AI is the future and lawmakers are catching up.
Last month, members of the tech community gathered at the Dublin offices of EY, the professional services firm, for the launch of AI Labs, its new facility.
Artificial intelligence (AI) research labs aren’t new in the private sector with a number of companies racing to be the ones that pioneer the tech on a mass scale for their clients across various sectors.
But EY’s latest venture is launching at a time when AI is at a crossroads as a slate of new regulations take shape at the European level as well as in the US.
Speaking to Connected, EY’s global artificial intelligence leader Dan Diasio said that this is the new backdrop for all companies working with AI.
For years, companies have been running AI pilots on different use cases and throwing things at the wall to see what would stick. Now the conversation has become more thoughtful as companies seek to address specific goals with AI while threats around data security and risks like discrimination loom.
“Our business is so predicated on trust so we’re not waiting for the regulations to come to reshape our business. We are actively reshaping our business in advance of those regulations,” Diasio said.
“We as a firm have created a set of AI principles that we are going to use to govern and shape how we do AI both internally at EY and how we do AI for our clients. Those are rooted in the projected expectations of regulation in the future.”
EY has the deep pockets to reinforce its business for the future and the resources to prepare its clients for that future. With new rulebooks for AI afoot, it is an attitude that start-ups will need to adopt too.
Continue reading: https://www.businesspost.ie/connected/regulating-artificial-intelligence/

Technology being developed in a nondescript office building in Reston could change how Army soldiers train for and operate in combat thousands of miles away.
The Army’s Integrated Visual Augmentation System (IVAS) runs on a pair of Microsoft goggles and links to a micronized drone that flies autonomously and collects video analyzed in real time by artificial intelligence algorithms trained to identify threats, like an enemy combatant with an assault rifle coming around a corner, or a vehicle of interest. Detections are sent to a heads-up display within the goggles and are shared across a squad.
“It can all be done at the tactical edge out on the battlefield, using new-edge computing technologies, which basically puts the power of a supercomputer in the soldiers’ hands,” says Rob Albritton, a vice president at Reston-based Octo who heads up the AI Center of Excellence at the federal contractor’s oLabs tech accelerator. Octo has been working on developing AI technology for IVAS since 2020 and is currently working with about 20 government agencies on a variety of other AI projects.
In 2011, IBM’s Watson supercomputer wowed the world, demonstrating the power of artificial intelligence by beating “Jeopardy!” champ Ken Jennings, who still holds the television quiz show’s record for the longest streak of victories. Bowing to defeat, in his response to the match’s final question, Jennings added a “Simpsons”-inspired quip: “I for one welcome our new computer overlords.”
While that sort of doomsday scenario hasn’t occurred, artificial intelligence has matured into a routine — and often unseen — part of our daily lives, moving in recent years from the realm of science fiction to the mundane. From mapping apps on smartphones to technology that helps secure the United States’ borders, AI is performing everything from rote business tasks like scanning health records to helping the Navy search for underwater mines from unmanned surface ships.
Continue reading: https://www.virginiabusiness.com/article/artificial-intelligence-gets-real/

Science fiction depicted artificial intelligence (AI) as robots that mimic how humans think and act. Some even portrayed AI as violent machines that aimed to destroy the world. However, as time and technology progressed, the world got a clearer view of how AI works. Fortunately, they’re not as horrifying as portrayed in popular sci-fi movies.
AI has become more common than many think. It’s present in almost every gadget, program, and online platform, serving various purposes for every individual and business. Additionally, studies estimate that by 2028, the global AI market could surpass 107.5 billion US dollars.
Keep reading below to learn more about artificial intelligence and the role it plays, particularly in digital marketing.
What is Artificial Intelligence?
AI refers to machines or systems designed to simulate human intelligence and act to achieve their programmed goals. Generally, AI analyzes data and looks for patterns to make predictions and decisions without human intervention. That means AI-based technology is more independent and does complex or repetitive tasks.  AI is integrated into everything, even in password management tools such as magic link.
Today, there are six major branches of artificial intelligence. These are:
Continue reading: https://startup.info/the-role-of-artificial-intelligence-in-your-digital-marketing-strategy/

Shrimp is the most widely eaten seafood in the United States. The global aquaculture market was valued at $204 billion in 2020 and is expected to reach $262 billion by the end of 2026. Shrimp sales volume increased from 275 to 415 million pounds in the past five years, but traditional shrimp farming has an environmental cost.
Daniel Russek, CEO and founder of Atarraya wild shrimping, destroys two million kilometers of seabed each year. “Traditional shrimp farms rely on continuous water waste and mangrove deforestation. Creating a sustainable shrimp supply requires little or no dependencies on the ocean or natural habitats and no antibiotics or chemicals.”
But today, Russek says the industry has microbial systems that enable closed-looped production using only organic components. “It is doable, but its management is very complex, and artificial intelligence (AI) is very good at doing this at scale,” said Russek.
Shrimpbox is shrimp farming technology using AI. Russek says to think of Shrimpbox as the aquaculture equivalent to agriculture’s vertical farming. “Urban aquaculture shrimp vertical farming technology offers fresh, locally produced protein for immediate consumption.”
The vertical shrimp farms are housed in traditional cargo containers located anywhere, even in landlocked, urban areas. A Shrimpbox farm can be moved or scaled up according to production needs.
Continue reading: https://www.forbes.com/sites/jenniferhicks/2022/10/28/heres-how-this-company-uses-ai-to-grow-shrimp-sustainably/?sh=1a38a28c78fc

With the advent of the ability of artificial intelligence ("AI") to alter an individual's voice and image (whether in deepfakes or expressly fictional works), it is critical to determine who – if anyone – owns the right to do so, particularly when the voice or image is clearly identified with a fictional character from an existing film. This issue is highlighted by the recent license by James Earl Jones (the voice of Darth Vader) of his voice to an AI company. While articles state that the license of his voice was for use by Disney (the owner of the Star Wars franchise), the transaction raises the following questions: (a) could anyone use his voice without permission and (b) could James Earl Jones have licensed his voice to third parties for use in other films, particularly if used in the distinctive manner of Darth Vader?
This article will refer to the individual whose voice or image is at issue as the "Individual," the licensee of AI rights as the "AI Licensee," the new AI work incorporating the voice or image as the "AI Work," and any prior work that the voice or image is taken from, or resembles elements of, as the "Prior Work."
The right to a voice or image can generally be divided into two categories: (a) the right of publicity (under various guises, including right of privacy, trademark, deepfake laws, or unfair competition) and (b) copyright, to the extent voice or image for the AI Work is taken from, or resembles elements of, a Prior Work.
Let's first deal with the right of publicity. For simplicity, this article does not discuss whether or not a particular court has the authority to hear a case (jurisdiction over the defendant), but just the choice of law that a court that does have such jurisdiction will apply. Critically, the majority of courts in the U.S. apply the law of the domicile of the Individual (or their domicile at the time of death), by treating the right of publicity as personal property (the "Domicile Rule"). For example, if the Individual is (or was at the time of death) domiciled in a jurisdiction that does not recognize the right of publicity, then anyone can exploit an AI Work using their voice or image in a jurisdiction that follows the Domicile Rule. However, some courts in the U.S. (and most courts outside the U.S.) apply the law of the jurisdiction where the AI Work is exploited (the "Exploitation Rule"), such as by targeting customers in the jurisdiction, while a passive website that is merely open to the public without pay will not trigger the laws of that jurisdiction. In either case, the location of the domicile or headquarters of the AI Licensee is irrelevant.
Continue reading: https://www.forbes.com/sites/schuylermoore/2022/10/28/who-owns-voice-and-image-artificial-intelligence-rights/?sh=5061f8e821fc

Our dependency on AI-based outputs seems to grow every day, both from a business as well as personal perspective. But are we willing to fully trust this output? Are we sure the data fed into these systems is accurate? Are the decision models and algorithms kept up to date? Is it free of bias? Are humans kept in the loop?
The answers to these questions are all still up in the air, according to a recent survey of 7,502 business around the world, commissioned by IBM in partnership with Morning Consult.
AI usage just keeps growing. Right now, 35% of companies use AI in their business — up from 31% a year ago. An additional 42% are exploring AI. There are benefits — such as cost savings and efficiencies (54%), improvements in IT or network performance (53%), and better experiences for customers (48%).
Trust is a priority, but many organizations haven’t taken enough steps to ensure AI is trustworthy, the survey also shows. Eighty-five percent of respondents agree that consumers are more likely to choose a company that’s transparent about how its AI models are built, managed and used. In addition, 84% say that “being able to explain how their AI arrives at different decisions is important to their business.”
Continue reading: https://www.forbes.com/sites/joemckendrick/2022/10/29/trust-artificial-intelligence-still-a-work-in-progress-survey-shows/?sh=2b00f290708b

In recent years, cafes, supermarkets and online shops have started to trial drone delivery in a handful of locations around the world. More than a dozen drone delivery companies are now running such trials.
Just this week, Wing (owned by Google’s parent company Alphabet) announced a partnership with Australian supermarket giant Coles to deliver small items via drone to customers close to a Gold Coast supermarket. Wing is already operating in parts of Canberra and Logan, Queensland.
Given the technical success of various trials so far, it is worth exploring whether drone delivery might become mainstream and can actually be scaled up geographically.
As you would expect, the answer is “it depends”. There are many issues when considering drones around people, such as safety and infrastructure. For example, a recent crash of a delivery drone on electricity lines in a suburb of Logan left thousands without power.
There is also potential unwanted noise and visual pollution, and a perceived issue around privacy.
Safety first
Adding potentially dozens of small aircraft to the sky above our homes, workplaces and roads each day is a serious business. As you would hope, currently the operation of commercial drones is a highly regulated undertaking in most countries.
In Australia, the Civil Aviation Safety Authority has strict regulations that aim to make the operation of drones as safe as possible. They also prohibit drone use if the craft can’t be used safely in a given situation.
In fact, Australia was one of the first countries to have drone regulations. For example, you cannot fly a drone close to an airport, or directly over people.
Commercial operators of drones are acutely aware of this and gain a license to operate – it is not in anyone’s interest to operate unsafely, and it would be bad for business.
A limited geographic market – for now
To satisfy the requirement of operating drones safely, delivery operators focus on flying drones over unpopulated land, generally very low-density areas, and in particular the urban fringe. These are newer suburbs where drone flight paths can be planned to eliminate or minimize safety issues, such as an unexpected crash.
It is no coincidence Wing has been running drone delivery trials in low-density areas of Southeast Queensland, and outer Canberra suburbs. These places are ideal for drone delivery and a great place to continue to develop this business, even if the odd bird attack can disrupt things.
But drone delivery in dense parts of major cities? This is very unlikely in the medium term, due to extreme difficulty in safely operating drones in dense suburbs.
If you live in an apartment building, where would the delivery take place? On the roof? Maybe, if your building was set up for it. This is where scaling up faces the largest difficulties, and the logistics of running potentially hundreds of drones from a distribution centre become truly challenging.
However, if there was a high demand for it, and the right investments were made, it is feasible that drone delivery to dense city areas could be achieved.
Continue reading: https://japantoday.com/category/features/opinions/drone-delivery-is-a-thing-now.-but-how-feasible-is-having-it-everywhere-and-would-we-even-want-it

Organisations across industries embarked on technology adoption to overcome the challenges from the disruptions and the economic impact that followed during the road to recovery. Embracing digital business transformation has brought drastic shifts in how organisations operate, redefining roles and enabling employees to leverage the advantages of hybrid working and digital solutions.
Adopting hyper-automation technologies allows organisations to maintain a hybrid workforce of humans and software robots, working together to achieve business objectives. Besides error-proofing functions, limiting resource wastage, improving accuracy, enabling real-time data for decision-making, and resource optimisation, digital transformation journeys improve resilience and business continuity.
Business users are shifting from a pure technology play to a business and technology play, meaning their total dependency on information technology should reduce or disappear.
Artificial intelligence (AI) and low-code solutions seamlessly enable flexibility for business users, transforming roles and making a difference in how people work.
As organisations integrate AI and hyper-automation technologies to strengthen their operations, the significant impacts on future roles are given below:
1. WORKFORCE FLEXIBILITY
Organisations face the dilemma of meeting operational requirements during peak seasons or challenging scenarios requiring additional workforce on short notice. Ensuring job stability is vital for nurturing a sustainable work culture, job satisfaction, productivity, and organizational resilience.
Continue reading: https://www.indiatoday.in/education-today/featurephilia/story/with-artificial-intelligence-and-hyper-automation-the-future-of-work-is-changing-heres-how-2291493-2022-10-31

How do you see the growth of artificial intelligence in the Middle East? The Middle East region has always delivered on ambitious visions. This region has realised that artificial intelligence (AI) will be ubiquitous in every part of life in the next five to 10 years, will bring huge cost savings and/or efficiency gains and the governments are looking at harnessing the power of AI as quickly as possible.
What are the new trends that you have seen? We have seen the following trends:
Upskilling Industry wide upskilling programmes to have the basic mathematical skills of data science to understand AI. Government wide programmes are rolled out to make sure every civil servant understands what AI is, the potential and the limitations of the technology.
Developing innovation The innovation ecosystem has grown massively in the last five years with the development of innovation hubs everywhere. To support the growth of this ecosystem Abu Dhabi Global Market, Dubai International Financial Centre have eased the process of doing business for startups and have attracted many venture capitals funds. The region is attracting talents externally as well as developing their internal capabilities through education and various innovation programmes.

Valerie Hawley, affiliate founding partner, True Global Ventures
Enhancing regulations There is a large effort to understand and regulate the nascent technologies and the regulator in Abu Dhabi and in Dubai are already working closely with the tech and innovation eco system. They have set up sandboxes to support and observe the development of startups. VARA, the Virtual Assets Regulatory Authority is a good example with about 50 Web3 companies in their sandbox.
Continue reading: https://gulfbusiness.com/the-role-of-ai-and-blockchain-in-web3/

Business leaders today recognize that agility and adaptability are essential to long-term success. To achieve that agility, companies must overcome organizational inertia, constantly looking for ways to reshape behaviors in order to promote a learning mindset. Strategies to implement change include process redesign initiatives, technology innovation centers and design thinking workshops that embrace psychological safety.
While these measures can have an impact, they're often limited by the experiences of those involved. In other words, the perspectives of the people being asked to drive change have been shaped within the confines of the rigid and inefficient modes of operation that need changing.
True transformation requires the infusion of fundamentally new perspectives and backgrounds. That’s why initiatives that bolster diversity, equity and inclusion (DEI) can foster a sense of belonging within a workforce, as well as facilitate organizational agility and serve as powerful drivers of business growth and transformation.
Starting At The Top
We tend to think of diversity and inclusion primarily in terms of race and gender. And the lack of such diversity in business is striking and well-documented.
Continue reading: https://www.forbes.com/sites/forbesbusinessdevelopmentcouncil/2022/10/31/how-diversity-and-inclusion-drive-business-transformation/?sh=3f6d98586561

Data is a goldmine, so proper database management is essential to not only secure your private information but to also get the most out of it. If you knew when cybercriminals would strike your system, you would most likely be able to counter their attack. But unfortunately, cyberattacks often occur when you least expect them to.
It’s in your best interest to prioritize the security of your database. But how can you easily do this? How can you run a secure database?
1. Cultivate a Top-Down Cybersecurity Culture
As a network owner or administrator, you should take the necessary precautions to not compromise or expose your data to cyber threats. Doing that would be sufficient if you were the only one accessing your network.
But does any other person have access to your system? If the answer is yes, you must cultivate a cybersecurity culture that they need to abide by. Now isn’t the time to classify users based on their roles and status: ensure that everyone who accesses your network upholds the mechanisms that you have on the ground to secure your system. Basically, make sure everyone knows what's expected of them and what security systems are in place to keep your database safe.
2. Identify Database Security Risks
A database security system can only be effective when you understand what you are up against. Users often make the mistake of implementing a generic cybersecurity strategy without identifying the specific risks on the ground. As a result of this, existing loopholes go unnoticed in the process due to the ambiguity of such a generic approach.
Identifying your database management risks helps you develop a strong defense plan that addresses all blind spots.
Continue reading: https://www.makeuseof.com/adopt-security-first-approach-database-management/

In the D.C. area, it’s easy to find out how much the president makes, but do you know how much your co-worker takes home every payday?
Trying to figure out whether your salary is on par with your peers requires a delicate balance between transparency and privacy. For some workers, it’s hard to ask the question, “How much do you make?” and even harder to answer it.
“We’re not very good in our society about having conversations about money and personal finances. It’s something that’s taboo in many households,” said Mark Hamrick, Washington bureau chief for the financial services company Bankrate.
“America is a very individualistic culture,” said JR Keller, a professor of human resource studies at Cornell University. “People tend to focus on what they’re getting and what they’re making, and less [about] how that fits into a broader picture of everybody else.”
People don’t always want to talk about it, but they listen when other people do. Hannah Williams, 25, of Alexandria, Virginia, a data analyst for a government contractor, started asking people on the street last year how much they made and what they did for a living. She posted what she did on TikTok and soon launched the Salary Transparent Street series. Since last April, it has racked up more than 850,000 followers.
Continue reading: https://wtop.com/business-finance/2022/10/how-to-and-why-have-the-awkward-conversation-about-pay-transparency/

A few years ago, pre-Covid-19, there appeared to be an arms race beginning around smart cities. They had to be smarter and seemingly ever more ‘glossy’, driven by a need for sensors and data.
Then, as climate change became more evident, cities had to be sustainable, and of course, post-pandemic, more resilient. Now, in the wake of the fallout from the Ukraine-Russia conflict, they also need to be secure. So: smart, sustainable, resilient, and secure.
That message on smart city security coincides with a recent presentation from Lindy Cameron, the chief executive of The National Cyber Security Center, at Singapore International Cyber Week.
Connected technologies and smart cities
Cameron discussed the role of the Internet of Things (IoT) in creating a world that benefits from connected technologies, yet at the same time protects ‘connected places’—in other words; smart cities, safe from cyber threats.
She argued that the IoT is all about automation, connectivity, and efficiency, using them to improve our lives, boost our economies, and free our time to be more productive. That is a huge opportunity. It is also now a reality, and connected devices, from smart homes to smart cities, are now part of our everyday lives. Faced with this brand new world of technology, very few of us will willingly want to turn back the clock (beyond an hour at the appropriate weekend of the year!).
Cameron pointed out that both consumer and enterprise IoT has exploded over the last decade. There were 8.4 billion consumer devices connected to the internet in 2017 and it is estimated there will be 75 billion by 2025.
Continue reading: https://www.verdict.co.uk/smart-cities-arms-race/

Web 3 is speculated to be the new Internet and we have an article already covering the subject matter. All we know it is still a nascent technology with a lot of attention even from the world’s richest. Let’s get into the Web 3.0 jargon in this article and try to understand what exactly is happening behind building the world’s new web of decentralization and mostly used words and their meanings.
When I was still new to the web 3 community, I would hear or come across a new word or term almost every other day until I decided to embrace it and become a lifelong learner. If you are also new to this space, I would recommend you to learn as much as you can sometimes things may not make sense at first but trust me they will. Learn Blockchain basics from another article we wrote here.
So here are the 20 Web 3.0 terms and jargon you should learn today and in no particular order: We have looked at some of the terms in our previous posts in case you don’t see some here like DAO, NFTs, SBTs, etc.
🔹 51% Attack
If more than half the computer power or mining hash rate on a network is run by a single person or a single group of people, then a 51% attack is in operation.
🔹 Block Size
In blockchain technology, block size refers to the amount of data about transactions a single block in the chain can carry. Basically, a 51% attack happens when a malicious user in a network acquires control of a given blockchain’s mining capabilities.
🔹 GM
The acronym “GM” typically stands for “Good Morning.” GM Wagmi is a project that takes inspiration from this greeting, having created a whole new token to spread positivity and make the crypto space a better place.
Continue reading: https://www.dignited.com/102104/here-are-20-web-3-terms-you-should-learn-today/

While challenges remain in incorporating the wide use of drone technology, RSS-Hydro is leading several innovative projects for the use of drones in water-based risk applications.
Many remote sensing technologies are present in both industry and academia – ranging from ground-based sensors to airborne and space-based platforms – measuring a very large amount of important environmental parameters for sustaining ecosystem services, environmental management, transportation, and weather, just to name some of the major fields of application.
Market opportunities of drones
One of the leading sectors where remote sensing, particularly ground-based and airborne, has seen major advances in the last few decades is agriculture. More recently, it has become one of the leading application sectors in the drone market. Drone technology was introduced into the sector more than two decades ago.1 Nowadays, the second and sixth biggest addressable markets for drone-based solutions are, respectively, agriculture (for crop monitoring), with an estimated potential value of $32.4bn, and the insurance industry (for risk monitoring and assessment), with an addressable market value of $6.8bn.2
Another application sector for drone-based solutions is emergency management, especially in the case of natural disasters such as floods. On the one hand, drones can be useful before a flood occurs by collecting lots of data on important infrastructure, and for supporting flood risk assessment efforts. On the other hand, drones can be useful after a flood occurs, for flood extent and damage assessment.3
Industry challenges
It is clear that drones are extremely useful and have great market growth potential; however, the use of drone technology comes with several challenges. These challenges are mainly faced in Europe, where the new regulations limit the use of drones, especially for drones that remain uncertified. The objective is to create a controlled environment and to increase safety while drones start to be used in a wide range of sectors due to a ‘thriving market’.4 As a consequence, flying drones, be it as an individual for private use or in a commercial setting, requires a range of precautionary measures in order to comply with regulations. Unfortunately, this can turn out to be much more complex than expected in some cases, particularly when looking at risk assessments or the specific category.
Therefore, national drone federations exist in many European countries and elsewhere, which aim to support companies during these procedures. The newest addition to this international federation network, is the Luxembourg Drone Federation (LDF), of which RSS-Hydro is a founding member. A major commitment of LDF is to help members develop a simplified flight authorisation procedure for operators. Therefore, LDF also acts as an intermediary between companies and the Luxembourg Department of Civil Aviation (DAC), by authorising flights in order to facilitate exchange and compliance. LDF also collaborates with the administrations of bordering countries.
Continue reading: https://www.innovationnewsnetwork.com/drone-technology-water-risk-applications/26780/

The much-anticipated PM Kisan Samman Sammelan held in October brought together over 13,500 farmers, 1,500 agri start-ups, other stakeholders.
At the conference, Prime Minister Narendra Modi highlighted initiatives like Kisan Rail, DBT transfers, Soil Health Cards, e-NAM, and neem coating of urea, that have adopted, integrated and scale-up technology in agriculture. Another such revolutionary technology to add to farmers’ prosperity and dignity, is drones.
World Economic Forum (WEF) in its latest report stated that drones have the potential to be the harbinger of “technology-led transformation” of Indian agriculture.
In India’s $600 billion agriculture sector, they are currently used for pesticide and nutrient application, mapping water spread area, sampling water, mapping macrophyte infestation etc. As per WEF, drone usage could reduce cost of application by 20 per cent and also mitigate health hazards of manual work, thereby promoting precision agriculture.
Drones enable data collection and resource efficient nutrient application. This data facilitates crop production forecast, and evidence-based planning. The government can announce relief packages for farmers in time, leading to better sowing, irrigation and harvesting cycles. With drones, government initiatives like Per Drop More Crop will improve and water use inefficiency in irrigation will decline.
Streamlining schemes
Second, drones’ data integrated with GIS and Google Earth satellite images will eventually streamline schemes like PMFBY by aiding crop cutting experiments, crop-loss estimation, insurance determination and dispute resolution.
Third, with drones, agri-research will become “highly customised and localised”. Finally, drones can capture backward and forward linkages. With objective and standardised data on crop quality, food processing industries will procure from farmers at better prices. Agri-exports will also increase with technology-supporting compliance with global standards.
The need is to scale up drone use in agriculture sector from the present 10,000 aerial vehicles. Civil military engagement should be promoted to realise gains from cross-industry application of drones.
Consultations may be held with experienced strategic partners like Israel where AI-enabled drones are used for mapping plots, assessing crop damage, and even plucking only ripe apples.
Continue reading: https://www.thehindubusinessline.com/opinion/drones-giving-farmers-the-wings-to-fly/article66074624.ece

According to Markets & Markets Research, the global cyber security market is predicted to develop at an 8.9% CAGR from 2022 to 2027, from an estimated value of USD 173.5 billion in 2022 to 266.2 billion USD by 2027. The expanding e-commerce platforms and the advent of emerging technologies such as the internet of things (IoT), artificial intelligence (AI), cloud security, and others are driving the cybersecurity market.
India presents a profitable potential due to its expanding economy, sizable business population, and quick digitization. Organizations must place a strong emphasis on making sure they don’t fall victim to hostile attempts and preserve their sensitive data considering the hybrid working models and growing cyber threats.
Edge-to-Cloud Security Articulates the Vision As the cyber threats and data breaches rise, given the massive digitization, the modern-day needs demand that enterprises adopt a more advanced approach that can provide full visibility, control, and enforcement.
Zero Trust security architecture is truly a comprehensive strategy for network security as it means that no one is trusted by default from inside or outside the network, and verification is required from everyone trying to gain access to resources on the network, adding a layer of security to prevent data breaches. Every person and device attempting to access resources on a private network, regardless of their role within or outside the business, is subjected to stringent identification verification.
Gartner highlights that organizations that will adopt cybersecurity mesh architecture that will reduce the financial implications of the threats by an average of 90%. Spending on information security and risk management products and services, as a result, is forecasted to grow 11.3% to reach more than $188.3 billion in 2023.
Three factors influencing growth in security spending are the increase in remote and hybrid work, the transition from virtual private networks (VPNs) to zero trust network access (ZTNA), and the shift to cloud-based delivery models, thus cloud security has emerged as the category forecast to have the strongest growth over the next two years.
SASE vs Data Center-Based Network Security Model Identity-based Zero Trust network access: SASE mainly relies on a zero-trust security architecture, which can prevent users from accessing apps and data until their identities have been confirmed, by multiple filters, while setting access policies.
Blocking attacks against network infrastructure: Internal resources are potentially shielded from external attacks (such as DDoS attacks and vulnerability exploits) via the firewall and CASB components of SASE. Nasty malware-based attacks, data exfiltration, and other threats to the data of the company are significantly protected too.
Streamlined implementation and management: With SASE, single-point security solutions are combined into a single cloud-based service, allowing businesses to work with fewer vendors and devote less time, money, and internal resources to establishing physical infrastructure. With such a privilege, organizations should set, adjust, and enforce access policies across all locations, users, devices, and applications from a single portal.
Zero-Trust Is the Modern-Day Security Principle  Continuous monitoring and validation: No users or machines are implicitly trusted since the theory underlying a zero-trust network anticipates that there are attackers both inside and outside of the network. Even after multi-factor authentication (MFA), logins and connections regularly time out, necessitating constant re-verification of individuals and devices.
Least privilege: Least-privilege access is another zero-trust security tenet. This entails granting users only the level of access they require, much like an army commander would do when providing soldiers with information, greatly minimizing each user’s exposure to sensitive parts of the network.
 
Continue reading : https://www.expresscomputer.in/news/role-of-edge-to-cloud-security-against-cyberthreats-in-enterprises/91321/

Increased speed and reduced latency are the top reasons that make the combination of 5G and edge computing a big hit today.
So far, fewer than one in five enterprises have fully embraced edge computing – but the future of computing clearly is moving toward the edge, connected with 5G technology.
That’s the word from GoodFirms, which reports that 17% of 390 enterprises surveyed have made significant moves toward edge computing. There is clear movement in this direction — edge computing is transforming existing computing architectures and network traffic involving collaboration artificial intelligence, communication technologies, deep learning, big data, and 5G. “Edge computing, with its decentralized computing framework, brings computing closer to end users/devices so that businesses requiring real-time data do not suffer latency issues,” the study’s authors report.
Top factors for adopting edge and 5G include switching to a different computing regime for fast responses (72%), cost-effectiveness (69%), data privacy (49%), and reliability (32%).
Cloud computing – a highly leveraged approach – has issues with latency, especially as data grows. A total of 44% of participants believe that cloud computing is impractical with high data volumes. With the exponential increase in the use of IoT devices, data volumes are increasing further, making cloud computing impractical. Edge computing is more reliable in such situations to handle huge chunks of data.
The key challenges that organizations can encounter even after adopting edge computing include data management complexities (74%), network security risks (62%0, and scaling complexities (58%). Other challenges include maintenance issues, speed bottlenecks, limitations on bandwidths, high volume data accumulation at the edge centers, connectivity issues, utilizing edge computing investment, life cycle management issues, and identifying all use cases for organizations.
The high volume of data accumulation at the edge also poses challenges. About one-third of respondents, 31%, expressed concerns about the management of the high volume of data accumulation at edge centers. While the edge infrastructure can help reduce data volumes at the cloud, there are chances that data gets accumulated at the Edge nodes due to limitations of hardware and software.
Continue reading: https://www.rtinsights.com/one-in-five-are-ready-for-5g-and-edge-computing-more-to-come/

Sitting in her Bay Area home office, Anarghya Vardhana, a venture capitalist, cradled her one-week-old baby at her breast and logged on to a Zoom video call.
In the days since she had given birth, the founder of a cash-strapped portfolio company had called an emergency meeting. A different company had thrown the founder a lifeline with an acquisition offer, and they now needed the counsel of their trusted investor, and fast.
Breastfeeding on a Zoom call wasn't exactly what Vardhana, a partner at Maveron, expected in her first week of maternity leave. But she said she couldn't ignore a founder's plea for help.
"I have biological children and my portfolio companies, which are also children," Vardhana said. She added that in a tumultuous market, "My portfolio companies need me more than ever."
Being a mother is an around-the-clock job, but many venture capitalist-mothers are finding that it's hard to draw a firm line to focus on being a parent when on maternity leave.
And with more women entering the male-dominated venture industry, firms are being forced to craft maternity leave policies on the fly to accommodate new mothers. But those policies may not necessarily mitigate an investor's urge to be available to counsel a startup founder or be at the ready to snap up a funding round for a hot startup, while fewer startups go out to raise.
Insider spoke to a dozen mothers in VC who said that even though the industry is adding more support for them like financial assistance with fertility treatments or breast-milk delivery, many continue to clock-in during their maternity leave for fear of missing out on a deal or simply because there's no one else to fall back on to help their portfolio companies while they're away.  
"You're always on call in a sense," Esther Dyson, a prolific angel investor, said. "It's just like being a parent."

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Forty years ago, the clubby male world of venture capital admitted so few women that maternity leave as a benefit was effectively nonexistent. At the time, Dyson was a globe-trotting investor and entrepreneur whose newsletter, Release 1.0, sparked conversations about tech issues in the internet's infancy. Her Rolodex gave her access to high-tech deals, and an appetite for risk led her to make early bets on 23andMe, Square, and SpaceX.
Continue reading: https://www.businessinsider.com/women-venture-capital-change-maternity-leave-policy-culture-2022-10

Meta is closing its Manhattan office, and giving notice to 12,000 employees that their services are no longer required - as the stock has dropped 55% in the last 18 months. San Francisco-based Docusign will lay off nearly 10% of its 7400 employees, Twilio will fire 11% of its workforce, Intel is cutting thousands from its ranks, and Twitter’s new Chief Twit is cleaning house: Elon Musk is on his way to a reported 75% reduction in force. Meanwhile, Apple has laid off about 100 recruiters, a sign of a hiring slowdown. “Silicon Valley is seeing layoffs across the board for the first time since 2008,” Dan Ives tells Insider. Ives, a tech analyst at Wedbush, shares troubling words: “Winter is coming to the tech world.” How can workers prepare for this new season?
"It is a poorly kept secret in Silicon Valley that companies ranging from Google to Meta to Twitter to Uber could achieve similar levels of revenue with far fewer people," Brad Gerstner, CEO of Altimeter Capital, wrote in a recent open letter to Meta. In early August, Google SEO Sundar Pichai was already reading the tea leaves, raising concerns about the company’s productivity on CNBC. Recently Google’s parent, Alphabet, has announced a hiring slowdown and a reduction in travel - a significant departure from last April, when employees enjoyed a private concert by Lizzo.
Technology has long been a hotbed of special employee benefits. Companies have competed with catering, massages, and the like, designed to attract the brightest and best. For these seduced employees, the reduction and removal of commonly accepted extras was viewed as outrageous - or impossible. Reductions in swag, exquisitely prepared meals, yoga studios, meditation centers and similar productivity-stroking perks just haven’t been part of the tech workforce reality. Until now. “Straight up heresy,” was how Bill Gurley, a venture capitalist, described the situation in Insider.
Employees were up in arms when Meta, the parent of Facebook, decided to limit the timing of free meals in the spring. Then, when they took away the laundry service, frustration increased. A hiring freeze soon followed, and now: a potential headcount reduction of 20% is on the horizon.
For young employees facing this transition, there are several things to keep in mind during times of contraction, reduced hiring and the removal of the espresso machine from the break room:
 

1. There is a Hiring Shortage Right Now: remember that there are 1.7 jobs for every worker who wants one. And that ratio may not hold in technology, where finding workers in Silicon Valley (and every other valley) is a big challenge. The Observer reports that the labor crunch is still alive and well, even after tech giants have fired tens of thousands of workers. For knowledge employees, the numbers say that there are lots of opportunities. Looking at the work, instead of the perk, consider the contribution you want to make - not just the swag you want to take.
2. “Profit is a Function of Risk” - those famous words, by economist Adam Smith, remind us of what we find inside times of churn and restructuring. Namely, the potential profits inside of flexibility and an expansive mindset. Forbes reports that internal candidates are receiving more consideration for promotion - have you put in your request yet? There’s never been a better time to prepare for this new season. That doesn’t mean just dusting off your LinkedIn profile - it means reducing your risk of a layoff by preparing for your next gig, now.
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   Read More: https://www.forbes.com/sites/chriswestfall/2022/10/30/young-workers-face-new-reality-tech-jobs-tumble-as-meta-twitter-and-apple-cut-employees-and-perks/?sh=6c03c83b4423

Sumathi Bhaskaran has added many feathers to her hat over 25 years in the technology sector. She started as a software developer, helping transform retail and travel/hospitality organisations with stints at Tesco and SapientNitro.
Now, as the Senior Director-Software Engineering at Lowe’s India, Sumathi is responsible for the transformation of systems, services, and applications used by thousands of customer service associates at Lowe’s physical contact centres and those working from home.  “As a child, the first thing I drew was a square-headed figure, which my parents told me was a robot. I was fascinated with science and technology while I was growing up.
Also, animated movies were a big thing with Jurassic Park and Terminator,” she says. Speaking of her father’s role in instilling her interest in the subject, Sumathi recalls a summer holiday when he insisted she joined a short BASIC course to tinker around.  “The teacher happened to be a computer whiz. She encouraged me to try out different ways to solve the same problem, and this left me greatly interested in the field. A few years down the line, when it was time for college, I would invariably pick computer science as my major. I loved problem-solving and logical thinking, so computer science was a great choice,” she adds. Read more at: https://yourstory.com/herstory/2022/10/woman-in-tech-sumathi-bhaskaran-lowes-india

Creating a successful AI-based solution is different from regular software development because how it will operate in a real-world situation isn’t easily predicted. Development is an interactive process that requires extensive testing to ensure it will work well with a company’s existing workflow and deliver a worthwhile return on its investment. As such, effective implementation requires an iterative approach that usually takes more time, effort, and money than traditional software efforts.
Artificial intelligence is the key that can unlock a new generation of automation and productivity for businesses. That’s well-understood by now. But the development of AI can also help drive companies’ sustainability efforts — something increasingly important to today’s workers. The organizations that already know all this are the ones who will start to pull ahead from the pack. Companies that want to stay competitive need the benefits that an AI workflow brings to be able to move fast, adapt, and innovate.
However, AI implementation can sometimes seem easier said than done. Too often, money is spent on new AI software that integrates poorly with existing workflows and leads stakeholders to wonder why the business ever bothered with AI in the first place. These events are common enough to make many business leaders have second thoughts about kickstarting their own AI workflow initiative.
These failures aren’t due to any inherent flaws in AI’s potential. Rather, they’re most often due to a misunderstanding of how the development of AI differs from that of standard software. While some extra costs and risks come with AI development, the benefits always outweigh those risks with the right implementation.
Continue reading: https://ceoworld.biz/2022/10/26/how-to-successfully-incorporate-ai-into-your-workflow/

Artificial intelligence has the potential to transform our lives for the better, leading to leaner businesses and happier customers. But our interactions are missing a core element.
Most of us live in societies that celebrate the individual—that uniqueness that so many corny inspirational quotes are written about: the variance of likes, dislikes and personal mannerisms that make up our identities. Catering to the individual and making each person and their needs feel validated and recognized is understandably the holy grail of customer service.
Personalization is, therefore, incredibly important not only to keep customers happy but to drive repeat business and win a return on investment. According to the Next in Personalization 2021 Report from McKinsey, a staggering 71% of customers now expect personalized interactions; meanwhile, 76% are frustrated when these expectations aren’t met. The bar for delivering personalized experiences is incredibly high, but over half of all companies are failing to personalize communications based on real-time customer behavior, according to Twilio (pg. 28).
There are only two options for businesses to provide the level of personalization that customers desire. They can either employ tens of thousands of humans working around the clock, or they can rely on machines. It’s little surprise that the latter is increasingly the preferred option.
Yet as machine-driven interactions proliferate, a recognition of this individuality is sorely missing. While a vast array of personalization options exist to be picked in everything from food orders to social media and web cookie consent forms, interactions with AI can often appear rigid and lifeless and fail to cater to our needs or preferences. Given these high customer expectations, this kind of approach is unsustainable.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/10/27/why-personalization-is-still-missing-from-ai-interactions/?sh=2828081a1ede

Artificial intelligence just doesn’t pop up when you install tools and software. It takes planning and, most of all, it takes data. But getting the right data to make AI and machine learning algorithms — and understanding it — is where many organizations are slipping up, a recent study finds.
Organizations face difficulties with data silos, explainability, and transparency, a study of 150 data executives commissioned by Capital One and Forrester Consulting finds. They say internal, cross-organizational, and external data silos slowed machine learning deployments and outcomes. A majority, 57% of respondents, believe silos between data scientists and practitioners inhibit deployments, and 38% agree that they need to break down data silos across the organization and partners. More than a third, 36%, say working with large, diverse, messy data sets is a challenge.
Data may well be the Achilles Heel of AI, industry observers agree. There’s a dearth of data literacy that is slowing the pace of progress, says Ajay Mohan, principal and AI and analytics lead at Capgemini Americas. Such literacy, he explains, is “an understanding of the value of data and how to manipulate and use it to generate value.” The issue for many companies, he points out, is they “often lack the appropriate resources, such as data scientists, data engineers or technology-oriented subject matter experts to look at the business challenges and the potential for data to unlock solutions to these challenges.”
Continue reading: https://www.forbes.com/sites/joemckendrick/2022/10/27/artificial-intelligence-has-an-achilles-heel-data/?sh=2526ce6b5637

When forward-deployed Army soldiers need air support, an operations center is tasked with identifying and assigning aircraft aid. With traditional software, an operator moves through a multistep process to search for available aircraft, identify their call signs and assess the munitions they carry. Pulling this relevant information can take several minutes—a long time to wait when making “real-time” decisions for immediate support.
Considering the massive amount of information the U.S. Department of Defense must sift through every day and increasingly sophisticated UAVs and UASs collecting even more data, it’s no surprise the Pentagon has turned to artificial intelligence for help.
The newly launched Chief Digital and Artificial Intelligence Office and efforts and strategies such as the Artificial Intelligence and Data Acceleration initiative, Joint All Domain Command and Control and JAIC shows that DoD recognizes the potential of AI in decision compression.
AI integration
The integration of AI is still largely siloed because access to networks that support individual missions remain stovepiped, as does the data access within those enclaves. Although efforts like JADC2 look to address this issue, difficulties associated with standing up hybridized infrastructures and training operational mission machine learning models keeps DoD from making significant progress.
The Pentagon also lacks standardized authorization to operate for automation and ML, further constraining the training and deployment of these models and degrading the capability of AI tools supporting the warfighter.
Continue reading: https://www.c4isrnet.com/artificial-intelligence/2022/10/26/artificial-intelligence-is-critical-to-accelerated-decision-making/