is an existential threat within every industry
Artificial Intelligence is a board level issue because of its singular capability for exponential disruption. It will shake up the global business and consumer landscapes more thoroughly and dramatically than any previous technology has in the history of technology. I say this without hyperbole.
Here’s why: AI gets better every day with little or no human interaction. But not just incrementally better—once set to task on a particular objective and fed with sufficient data, well-developed AI operates in a continual feedback loop that improves results exponentially. With each new degree of accuracy and achievement, AI ratchets performance up even further, until the momentum of improvement is unstoppable. Once a player achieves this flywheel effect, it will be impossible for competitors to catch up. This is what I call the “Winner Takes All” paradigm.
Continue reading: https://www.forbes.com/sites/glenngow/2022/06/05/ai-in-business-the-one-thing-every-board-member-asks/?sh=2e4f58073c27

New Delhi: You’ve probably heard for years that the workforce would be supplanted by robots. AI has changed several roles, such as using self-checkouts, ATMs, and customer support chatbots. The goal is not to scare people, but to highlight the fact that AI is constantly altering lives and executing activities to replace the human workforce. At the same time, technological advancements are producing new career prospects. AI is predicted to increase the demand for professionals, particularly in robotics and software engineering. As a result, AI has the potential to eliminate millions of current occupations while also creating millions of new ones.
Among the many concerns that AI raises is the possibility of wiping out a large portion of the human workforce by eliminating the need for manual labor. But it will simultaneously liberate humans from having to perform tedious, repetitive tasks, allowing them to focus on more complex and rewarding projects, or simply take some much-needed time off.
According to a McKinsey report, depending on the adoption scenario, automation will displace between 400 and 800 million jobs by 2030, requiring up to 375 million people to change job categories entirely.
These figures can make people feel uneasy and anxious about the future. However, history suggests that this may not be the case; there is no question that some industries will be transformed to the point where they no longer require human labor, leading toward job redefinition and business process reform. For eg, the diagnosis of many health issues could be effectively automated, making doctors focus on other major issues that need their attention. In terms of replacing humans completely, human labor is and will continue to be necessary for the foreseeable future.
Continue reading: https://kalingatv.com/miscellany/4-skills-that-wont-be-replaced-by-ai-in-the-future/