The 5G rollout in India is likely to begin this month and it could have a significant impact on how services are delivered to consumers and enterprises. The 5G is expected to globally redefine a range of industries such as transport, healthcare and logistics. Unlike 3G and 4G, which largely offered improvements in data transfer speeds on smartphones, 5G will allow a universe of connected devices to interact with each other.
Experts believe that 5G will be the potential enabler that leads to the widescale adoption of blockchain technology in several aspects such as trade financing, logistics, healthcare, education, etc.
The novel characteristics of 5G can be exploited to support new business models and services that require seamless interactions among multiple parties that may include mobile operators, enterprises, telecom providers, government regulators, and infrastructure providers. Meanwhile, blockchain has been increasingly used to register, authenticate and validate assets and transactions, govern interactions, record data and manage the identification among multiple parties, in a trusted, decentralized, and secure manner.
Complementing each other
It’s thus not just 5G enabling Blockchain. Both are complementary to each other. 5G will provide the needed infrastructure for the machine-to-machine interactions, Blockchain will ensure data reliability, and security, enabling smarter and faster value functions.
The ultimate goal is to reduce network bandwidth and make the communication between devices live. Since current devices are centralized, which means that one entity owns it, it makes it riskier for wider adoption. This is where blockchain comes into the picture, it promises decentralization, which means nobody controls how these devices operate, and every transfer of data is recorded in a distributed ledger, giving users full control over their privacy. This wouldn’t be possible on 4G.
Continue reading: https://thefederal.com/business/5g-coupled-with-blockchain-technology-can-open-a-whole-new-world/

Cryptocurrency is bringing forth new innovations to make it acceptable and usable by all. One such recent innovation is the crypto debit card.
Major crypto exchanges and brokers have launched debit and credit cards to allow users to spend cryptocurrency on various products and services. Even financial services corporation Visa (NYSE:V) acknowledged the rise in crypto debit card payments, stating that customers made $2.5 billion in payments with its crypto-linked cards in the first quarter of 2022.
Visa’s CFO, Vasant Prabhu, added that people are using their crypto-linked cards to spend on retail goods and services, restaurants, and travel. So if you’ve been thinking about getting a crypto debit card to facilitate your spending, you might want to read this article. In this piece, you’ll learn about crypto debit cards and how to determine if it’s right for you.
What Are Crypto Debit Cards, and How Do They Work?
A crypto debit card is much like your regular debit card, but instead of being connected to your bank account, it’s tied to a digital wallet that contains your cryptocurrency. It can also be used at various Automated Teller Machines (ATMs) that support cryptocurrency.
However, the significant difference between a crypto debit card and a conventional debit card is that the former instantly converts the cryptocurrency you use to your selected fiat currency. Also, with a crypto debit card, you can use cryptocurrencies in your wallet to complete transactions in any business that accepts debit cards.
How Do Crypto Debit Cards Work?
When you use a crypto debit card to make a purchase, the funds will be withdrawn from your crypto wallet or crypto investment account and automatically converted to the acceptable currency of the merchant. More so, just like regular debit cards, the user will be required to have sufficient cryptocurrency in a digital wallet (i.e. crypto investment account) to make a purchase.
Additionally, it is crucial to keep in mind that the type of crypto debit cards used will determine exactly how cryptocurrency is converted to fiat. Occasionally, users may be able to keep their currency in crypto form until a purchase is initiated, or they may need to manually convert their cryptocurrency to their preferred fiat currency.
Ways Crypto Debit Cards Convert Crypto
Generally, crypto debit cards convert crypto in three different ways:
Continue reading: https://www.investing.com/news/cryptocurrency-news/crypto-debit-cards-what-are-they-and-how-do-they-work-in-defi-2871786

Ethereum, also commonly known as Ether, is the world’s second largest cryptocurrency behind Bitcoin, and like any digital currency, it has experienced its fair share of ups and downs over its relatively short lifetime.
The price of Ethereum rose to a record $US4800 in late 2021, which signified a rise of more than 900% over the previous 12 months and sparked speculation that Ether would overtake Bitcoin in value.
However, Ether was not immune from the crypto routing of May 2022 and tumbled in value alongside many other cryptocurrencies. Ether is now trading at $US1423 (as of July). 
What are cryptocurrencies?
In the truest sense, cryptocurrencies are a digital means of exchange which use cryptography as a form of security. However, in more recent times, the term ‘cryptocurrency’ has evolved to encompass a decentralized financial system (DeFi), a highly volatile asset class that can nose-dive or surge on the back of a Tweet, a space for bad actors to steal vulnerable investors’ identities and money, a mode of asset diversification, and a form of digital payment.
Ethereum once had an effective market capitalization of around $250 billion, however, has recently lost more than $100 billion in value due to the crypto slide of May 2022 and is now sitting at around $135 billion in market cap.  
If you’re familiar with Bitcoin but less au fait with its closest rival, here’s what you need to know about Ethereum including why, one day, it could still become the dominant player on the cryptocurrency stage.
First, a crypto wealth warning
You don’t need to follow the financial world that closely to know that cryptocurrencies have become one of its biggest stories in recent years. 
Nowadays, they pre-occupy the thoughts of governments and major financial institutions alike and divide opinion as to whether they are essentially Ponzi schemes that need to be severely regulated, or are simply volatile asset classes for investors who enjoy a high-stakes gamble.
If your financial plans revolve around capital preservation – hanging onto what you’ve got – then the volatile behavior of cryptocurrencies is most definitely not for you. 
Last month, Jerome Powell, the chairman of the US Federal Reserve, described crypto assets as no better than “vehicles for speculation”. And at its May AGM, the legendary Berkshire Hathaway vice-chairman and investor, Charlie Munger, said Bitcoin was “disgusting and contrary to the interests of civilization”.
Comments such as these, however, fail to put off millions of aficionados around the world from trying to make money from cryptocurrencies, including Bitcoin. This  includes Australians, who are increasingly getting in on the act: recent Roy Morgan research has revealed that 5%, or more than one million adult Australians own at least one cryptocurrency.
Continue reading: https://www.forbes.com/advisor/au/investing/cryptocurrency/what-is-ethereum/

Artificial Intelligence is Changing Marketing, and Here’s What You Need to Do
Without a question, artificial intelligence (AI) is a popular issue right now. Marketing is one of the many industries where technology is making its influence. Nearly all marketing gurus and experts are busy predicting how AI will affect marketing, consumer purchasing patterns, advertising, corporate futures, and other areas.
Thanks to innovations like Alexa, Siri, and other advanced analytics tools based on machine learning, both our personal and professional lives have begun to experience the possibilities of artificial intelligence. Isn’t it sufficient to hint at the fascinating future that AI promises to the marketing industry?
In the past year, the artificial intelligence revolution in marketing has reached its peak. Thanks to the latest data analytics tools, many marketers now have access to them and can afford them. A rising number of marketers are being empowered and encouraged to adopt data-driven approaches to their marketing decision-making processes by the availability of rich and comprehensive datasets, even though they are still noisy.
Almost every marketer is talking and thinking about how AI will affect their work since the winds of development have been flowing in this AI direction — for the time being.
Even though artificial intelligence is still in its early stages, and we are not quite there, it will inevitably continue to advance. Knowing how AI is altering marketing as we currently know it is not enough for marketers; we also need to know what we should do with all of these new AI, machine learning, and advanced analytics capabilities. Let’s look at it.
Continue reading: https://www.inventiva.co.in/trends/artificial-intelligence-is-changing/

One of the myriad challenges of being a modern technology leader is separating the marketing hype from reality when it comes time to procure new hardware or software. Product marketing often tends toward hyperbole and focuses on the positive rather than the negative. With technology products, there’s the added wrinkle of complex technical elements that require specialized understanding.
Mix the historical hyperventilation of most product marketing with a hot technology, and you’re forced to wallow through a dense wall of promises, buzzwords and claims to determine if a product will work for your organization. This is especially true in the era of artificial intelligence, where it seems everything from supply chain software to office furniture claims to have some element of AI embedded. One could almost imagine a late-night infomercial host shouting that the product he’s shilling: “Now includes 30% more machine learning!”
The problem in evaluating products that include AI is that definitions of what constitutes AI can vary widely. If your definition assumes learning algorithms that intelligently categorize new data, and your vendor considers AI to include little more than a bit of fancy computation, you’ll be disappointed. In order to pin down what your vendor means when they tell you there are elements of AI included in their product, here are three simple questions that can help separate the hype from reality.
How does the AI model learn?
A foundational element of most true AI technologies is that they improve based on the data they receive or include technologies that test potential future outcomes and strengthen their calculations based on those outcomes. Game-playing AI’s are a classic example of this technology, where the AI can simulate playing thousands of iterations of a game and improves its performance based on the outcome of each game.
Continue reading: https://www.techrepublic.com/article/separate-ai-marketing-hype/

The product launch stage can make or break the success of your new venture. According to data from the Harvard Business Review, 95% of products fail out of the 30,000 products released yearly. That's massive.
The launch of a product is a critical event for any business. It is the first time that your customers will have an opportunity to experience that product. If you have done everything right, it should be a celebration for everyone involved.
However, this does not always happen. It is common for companies to launch products that fail to meet expectations or even lead to consumer boycotts.
That is where AI comes in.
The New Kid On The Block
Artificial intelligence has quickly become one of the most popular buzzwords in business. AI is already being used to help brands make better decisions. And for good reason—businesses that have adopted AI report increased revenues, higher customer satisfaction rates and improved operational efficiency.
E-commerce companies come into play when using AI to make waves and stay ahead of the competition. Companies like L'Oreal use artificial intelligence to analyze millions of images and predict what consumers will buy next. Nike has used AI to predict how customers will receive a specific shoe on the market and how to sell it. Coca-Cola uses AI to determine which soft drinks to stock at various retailers worldwide.
The future of AI in business is broad, with many applications that we haven't even thought of yet.
Let's talk about using AI to launch new products successfully.
10 Ways AI Helps Businesses Create Successful Product Launches
1. Solid Understanding Of The Market
AI is big on consumers' data. It analyzes data across different channels to the last detail that escapes the human mind. With this, AI understands the market better than humans.
With AI, you can understand your target audience and their needs better—how they think and buy and what they want in a product or service. This will enable you to create something that meets their expectations and makes them want to buy it.
2. Assessing Market Demand
You need to know what people want to determine what kind of product to launch. You can use artificial intelligence to analyze all the data from past product launches, including customer feedback, sales figures and other industry trends. This allows you to make informed decisions about whether or not to enter a new market.
It also gives you information on which products are popular at any given time, whether they be sports equipment, health products or fashion accessories.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/08/12/10-ways-to-use-ai-for-a-successful-product-launch/?sh=782887ee74b1

With any new technology shift or macro change, there are winners and losers. Artificial intelligence (AI) is no exception. In multifamily tech folklore, there is a lingering belief that the AI winners will only be big companies, and the AI losers will be smaller enterprises like leasing teams. I’m here to tell you that is false.
For small to mid-sized operators, if you think AI is only for the large operators and the public companies, then you’re missing the opportunity to let tech help level the playing field. Without taking advantage of current tech, you risk getting disrupted by large operators (and become their asset instead of their competition). Perhaps that sounds dire, but I believe that when smaller operators are looking to prove value and higher costs for their customers than larger competitors, better customer service (i.e., timely responsiveness) is vital. So, if your business has to choose between cost, speed or quality (and cost is off the table), then you know what your focus should be.
For leasing professionals, you should view AI as a colleague and advocate. If you do, you are in the best position to leverage it to win. Does AI sometimes lead to smaller teams via natural churn and attrition? Yes. Does it also work hand-in-hand with team members to allow them to do more with less and automate the parts of their job they hate? Absolutely.
As we know, the arrival of automated machines at Ford factories meant some jobs became irrelevant. Despite this, Ford remained one of the largest employers in the state of Michigan. How does this relate to multifamily? Just like at the Ford plant, when AI is leveraged in multifamily, it means some tasks take longer and are more costly to do manually.
So, if you’re a team member who prides yourself on being the first to respond to every lead as fast as possible without spending the time to craft the perfect response, you may find more success focusing on closing that lead once they’ve been warmed up. Closing is a skill set that AI is not designed for, but a fast response time is. So, focus your time and attention on working with, instead of competing with AI. I personally do not have a goal or belief that AI will replace humans, for I believe both are necessary for our industry; technology can be used to aid leasing professionals and amplify their impact.
Continue reading: 
https://www.forbes.com/sites/forbesbusinesscouncil/2022/08/11/winners-and-losers-three-ways-leasing-professionals-can-embrace-artificial-intelligence/?sh=38cfb9115cf3

The product launch stage can make or break the success of your new venture. According to data from the Harvard Business Review, 95% of products fail out of the 30,000 products released yearly. That's massive.
The launch of a product is a critical event for any business. It is the first time that your customers will have an opportunity to experience that product. If you have done everything right, it should be a celebration for everyone involved.
However, this does not always happen. It is common for companies to launch products that fail to meet expectations or even lead to consumer boycotts.
That is where AI comes in.
The New Kid On The Block
Artificial intelligence has quickly become one of the most popular buzzwords in business. AI is already being used to help brands make better decisions. And for good reason—businesses that have adopted AI report increased revenues, higher customer satisfaction rates and improved operational efficiency.
E-commerce companies come into play when using AI to make waves and stay ahead of the competition. Companies like L'Oreal use artificial intelligence to analyze millions of images and predict what consumers will buy next. Nike has used AI to predict how customers will receive a specific shoe on the market and how to sell it. Coca-Cola uses AI to determine which soft drinks to stock at various retailers worldwide.
The future of AI in business is broad, with many applications that we haven't even thought of yet.
Let's talk about using AI to launch new products successfully.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/08/12/10-ways-to-use-ai-for-a-successful-product-launch/?sh=595c31fd74b1

Artificial intelligence (AI) seems to be everywhere these days, from marketing programs to diagnostic laboratories. It’s now increasingly common to build a custom AI model or buy commercial offerings powered by AI. But before you set that AI loose in the world and into your core business, make sure you understand the potential security pitfalls and take steps for responsible adoption of AI.
AI 101
Machine learning (ML) is the most common form of AI and is the process of training a machine to make future predictions based on historical data. AI/ML exists in two phases. The first is training, which is when historical data is being used to "train" a model. To train a model, you need data that is labeled, or in other words, data that is paired with the answer. For example, an image of a cat is labeled as "cat." The more data you use, and the more realistic that data is, the stronger the model will be. The second phase is inferencing, in which the model is now given real data and asked to output what it believes the answer is based on its model.
Stop or full speed ahead?
Practically any 4-year-old can tell you what a stop sign is. Would it surprise you to know that a trained AI misidentified one as a speed limit sign? A few rectangles of black and white tape were enough to fool it. I'll dig into how later.
Where AI Meets Security
While AI has been a game-changer for solving complex business problems, there is a security risk landscape associated with it. Let's explore three areas.
Model Training Poisoning: If an adversary has access to the training data, then an attacker can train in potential backdoors, i.e., flawed logic paths known to the attacker. Take image recognition that is used to identify abandoned luggage at an airport, for example. A bad actor could introduce wrongly labeled images into the training set so that a suitcase with a specific graphic on it would be misidentified as something benign, such as a television—ensuring that the threat would go unnoticed in a facility depending on AI identification.
Continue reading: 
https://www.forbes.com/sites/forbestechcouncil/2022/08/11/implementing-ai-youd-better-think-about-security-first/?sh=1b2a10315ea4

We recently had the opportunity to speak with Martin Marinak, who is responsible for the eVTOL aircraft and drone market development at Kistler. Kistler Group is a Winterthur-based Swiss company leading the way forward in drone and aerospace measurement technologies. We asked Martin, about the future of drones, and how Kistler Group plans to stay way ahead of the curve by forming strategic and key relationships with industry leaders within this market.
H2: Q1: For those unfamiliar with Kistler, what are the company's core businesses?
A: Kistler Group is the global market leader for dynamic pressure, force, torque, and acceleration measurement technology which covers the complete measuring chain from the sensor to the measurement-data analysis software. The piezoelectric sensor is at the heart of every measurement system from Kistler and, based on piezoelectric technology, the most important element of our measurement technology. We are an owner-managed corporation, with a focus on helping to shape future innovations in many newly emerging sectors, such as drones and eVTOL aircrafts. Based on our extensive application expertise in advanced testing on the ground and in flight, and always with an absolute commitment to quality, Kistler Group, plays a key part in developing the latest drone solutions.
Cutting-edge technologies provide the basis for Kistler's modular solutions. Our products and services are already used in a variety of industries, including the automotive industry, aerospace, plastics processing, and metal working. We have also been involved in the development of drone technology for several years. In fact, we saw the potential of drones early on and decided to focus our R&D efforts on this exciting and emerging new field. As a result, we have developed several innovative products that are now helping shape the future of drone technology. This enables our customers to optimize their own products and processes, secure a competitive advantage within the market, and position themselves as industry leaders.
Continue reading: https://www.commercialuavnews.com/international/a-dronetalk-with-martin-marinak-about-the-importance-of-measurements

Two robots are patrolling the sea off Georgia this month. Their mission: collect and transmit real time data to help scientists better predict hurricane activity.
“The idea is to have one robot on the surface measuring the meteorology in the surface oceanographic conditions, while we have another robot underneath it, measuring temperature and salinity,” said Catherine Edwards, associate professor at UGA Skidaway Institute of Oceanography, and in the Department of Marine Sciences at the University of Georgia.
Edwards and her colleagues launched an underwater glider last week from the deck of the R/V Sam Gray about 20 miles off Richmond Hill in the waters of Gray’s Reef National Marine Sanctuary. The bright yellow vehicle looks like a torpedo with wings. It’s nicknamed Franklin after Benjamin Franklin, who was the first to chart the Gulf Stream, a river of warm salty water about 80 miles offshore. Waiting for the glider was a blaze orange Saildrone vehicle — identified not by nickname but number as 1095. Researchers had remotely piloted the solar and wind-powered Saildrone from Jacksonville for the rendezvous.
Saildrone is a California company that designs, manufactures, and operates unmanned sailing vessels. The hurricane project works with the Saildrone vehicles to measure solar irradiance, barometric pressure, air temperature, humidity, wind, waves, water temperature, salinity, chlorophyll, dissolved oxygen and ocean currents.
After running Franklin through its test paces Wednesday, it was time to go, said Karen Dreger, lead glider technician.
“It’ll hang out at the reef a couple of days and then go offshore,” she said.
The Saildrone will go with it. The two robots will spend August patrolling an area that extends from Gray’s Reef National Marine Sanctuary, about 20 miles off Richmond Hill, out to the Gulf Stream.
Continue reading: https://thecurrentga.org/2022/08/09/drones-patrol-off-georgia-for-hurricane-data/

A full decade has passed since Ellen Pao filed a sexual discrimination suit against her employer, the legendary Silicon Valley venture capital firm Kleiner Perkins. Two years later came the toxicity and misogyny of Gamergate, followed by #MeToo scandals and further revelations of powerful tech-business men behaving very badly. All catalyzed an overdue public reckoning over the industry’s endemic sexism, racism, and lack of representation at the top. And to what effect?
Many slickly designed diversity reports and ten thousand Grace Hopper coffee mugs later, the most striking change has been in the size and wealth of the technology sector itself. Even as the market overall turned bearish in 2022, the combined market capitalization of the five largest tech companies approached $8 trillion. Despite the sector’s great wealth and loudly self-proclaimed corporate commitments to the rights of women, LGBTQ+ people, and racial minorities, tech remains mostly a straight, white man’s world. The proportion of women in technical roles at large companies is higher than it used to be but remains a painfully low 25%. Coding schools for people of marginalized genders are expanding, and the number of female majors in some top computer science programs has increased. Yet overall, representation remains low and attrition high, especially for women of color. 
Much of the burden for changing the system has been placed on women themselves: they’re exhorted to learn to code, major in STEM, and become more self-assertive. In her 2013 bestseller Lean In, Sheryl Sandberg of Meta urged women to push harder and demand more—by acting the way men did. 
Self-confidence and male-style swagger have not been enough to overcome structural hurdles, especially for tech workers who are also parents. Even the mass adoption of remote work in the covid-19 era failed to make tech workplaces more hospitable. A recent survey by Deloitte found that a majority of women in the industry felt more pessimistic about their career prospects than they did before the pandemic. Nearly six in 10 expected to change jobs as a result of inadequate life-work balance. More than 20% considered leaving tech altogether. 
Continue reading: https://www.technologyreview.com/2022/08/11/1056917/tech-fix-gender-problem/

The scientific and technological industries are always evolving. With everything heading towards technology, it is predicted that 90% of professions in the future will need information and communication technology (ICT). With science and technology continually evolving, it is shocking to find women and girls under-represented in these fields. According to the All India Survey on Higher Education (AISHE) report 2019-20, women account for more than 43% of all STEM graduates in India, which is one of the highest rates in the world. Only 14% of them, however, pursue scientific research in universities. The disparity in the tech sector was also accentuated by a popular job portal’s data report, which suggested that the representation of women in tech jobs is just fifteen percent! That is a steep fall from the number of graduates and the number of women in core tech jobs.
Why does it even matter? According to many investigations, a diverse team outperforms a gender-dominated team. Individuals of all races and ethnicities do, in fact, bring a variety of viewpoints to the table. With the Fourth Industrial Revolution bringing about numerous developments in the sector, scientific and technological powerhouses cannot afford to be selective and gender-dominant workspaces.
Why the underrepresentation of women in STEM? Women and girls are underrepresented in STEM (science-technology-engineering-mathematics) fields as compared to males. This is due to a variety of factors. Some of the causes are as follows:
Lack of support to pursue a profession in the tech field: It’s a rare event to hear or see a female coder in your company. Technology is by far dominated by men because society has a preconceived notion that women are well suited to certain job roles.
Continue reading: https://www.shethepeople.tv/top-stories/opinion/women-in-tech-field/

Artificial intelligence (AI) is a part of our everyday lives, whether or not people recognize it or like it. It makes our lives more efficient, powering services and systems as well as connecting people. Just think of how AI is powering the evolution of our smartphones and smart cars.
What's more, AI is rapidly changing the face of business. It is more than an ever-evolving and ever-improving technology; it is an ever-enhancing business capability. Yes, AI can provide the basis for automating processes, making them more efficient and effective. However, AI can also be used to help in less obvious ways, such as unlocking insight from conversations.
Conversational Analytics
As a functioning business, you will have a considerable volume of conversational data. The challenge is being able to process the data to extract valuable insights from it. This is where the power of AI comes in to help analyze the conversation's content, intents and emotions. Use it well, and you can turn gigabytes of unstructured text into valuable customer insight.
With better data insights, you get to know your clients better. By examining customer interactions, you can see what frustrates them and delights them, allowing you to resolve issues with a minimum amount of fuss and do more of what your customers enjoy.
AI—and, more specifically, natural language processing (NLP)—gives you the power to analyze thousands of conversations in seconds. Pulling in voice and text data from emails, chatbots and call transcripts can allow businesses to use data to make better decisions faster and assist in delivering exceptional customer service—ultimately increasing customer satisfaction and loyalty.
We all know that positive conversations lead to happy clients—which are good for business.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/08/11/using-ai-and-data-to-truly-understand-the-conversation/?sh=53d444a84246

Among the many drivers of the tech ecosystem’s rapid growth, artificial intelligence (AI) and its subdomains are at the fore. Described by Gartner as the application of “advanced analysis and logic-based techniques” to simulate human intelligence, AI is an all-inclusive system with numerous use cases for individuals and enterprises across industries.
There are many ways of leveraging AI to support, automate and augment human tasks, as seen by the range of solutions available today. These offerings promise to simplify complex tasks with speed and accuracy, and to spur new applications that were impractical or possible previously.  Some question whether the technology will be used for good or perhaps become more effective than humans for certain business use cases, but its prevalence and popularity cannot be doubted. 
What is artificial intelligence (AI) software?
AI software can be defined in several ways. First, a lean description would consider it to be software that is capable of simulating intelligent human behavior. However, a broader perspective sees it as a computer application that learns data patterns and insights to meet specific customer pain points intelligently.
The AI software market includes not just technologies with built-in AI processes, but also the platforms that allow developers to build AI systems from scratch. This could range from chatbots to deep and machine learning software and other platforms with cognitive computing capabilities. 
To get a sense of the scope, AI encompasses the following:

• Machine learning (ML): Allows a computer to collect data and learn from it to generate insights.
• Deep learning (DL): A step further in ML used to detect patterns and trends in large volumes of data and learn from them.
• Neural networks: Interconnecting units that are designed to learn and recognize patterns, much like the human brain. 
• Natural language processing (NLP): NLP supports AI’s ability to read, understand and process human language.
• Computer vision: Teaching computers to collect and interpret meaningful data from images and videos. 

These capabilities are leveraged to build AI software for different use cases, the top of which are knowledge management, virtual assistance and autonomous vehicles. With the large volumes of data that enterprises must comb through to meet customer demands, there’s an increased need for faster and more accurate software solutions.
As expected, the rise in enterprise-level adoption of AI has led to accelerated market growth of the global AI software market. Gartner places the growth at an estimated $62.5 billion in 2022 — a 21.3% increase on its value in 2021. By 2025, IDC projects this market to reach $549.9 billion. 
Continue reading: https://venturebeat.com/ai/10-top-artificial-intelligence-solutions-in-2022/

What’s the hottest job on the market? Software engineers, programmers, and designers have been in high demand over the last decade. However, with the rise of blockchain and cryptocurrency, Web3 developers have quickly risen on the list. 
Web3 has seen a massive influx of interest over the past two years. The startup scene is on fire as new projects sprout up and innovation flourishes. Even some of the largest companies in the world such as Nike and Adidas have thrown their hats in the ring. All of this has made Web3 developers a hot commodity.  
But despite the massive demand, Web3 developers are in short supply. The concept of Web3 is still a relatively new idea and has only existed since 2014. There aren’t too many college courses that incorporate blockchain, let alone material on a concept that’s still taking shape. This was just one of the few reasons that led us to create a full stack geared towards developing in Web3.
It might not be a surprise, then, that Web3 developers can command a pretty hefty price tag. In fact, some put these salaries between $300,000 and $750,000. This may just be one of the big reasons why developers at Meta (formerly Facebook) and Google are making the switch to Web3.
But Silicon Valley isn’t the only space that’s seeing a growing migration of developers. In fact, Web3 is attracting an entirely new wave of talent. Take Redfoo for example. The Billboard artist ditched his music career to pursue his passion for coding. The self-taught celebrity has since learned Solidity and Rust, and now operates as a partner with Radix. 
So why can developers demand such high salaries, and why are companies paying it? The answer lies within the potential of Web3.
Continue reading: https://venturebeat.com/datadecisionmakers/starting-your-development-journey-into-the-world-of-web3/

Web3 is the next generation of the internet that will redefine our everyday digital experiences. Leveraging cryptography and distributed-ledger technology, Web3 is laying the framework for a user-owned and controlled internet. A tsunami of Web3 projects has emerged, unlocking new opportunities for various industries like financial services, gaming, esports, media, entertainment, retail, and more.
The Web3 ecosystem is currently undergoing significant growth in terms of funding from venture capital. There is an ever-expanding list of Web3 startups, be it DeFi protocols, NFTs, decentralized autonomous organizations (DAOs), play-to-earn (P2E) games, data storage and social media services.
According to a report by DappRadar, venture capital funds and investors have already invested more than $2.5 billion into blockchain gaming and related infrastructure during the first quarter of 2022 alone. That’s an enormous increase relative to the $4 billion total invested in 2021 and the $80 million in 2020. And this is just one aspect of the expansive Web3 ecosystem. 
Another report, published on GitHub, suggests that there are more than 18,000 active developers in the Web3 ecosystem who commit their code to open-source blockchain projects at least once every month. The report further clarifies that the real number is likely higher as it doesn’t consider the development work done on proprietary Web3 projects. 
By all metrics, the growth of Web3 has been unprecedented. But it still has a long way to go before entering the mainstream-adoption phase. Although investor and user interest in Web3 products and services is increasing, several factors need to be addressed to accelerate the ongoing transition.
For Web3 to truly thrive, there are three critical areas that Web3 investors, developers and users need to address.
Continue reading: https://venturebeat.com/datadecisionmakers/3-things-that-need-to-happen-for-web3-to-really-take-off/

The injustices of the pandemic have been well-documented. Efforts to address those injustices are less prevalent. Candice Dixon wants to change the stories women, especially women of color, tell.
"I will never again take for granted the power of change, and in this case, often disruptive and difficult change. In 2020, the global pandemic, nationwide racial justice reckoning, and unpredictable economic fluctuations were just a few of the catalyzing events that forever changed how we live and work.
These critical events had a profound impact on me and, after much consideration, I made the decision to quit my job. I knew I wanted to do work that would allow me to support people who look like me. Little did I know that this decision would lead me to a new organization — NPower, a nonprofit advancing racial and gender equity in the tech workforce. There, I launched a new movement that would help to support countless women of color step into good paying tech jobs, adding an estimated $17.2 million back into the local economy.1
My role was established to help evolve a coalition focused on increasing the recruitment, advancement and retention of women of color from non-traditional backgrounds* in tech jobs. First, we wanted to ground our strategies in research; our initial findings showed that women of color faced the most joblessness during the pandemic, and many still aren’t returning to work as fast as other populations. And further, as the tech industry continuously faces hiring freezes and layoffs, the underrepresentation of women of color continues to spotlight the glaring lack of diversity overall in the tech sector.
It was clear that a series of seismic shifts were needed to help address this issue in a way that would drive tangible meaningful change. Our insights gave birth to our new coalition — Command Shift, Accelerating More Women of Color in Tech.
Continue reading: https://www.bizjournals.com/bizwomen/news/latest-news/2022/08/in-her-own-words-candice-dixon.html?page=all

With women under-represented in STEM and a huge skills shortage across tech and engineering, organizations must do more to help – we highlight some who are
It’s a truth universally acknowledged that women and girls who seek to advance their STEM education have long faced huge challenges in a field traditionally dominated by men.
And while the past few decades have seen the global community make increased effort in inspiring and engaging women and girls in science, and women have themselves made tremendous progress towards increasing their participation in higher education, they remain under-represented – but even more so in the workplace.
Women are under-represented in STEM, but especially in the workplace
While women make up 47% of the total workforce, they are statistically under-represented in STEM, with less than 30% of the world’s researchers being women, while the share of women CEOs in tech companies is just 10%.
According to the UN, in cutting-edge fields such as Artificial Intelligence, just one in five professionals (22%) is a woman; while women account for just 28% of engineering graduates and 40% of graduates in computer science and informatics.
This number is higher in some countries, like India, where 43% of the total graduates in STEM are women, but then the figure drops drastically with just 14% becoming scientists, engineers, and technologists.
This is an issue worldwide, with much fewer women working in the field than have graduated, proving that support for women in the STEM workplace simply isn’t working.
Hardly surprising when you consider that female researchers tend to have shorter, less well-paid careers and are often passed over for promotion, reports the UN. Or that, when it comes to working in engineering and tech, fields that offer the fastest-growing and highest-paying jobs, an entry-level salary for a man is more than US$4,000 higher than what is paid to a woman with comparable credentials, the US Bureau of Labor Statistic finds.
Continue reading: https://businesschief.com/sustainability/women-in-stem-close-the-gender-gap-bridge-skills-shortage

If you have an artificial intelligence program, you also have a committee, team, or body that is providing governance over AI development, deployment, and use. If you don’t, one needs to be created.
In my last article, I shared the key areas for applying AI and ML models in marketing and how those models can help you innovate and meet client demands. Here I look at marketing’s responsibility for AI governance.
So, what is AI governance?
AI governance is what we call the framework or process that manages your use of AI. The goal of any AI governance effort is simple — mitigate the risks attached to using AI. To do this, organizations must establish a process for assessing the risks of AI-driven algorithms and their ethical usage.   
The stringency of the governance is highly dependent on industry. For example, deploying AI algorithms in a financial setting could have greater risks than deploying AI in manufacturing. The use of AI for assigning consumer credit scores needs more transparency and oversight than does an AI algorithm that distributes parts cost-effectively around a plant floor. 
To manage risk effectively, an AI governance program should look at three aspects of AI-driven applications:

• Data: What data is the algorithm using? Is the quality appropriate for the model? Do data scientists have access to the data needed? Will privacy be violated as part of the algorithm? (Although this is never intentional, some AI models could inadvertently expose sensitive information.) As data may change over time, it is necessary to consistently govern the data’s use in the AI/ML model.
• Algorithms. If the data has changed, does it alter the output of the algorithm? For example, if a model was created to predict which customers will purchase in the next month, the data will age with each passing week and affect the output of the model. Is the model still generating appropriate responses or actions? Because the most common AI model in marketing is machine learning, marketers need to watch for model drift. Model drift is any change in the model’s predictions. If the model predicts something today that is different from what it predicted yesterday, then the model is said to have “drifted.”
• Use. Have those that are using the AI model’s output been trained on how to use it? Are they monitoring outputs for variances or spurious results? This is especially important if the AI model is generating actions that marketing uses. Using the same example, does the model identify those customers who are most likely to purchase in the next month? If so, have you trained sales or support reps on how to handle customers who are likely to buy? Does your website “know” what to do with those customers when they visit? What marketing processes are affected as a result of this information?

Continue reading: https://martech.org/governing-ai-what-part-should-marketing-play/

If you’ve read part one of this series, the words “Web3,” “NFT,” “blockchain,” “non-fungible” and others don’t seem as out there as they did before. (And if they still seem a little fuzzy in your brain, read again for a refresh).
Why is a social media professional so excited about all of this stuff?
In 2021, I began to dabble in buying NFTs. It was fun to learn something new, to jump into the wild west and stake a claim for women in a heavily male-dominated space. After a while, however, it became less about investing and the chase for that diamond-in-the-rough project, and more about seeing how the NFT communities worked.
It really did remind me of the early days in social media, when your “friends” were really friends and organic posting wasn’t stifled by algorithms. Plus, I started to notice how many brands were riding the wave right along with me. That’s when I realized that a wave of social media changes was coming – and I needed to start helping people get ready for them.
In my last post, I touched on one of the reasons that certain NFTs hold more value than others, and that reason is the strength of the community surrounding the collection.
Let’s take a glimpse into why this matters for you. Imagine a world where you own your data – not Facebook, not Twitter – and you decide when and how to share it. Imagine a world where a brand wants you to like or share a social media post, but you want some kind of return on that investment of space on your accounts, and the time it will take. Imagine being a part of a community board for a brand where you help determine features of the product and even the price.
Welcome to how community works in NFTs.
There are many brands embracing the NFT community – Gucci, Adidas, Nike, Shopify, Bose and more. If you haven’t started to think about NFTs in your marketing mix, you’re a step behind even the Vatican! Ad Age even keeps a running list of brands using NFTs.
Plus, these NFT communities are the birthplace of future brands. Think of them like Kickstarter campaigns for the next Oculus Rift.
Continue reading: https://www.prdaily.com/how-web3-and-nfts-will-change-social-media-forever/

The blockchain revolution is upon us. What began as an experiment in finance and technology, initiated by Bitcoin, has now spawned an intricate blockchain ecosystem with countless independent networks. These networks form the infrastructure of Web3, the next generation of internet development.
Simply put, Web3 is the blockchain-based future of the web, in which essential internet services that are currently dominated by tech behemoths (Google, Facebook, Amazon, etc.) will instead be run in a decentralized manner, with finance and governance powers in the hands of the users themselves. Traditional tech companies will likely adopt aspects of blockchain technology, while new Web3 companies will rise to compete with existing businesses.
Blockchain networks, the building blocks of Web3, are continuing to grow and introduce unique innovations, but they currently lack the capacity to easily integrate with one another. Since each blockchain has its own capabilities and specialties, it is becoming increasingly clear that a mature version of Web3 will depend on integrating all chains, allowing for mutual growth and ease of accessibility for users. Let’s take a look at how the blockchain industry has evolved and what that means for businesses as a whole.
Bitcoin And The Blockchain Revolution
The launch of Bitcoin in 2009 was the first step in a blockchain technology revolution. Bitcoin was founded as a currency and store of value that functions as an alternative to national currencies. Rather than relying on any centralized entity (state, corporate or individual) to process and verify transactions, Bitcoin runs on a distributed, decentralized network of independent computers across the world. With the invention of Bitcoin, individuals could, for the first time in history, freely transfer funds without having to rely on any centralized authority.
Continue reading: https://www.forbes.com/sites/forbesbusinesscouncil/2022/08/05/web3-interoperability-the-next-great-leap-for-businesses/?sh=16cb2edf545e

Being able to track data is increasingly important for today's industries. For example, if car manufacturers can’t communicate with their partners in real time, they will struggle to ship cars faster and more cost-effectively. Airlines will not be able to give their passengers the best itineraries at the best price if they don’t have access to the latest information on sales channels and available seats. And coffee providers can’t view the source of their beans and communicate with sellers without accurate supply chain tracking.
Problems across data silos, real-time partner communication and supply chain tracking are just a few examples of where organizations struggle to manage and interpret the ever-increasing volume of data needed to run a business effectively.
On paper, blockchain appears to be the perfect solution to these data problems. In fact, a recent survey from Deloitte found that 86% of executives believe there’s huge business potential in blockchain technology. The perceived value of blockchain comes from its ability to share data quickly and securely in a decentralized manner. And while the promise of blockchain for businesses is exhilarating, the implementation is excruciating. Companies that turn to traditional blockchain solutions quickly face a whole new set of problems across integration, scalability and overall performance. Here are the top three reasons why I think blockchain is not necessarily the solution for all businesses looking to streamline data.
The technologies don’t align.
Enterprise blockchain applications require integration with other enterprise systems to work. This means that legacy systems, applications and data sets need to integrate seamlessly, which is a big problem if you and your partners are using different providers. If the tech stacks don’t perfectly align, the technology’s consistency, user experience and overall performance are severely limited. This creates an entirely new set of silos and data problems. That means that if your business uses AWS and your partner uses Azure, it will be impossible to exchange data and communications across the blockchain solution. That then puts you in the very difficult position of trying to convince your partners, which are often many, to change cloud providers.
Continue reading: https://www.forbes.com/sites/forbesbusinesscouncil/2022/08/05/is-blockchain-the-solution-for-your-businesss-data-needs/?sh=273db2b15b6d

Although Bitcoin and other cryptocurrencies dominate blockchain discussions, this technology could disrupt far more than the financial sector. That's because there are different types of blockchain, and some are fit for enterprise use.
In the broadest terms, blockchain is a distributed ledger technology that records data in a public ledger without requiring third-party validation. Instead, unidentified parties confirm the data's validity via an established consensus method.
To understand blockchain's potential business value, CIOs and other leaders must first recognize the difference between public blockchain and enterprise blockchain and the benefits and drawbacks of the latter.

What is public blockchain?
Many consumers are familiar with a public blockchain, also known as a permissionless blockchain. Information on a public blockchain is transactional data stored on digital nodes, distributed via a decentralized, peer-to-peer (P2P) network of computers. Users are pseudo-anonymous and confirm the authenticity of data added to a blockchain by consensus. The distributed ledger technology underlying blockchain records the details of an asset's transaction in several places, accessible at any time.
Well-known public blockchain uses include cryptocurrency and nonfungible tokens (NFTs). NFTs are cryptographic assets converted into exclusive, digital representations that exist as a singular copy on the blockchain. Consumers buy, sell and hold these digital collectibles with the NFTs authenticating their ownership. Usage of NFTs ranges from trading cards to real estate and art pieces. In addition, NFTs and cryptocurrency are examples of decentralized finance. Each utilizes blockchain technology to remove the intermediary processing of a financial transaction.
Two drawbacks of public blockchain are performance and scalability. The system slows down, is costly to support, and becomes less sustainable as the number of transactions it must support increases. The number of transactions also inhibits its ability to scale at a reasonable pace. Blockchain, especially cryptocurrency, also uses an enormous amount of energy.
Continue reading: https://www.techtarget.com/searchcio/feature/The-basics-of-enterprise-blockchain

Chances are you’ve heard of NFTs. Think of them as digital assets backed by certificates of ownership that can’t be forged. Nothing on the internet is truly yours: All your digital assets are data points on company servers that can be erased. But with non-fungible tokens, or NFTs, users “mint” unique on-chain assets that they fully own. Since each record is encrypted, trust is decentralized and allows for ownership that can’t be destroyed.
This is huge for gaming. NFT trade volume grew from $135 million to $64 billion since December 2020. The blockchain gaming industry grew 2,000% in the past year and has attracted $2.5+ billion in investments. People are fascinated by the idea of putting durable in-game assets on a blockchain. For players, items they acquire will now be tradable for monetary value. For game companies, their assets become persistent platforms on top of which other developers can build experiences. However, while these concepts are exciting, the space is young and it comes with its own challenges.
Here are three things you should know about the world of blockchain gaming.
1. Gamers don't like NFTs.
Gamers care about one thing: having fun. The moment that fun comes with an ulterior motive, they riot. Subscriptions and microtransactions have been a tough sell to gamers. Diablo Immortal, a recent Blizzard title, received the lowest user score in Metacritic history after it was discovered that it could cost players up to $110,000 to fully upgrade a character.
When it comes to NFTs, where every win/loss might translate to earnings, the pushback can be immense. Prominent game studios such as EA and Ubisoft have faced intense backlash from gamers on their NFT rollouts. For Web3 business owners, game developers and investors, it is vital to be cognizant of this general sentiment and hedge against it.
Continue reading: https://www.forbes.com/sites/theyec/2022/08/02/3-things-you-need-to-know-about-blockchain-gaming/?sh=2b494c444a85