Today, businesses are increasingly relying on digital technologies such as Artificial Intelligence (AI) to remain competitive. Artificial intelligence however requires a high level of trust because of questions surrounding its fairness, explainability, and security.  Various stakeholders must trust AI systems before businesses can scale their AI deployments. The lack of trust can be the biggest obstacle to the widespread adoption of AI. We sat down with Sameep Mehta – IBM Distinguished Engineer and Lead – Data and AI Platforms, IBM Research India, to understand why Trust in AI matters in a digital world and how IBM is helping companies achieve greater trust, transparency and confidence in business predictions and outcomes by applying the industry’s most comprehensive data and AI solutions.  
Why Trust matters in AI in the digital-risk world?
AI is expected to be a multi trillion-dollar market opportunity in the next decade. Almost all organizations want to leverage AI to improve existing processes and to open new channels of revenue. However, lack of trust, transparency and governance of AI systems could be one major impediment to realize it’s true potential.
According to IBM’s Global AI Adoption Index 2022, while organizations have embraced AI, few have made tangible investments in ways to ensure trust or address bias. Four out of five businesses believe it is important to be able to describe how their AI made a decision.  In fact, majority of organizations haven’t taken key steps to ensure AI is both trustworthy and responsible, including reducing bias (74%), tracking performance variations/model drift (68%), and explaining AI-powered decisions (61%). Therefore, we need to embrace the right set of tools, learn the skills, and overall increase the awareness to embed trust into complete Data and AI Lifecycle.  
What are the barriers that CIOs face when it comes to introducing AI adoption in the enterprise and ensuring trustworthy AI systems?
In order to build trusted AI systems, we must address three key challenges. First, we need to educate and train technical and business leaders, so they understand trustworthy AI.  Leadership must recognize that trust in AI systems is a must-have capability and paying lip service will harm the organization’s overall AI initiatives.  Secondly, the CIO team should provide developers with trusted AI systems that is best in class. Libraries for checking models for bias, providing explanations, generating audit trails, etc., could be included in the overall DevOps toolchain managed by the CIO.  Finally, the Trust in AI should be simple and easily understandable across the organization. Read more at: https://www.cxotoday.com/interviews/why-trust-matters-in-ai-for-business/

The effects of fraud can be devastating on both individuals and organizations. Companies can suffer irreversible damage to reputation and be forced to close, and individuals can experience significant personal losses. Everyone should be aware of the risks and take steps to protect themselves against fraudulent activity.
Fraud Detection Technology
Fraud detection technology has advanced rapidly, over the years and made it easier for security professionals to detect and prevent fraud. Here are some of the key ways that Artificial Intelligence (AI) is revolutionizing fraud detection - with insight from Tessema Tesfachew, the Head of Product at Avora.
An anomaly can be described as a behavior that deviates from the expected. According to Tessema Tesfachew, “Autonomous monitoring and anomaly detection specifically, have made detecting fraudulent activity faster and more accurate. Machines can monitor data 24/7 as it comes in, build patterns of behavior that take into account seasonality and shifting trends, and identify events that don’t fit the norm.”
For example, banks can use AI software to gain an overview of a customer’s spending habits online. Having this level of insight allows an anomaly detection system to determine whether a transaction is normal or not. Suspicious transactions can be flagged for further investigation and verified by the customer. If the transaction is not fraudulent, then the information can be put into the anomaly detection system to learn more about the customer’s spending behavior online.
Accurate Root Cause Analysis
Root cause analysis goes one step further than anomaly detection, by allowing security professionals to pinpoint what caused the anomaly. Tessema explains how an example of this would be if a system detects that the rate of fraudulent transactions has increased.
Root cause analysis would pinpoint the specific ATM or point of sale, where this increase is occurring. Swift action can then be taken to prevent fraudulent activity at that location in the future.
Continue reading: https://www.securityinformed.com/insights/ai-revolutionising-fraud-detection-co-1619680890-ga.1619681736.html?utm_source=SSc%20International%20Edition&utm_medium=Redirect&utm_campaign=International%20Redirect%20Popup

So, you’d like to patent your artificial intelligence (AI). Congratulations, it’s going be a rough one. Broadly speaking, patents can be afforded to systems, apparatuses and processes. So why is patenting AI rough? Because patent language describes inventions in terms of what does what, why, when and how. In other words, you need to describe your AI invention in terms of structure. But U.S. courts do not consider computer structure (e.g., processors, computer memory and the like) to be machine structure, believing computer structure to implement only functions rather than execute any transformations of product. As a result, many machine learning models seeking patents in the U.S. are endangered.
That doesn’t mean you should give up on patenting your AI. Rather, it’s important to understand how your AI will be approached from a patenting perspective. Here are some tips for assessing the major categories of machine learning systems from a patenting perspective and the types of information you should give your patent counsel.
You want to patent a supervised learning model.
Here your system learns from a teacher that is a human. The most common example of this type of AI is a training model having a classification task, such as an image recognition model that trains the AI to predict what is in an image. Here, the teacher needs to provide the system with many examples of the subject, including both predictors and labels.
Now think in terms of structure, as structure is what you should claim in your patent. Without structure, your patent application relies mostly on functions, which many United States Patent and Trademark Office (USPTO) examiners will disregard as lacking patentable weight. So, what are the structures in a supervised learning model such as an image recognition model?
Continue reading: https://www.forbes.com/sites/forbesbusinesscouncil/2022/08/29/how-to-patent-artificial-intelligence-and-machine-learning-models/?sh=46569fee7539

For all the devastation it has caused, the Covid-19 pandemic could rightfully claim responsibility for accelerating the adaptation of artificial intelligence (AI) in the business world. Harris Poll, working with Appen, found that 55% of surveyed companies expedited their AI adoption plans in 2020 alone as a result of Covid, while a PwC study reports that 86% of businesses now regard AI as a mainstream technology.
With AI advancing faster than expected, experts in the field are predicting that it is only a matter of time before artificial general intelligence (AGI)—the ability of an intelligent agent to actually understand or learn any intellectual task that a human can perform—emerges.
Numerous surveys indicate that about half of AI experts believe AGI will happen sometime before 2060. Given the speed of developments and the vast amount of money being invested directly into AI research, though, it seems reasonable to ask why attaining AGI isn’t already further along.
As with most complex issues, there is no single answer. One of the biggest roadblocks to AGI emergence, though, is that as soon as some advancement in the technology shows promise, it is immediately pressed into service to achieve practical results.
In the 1980s when the backpropagation algorithm was incorporated into neural networks, for example, networks of just a few hundred artificial neurons were asked to score loan applications. They did this with circuitry using less than 10% of the neural complexity of a snail. By 2015, neural networks with perhaps the mental equivalence of a pigeon were still running algorithms similar to backpropagation and still doing financial analyses.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/08/29/why-artificial-general-intelligence-isnt-further-along/?sh=975ea3e4a255

Smart tech and engineering firm CAL International has formed a partnership with Australian green tech company AirSeed Technologies for a major climate change project that will employ aerial platform technology with the goal of planting 100 million trees by 2024. The partners have designed and engineered a seed pod delivery system for AirSeed’s existing delivery platform. Utilizing artificial and data intelligence, the AirSeed drone is a payload and delivery system that determines target areas using GPS coordinates before launching carbon pods at the ground at a rate of two-per-second.
These pods are then identified on the mapping system in accordance with the flight path, taking into account wind conditions and other variables at the date of planting, allowing the drone to return via the same route to record tree growth.
Each pod carries a gram of carbon gathered from rotting and dying vegetation, with the seed kept insulated from outside elements. The pod is activated during the rain, with rainwater absorbed by the carbon and allowing the seed to germinate. With a two-person team, one AirSeed drone is intended to plant 40,000 pods in just one day
“As soon as Andrew mentioned AirSeed to me I knew we were talking about a product and project that was ground-breaking in every sense of the word. CAL International is a unique business that not only has dedicated teams working in partnership with Blue Chip manufacturers but also incredible start-up technologies and disruptors such as NeedleSmart and AirSeed,” said CAL International founder and engineer Cliff Kirby. “As a company we blend a traditional engineering background with a company ethos built on innovation, as such we are often brought in to solve complex problems and issues in the automotive, defense, and nuclear industries. Often those complexities will span both engineering and tech fields, which allows us to create solutions that can then be scaled to volume.”
Continue reading: https://dronelife.com/2022/08/26/planting-trees-with-drones-airseed-delivers-seed-pods-for-drone-reforestation-initiative/

There is a good chance a drone is flying in your area right now. Drones have taken the business world by storm and drone services have become a must-have commodity for many businesses. Many businesses have already changed the way they do things by embracing this new technology.
The drone industry is still in its infancy stage and there’s a lot of potential for growth. Drone services companies are already assisting businesses in so many ways. They offer a safe, accessible, and cost-effective way to take aerial images and video. Moreover, drone services make it easier to do the following: 

• Collect and analyze data
• Observe areas that can not be accessed so easily
• Deliver goods and so much more

While still relatively new, the impact of the drone industry has been significant when it comes to transforming businesses. The future of drone technology is looking bright. Let’s look at the different ways in which business owners can use drone services to move their businesses forward.
Drone Videography and Aerial Imagery
With drone services, businesses can benefit from creative opportunities through aerial imagery and videography. Thanks to drones, aerial images and videos have become accessible and affordable as they had never been before. This has been especially beneficial for the entertainment and marketing industries.
Before drones, aerial footage and images were costly and not so easy to obtain. It would require scheduled flights, professional pilots, and expensive aircraft. Today, with the help of unmanned drones, aerial images and footage are much easier to obtain, and that too at a fraction of the cost. With fewer hurdles, more businesses are using drones to create cinematic footage and breathtaking imagery.
Continue reading: https://www.europeanbusinessreview.com/how-business-owners-use-drones-to-move-their-businesses-forward/

The adoption of drone technology across industries leaped from the fad stage to the mega-trend stage fairly quickly
The drone industry is rapidly growing and will continue to expand in the future. Unmanned aerial vehicles (UAVs) make various applications easier, such as commercial delivery, mapping, and search & rescue. Along with the economic benefits they create, these tools also speed up data collection and reduce the workload of the enforcement teams. Ongoing technological advances, such as algorithms to avoid obstacles and planned network configuration, increasingly allow pilots to fly their aircraft beyond the visual line of sight (VLOS), thus opening up the option of autopilot. Federal and local governments are now optimizing drone-related regulations to ensure aviation safety. This will enable everyone to benefit as the industry matures.
As a known fact, commercial usage of drones is gaining steady momentum and has become the talk of the hour, as multiple industries are working with drones as part of their daily regular business functions. The commercial drone industry is still young, but it has begun to see some consolidation and major investments from industrial conglomerates, chip companies, IT consulting firms, and major defense contractors. For now, the industry leaders are still a handful of early-stage manufacturers in Europe, Asia, and North America.
Drones can reach places humans cannot access easily. Flying at lower heights enables them to get sharp and high-quality images, allowing them to collect a lot of high-quality data compared to helicopters. As such, drones are now being used to capture breathtaking photos, perform aerial inspection services, and do many other complex tasks with ease. However, this is far from their real potential. The applications for commercial drones are numerous. They are likely to find many more applications in the building inspection, construction industry, oil and gas refinery inspection, agriculture surveillance and mapping, rescue operations, aerial photography, thermal imaging, and more.
Continue reading: https://www.analyticsinsight.net/drone-technology-is-here-to-enhance-your-present-and-shape-your-future/

Cloud computing services, artificial intelligence (AI), the Internet of Things (IoT), 5G technology, fixed broadband Internet, and blockchain technology are expected to lead the information technology and telecommunications sector over the next few years. According to a recent survey, technology companies are investing in core and fundamental technologies to serve digital transformation. Encouraging the digital transformation of business could be a crucial step as the Department of Enterprise Management earlier estimated that the country’s gross domestic product (GDP) could surge by US$30 billion if the country successfully digitises its small and medium-sized enterprises (SMEs).
Cloud Cloud computing services in Vietnam are forecast to develop with better security than physical servers, helping organisations increase productivity and reduce machinery and infrastructure costs. Vietnam’s cloud computing market is predicted to grow by nearly 26% annually, the fastest pace in Southeast Asia and higher than the global average of 16%.
Artificial Intelligence About 66.67% of enterprises are applying AI to their digital transformation process. AI can manage and optimise infrastructure and customer support and is expected to access all businesses in the future. Last year, the government issued a national strategy on the research, development, and application of AI until 2030, aiming to gradually turn Vietnam into an innovation and AI hub in ASEAN and the world.
Internet of Things The rate of firms using the IoT this year has reached 86.67%, an increase from 66.67% in 2021. IT experts believe it has the greatest development potential at present. Businesses can connect IoT devices from afar, collecting, and managing their data, processing data on demand, and sharing data with devices outside the IoT network. In this way, the IoT can automate processes, minimise labour and infrastructure costs, manage supply chains, optimise energy use, and improve sustainability.
Continue reading: https://www.datastorageasean.com/news-press-releases/cloud-ai-iot-drive-it-telecom-sector-growth-vietnam

It is no secret on Women’s Equality day that the tech industry is male-dominated and that there are still large disparities when it comes to gender representation
Women’s Equality Day is a great time to draw attention to this and display how companies can be more accommodating to women moving forward.
“Today it symbolizes the widespread barriers women face (and break down!) on a day-to-day basis – whether large or small,” states Claire Hughes, HR Business Partner at Totalmobile.
Year on year we are slowly creeping closer to becoming a more inclusive industry, but we still have a long way to go.
Gender imbalance and female representation in the workplace
“There are many industries that could still benefit from a greater degree of gender diversity, especially ones which have traditionally been seen as male-dominated, such as science and technology,” explains Hughes. However, to increase this diversity, employers need to take into account practical steps, such as “introducing flexible working hours to aid working parents, involving women in the recruitment process, supporting pay transparency and encouraging female role models and better decision making by having a diverse executive team.”
“In 2021, tech roles held by women increased by a mere 2%,” states Caroline Seymour, VP of Product Marketing at Zerto. “To fix the gender gap issue we need realistic initiatives that can be easily implemented today, such as: creating gender-neutral job descriptions, ensuring women are part of the interviewing team, ensuring that interview rounds include diverse candidates, conducting regular pay equity reviews to attract and retain candidates, offering mentorship and advancement programs, and regularly evaluating hiring and promotion processes to eliminate bias.
“To make change happen we need to implement progressive strategies that result in women being hired into tech roles,” Seymour said. “I encourage women to build strong networks of men and women. We can all help each other and learn from each other. We must also actively mentor young girls and encourage them to pursue STEM studies in higher education. Solving gender disparity in the workplace is not a one-sided solution. Diversity of thought is invaluable to any company and should be something we all work hard to achieve.”
Continue reading: https://www.openaccessgovernment.org/womens-equality-day-how-can-tech-companies-bridge-the-gender-gap/142400/

Getting into the technology and video game industry was always the goal – the industry is one I’m really passionate about, and I’ve always wanted to learn and grow as much as humanly possible. 
For the most part, navigating the STEM industry as a woman has always been a wonderful, positive experience, and that positive feeling was only exacerbated by moving into a more specialized area of the STEM industry, medtech. Contributing to the advancement of the medical world, which has so many incredibly positive outcomes for people all around the world, is a great feeling, especially because I’m doing what I love, in illustration and development. I get to discover and gain new knowledge in various aspects of development, not just art, and I’m always expanding my horizons with the help of my team, who are the most talented and wonderful doctors and developers not just in Australia, but based around the world. 
It’s an unlikely coupling, but doctors and developers make an amazing team and have the potential to make a hugely positive difference in this world. Together, we’re helping to save the lives of millions and when you’re achieving that while doing what you love, you’re never really working a single day in your life. 
The move into medtech 
I’ve been in my role as a 2D & 3D Artist in the medtech industry for almost a year now – it’s not something I set out to do, but when Co-Founders/Co-CEOs Vijay and Nish approached me, it really opened my eyes to new and exciting ways in which I could use my skills. As early adopters of the metaverse, the opportunity was really appealing; I was really excited to do something that contributes to saving the lives of so many people in Australia and around the world, while honing my skills as an artist and developer. 
A stand-out career highlight was attending the ICC Sydney conference – seeing the banners and illustrations that I’d created, now up on our company’s stand, framing the floor on which we’d connect with other people in the industry who are also looking to make a change, was pretty special. I cherished being able to engage with other people who are interested in revolutionary software like ours, getting the product out there and into the hands of healthcare organizations and professionals that will use it to make a change. 
Continue reading: https://womenlovetech.com/breaking-the-mould-in-the-metaverse-how-women-are-changing-the-face-of-medtech/

Deloitte predicts that large global technology organizations, on average, will reach nearly 33% of female representation in their workforces in 2022, up just over two percentage points from 2019
However, women are still vastly underrepresented in IT professional and leadership roles across the globe, with only 12% holding these types of positions.
The benefit of women in technology is clear. According to a study by Boston Consulting Group (BCG), increasing the diversity of leadership teams leads to more and better innovation as well as improved financial performance. But, despite an increased focus from governments and technology companies to encourage more women of secondary school age to take computer science, progress is slow. In the UK, the number of girls choosing to take GCSE computer science fell to 16,549 in 2021. Whereas in France, boys and men are more than twice as likely to graduate high school in STEM subjects than girls and women.
While the main focus has been on influencing girls at a secondary school level, this is arguably too late. Girls start to learn gender bias as young as three or four years, then by the time they get to primary school, they’re already changing their behavior to conform to pressure from gender stereotypes.
Impact of gender bias
Gender bias typically encourages boys to be more adventurous and technical and girls to be more careful and creative. These are often formed as a result of the toys they play with, the books they read and the TV shows they watch, as well as influence from adult role models. Together these influences reinforce gender stereotypes in a subtle and nuanced way, encouraging girls to think that some activities are for boys and some are for girls.
Continue reading: https://technative.io/why-targeting-secondary-schools-is-too-late-to-encourage-more-women-in-tech/

Technology has become an integral of every industry today. Without it, not only can these industries not function properly but their vary existence would be threatened as well.
The pace of change and the scale on which it occurs have never been greater before. Modern technology is not only changing our world, but also changing the individuals who are adapting to these advancements at an exponential rate with each passing year.
Technology has always majorly been a male-dominated industry for centuries. That is the reason why do we still see so few women in positions of power? As per the statistical data , only 25% of technical leadership roles are held by women at tech companies like Google, Microsoft, and Facebook. The outlook may have improved, but there is still much, much progress to be made.
Every individual is experiencing a ‘modern life’ today from computer processing power to increasing exponentially, data storage becoming cheaper & more accessible devices like smartphones store photos or videos everything has been made life super interactive and smart by technology.
The idea that women don’t want to pursue science and technology is a commonly held belief throughout our society. The domestic duties often associated with female can make high demanding roles difficult for someone who must have spent hours every day taking care not just themselves or loved ones – they’re juggling everything from cooking to taking care of children and families and other domestic duties.
Continue reading: https://www.cxotoday.com/cxo-bytes/women-in-tech-for-a-better-tomorrow/

With a track record going back over a decade, cryptocurrencies are clearly more than just a fad, but they remain widely misunderstood by many people, with doubts persisting about their genuine value, practical use and long-term application.
There is also considerable concern with regards to their volatile nature and potential for exploitation. According to data from Scamwatch, Australians lost $158 million to investment scams between January and May of this year, the majority of which related to cryptocurrency ‘investments’. Such revelations have prompted Australian Treasurer Jim Chalmers to recently announce plans to offer greater protection for consumers.
“Australians are experiencing a digital revolution across all sectors of the economy, but regulation is struggling to keep pace and adapt with the crypto asset sector,” Mr Chalmers said in a statement.
The ATO estimates that more than one million taxpayers have “interacted” with the cryptocurrencies since 2018.
In the truest sense, cryptocurrencies are a digital means of exchange which use cryptography as a form of security. However, in recent times, the term ‘cryptocurrency’ has evolved as a stand-in description for, more broadly, 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, and a form of digital payment.
Mainstream investors, as well as Australia’s financial institutions, are also taking more than a passing interest in cryptocurrencies.
The Commonwealth Bank is trialling crypto trading through its banking app, ANZ recently minted $30 million of Australian stablecoins called A$DC, and National Australia Bank (NAB) is also expected to release its own stablecoin (linked to fiat currency, the Australian dollar) by the end of 2022. However, concern over the safety of cryptocurrencies as an investment class remains front and center in the minds of financial regulators around the world. 
Continue reading: https://www.forbes.com/advisor/au/investing/cryptocurrency/what-is-cryptocurrency/

Last year, a British oil exploration company and a tech start-up joined forces on a project to permanently lock away untapped fossil fuel reserves in Greenland.
The idea was simple: the energy company, Greenland Gas and Oil, would not extract oil from an area on the east coast that it had exploration licenses for. Instead it would monetize keeping the oil in the ground via a partnership with the tech company, Carbon base, which works on offsetting carbon emissions.
The mechanics were more complex. The partnership aimed to sell NFTs, digital collectibles that come with ownership certificates, linked to the unexplored land. The profits would then be used in part to compensate the energy company and the oil would stay underground. And, since the Greenland government had stopped issuing new exploration licenses, the energy company would not be able to simply apply for another and tap a different part of the country.
The pitch to buyers was that they could be sure their NFT investment was doing some environmental good. The tokens would also be paired with a new type of “non-production” carbon credit the venture hoped to develop, which owners could use to compensate for their own emissions.
Please use the sharing tools found via the share button at the top or side of articles. Copying articles to share with others is a breach of FT.com T&Cs and Copyright Policy. Email [email protected] to buy additional rights. Subscribers may share up to 10 or 20 articles per month using the gift article service. More information can be found here. https://www.ft.com/content/1f795e5d-c2cf-4e91-89f1-6d5544a8a3db But, after months of discussions, the partnership ran into problems. Carbon base and Greenland Gas and Oil did not agree on how to structure the joint venture. Carbon base also discovered that the country of Greenland had never successfully produced any oil, a fact that they said undermined the whole idea. Pursuing the project “would have destroyed our public reputation” and looked like “greenwashing”, says Max Song, founder of Carbon base.
Continue reading: https://www.ft.com/content/1f795e5d-c2cf-4e91-89f1-6d5544a8a3db

The first website in history was created in 1991. You can still view it online today.
The internet has evolved immeasurably from those early days, and it now has more than 5 billion regular users, roughly 63% of the world’s population.
Some people believe that a new paradigm for the internet is coming, called Web 3.0—also often styled Web3. They claim that a next-generation set of technologies could disrupt society just like Web 1.0 did in the 1990s.
Despite these lofty claims, the concept of Web 3.0 can be both confusing and elusive. Let’s take a closer look at the claims and criticisms of Web 3.0 to understand better what it’s all about.
Web 1.0: The Static Web
The first version of the internet is sometimes called the “static web.” It was made of read-only webpages that, by and large, lacked much in the way of interactive features.
Web 1.0 offered little beyond browsing static pages. Content generation was handled by a select few, and information was hard to find.
Web 2.0: The Dynamic Web
In October 2004, O’Reilly Media and MediaLive hosted the first Web 2.0 conference to highlight a host of new software applications built on the web.
In late 2005, YouTube was launched. The video-sharing site was a big part of the Web 2.0 revolution, which marked the internet’s departure to an era of dynamic content. Users could now interact with web pages, communicate with each other and create content.
For many, the greatest symbol of this era is the emergence of social media networks. Smartphones soon followed, with the first iPhone released in 2007.
Before long, we were all creating, sharing and commenting on content instantaneously from the palms of our hands. If Web 1.0 was the read-only iteration, Web 2.0 could be seen as the read/write upgrade, or what we know as the internet today.
Continue reading: https://www.forbes.com/advisor/investing/cryptocurrency/what-is-web-3-0/

Vulnerability disclosures impacting IoT devices increased by 57% in the first half (1H) of 2022 compared to the previous six months, according to a research by Claroty.
The report also found that over the same time period, vendor self-disclosures increased by 69%, becoming more prolific reporters than independent research outfits for the first time, and fully or partially remediated firmware vulnerabilities increased by 79%, a notable improvement given the relative challenges in patching firmware versus software vulnerabilities.
The report is an examination and analysis of vulnerabilities impacting the Extended Internet of Things (XIoT), a vast network of cyber-physical systems including operational technology and industrial control systems (OT/ICS), Internet of Medical Things (IoMT), building management systems, and enterprise IoT. The data set comprises vulnerabilities discovered by Team82 and from trusted open sources including the National Vulnerability Database (NVD), the Industrial Control Systems Cyber Emergency Response Team (ICS-CERT), CERT@VDE, MITRE, and industrial automation vendors Schneider Electric and Siemens.
Key findings
IoT devices: 15% of vulnerabilities were found in IoT devices, a significant increase from 9% in Team82’s last report covering the second half (2H) of 2021. Additionally, for the first time, the combination of IoT and IoMT vulnerabilities (18.2%) exceeded IT vulnerabilities (16.5%). This indicates enhanced understanding on the part of vendors and researchers to secure these connected devices as they can be a gateway to deeper network penetration.
Vendor self-disclosures: For the first time, vendor self-disclosures (29%) have surpassed independent research outfits (19%) as the second most prolific vulnerability reporters, after third-party security companies (45%). The 214 published CVEs almost doubles the total in Team82’s 2H 2021 report of 127. This indicates that more OT, IoT, and IoMT vendors are establishing vulnerability disclosure programs and dedicating more resources to examining the security and safety of their products than ever before.
Continue reading: https://www.helpnetsecurity.com/2022/08/29/vulnerability-disclosures-iot-devices/

Every nation’s manufacturing industry is one of the most vital economic sectors. Regarding Canada specifically, as per Financial Post, manufacturing accounts for about 10 percent of the country’s GDP. Scalability in a country’s manufacturing industry implies more significant economic growth for the country. The more the manufacturing industry in a government grows, the greater the overall economic prosperity will be.
Stellar technological innovations and the global manufacturing industry have become more scalable.
With the integration of state-of-the-art technologies, the manufacturing sector is growing by leaps and bounds. In addition, we are witnessing a massive digital revolution transforming the world’s ways in unimaginable ways.
While a wide range of technologies is driving transformations in the manufacturing sector, blockchain technologies are disrupting the industry with the most significant momentum. The charm and prowess of blockchain technology do not limit themselves to cryptocurrencies.
Blockchain technologies indeed have the potential to transform major economic sectors completely
Blockchain technologies indeed have the potential to transform major economic sectors, including the manufacturing industry, completely. This explains why many manufacturing businesses are now subscribing to blockchain solutions.
As per Globe Newswire, the global market for blockchain in manufacturing is projected to grow at a whopping CAGR of 66.4 percent between 2022 and 2027. The market for blockchain solutions in manufacturing is anticipated to reach a net worth of USD 17047.8 million by 2027. This indicates that businesses see great scope in blockchain technology to add greater value and efficiency to manufacturing operations.
This blog looks at the most significant advantages of blockchain technologies for the manufacturing industry. In other words, this blog sheds light on how blockchain technologies can revolutionize the manufacturing sector.
Continue reading: https://readwrite.com/ways-blockchain-can-revolutionize-the-manufacturing-industry/

Interoperability enables blockchain networks and protocols to communicate with each other, making it easier for everyday users to engage with blockchain technology.
Every year, we see new blockchain networks being developed to tackle specific niches within certain industries, each blockchain having specialized functions based on its purpose. For example, layer-2 scaling solutions like Polygon are built to have ultra-low transaction fees and fast settlement times.
The increase in the number of new blockchain networks is also a result of the recognition that there is no one perfect solution that will be able to meet all of the needs associated with blockchain technology all at once. Therefore, as more organizations become aware of this rising technology and its capabilities, the interconnection of these unique blockchains is becoming necessary.
What is interoperability?
Blockchain interoperability refers to a wide variety of methods that enable many blockchains to communicate, share digital assets and data and work together more effectively. This makes it possible for one blockchain network to share its economic activity with another. For example, interoperability allows transmitting data and assets across different blockchain networks via decentralized cross-chain bridges. 
Interoperability is not something that most blockchains have because each blockchain is built with different standards and code bases. Since most blockchains are naturally incompatible, all transactions must be done within a single blockchain, no matter how many features the blockchain might have.
Marcel Harmann, founder and CEO of THORWallet DEX — a noncustodial decentralized finance (DeFi) wallet — told Cointelegraph: “Interoperability can be understood as freedom in data exchange. Currently, base layer protocols cannot communicate with each other effectively. Layer-1 protocols like Ethereum or Cosmos have smart contracts built into their fabric, only permitting secure data exchange within their own ecosystems. Digital asset transfers that leave the network pose a question: How can a blockchain trust the state validity of another blockchain?”
Continue reading: https://cointelegraph.com/news/why-interoperability-is-the-key-to-blockchain-technology-s-mass-adoption

The year is 2016. Under close scrutiny by CCTV cameras, 400 contractors are working around the clock in a Russian state-owned facility. Many are experts in American culture, tasked with writing posts and memes on Western social media to influence the upcoming U.S. Presidential election. The multimillion dollar operation would reach 120 million people through Facebook alone.
Six years later, the impact of this Russian info op is still being felt. The techniques it pioneered continue to be used against democracies around the world, as Russia's “troll factory” — the Russian internet Research Agency — continues to fuel online radicalization and extremism. Thanks in no small part to their efforts, our world has become hyper-polar, increasingly divided into parallel realities by cherry-picked facts, falsehoods, and conspiracy theories.
But if making sense of reality seems like a challenge today, it will be all but impossible tomorrow. For the past two years, a quiet revolution has been brewing in AI — and despite some positive consequences, it’s also poised to hand authoritarian regimes unprecedented new ways to spread misinformation across the globe at an almost inconceivable scale.
In 2020, AI researchers created a text generation system called GPT-3. GPT-3 can produce text that’s indistinguishable from human writing — including viral articles, tweets, and other social media posts. GPT-3 was one of the most significant breakthroughs in the history of AI: it offered a simple recipe that AI researchers could follow to radically accelerate AI progress, and build much more capable, humanlike systems.
But it also opened a Pandora’s box of malicious AI applications.
Continue reading: https://www.thestar.com/opinion/contributors/2022/08/29/the-future-of-malicious-artificial-intelligence-applications-is-here.html

During Becknology Days over the weekend, Jim Love, Light Robotics Manager for Beck’s, was showing off his collection of drones and, more importantly, the data and applications that they could glean from them.
“We try to evaluate all things that are drone and help farmers make purchase decisions that make sense. So, for some of our guys, that may be a little $600 drone and others maybe a $20,000 data gathering drone, but we try to evaluate what guys are wanting to do and help them make a buying decision that makes sense for them.”
Drones have advanced well past just data gathering in recent years. Drone sprayers have progressed much faster than many anticipated. While some farmers believe drones are the future, Love believes the future is now with drones.
“These field days are just at the right time when guys have either paid their spray bill or they’ve been frustrated about waiting on a spray plane. So, it’s always a very hot topic this time of year with spray drones because of all the fungicide applications due to the success of fungicides as well as the high commodity prices, guys are putting a lot of fungicide on which is really straining the conventional aerial application group. And so, spray drones have really taken off.”
Love admits that’s a bad pun, but it doesn’t change the fact that, “it’s turning out to be a good alternative to a $1 million high clearance ground machine or waiting on an aerial applicator to try to get to you.”
Love says drones have helped Beck’s provide many benefits to their customers, including increasing the level of their customer service when farmers are having issues in their fields.
“It helps our customers help us help them, which is kind of a goofy word salad there, but if a customer can fly a field and get that aerial view, a lot of times he’s not the only guy with that problem. So, if he can send that photograph that he took with his drone to one of our agronomists, oftentimes our agronomists have seen that problem, especially in a locale, you can say, ‘Hey, I think it’s this,’ and it helps them get to the answer faster.”
Continue reading: https://hoosieragtoday.com/spray-drones-have-taken-off-much-faster-than-anticipated/

Over the last few years, the transportation sector has grown exponentially. The growth is mainly fueled by web and software applications, revolutionizing how it works. Despite the application of these innovations, transportation is still not perfect. You can still hear cases of accidents and other issues in the trucking industry that affect its efficiency. For this reason, there was a need to introduce a more effective innovation to handle unpredictable instances accurately. Enter artificial intelligence (AI).
Integration of AI into the moving parts of the industry has grown over the past decade. The utilization of AI in the trucking industry plays a huge role in improving its effectiveness, ensuring timely delivery, and customer satisfaction. However, implementing AI into the trucking sector is not easy, especially when you don’t have the necessary skills and know-how. For this reason, it’s imperative to conduct extensive research to develop a deeper insight into this ever-growing innovation.
The following is a quick rundown of what you need to know about AI for fleet management.
It discusses what AI is, how it can impact the trucking industry, and more. Read on.
What You Need To Know About Artificial Intelligence
Artificial intelligence (AI) is the ability of machines and computer systems to perform and complete tasks that humans usually do. Apart from performing these tasks, the AI systems are capable of adapting, evolving, and learning from their surroundings, similar to humans. Hence, it’ll be easier to make strategic decisions, improving the flow of a production line.
What’s The Impact Of AI In The Trucking Industry?
The following are the ways AI might impact the trucking industry. They include:
Continue reading: https://iotbusinessnews.com/2022/08/26/70310-how-ai-impacts-the-trucking-industry/

Pay transparency legislation continues to sweep the United States.
In November, a new law will go into effect in which New York City-based employers will have to include the minimum and maximum starting salary for any advertised job, promotion or transfer opportunity. (The in-effect date has been delayed from April.) Similar laws went into effect last year in Connecticut, Nevada and Colorado.
The latter is what we’re discussing here because Colorado’s Division of Labor Standards and Statistics (DLSS) has introduced an unheard-of twist with its accompanying regulatory guidance to the Equal Pay for Equal Work Act.
These new rules require employers to list compensation, benefits and other financials within job posts and ads not only for Colorado-specific companies or positions, but also to all multi-state employers posting remote work roles that could be filled by a Coloradoan if the employer already has an employee in Colorado.
Read more: Beware the legal challenges of ‘work from anywhere’ policies
“If you have 10,000 employees and one works in Denver, then the rule applies to you,” Joe Schmitt, a labor and employment attorney at Minneapolis-based law firm Nilan Johnson Lewis, told HRD. “Furthermore, the Colorado department has said you can’t in your posting say, ‘individuals from Colorado can’t apply.’ Colorado has said that’s a preference for where the person is from. The position is still covered because it could be performed in Colorado. The fact that you’re trying to exclude Colorado doesn’t mean it’s not covered.”
As employees demand flexibility and autonomy, companies are having no choice but to grant fully remote or at least hybrid work schedules. More than one-third (35%) of workers believe location flexibility to be the primary deciding factor to accept their last job offer, above those who said that total compensation was the defining factor, according to recent data from Gusto, a San Francisco-based HR tech firm.
Additionally, nearly half of workers (48%) said that the ability to work from home some or all of the time would be a major or the most important factor in determining whether to accept a job offer in the future. Gusto data shows that being a fully remote worker correlates to a 9%-13% decrease in the odds of quitting within three months of hire, meaning less expenditures for the business in attracting, onboarding and retaining new talent.
With many employers now permitting employees to “work from anywhere,” companies are facing a bevy of new legal challenges and complexities due to tax and immigration laws, as well as hiring regulations. Schmitt says it’s prudent for employers to comply with the Colorado statute by posting the pay range and general benefits for remote positions. If not, employers risk being fined between $500 and $10,000 for each violation.
“This provides more reason for employers to get in front of pay equity,” Schmitt says. “The whole purpose behind this is so more employees will know that there is pay inequity and they’ll be more likely to bring charges of discrimination with the Equal Employment Opportunity Commission (EEOC) or state agency or to call a lawyer to commence a claim. The best way to get ahead is to proactively do a pay equity audit and address any things causing pay disparity. Identify and remediate any root causes of pay inequity.”
Continue reading: https://www.hcamag.com/us/specialization/employment-law/if-youre-hiring-for-remote-jobs-you-have-to-follow-this-colorado-law/418428

More than two months since the end of the financial year Australian women have just caught up to men when it comes to their annual pay. 
Businesses are being encouraged to step up and address inequalities ahead of changes to laws which will make employer-level gender pay gaps public.
Known as equal pay day, Monday marks the 60 extra days women need to work, on average, to earn the equivalent salary to men.
Prime Minister Anthony Albanese confirmed the government would change fair work laws to include gender pay equity requirements by the end of the year.
The changes are expected to ensure gender pay gap transparency and encourage equity reform within organisations.
The Australian Bureau of Statistics last week released data showing the gender pay gap – the difference in full-time earnings between men and women – had grown to 14.1 per cent, up 1.9 per cent from the previous year.
On average, women working full-time earned $1609 a week while men earned $1872.90 in the last financial year. 
Mr Albanese said a metric of his government’s success on gender equality would be if the wages gap was reduced. 
“A success would be a closing of the gap rather than expanding, the recent figures were going the wrong way (and) we want it to go the right way,” Mr Albanese told the National Press Club on Monday. 
To mark equal pay day, the Workplace Gender Equality Agency has renewed calls for employers to take action to address the gap. 
Suggestions for employers include conducting a pay gap audit, setting targets to promote gender equality at all levels of an organisation, normalising flexible work and introducing a robust gender neutral paid parental leave policy. 
Employers are already reaping the benefits from incorporating gender equality policies in their businesses, reporting employee recruitment and retention, productivity and company profits, agency director Mary Wooldridge said.
“While the gender pay gap persists, women’s skills, capabilities and potential are not being fully realised or valued,” she said.
Continue reading: https://www.aap.com.au/news/equal-pay-day-chance-to-address-the-gap/

Artificial intelligence is all about making intelligent machines that can carry out cognitive activities. Once those machines have access to enough data to recognize patterns and trends, their capacity to think like humans will continue to advance. Moreover, artificial intelligence, data, and analytics play a significant role in digital marketing.
As a result, any online endeavor must be able to extract the proper insights from data to succeed. Therefore, it makes sense to assume that AI will be essential to digital marketing. This is especially true given the enormous growth in data and its sources that digital marketers need to learn more about.
Experts expect the volume of data gathered across these newer customer touchpoints to become unmanageably large. This will happen in the coming years as businesses continue to add more. As a result, artificial intelligence (AI) is now more critical than ever for digital marketing. The following are a few reasons AI tools and technology can access enormous amounts of inaccessible data. AI can then transform that data into useful insights that influence immediate decisions.
AI-Driven Content Marketing
Content-based marketing has become the standard advertising method across a wide range of various industries. This is thanks to the growth of social media marketing and consumers’ growing desire for online content.
Here, artificial intelligence can aid your marketing efforts interest by assisting you in determining the kinds of content that interest your current and potential clients. It can also choose the most effective ways to reach them.
Continue reading: https://readwrite.com/artificial-intelligence-digital-marketing/

Artificial intelligence (AI) can be a powerful tool for businesses.
It can help you automate repetitive tasks, speed up decision-making processes, and improve customer service.
Artificial intelligence (AI) is improving because researchers are finding new ways to make machines smarter and more efficient.
One recent example is Google DeepMind’s AlphaGo, which defeated a world champion Go player in 2016.
This was seen as a major breakthrough for AI, as Go is considered to be a very complex game.
Other examples of AI improvements include better speech recognition, image recognition, and machine learning algorithms.
As AI continues to improve, it will become increasingly useful for tasks such as decision-making, problem-solving, and planning.
Artificial Intelligence has been used recently to create new business applications that are supporting them in different operations in areas such as customer service, marketing, finance, business analysis and more.
Following up, here are five advantages of AI for businesses:

1. Automation of Repetitive Tasks
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   AI can help with repetitive tasks by automating them.
   This can free up time for people to do other things, and it can also improve accuracy and efficiency.
   One use that has been given recently is to transcribe the audio content from meetings, videos and interviews.
   Companies are using the best video transcription software to speed up the transcription process and reduce the amount of time that it would usually consume for a person to be listening back and forward until they finish the full audio.
   From CEO assistants to the marketing team, they are obtaining great advantage of automating the transcription process.
   Continue reading: https://globeecho.com/business/5-advantages-of-artificial-intelligence-for-business/