Women -- society has often told them what to be, where they belong, and what they can and cannot do or say. Today, labor force participation by women is at 58% and a mere 10% of those women are working in the data center industry. While the number of women in the industry is increasing, it’s moving at a snail’s pace. It raises the questions: Why aren’t more women in the industry? Why does it matter? And what can they do to succeed, contribute, and advance once they arrive?
Where the Roadblocks Begin
The data center industry is surging in growth, with its market size valued at 215.8 billion USD in 2021 and expected to rise to 288.3 billion USD by 2027, as reported by Aritzon’s recent market research report. In contrast, Uptime Institute found that one in four data center operators don’t have women as part of their design, build, and operations staff. Uptime Institute also reports that the proportion of women working in the data center industry increased by 30% in 2021, showing that women are interested in the field.
Furthermore, initiatives to bring women into STEM (science, technology, engineering and mathematics) positions are receiving more attention, with programs and companies created to support the cause.
However, 32% of women surveyed in Skillsoft’s Women in Tech report said there isn’t sufficient training in the industry. So, once they’re in the space, training, development, and support are reported to be lacking.
Are companies that have and believe in their diversity and inclusion missions sufficiently supporting their staff with the right people, resources, and opportunities? What will it take to create and foster more opportunities and progress?
Continue reading: https://www.datacenterknowledge.com/industry-perspectives/3-ways-women-can-stand-out-crowded-industry-and-why-it-s-important

How is Artificial Intelligence Transforming the Future of Digital Marketing?
The digital marketing world is evolving due to artificial intelligence. Before the introduction of digital marketing, marketing was not as customer-centric as TV advertisements, billboard ads, or man-to-man marketing. However, it is now more centered on potential customers. Social media usage is common among people, making it possible to predict their demands accurately. And in this situation, artificial intelligence might be quite important.
Artificial intelligence has already impacted the management of marketing campaigns and how businesses interact with their clients. The world of digital marketing has seen a significant transformation with the introduction of AI.
It helps companies create efficient digital strategies, optimize marketing efforts, and boost return on investment. With the help of smart devices, chatbots, and self-driving cars, AI influences many aspects of life. These are designed to determine client preferences and interests so that they can offer a customized customer experience It is challenging to forecast the future because technology advances too quickly. But in this post, we’ll try to point out a few clear aspects that will alter the course of digital marketing in the future.
What is Artificial Intelligence (AI)?
The creation of intelligent machines capable of doing tasks that typically require human intelligence is the focus of the broad field of artificial intelligence (AI) in computer science. The phrase typically refers to the objective of creating systems with human-like thinking abilities, such as the capacity for reasoning, meaning discovery, generalization, or experience-based learning.
How is Artificial Intelligence (AI) changing the world?
The development of AI is still underway. But the positive impact is visible now. Artificial intelligence can think, read, and react almost like humans when trained with a vast data set. While Artificial intelligence may technically handle any task, it is primarily recognized for robotics, speech recognition, and image recognition. This section will see how AI is changing the world.
Continue reading: https://www.inventiva.co.in/trends/how-artificial-intelligence-future-digi/

Businesses must analyze and understand the different ways to implement AI in their operations.
In the field of technology, artificial intelligence (AI) is a popular term. Through its learning algorithms, it is thought to have the power to alter any industry and provide enterprises with a bright future. With the daily data it creates, this ground-breaking technology helps to enhance customer decision management, forecasting, QA manufacturing, and producing software code.
When integrating AI software into your organization’s operations, you must make sure it satisfies your organization’s needs. Consider taking the following actions to implement AI:
1. Learn About AI
Spend some time learning about the capabilities of contemporary AI. Additionally, you ought to utilize the plethora of online data and tools at your disposal to become acquainted with the fundamental ideas of AI. It is also advised to take a look at some of the online tutorials and remote workshops as simple ways to get started with AI and to improve your knowledge of subjects like machine learning and predictive analytics inside your company.
2. Determine the issues you want AI to address
The next step for every organization is to start exploring various concepts once you are familiar with the fundamentals. Consider how you might enhance the capabilities of your current products and services with AI software. More essential, your organization should have in mind particular use cases where AI may help with business issues or offer tangible benefits.
3. Find qualified candidates
It’s critical to focus a wide opportunity on a use case for practical AI project deployments, such as invoice matching, IoT-based facial recognition, proactive maintenance on aging equipment, or customer purchasing patterns. Be creative and involve as many people as you can in the process.
Continue reading: https://www.analyticsinsight.net/10-ways-to-successfully-implement-ai-into-any-business-operation/

For as long as there has been technological progress, there have been concerns over its implications. The Manhattan Project, when scientists grappled with their role in unleashing such innovative, yet destructive, nuclear power is a prime example. Lord Solomon “Solly” Zuckerman was a scientific advisor to the Allies during World War 2, and afterward a prominent nuclear nonproliferation advocate. He was quoted in the 1960s with a prescient insight that still rings true today: “Science creates the future without knowing what the future will be.” 
Artificial intelligence (AI), now a catch-all term for any machine learning (ML) software designed to perform complex tasks that typically require human intelligence, is destined to play an outsized role in our future society. Its recent proliferation has led to an explosion in interest, as well as increased scrutiny on how AI is being developed and who is doing the developing, casting a light on how bias impacts design and function. The EU is planning new legislation aimed at mitigating potential harms that AI may bring about and responsible AI will be required by law.
It’s easy to understand why such guardrails are needed. Humans are building AI systems, so they inevitably bring their own view of ethics into the design, oftentimes for the worse. Some troubling examples have already emerged – the algorithm for the Apple card and job recruiting at Amazon were each investigated for gender bias, and Google [subscription required] had to retool its photo service after racist tagging. Each company has since fixed the issues, but the tech is moving fast, underscoring the lesson that building superior technology without accounting for risk is like sprinting blindfolded.
Building responsible AI
Melvin Greer, chief data scientist at Intel, pointed out in VentureBeat that “…experts in the area of responsible AI really want to focus on successfully managing the risks of AI bias, so that we create not only a system that is doing something that is claimed, but doing something in the context of a broader perspective that recognizes societal norms and morals.”
Continue reading: https://venturebeat.com/2022/07/01/building-responsible-ai-5-pillars-for-an-ethical-future/

Artificial intelligence (AI) is thought to be instrumental to the complex phase confronting critical infrastructure and its sectors. Every industry is facing the mounting necessity to become more agile, resourceful and sustainable. As a result of those pressures, entities in charge of systems that are essential in our everyday lives have made substantial strides toward constructive transformation and smarter digital initiatives. Ambitions for smart cities with intelligent critical infrastructure are no exception.
Out of the 16 "critical systems" infrastructure sectors defined by the U.S. Cybersecurity Infrastructure and Security Agency (CISA), AI stands to make some of its greatest impacts on energy, power/utilities, manufacturing and healthcare during this transformational stage, which seeks to make our systems as smart as possible. AI is expected to play a foundational role across our most critical infrastructures.
However, some are hesitant and concerned that AI isn’t relatable enough to be delegated such an important assignment, asking important questions about whether it’s capable of taking on such vital tasks, collaborative enough to cooperate with humans and trustworthy enough to prove its transparency, reliability and dependability. As the CEO of an AI company making advanced digitalization software products and solutions for critical infrastructure industries, I believe that enabling humans and AI to form a trusting partnership should always be a crucial consideration.
AI Across Major Critical Infrastructure Systems
Whether because of resistance to buy-in by stakeholders that misinterpret AI’s goals or underutilization of proposed solutions—and unrealistic expectations (or simple distrust) around the technology’s ability to solve complex problems—AI adoption and implementation reluctance have been noteworthy obstacles. However, AI has long been proving its value across major industries such as those within critical infrastructure. It's often at the forefront of driving valuable strategies and optimizing the industry across all operations, largely putting such uncertainties to rest.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/07/01/can-we-trust-critical-infrastructure-to-artificial-intelligence/?sh=13f2640d1a7b

We're surrounded by smart devices, but how smart are they really? Siri and Alexa sometimes answer the wrong question. Embarrassing autocorrect mistakes happen. Many a robot floor cleaner has bashed repeatedly into the same wall.
Mistakes are usually harmless, but as autonomous technology spreads, the consequences grow serious. In recent years, 12 Teslas on autopilot have crashed into emergency vehicles with blinking lights. Something about the lights drew the vehicles in. The drivers, whose quick reactions are what Tesla's neural network relies on, weren't in a position to change direction.
There's a point of caution to be made here: Don't completely trust your "smart" devices. They are, after all, still being developed. This brings me to a second—and bigger—point. The delays and dangers will increase until smart devices interoperate on a data network. The most clever and useful innovations will only work if machines can communicate without human intervention. That, in turn, will only happen on a common data network.
Disconnected Pieces
Think of something most of us take for granted: HTTP. Web 2.0 uses HTTP to exchange data, which is why we're able to navigate online at all. Moreover, the HTTP we use today is not the same HTTP that Tim Berners-Lee proposed during the invention of the web in 1989. It evolved over time.
Similarly, there are three ingredients for a Web3 data network: self-verifying data, zero integration and data policy. The technology for each one exists. Web3 is so early in its evolution that all three are not being used together.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/06/30/the-three-requirements-of-a-web3-data-network/?sh=2fe647ae6f00

The last 13 years have seen blockchain technology evolve into numerous use cases — finance, data, logistics and security, among others. However, the idea of using blockchain’s immutable capabilities to ID humans got new life when Changpeng “CZ” Zhao visited the island country of Palau to kick off its digital residency program. 
The blockchain identity management market is estimated to grow by $3.58 billion in the span of five years from 2021 to 2025. Key factors include the rising demand for digitalization and privacy-respecting identity solutions. As a result, a myriad of solutions breached the market serving this need in the form of nonfungible tokens (NFT), distributed ledger technology (DLT) and barebone blockchain technology.
Considering the plethora of use cases that blockchain can serve on a day-to-day basis, numerous government organizations began experimenting with the technology — weighing heavily on central bank digital currencies (CBDC) and verifiable and immutable user identity.
Problems with traditional IDs
Correctly identifying — or ID-ing — an individual has always been paramount to governments to ensure targeted delivery of services and allowances, among other requirements, which holds true to this day. However, ongoing advancements in technology empowered the general public with tools to create IDs visually identical to the original. Given blockchain’s capability to store immutable records, authorities see the technology as a fighting chance against fraud related to ID theft and fakes. 
With traditional paper-based IDs comes the difficulty of confirming their legitimacy across different systems. History has shown how people successfully use fake ID cards to claim unauthorized access to a myriad of benefits. However, technological advancements such as blockchain have provided authorities with the opportunity to issue verifiable certificates and IDs while ensuring scalability, speed and security of the identity management system.
Continue reading: https://cointelegraph.com/news/integrating-blockchain-based-digital-ids-into-daily-life

Having more “women in tech” doesn’t necessarily mean more female engineers and developers, but rather getting more young women tech-ready, to see that technology can and must underpin and complement their business ideas. 
That is according to Omobola Johnson and Andreata Muforo, who together make up two-fifths of the management team at Africa-focused VC firm TLcom Capital, which is the first focus of a series of case studies and podcasts produced by Disrupt Africa, commissioned by Boost Africa Technical Assistance Facility and financed by the European Union under EDF Thematic Blending and Cotonou Investment Facility.
Female fund managers are very much in the minority worldwide. In the US, only nine per cent of decision makers in the VC space are women. In Africa, no definitive numbers are yet available, but female fund managers are hard to come by – a big mistake for the VC world, as data clearly demonstrates a direct link between gender diversity in teams, and increased profitability. The Diversity dividend: Female fund managers in Africa series (view here, free download here) looks at firms that recognize this truth, and put diversity front and center.
Johnson and Muforo come from different backgrounds and have followed different career paths, but now they are united in a set of common goals – building VC success stories in the African tech space, and bringing more women into Africa’s tech ecosystem.
Women in tech doesn’t necessarily mean more female engineers and developers, Johnson said. Rather, it’s more about getting young women tech-ready – to see that technology can and must underpin and complement their business ideas. 
Continue reading: https://disrupt-africa.com/2022/07/01/more-women-in-tech-doesnt-necessarily-mean-more-female-developers/

Every year in the month of March, we see corporations and organizations celebrating and commemorating the achievements of women through various campaigns and events, in conjunction with the International Women’s Day.
But women-related topics should not only be discussed in March. Last September, TechNode Global has put together a list of top emerging women-led startups in Southeast Asia, identifying and recognizing the top rising women in tech in the region.
This year, we talked to several venture capital (VC) firms to learn more from their perspectives on gender gap in the tech ecosystem. We sought their thoughts on gender lens investing and asked for their suggestions on how female tech entrepreneurs can improve further, closing the gender gap in the very much male-dominated tech startup ecosystem.
Generally, there has been more capital invested in female-led startups in recent years but women are still underrepresented in tech leadership, according to Boston Consulting Group. Women make up almost half (47 percent) of the US workforce, but they hold less than one-third (28 percent) of the leadership positions in tech.
Tech firms globally still suffer from a serious gender imbalance. A study from consultancy firm Accenture and NGO Girls Who Code showed the proportion of women working in the sector is now smaller than in 1984. The tech sector still faces significant challenges in its bid for gender equality with reports of sexism and toxic cultures in some firms, according to a report by AFP.
Zooming into Southeast Asia, it is worth noting that the region has started strong in gender representation in tech, surpassing even some mature Western markets like the UK and US. A study by the Boston Consulting Group and Singapore’s Infocomm Media Development Authority published in October 2020 revealed that women account for 32 percent of Southeast Asia’s tech sector workforce, exceeding the global average of 28 percent.
More VC firms and angel investors are wising up to the opportunity to invest in the region’s female founders. Some are even setting up female-focused funds to support and invest in female-led startups, besides putting more emphasis on diversity and inclusion. While not all VC firms are setting up female-focused funds, most VC firms would still hope to be seen as supportive of empowering women and actively promoting gender diversity, with some motivated by reputational pressure.
Continue reading: https://technode.global/2022/07/01/women-in-tech-how-these-vcs-are-helping-to-close-gender-gap-in-southeast-asia/

Claire Blythe, VP, global tech and operations at GfK (the AI-powered intelligence platform revolutionizing real-time access to critical knowledge), won Role Model of the Year at Computing’s recent Women in Tech Excellence awards. We ask for her secrets to success in technology leadership, and how women can rapidly advance their careers in the field.
What does your role encompass?
As the VP of global tech and operations for the Marketing and Consumer Intelligence arm of GfK, I look after a team of about 60 engineers and six project managers in global operations. My role is to set the strategy around our tools, systems, and processes, and ensure all relevant internal stakeholders are engaged. Stakeholders include scripters who create our surveys, data processors producing analytics and data visualisations, and project managers in charge of delivery. I need to ensure that we all understand each other’s requirements and that we deliver compelling services that power future growth.
What is your background?
It’s not a typical background in technology, but the various roles I have had were all crucial in bringing me to where I am today. After my drama degree, I got a job at the research company NOP as a telephone interviewer. NOP was later bought by GfK. I took various management roles in Operations before eventually moving into the global team. I was then asked to take leadership of the global tech team. I’m proud of my background. Sometimes, people talk down their early career, but my telephone interviewing was crucial in understanding the core processes and people we support now. My current role depends upon critical business problem-solving skills and working with the various expert capabilities within the team.
Continue reading: https://www.cio.com/article/402492/what-it-takes-to-be-a-winner-in-tech.html

During a women leaders’ networking event, a male senior executive was invited as a guest speaker. As he entered the board room, he looked at the twenty-odd women sitting around the table. He commented in a slightly nervous tone: “Oh my… I feel outnumbered.” The women looked at each other and laughed. For this man, being the only representative of his gender in a room was a novel experience. For most women in the room, it was a consistent experience throughout their careers in the technology domain.
Across the globe, the numbers show steady but slow progress in women’s participation in the tech industry. Significant discrepancies come into notice when looking at individual countries. In the UK the percentage of women in the IT workforce is less than 20% and this figure has not changed in the last ten years. When looking at senior positions, the representation of women drops dramatically, to just 10%. EU countries report similar numbers. The US have better results. According to self-reported data women represent around 24% of the technical workforce at Microsoft, Google, Apple, and Facebook. And the overall number across the tech industry was around 29% in 2020. This is significant progress from just 8% in 1970 but very slow considering fifty years have passed.
India is doing comparatively better. Large technology service providers like Wipro, Tech Mahindra, Infosys or TCS report around 30% of women in their workforce. They have shared plans to increase the proportion to 45% to 50% by actively hiring women. The percentage of female engineering students is one of the highest in the world, around 30%. But the majority of women tech workers are below 30 and unmarried, and a large chunk exits the industry after just five years of career.
Continue reading: https://timesofindia.indiatimes.com/blogs/voices/the-unstoppable-growth-of-women-in-technology/

As artificial intelligence (AI) becomes more and more prevalent in society, it is also making its way into the world of cyber security. AI can be used in a number of ways to help improve cyber security, including by automatically detecting and responding to threats, improving network efficiency, and helping to identify vulnerabilities. In this blog post, we will discuss some of the ways that AI is changing cyber security and how it can help your business stay safe online.
Artificial intelligence is changing the landscape of cybersecurity. The advantages in this article show that by implementing AI systems, organizations will be able to increase their speed of detection, and response and be more proactive in predicting and handling emerging threats.
What is Artificial intelligence(AI)?
Artificial intelligence is a type of intelligence displayed by machines, as opposed to the natural intelligence displayed by humans and other animals. AI applications can analyze data and make decisions on their own, without human intervention.
AI is achieved through evaluating the processes and researching the patterns of the human brain. These threat investigations result in the creation of intelligent software, systems or AI powered solutions.
AI learns over time, handling a lot of data
Foundations of AI are based on what is known as the Turing test in AI. The Turing test in AI is a method of determining whether or not a machine can exhibit behavior that is indistinguishable from a human. If the answer to this question is yes, then the machine is said to have passed the Turing test and is considered intelligent.
The three main components of AI are:

1. Learning in AI is the process of acquiring new knowledge or skills from experience.
2. Reasoning is the ability to draw logical conclusions from a set of premises.
3. Self-correction is the ability to identify and correct errors.
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   Continue reading: https://securityboulevard.com/2022/06/the-role-of-ai-in-cyber-security/

Artificial intelligence “acts” unethically in ways that are different from humans, even if the harms that both AI and humans can cause are similar. For example, even if both humans and AI can invade people’s privacy, discriminate, or cause physical harm, artificial intelligence does not act with intention to cause such harm. Rather, the harm results from how artificial intelligence collects and processes data.
Currently, artificial intelligence cannot achieve consciousness, though one Google engineer disagrees. Today, the type of artificial intelligence that companies are creating and incorporating into their operations and decision systems is artificial narrow intelligence, which refers to a computer's ability to perform a single task or limited tasks extremely well. Otherwise known as “machine learning,” in most cases, that task is to process data through learning by example. In discovering commonalities between data points, AI will discover (or construct) a pattern that it will use to identify what the AI algorithm is meant to find and/or provide a solution, given the pattern revealed by the data points.
In many ways, “machine learning” is similar to reasoning by analogy or inductive reasoning by humans. Reasoning by analogy is when a person compares two cases to determine how similar they may be for the sake of applying the same conclusions from one case to the other. It is a way to establish a pattern for cases that may be diverse but have a common theme. Inductive reasoning is when a person draws a conclusion or a broad generalization from a set of specific examples. The larger the set, the more accurate the conclusion can be. It is a way to find the pattern among the particulars.
The major difference between these two forms of human reasoning and “machine learning” is in the fact that “machine learning” is more vulnerable to what G.E. Moore called the naturalistic fallacy, which is when one mistakes what currently exists with what should be seen as moral. For example, the naturalistic fallacy may conflate the existence of systemic bias with an assumption that it should continue. For AI ethics scandals, there is no dearth of examples of AI algorithms reinforcing discriminatory practices simply because discrimination is already rampant. Most recently, the Department of Justice and the Equal Employment Opportunity Commission have found that AI may be discriminating against disabled applicants in the hiring process.
Continue reading: https://www.forbes.com/sites/irabedzow/2022/06/30/what-it-takes-to-create-and-implement-ethical-artificial-intelligence/?sh=4a62f110f928

Every company gathers data and lots of it—customer data, market data, competitor data and industry data. Cloud systems, software as a service (SaaS) and business intelligence (BI) tools process zettabytes of data each year. But how many companies are able to make the best use of this data using the tools and teams they have today?
Data can be a company’s most valuable asset, providing the basis for predicting everything from future revenue to buying behavior and customer retention. Many companies have well-established BI teams that review and analyze historical data for performance and management trends. But when companies want to move beyond traditional historical analysis to incorporate predictive analytics and artificial intelligence (AI), they face challenges in finding the talent and tools they need. Data scientists are hard to hire and are trained to focus more on research and model accuracy than on specific business results.
But is there a way to bridge the gap by evolving business analyst teams into a new breed of AI analysts? After all, BI teams have many important strengths: They know the business, know what’s important to the stakeholders and the lines of business they support, and they understand the data they’re working with better than anyone else. And although they aren’t as statistically experienced as data scientists with building and maintaining predictive AI models, there are technological innovations that can help bridge these data science knowledge gaps.
When businesses want to use the data, tools and teams they’ve already built today to start generating more useful predictions about the future, how should they prepare? And what steps can they take to prepare to use their data to make accurate AI-based predictions?
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/07/01/building-a-bridge-between-artificial-intelligence-and-business-intelligence-to-maximize-business-outcomes-part-one/?sh=618420fbf186

The terms ‘web3’ (Web 3.0) and ‘metaverse’ have been so heavily promoted by the cryptocurrency and gaming industries that it is easy to think it’s a niche terminology with little overall business value. That would be wrong. Each technology offers valuable business opportunities — but their synergy could change the nature of the future internet.
Web3 fundamentally comprises the blockchain technology that underpins cryptocurrency. Cryptocurrencies are still searching for legitimacy beyond an a risky and highly speculative investment opportunity. They haven’t found it. They are loved by speculators and widely used by criminals but largely shunned by a business world that prefers the greater stability of fiat currencies (Bitcoin dropped in value from around $60,000 in November 2021 to less than $18,000 in June 2022). 
Nevertheless, cryptocurrency paints itself as the future of global finance (not impossible, but a long and hard road). By promoting the underlying technology as web3, and describing it as the future of the internet, it gains some credibility for its own futuristic claims.
The metaverse is any technology that provides an immersive experience, so that users feel as if they are part of the experience rather than just spectators of a flat or moving web page. The gaming industry has been moving in this direction for years – but the reality of fully immersive virtual reality is still largely in the future.
Nevertheless, the metaverse potential goes way beyond gaming, driven by the human preference to talk ‘in person’. Immersive virtual reality on social platforms will allow people to meet and talk face-to-face, will bring remote workers together more effectively than Zoom, will allow genuine distributed learning from junior school to metaversities, will facilitate effective remote medical consultations – and much more.
The synergy between web3 and the metaverse will come from the greater need for fine-grained and secure access control into, and identity within, the metaverse – something that can be effectively delivered in a secure decentralized manner by web3’s blockchain technology. It is the focus on identity within the metaverse, and the ability for web3 to deliver that identity securely and across multiple metaverses, that leads some commentators to describe web3 as the enabler of the metaverse.
Continue reading: https://www.securityweek.com/securing-metaverse-and-web3

May 22 is referred to as “Bitcoin Pizza Day,” because on that day in 2010, a programmer named Laszlo Hanyecz engaged in what is widely considered to be the first cryptocurrency commercial transaction: he bought two pizzas with 10,000 bitcoin. Given the current price of bitcoin, that works out to over $170 million per pizza.
Twelve years later, bitcoin is more mainstream, especially in the worlds of technology and investing, but businesses that accept any form of cryptocurrency are still considered fairly exotic.
However, if the evolution of cryptocurrency as a means to transact business follows the typical technology adoption curve, today’s early adopters will soon be joined by many others. So should your business start accepting cryptocurrency as payment for goods and services? It depends. It will inevitably become a more seamless process, but today there are still some complications and risks you need to be aware of—and also many potential benefits.
Pros and cons of accepting cryptocurrency
When it comes to cryptocurrency, one person’s “con” is another’s “pro”—so whether your business should transact in cryptocurrency depends heavily on your goals and appetite for risk.
Pro: Payments are irreversible
The fact that crypto payments are irreversible is a benefit to businesses. Only the business receiving the payment can issue a refund—there is no third-party payment processor who can claw back a payment in response to a baseless fraud claim.
Pro: No payment processing fees
In addition, unlike with credit card transactions, there are no “middle-man” payment processing fees with crypto transactions. Because it is a digital currency that doesn’t flow through a bank or other third party, there are no fees required for a customer to transmit and a business to accept bitcoin.
It’s important to note, however, that there are fees involved for a business to convert bitcoin to dollars, should it choose to do so. Companies such as Coinbase provide merchant services (for a fee) that immediately exchange digital currency for its cash value.
Continue reading: https://www.allbusiness.com/should-you-accept-cryptocurrency-at-your-small-business-learn-the-pros-and-cons-209708-1.html

Web3 is one of those buzzwords that electrify the tech community. Crypto bros are singing its praises across the Twitterverse, often whilst peddling their own supposedly essential solutions for it. However, that doesn’t explain what Web3 is. Don’t worry, though. We’ve got you covered.
Essentially, Web3 is the internet on blockchain. It has been advertised a solution to the solution for the status quo where a handful of companies control our online interactions. These companies – the Googles and Facebooks of the world – collect our data and sell our attention as a product to other companies for profit.
Current Web2, full of photos, videos and user-generated content, costs us almost nothing – except our time and attention, oh, and maybe our mental wellbeing. At least, that’s what Meta whistleblower Frances Haugen has repeatedly told any lawmaker willing to listen.
Some crypto bros think this needs to change. They evangelize that control must be redistributed and decentralized. That’s where Web3 comes in.
So what is Web3? At it’s core, Web3 is an ideology born out of the rejection of the idea that Big Tech must be the guardians of the web and our online interactions. Web3 fanatics will advocate for an internet infrastructure overhaul built upon blockchain to reduce our reliance on Web2 middlemen and hand control back to users. In utopian Web3, Big Tech will no longer be gatekeepers of the web and all user-generated data. It could be a fundamentally different kind of internet.
Is Web3 the same as cryptocurrencies or the metaverse?
By that description, it might be easy to conflate Web3 with cryptocurrencies or the metaverse. So are they the same? No, but they all overlap.
So what are cryptocurrencies? The phrase is a shorthand that usually refers to different digital assets leveraging blockchain technology. Bitcoin is the most known cryptocurrency out there. By their nature, they are decentralized, meaning that they are not controlled by a central bank.
Continue reading: https://www.verdict.co.uk/what-is-web3-crypto-bros/

In recent years, Metaverse has become one of the biggest buzzwords across industries — most especially in technology and popular culture — with major stakeholders making investments to help create the convergence of the digital and physical worlds. For the layman, the Metaverse is a 3D virtual universe where users can gather as a group of avatars, interacting with one another in surroundings that replicate the physical world with select modifications.
As cryptocurrency becomes more widespread and digital financial capabilities continue to grow, the establishment of the Metaverse couldn’t come at a more suitable time. The virtual world opens a world of opportunities for users to try out various activities that they can normally do in real life, only it’s online and in a completely new space. It also offers a novel and immersive internet experience in which major brands across various industries are eager to join in.
In the Philippines, the Metaverse is ripe for business opportunities, especially for small and medium enterprises that have come to rely on digital tools for their businesses amid the pandemic.
“Given the growing interest and excitement surrounding the Metaverse, business leaders must begin their research and develop a better understanding of the Metaverse,” said Abraham Lim, Secure Power director at Schneider Electric Philippines. “The next few years are crucial for the digital and technology spaces. Leaders must be prepared for what the constant evolution of technology could have in store for them, and what it will take to bring the Metaverse to life.”
Betting the future of business on the Metaverse
The world is transforming at a rapid pace. Given the onslaught of digital and technological changes, organizations will need to keep up with emerging customer demands, which in turn will enable them to navigate the current and future economic environment. For this reason, CIOs across the board must start thinking of ways to drive growth and remain agile. One way to do this is by bringing their digital presence to the next level and be well-prepared to do so, once the Metaverse becomes a reality.
Continue reading: https://backendnews.net/how-edge-computing-plays-a-key-role-in-preparing-for-the-metaverse/

This year, evidence has shown that the hype surrounding Edge Computing has been overdone—according to a new Mobile Experts forecast on the topic, the massive investments that were imagined two years ago have not arrived like some said they would. This new report investigates where the market will go from here. Will the market for Commercial Edge Computing data centers arise? Who will fund the investment in multi-client data centers in the Edge? "So far, the telcos have been too timid to capitalize on this market, and they are letting an opportunity slip away," commented Mobile Experts Chief Analyst Joe Madden. “Regional Edge, or the Near Edge, is good enough for most applications, and the operators could be moving faster to develop commercial offerings in a few dozen regional sites. Because the operators are moving slowly, we see faster progress with on-prem edge computing and Local Zone investment by the hyperscalers. The good news is that the operators can make a diving catch with Network Slicing in the future small-business segment." Edge Computing 2022 investigates the present market dynamic and how it will evolve moving forward. According to the report, companies focused on Commercial Edge Computing have not made much progress in the past year in terms of the number of new sites deployed. Mobile Experts interprets this lack of progress as a sign that revenue-generating apps are not yet mature. “When software for Edge Computing reaches a higher level of maturity, where an app developer can tweak existing software to address a new application in days, not months, then the market will take off. For now, we see more investment in on-prem edge computing with tens of thousands of edge nodes, and weak investment in commercial edge nodes, with only a few hundred,” said Chief Analyst Joe Madden.
Continue reading: https://www.einnews.com/pr_news/579039880/here-s-when-mobile-edge-computing-investment-will-rise-and-what-s-happening-in-the-meantime

It is an old adage that nothing ever stays the same, but businesses today must yearn for the time when there was not an endless stream of regulation and new compliance responsibilities to contend with. This enormous volume of regulation and legislation affects all businesses.
Regulatory compliance exercises already pose a significant challenge to legal departments, made harder by both the unprecedented volumes of legal and enterprise data that needs to be reviewed and the complex corporate operating structures that often see relevant information siloed across different storage locations, whether it's cloud environments or employee laptops. All the while, the economic, reputational and, more recently, ethical repercussions of noncompliance have never been greater.
Under this regulatory deluge, many legal professionals are still reliant on rudimentary technologies and traditional, manual document review techniques to locate relevant information across an enterprise's contractual landscape. Such methods present not only countless inefficiencies, but they also place lawyers at significant risk of missing key information during a review. The need for AI has never been more evident. AI can understand vast numbers of legal documents in mere seconds, understanding, processing and flagging information for lawyers to analyze and act upon.
To appreciate the value of the reactivity and adaptability of AI to global regulation, one needs only to consider the current sanctions imposed on Russia, in response to which legal teams have had to take immediate action to assess their client or organization's level of exposure to sanctioned entities. As AI reads and understands legal documentation at speed, it can immediately provide a holistic overview of any organization's business activities, including those linked to Russia. AI would not only identify all geographies present within contracts, displaying any contractual ties to Russian entities, but it would also surface documents containing references to Russian places and legal structures.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/06/29/adopting-ai-to-manage-regulatory-complexity/?sh=475590092300

We're now halfway through 2022, and already we have seen a range of cyberattacks, familiar and unfamiliar, disrupting organizations. However, we have also seen uplifting stories of successful threat detection efforts, as well.
In this article, we will look at five novel, sophisticated, or creative threats that used techniques such as "living off the land" to evade detection by traditional defensive measures. These threats were all discovered by artificial intelligence (AI) technology, which can spot subtle deviations in device and user behavior and autonomously enforce "normal," stopping a threat in its tracks.
1. Leading Laboratory Interrupts Dark Web Insider Threat With AI
Cyberattacks against the healthcare sector hit record highs last year, and for these organizations cyber threats can have severe real-world consequences. One of Darktrace's healthcare clients is a company specializing in the research, development, and manufacturing of innovative in vitro diagnostic tests for disease, conditions, and infections.
In March, this company was targeted by a malicious insider threat. An employee was looking to exploit their access within the organization to sell proprietary intellectual property, perhaps even medical supplies, on the Dark Web. The employee was detected using Tor on a company device to connect to a Dark Web pharmaceutical market forum.
Malicious or compromised insiders can be difficult to identify because their privileged access and knowledge of company workings allow them to evade detection by traditional security tools. In order to protect intellectual property from insider threat, organizations need to augment security teams with AI-powered technology to stop malicious activity in real time.
In this case, given that no other company device had visited the Tor network in the past, Darktrace's AI flagged the activity to the security team, who were then able to investigate the employee and discover their malicious intentions.
Continue reading: https://www.darkreading.com/dr-tech/5-surprising-cyberattacks-ai-stopped-this-year

Cyberattacks have evolved to the point where they are among the greatest threats to personal, private and national security. This problem has its roots in profound decisions made about device architecture decades ago. It’s safe to say that when the earliest data servers were being introduced, no one could have imagined how rapidly societies would migrate to digital environments and cloud computing. Brick-and-mortar businesses have been supplemented by or even outright replaced by 24/7 online storefronts, and access to them has expanded from desktop PCs to mobile devices, driving convenience for customers, profit for businesses and efficiency for both.
The Struggle To Keep Up With Cyber Threats
Driven by the ever-increasing demand for bigger and better data centers, server designers and engineers focused on features and performance above all else, effectively treating security as an afterthought. This oversight created inherent security holes in the architecture that later needed to be addressed. Patching these holes with third-party software was often counted on as the most viable security solution, and it remains the go-to tool for many organizations. But professionals in the cybersecurity industry feel that software isn’t the answer, as solving its shortcomings appears insurmountable.
The cybersecurity industry has spent billions of dollars seeking dependable tools to lock out criminals. Whether it’s security companies, chip manufacturers, in-house cybersecurity units or government agencies, experts have failed to consistently address cybercrime. The evidence is undeniable: thousands of data breaches each day, billions of dollars lost every year, more-frightening ransomware attacks with greater frequency and deepening threats as bad actors increasingly ramp up cybercrime into the realm of cyberwarfare.
For years, cybersecurity has deployed software patches and hardware fixes that have turned out to be far from adequate. In many ways, these band-aid solutions have driven the industry to search more intensely for an ironclad option.
Continue reading: https://www.forbes.com/sites/forbesbusinesscouncil/2022/06/29/how-ai-can-help-solve-cybersecuritys-predicament/?sh=2669c2e61666

As the benefits of artificial intelligence (AI) in the marketplace continue to evolve, more and more organizations are finally starting to see the light.
Whether it’s lightening the load for staff members who desire to focus on more meaningful assignments or it’s developing a quicker strategy to turnaround data analysis results you’re ready to discuss with the team, AI can serve a crucial purpose in helping the business to steadily move forward, improve customer satisfaction, and revamp its image.
Here, Fast Company Executive Board members weigh in on how their use of AI has helped their companies improve business performance and spark innovation.
1. IT INCREASES THE FUTURE OF AUDIOBOOK CAPABILITIES.
We thought we could offer AI-narrated audiobooks for clients but alas, the technology at this point is still not quite up to par and Audible won’t sell AI-narrated books. But I believe that will change soon and so there will be even more audiobooks than there are now (and audiobook publishing increased 39% between 2019 and 2020!) – Anna David, Legacy Launch Pad
2. IT ENHANCES CREATIVITY.
You don’t have to have your own AI created from scratch to do something new and exciting. We have discovered that by simply linking existing AI platforms using an “if-then” protocol—an application programming interface, and limited human interaction, you can design your own computer of sorts that can accomplish just about anything. – Ryan Blanch, Repute PR + Law
3. IT SPEEDS UP THE RESULTS FOR CLINICAL RESEARCH DATA.
In life sciences and in particular clinical research, where the goal is bringing life-saving treatments to patients faster, artificial intelligence offers teams working with clinical data the ability to transform data into intelligent decisions quickly. We’re working on ways for machine learning to automate manual data processes, so researchers reduce time to insight without sacrificing quality. – Raj Indupuri, eClinical Solutions
Continue reading: https://www.fastcompany.com/90761452/14-ways-ai-is-changing-the-way-leaders-do-business

Many people don’t really think about how the internet works. Many people also don’t know how information gets passed between servers and computers. In short, network protocols cover this entire process. They govern the information transmission over your network. Therefore, the process is a bit more complicated than just sending data over a cable. Networking teams also need to know which protocol to use for their business and they’ll look for the most optimal mode of data transmission to match the best business purpose. 
In this article, you’ll learn what a network protocol is. I’ll also touch a bit on the different kinds of protocols and what you can use them for. Finally, we’ll dive into the best protocols to use in your business. So let’s begin with what a network protocol is. 
What Is a Network Protocol?
A network protocol is a way that servers and computers can communicate with each other. Essentially, network protocols dictate how devices pass data back and forth.  Internet protocols are rules and parameters for transferring data over the internet. This data can include videos, images, text, and other multimedia.  Generally, a protocol can get this information from a server to your computer. 
Data is broken down into small packets that contain metadata. Then, this metadata helps the data travel to the correct device. However, that’s not the only thing that network protocols help you achieve. Let’s take a more detailed look at different types of protocols. 
Types of Network Protocols
Network protocols come in different types. To start, communication protocols, like HTTP, will help you send data across your network. Yet, you also want to manage how the data gets sent. Additionally, you want to ensure your device configuration is optimal. Finally, you need to protect this data and your network.
To do all this, you need different categories of network protocols. I’ll show you the three main categories below. 
1. Communication Protocols
The following protocols help you send data over a network. They’ll also open up communication channels between devices. Communication protocols will help transfer information between devices on your network. 
HTTP/HTTPS
HTTP is the standard for internet browsing. It’s essentially the cornerstone and foundation of internet communication protocols. HTTP is an application layer protocol that allows a server and browser to communicate. 
TCP/IP
Transmission Control Protocol takes data and breaks it down into packets. Then, these packets can be transmitted over a network. In packet form, this data can be sent to devices such as switches and routers. After that, the information gets relayed to the destination. TCP/IP operates on layer 3, known as the network layer. 
Continue reading: https://techgenix.com/network-protocols-guide/

“IoT Security Services Market” study by “marketreports.info” provides details about the market dynamics affecting the IoT Security Services market, Market scope, Market segmentation and overlays shadow upon the leading IoT Security Services market players highlighting the favorable competitive landscape and trends prevailing over the years.
This IoT Security Services Report encloses comprehensive analysis on the IoT Security Services market and are assessed through volume and value data validated on three approaches including top companies revenues. It concludes with precise and authentic market estimations considering all the parameters and market dynamics. Every crucial and decisive detail for the development and restriction of the market is mentioned in fine points with solutions and suggestions that may affect the market in near future. Segmentation of the market are studied specifically to give profound knowledge for supplementary market investments.
Read more and download the study: https://www.designerwomen.co.uk/iot-security-services-market-is-booming-worldwide/