The toughest problem to solve to enable widespread use of autonomous air taxis and drones beyond visual line of sight is the holistic integration of new and legacy air traffic systems. A European project dubbed Gulf of Finland (GOF) 2.0, kicked off on September 2, 2021 and tackled this head on, in the largest trials yet of a single sky air traffic management system. 
The solution to harmonizing operations of manned aircraft, unmanned aerial vehicles and air taxis in shared urban low-altitude airspace: interconnectivity and data exchanges. The EU’s U-Space regulations codified how it should be done in a risk and performance-based framework, while the Single European Sky Aircraft Traffic Management Research Joint Undertaking, a public-private partnership of more than 3,000 international experts, has provided real world research to back it up.
According to Thomas Neubauer, the architect of Europe’s unmanned traffic management (UTM) interface standard, “We are proving a wide range of end-to-end application cases in a fully automated manner, and integrating them into the existing regime of air traffic management systems and rules.” Neubauer is Vice President of Innovations at TEOCO and co-founder of Dimetor, creators of AirborneRF, an end-to-end connectivity management software based in Vienna, which connects drones with traffic control systems using cellular networks.
Continue reading: https://www.forbes.com/sites/dawnzoldi/2021/09/28/europe-hits-key-milestones-to-launch-commercial-drones-and-air-taxis/?sh=4ae648f91382

Automobile transportation penetrates every business sector including the gig economy at Uber, farming, retail and spacecraft manufacturing. For any business, an efficient transport component is not just a way to optimize costs but is often a matter of survival.
However, the transport industry may change beyond recognition in the near future. Electric vehicles (EVs) are likely to become the game-changer, as they're moving from the category of consumer vehicles to the commercial sphere at an increasing pace.
The authorities of different countries are assisting the process: China and the European Union support EVs in every possible way. U.S. President Joe Biden announced similar plans, as the White House has already published its vision and is planning to invest $15 billion in the construction of a national network of 500,000 EV charging stations by 2030. Carmakers aren't lag behind, either, announcing electric versions of their commercial vehicles and EV infrastructure solutions on a regular basis.
What does all of this mean to business? The growing popularity of EVs will modify the approach to fleet management.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2021/09/27/how-electric-vehicles-are-disrupting-fleet-management/?sh=7021e23ce0ca

Cybersecurity is all about protecting data, but it’s clear organizations need to make a greater effort to protect that data where it is, not where they’d like it to be or think it could end up. As more organizations are making the transition to edge computing, that’s where security needs to focus. However, moving security to the edge can be complicated, leaving many organizations hesitant to make the switch.
“Reading any recent Cybersecurity and Infrastructure Security Agency (CISA) vulnerability alert illustrates the challenges of managing our traditional attack surface; adversaries are having a field day exploiting known unpatched vulnerabilities,” said Rick Holland, chief information security officer, vice president strategy at Digital Shadows, in an email interview.
“Attack surface management is even more difficult as we transition to edge computing,” Holland added. “To effectively manage this new attack surface, defenders must discover assets, understand the sensitivity of data on those assets and be able to conduct configuration and vulnerability management on those assets.”
Continue reading: https://securityboulevard.com/2021/09/challenges-securing-the-edge/

Edge computing is plural, not singular—here’s where you can make the biggest impact for your customers.
With a plethora of buzzwords constantly swarming the IT industry, staying apprised of the latest catch phrases can be an ongoing challenge. Case in point: “edge computing” While the IT term currently ranks among the most buzz-worthy, many solution providers don’t fully understand that there are actually several edge computing definitions. In fact, Gartner recently classified five types of edge environments: the regional data center, local data center, compute, gateway and device edge.
When you talk to IT pros who are knee-deep within the complexity of buzzwords like “the edge,” it’s important to be able to delve deeper–not only to demonstrate your knowledge and credibility, but also to add real business value.
While the regional data center edge is occupied by colocation providers and MTDC, and the device edge encompasses products such as autonomous vehicles and wearable devices, we at Eaton want to help bolster your knowledge on the three edge computing environments where channel partners can really add value:
Continue reading: https://www.channelfutures.com/from-the-industry/the-3-edge-computing-environments-where-partners-add-huge-value

The world is about to experience a dramatic shift. The automotive industry is one of the fastest-growing industries, and edge computing will be a big part of this change. Advancements in information technology, which include new sensors and better data processing and control, will transform the transportation system from a conventional technology-driven system into a more powerful data-driven system. This movement will generate a tremendous amount of real-time data from self-driving vehicles, driver-monitoring systems and surveillance cameras for artificial intelligence algorithms to harness.
And these advancements won’t just affect the driving industry. Edge computing and network upgrades show promising applications in various business use cases.
The Role Of Edge Computing
Edge computing is comprised of compute storage, data management, data analysis and networking technologies. The edge allows for real-time data processing, which allows applications and devices to react to data instantaneously.
Autonomous vehicles can connect to the edge to improve safety, enhance efficiency, reduce accidents and decrease traffic congestion. These cars are equipped with a variety of sensors, and the large amount of data created by these sensors needs to be processed quickly.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2021/09/27/edge-computings-applications-in-autonomous-driving-and-business-at-large/?sh=66e81fb296aa

The enhanced functionality made possible by the Internet of Things (IoT) and associated technologies is responsible for many of the major changes seen across society today. Video surveillance is one area that experiences substantial evolution driven by IoT and other smart technologies.
Enhanced Video Surveillance Functionality
The intelligent monitors and sensors of the IoT combined with emerging high-speed network solutions promise to improve the performance and capabilities of video surveillance systems. Presented below are two technologies that will drive the enhanced functionality of video surveillance equipment.

• Artificial intelligence (AI) and deep machine learning (ML) are bringing the power of analytics to unmanned video surveillance. Reliably trained AI systems enable extensive networks of surveillance equipment to be deployed without the need for human monitoring.
• Wireless communication technologies such as 5G and narrow band IoT (NB-IoT) improve the speed with which video feeds are made available to human and AI applications. The reduced latency improves the performance of video systems and elevates the user experience. NB-IoT’s signal penetration capabilities allow video cameras to be placed in previously inaccessible areas.

Continue reading: https://www.securitymagazine.com/articles/96164-how-the-internet-of-things-is-reshaping-video-surveillance

Like stern traffic cops, data diodes reinforce a one-way route for data traveling through a network, ensuring that the IoT devices behind the diodes won’t be compromised by malicious incoming traffic.
Simple but elegant solutions, data diodes provide hardware-based security to Internet of Things (IoT) environments. These environments have become more vulnerable, as the volume of connected devices grows, and the networks stretch to wider and more remote geographies. For any administrator of an IoT infrastructure, security is the foremost concern today—with good reason.
“IoT devices now make up 32.72% of the infected devices observed,” Nokia noted in its “Threat Intelligence Report 2020,” which chronicles malware activity in networks based on data collected by the company’s security software. “Compared with 2019, the share occupied by IoT devices in the overall device breakdown has increased by 100%, from a previous share of 16.17%.” The threat to IoT endpoints is so severe that Nokia concluded, “Cybercriminals are focusing their effort on IoT and mobile devices.”
“The growing digitalization of critical infrastructure with an increasing number of IoT devices is raising the bar for network security,” wrote Andres Guilarte, global product manager, connectivity and IoT for Siemens Mobility in a response to emailed questions from IoT World Today.
Continue reading: https://www.iotworldtoday.com/2021/09/27/why-data-diodes-bolster-iot-security-with-one-way-traffic/

IoT devices are now standard consumer and commercial technology. Their growing availability and often poor security means they have emerged as a significant target for hackers. At the same time, the pivot to remote work during COVID-19 has encouraged cyber criminals to ramp up their efforts, making networks of all kinds much more vulnerable to attack.
Malware that targets IoT devices is rising, and cyber criminals are leveraging botnets in attacks more often.
Owners and developers of this technology should know how malware can infect IoT devices and the steps they can take to defend their products.
The Growing IoT Malware and Ransomware Threat
In 2020, most new IoT attacks were driven by two prominent IoT botnets: Mozi and Mirai. Mirai is an older botnet that first appeared in 2016, while Mozi was deployed in 2019. Mozi is likely based on Mirai, as the two botnets have significant code overlaps.
Continue reading: https://www.iotforall.com/iot-malware-attack-protection-amidst-covid-19-threats

With the holiday season approaching, businesses across the world are still trying to resolve supply chain problems that have been repeating since the pandemic began in 2020. Can the internet-connected sensors and low-powered edge computers of the Internet of Things solve the problem? 
Supply chain issues have affected businesses in all sectors, from car rental businesses hamstrung by the auto-industry's year-long semiconductor shortfall, to the humble bike shop because some components aren't being produced in volumes that they were before.
British satellite telco Inmarsat outlines multifaceted challenges that businesses face today, from population growth to spikes in consumer demand, a shortage of resources at the right time, efforts to reduce carbon output, and a new focus on safety after the pandemic. 
"Now organizations are choosing to work with likeminded businesses, to collaborate and share data, to optimize operations and to show consumers provenance and their commitment to end-to-end sustainability and ethical business," Inmarsat says in a new report about IoT. 
Continue reading: https://www.zdnet.com/article/global-supply-chains-are-struggling-the-iot-could-help/

The internet of things (IoT) is already providing benefits to drivers in the form of sophisticated entertainment systems. It’s become common practice to connect mobile phones to smart radios for music or navigation, and many cars have built-in voice recognition software. But IoT technology offers many more applications to the automotive sector. Following are some examples.
Semi-autonomous vehicles and safer roads. While we’re far from the totally driverless stage of car development, vehicle automation has come a long way. Semi-autonomous vehicles use proximity sensors and cameras to assist drivers with parking, lane changing, braking and many other driving functions. Such systems can even take over partial control of the vehicle in emergencies, and IoT technologies can detect collisions and automatically contact emergency services with location details.
Because most road accidents are due to human error, the widespread use of this technology should result in much safer roads. IoT devices can even monitor driving habits and suggest alterations to the driver, resulting in smarter drivers as well as smarter vehicles.
Continue reading: https://www.supplychainbrain.com/blogs/1-think-tank/post/33762-article-headline

Deciding on an IoT Toolset
Companies are implementing IoT by purchasing turnkey technologies and customizing them. But more are exploring the development of their own Internet of Things (IoT) applications for company-specific use cases that can optimize operations, revenue gains and cost savings.
This has organizations on the hunt for IoT software development tools.
Companies have several reasons to choose open source IoT development: it’s vendor-agnostic, supported by a worldwide community and – usually – it’s free. But the argument for vendor-supported toolsets is also strong, especially if companies use a high amount of IoT in these vendor environments.
Here’s a breakdown of vendor-supported tools that are gaining traction in enterprise IoT development:
Eclipse NeoSCADA
NeoSCADA is a set of IoT development tools that can be used flexibly and for many different applications. It contains development libraries, interface applications, mass configuration tools, and front-end and back-end applications. Eclipse fully supports this toolset with expertise when help is needed. Additionally, the Eclipse IoT Industry group engages with OpenSCADA, an open source IoT development toolset, or SCADA that features editing and debugging, front-end applications, back-end applications, libraries, interface applications, configuration tools, and many programming languages like Utgard, Atlantis, Orilla, and others.
Continue reading: https://www.iotworldtoday.com/2021/09/27/open-source-iot-development-tools-vs-vendor-supported-tools/

If you've been to a virtual conference lately or hung out on Twitter, you might not realize what you're missing: women. Hopefully, the conference has a healthy roster of women speakers. And, just as hopefully, you follow women on Twitter. But in both places, you're almost certainly not getting a high-fidelity version of women's voices. Instead, you're almost certainly hearing or reading a dumbed-down version of what they could share if only we'd stop shouting them down.
In a series of conversations with a number of high-profile women in tech, each told me how online abuse has pushed them to retreat. They talk on Twitter, but rarely share insights into hard technical problems. As one senior developer said, "I'm not even able to share 1-2% of the depth of my knowledge on a medium like Twitter." Why? According to another, "It's such a headache dealing with the comments on technical tweets." 
And so we get less technical insight from these and other women, effectively turning them into 1950s American housewives who can talk about their pets but not the distributed server farms they may build and manage. What is wrong with us?
Continue reading: https://www.techrepublic.com/article/how-were-silencing-women-in-tech-one-tweet-at-a-time/

hen many of us think of tech, we tend to picture it as a male-dominated field. This assumption often proves quite accurate as several reports suggest that top positions are held by men. This is on its way to changing, however, as there are a number of inspiring women in tech making waves. 
Within Europe, which is a global tech hub, many female tech entrepreneurs are emerging in management positions, product development, PR, and so on. With 2021 being such an important and interesting year for tech watchers, here are some of the women in European tech to look out for: 
1. Elena Aster, founder of Aster Venture Capital 
With an over 10-year career as an entrepreneur and fundraiser for tech companies and startups, also having Master degree in Applied Physics and Mathematics, combining these experiences Elena Aster founded ASTER Venture Capital, a VC fund that focuses on investing in disruptive technologies in AI, Blockchain and Robotics.  All these industries are actively developing and gaining momentum, bringing great benefits to humanity. In the next 10-15 years, the number of industrial robots will at least double, the global AI market may grow by a third, and the global Mobility market is projected to grow from $251 billion to $1.8 trillion in 2028.
Continue reading: https://www.ibtimes.com/inspiring-women-tech-europe-watch-2021-3305528

This Hispanic Heritage Month, as we continue to celebrate the achievements and contributions of Latinx people in America, we’re thrilled to be able to highlight some incredible individuals doing amazing work in a field we don’t hear nearly enough about. Science, technology, engineering and mathematics aka STEM! People of Latin American descent continue to be under-represented in STEM and it’s clear there’s still a lot of work that needs to happen. According to a recent PEW study, Latinos make up 17 percent of the workforce in this country, but only 8 percent of all STEM workers, and that number has only increased by one percent since 2016. That’s in keeping with the increase observed in the workforce as a whole, but what it indicates, is that very few Latinx people are choosing to obtain degrees in STEM fields.
We think that needs to change. But so many of us grew up not knowing that things like engineering and computer programming were even options, that it’s inevitably going to take a while. But, as is the case with most things, representation can make a huge difference. The more we see people with similar backgrounds to our own doing things, the more likely we are to believe we—and our kids—can do them too. So here, we’re sharing some of the most inspiring and hardworking Latinas in STEM, so you can support them, and learn about the incredible work they’re all doing in their fields and for their communities.
Continue reading: https://hiplatina.com/latinas-stem/

Our lives have gone digital. From the products we use daily to the content we consume online, tech companies are increasingly influencing the direction of humanity and creating the solutions of the future.
The problem is that we have too few women working in these companies—especially in top leadership roles—which threatens to leave half the world’s population out of the conversations shaping our collective future since just 25% of STEM jobs are held by women.
In addition, a UNESCO study found that globally, women comprise just over a quarter (28%) of engineering graduates. Yet, according to a report on the state of women in tech, only 11% percent of practicing engineers are women.
And things seem to be trending in the wrong direction, as the World Economic Forum warns that the pandemic has put women another generation behind in reaching parity.
“Advances in technology will surely not consider women’s issues if there are no women to point them in that direction,” says Somi Arian, tech-philosopher, filmmaker, entrepreneur and founder and managing director of FemPeak. “Women need to be part of the conversation that is creating solutions for the future of humanity so that we can achieve equality.”
Continue reading: https://www.forbes.com/sites/markcperna/2021/09/28/crossing-the-gender-gap-in-tech-how-to-inspire-more-women-to-embrace-stem/?sh=6d1c25636bae

The police department in the city of Austin, Texas plans to create a new Robotics Unit to oversee the operations of its drone fleet.
Within the next several months, the Austin Police Department is expected to request that the City Council approve funding for the creation of the unit, Assistant Chief Scott Perry said in an interview.
“Drones are a force multiplier,” Perry said. “As new technologies come on line … it’s always incumbent on us as an organization to make sure that we’re doing everything we can, making sure we have the latest technology that we can use to keep people safe and fight crime.”
The department first launched a drone pilot program around late 2019, using about $31,000 in donated funds and $1,800 in federal funds to purchase drones and equipment. Currently, Austin PD maintains a fleet of 17 multi-rotor UAVs, including 16 DJI Mavics and one Skydio drone, Perry said. The department currently has two pilots certified to fly the drones, with several other officers in training to receive their pilot certification.
Continue reading: https://dronelife.com/2021/09/27/austin-pd-drones-department-to-launch-robotics-unit/

After hearing this summer from a man who said some in his neighborhood were harassed by someone flying a drone, Hamilton City Council approved legislation Wednesday to outlaw voyeurism using the automated flying machines. Council unanimously approved the legislation, despite concerns expressed by people who fly drones as professionals and as hobbyists. Rather than waiting to evaluate concerns expressed by the drone pilots, council members approved the ordinance, and said they can adjust it later if necessary, perhaps in the coming weeks. A longtime city resident recently told council a man was using a drone to peer into windows, fly over children playing in yards and chase a young woman down the street. Council, concerned that police found themselves unable to file charges, pledged to work quickly to make such acts illegal.
Continue reading: https://www.govtech.com/policy/hamilton-ohio-votes-to-make-drone-voyeurism-illegal

What if someone figured out how to use blockchain technology to revolutionize the oil and gas industry? What would that look like, I wonder.
It all started with an old friend of mine, now a senior official in the oil and gas industry, approached me after reading one of my recent Forbes articles on the blockchain. He mentioned how he was intrigued by my opinion into this emerging field but also felt it had tremendous potential for his sector, which is at once both highly complex yet still critically important to human life as we know it — oil and gas.
Blockchain has moved past its status as a niche technology and is now being looked at as one that can transform many traditional industries by bringing digital automation, security and potentially large cost savings. Shareholders have been pushing oil and gas businesses to cut expenses while increasing earnings, putting them under pressure. Blockchain can help the oil and gas supply chain by automating numerous procedures and providing greater transparency.
Continue reading: 
https://www.forbes.com/sites/forbesbusinesscouncil/2021/09/27/where-blockchain-technology-can-disrupt-the-oil-and-gas-industry/?sh=726691ff14ab

Can businesses trust decisions that artificial intelligence and machine learning are churning out in increasingly larger numbers? Those decisions need more checks and balances — IT leaders and professionals have to ensure that AI is as fair, unbiased, and as accurate as possible. This means more training and greater investments in data platforms. A new survey of IT executives conducted by ZDNet found that companies need more data engineers, data scientists, and developers to deliver on these goals. 
The survey confirmed that AI and ML initiatives are front and center at most enterprises. As of August, when ZDNet conducted the survey, close to half of the represented enterprises (44%) had AI-based technology actively being built or deployed. Another 22% had projects under development. Efforts in this space are still new and emerging — 59% of surveyed enterprises have been working with AI for less than three years. Survey respondents included executives, CIOs, CTOs, analysts/systems analysts, enterprise architects, developers, and project managers. Industries represented included technology, services, retail, and financial services. Company sizes varied.
Swami Sivasubramanian, VP of machine learning at Amazon Web Services, calls this the "golden age" of AI and machine learning. That's because this technology "is becoming a core part of businesses around the world." 
IT teams are taking a direct lead in such efforts, with most companies building their systems in-house. Close to two-thirds of respondents, 63%, report that their AI systems are built and maintained by in-house IT staff. Almost half, 45%, also subscribe to AI-related services through Software as a Service (SaaS) providers. Another 30% use Platform as a Service (PaaS), and 28% turn to outside consultants or service firms.
Continue reading: https://www.zdnet.com/article/preparing-for-the-golden-age-of-artificial-intelligence-and-machine-learning/

Far from the stuff of fantasy, artificial intelligence (AI) has become an integral part of our lives. Even the most tech-adverse among us use AI, perhaps unknowingly, when we type a query into Google or plug in GPS. Those who embrace technology, on the other hand, actively look for ways AI can improve their work and personal lives. Though it seems AI is a new phenomenon, the technology has been around since 1956. While AI’s popularity has waxed and waned, it gained legitimacy in the 1990s and 2000s when a chess computer program beat the grand chess master Garry Kasparov and speech recognition software was installed on Windows. The factor that made these innovations possible was the ability of computers to store and process ever-larger amounts of information. Today we are in the era of “big data,” and while AI seems ubiquitous, it is just beginning to reveal its full potential. AI is expected to have global as well as individual impact in the future – if it hasn’t already. “You can learn very quickly from data when you build models to make better decisions,” said David Reeser, CEO and co-founder of the Wilmington-based AI company OpiAID. “AI and the Internet of Things (all objects connected to the internet) is the next industrial revolution.”
Continue reading: 
http://www.wilmingtonbiz.com/brainstorming_ai/2021/09/27/brainstorming_ai/22356

When it comes to digital transformation, the Covid crisis has provided important lessons for business leaders. Among the most compelling lessons is the potential data analytics and artificial intelligence brings to the table.
During the pandemic, for example, Frito-Lay ramped up its digital and data-driven initiatives, compressing five years’ worth of digital plans into six months. “Launching a direct-to-consumer business was always on our roadmap, but we certainly hadn’t planned on launching it in 30 days in the middle of a pandemic,” says Michael Lindsey, chief growth officer at Frito-Lay. “The pandemic inspired our teams to move faster that we would have dreamed possible.”
The crisis accelerated the adoption of analytics and AI, and this momentum will continue into the 2020s, surveys show. Fifty-two percent of companies accelerated their AI adoption plans because of the Covid crisis, a study by PwC finds. Just about all, 86%, say that AI is becoming a “mainstream technology” at their company in 2021. Harris Poll, working with Appen, found that 55% of companies reported they accelerated their AI strategy in 2020 due to Covid, and 67% expect to further accelerate their AI strategy in 2021.
Continue reading: https://hbr.org/2021/09/ai-adoption-skyrocketed-over-the-last-18-months

Artificial intelligence promises to be one of the most important, and potentially most disruptive, technologies of our time.
It has already permeated the fabric of our daily lives, shaping everything from the recommendations that turn up when we search the internet, to drive-assist features in cars like the Tesla. In the future, AI may help doctors make better diagnoses and power entirely self-driving vehicles. In this regard, AI is a truly epoch-making advance, considered by experts to be a “general-purpose technology” like the wheel, the steam engine, electricity and the modern factory system.
These sorts of technologies are the underlying forces that power entirely new industries and recreate existing ones. They also underpin the rise of whole new economic systems. AI is predicted to have substantial economic impacts, adding as much as $15.7 trillion to global economic output by 2030. It’s no surprise, then, that the U.S. government placed AI high up on its list of key critical technologies for innovation, economic competitiveness and national security.
But AI threatens to reinforce or magnify the same geographically uneven patterns of previous high-technology industries that are concentrated in leading tech hubs and superstar cities across the U.S. That’s the main take-away from a new Brookings Metro study that digs into the geography of AI at the metro level. The study, by Mark Muro and Sifan Liu, charts AI’s impacts across two key dimensions: university research, including academic publications, patents and federal grants and contracts; and commercialization factors like job postings and workforce skills.
Continue reading: https://www.bloomberg.com/news/articles/2021-09-08/san-francisco-bay-area-dominates-race-for-ai?srnd=citylab

The world runs on data, and humans alone could never monitor or safeguard all of it.
When applied thoughtfully, artificial intelligence (AI)-enhanced cybersecurity can add essential layers of protection for modern enterprise networks. 
AI In Cybersecurity Today
Research firm Technavio expects the AI-based cybersecurity market to grow by $19 billion from 2021 to 2025. The company cites the increased complexity of enterprise networking environments, which often include a mix of legacy, on-premises infrastructure, and cloud resources, all of which need to be accessed remotely. AI approaches add efficiency and accuracy and reduce the impact of the ongoing worker shortage in this field. 
As organizations have become more comfortable with autonomous applications that help streamline workflows and reduce human error, it’s only natural that we would see more AI in cybersecurity adoption as well. These five AI in cybersecurity trends underscore the overall shift toward AI business applications across many fields:
5 Trends In AI In Cybersecurity
1. AI Will Reduce Burden From Cybersecurity Worker Shortage
As workers around the world were sent home from their offices to work remotely in 2020 during the COVID-19 pandemic, cybercriminals were already lying in wait, ready to pounce on vulnerabilities widened by the mass influx of unsecure network connections. Those same tactics have played out across the SecOps field, which has been dealing with a significant skilled worker shortage for several years. 
According to its 2020 Cybersecurity Workforce report, (ISC)2 estimates the cybersecurity industry is in need of about 3 million qualified cybersecurity workers. Additionally, the report says, 64% of the cybersecurity professionals surveyed say their organization is impacted by the cybersecurity skills shortage. 
When SecOps teams are lacking in staffing, vulnerabilities naturally increase. No human could keep up with every viable threat, as cybercriminals know. 
AI is playing a role in these situations. Sophisticated AI-driven algorithms can recognize patterns of attacks, suspicious email activity, and identify the most vulnerable network endpoints. AI can also tackle repetitive, error-prone tasks, like data labeling, and generate automated reports for human analyst review. All of these features will help to reduce SecOps teams’ bandwidth, so team members can focus on other important security roles. 
2. AI Will Automate Identity And Access Management Security Measures
Identity and access management (IAM) is becoming more important than ever with the increased adoption of zero-trust security frameworks, which require every network user to be authenticated, authorized, and continuously validated. 
AI can greatly reduce the amount of manual labor required to carry out these goals by introducing smart automation into security systems. AI can monitor and analyze user activities, including typing and mouse movements. It can also power supervised algorithms and unsupervised learning, both of which help SecOps teams identify anomalous behavior. 
AI can improve security across the customer authentication experience as well, from the point of account creation and login to interacting with service accounts. AI monitoring of these activities helps organizations to assign risk scores related to potentially suspicious events, instead of simply locking users out or terminating their connections mid-session. This more nuanced approach improves efficiency and helps analysts zero in on genuine threats. 
Continue reading: https://www.datamation.com/security/artificial-intelligence-ai-in-cybersecurity-trends/

Artificial intelligence is going mainstream. If you're using Google docs, Ink for All or any number of digital tools, AI is being baked in. AI is already making decisions in the workplace, around hiring, customer service and more. However, a recurring issue with AI is that it can be a bit of a "black box" or mystery as to how it arrived at its decisions. Enter explainable AI.
Explainable Artificial Intelligence, or XAI, is similar to a normal AI application except that the processes and results of an XAI algorithm are able to be explained so that they can be understood by humans. The complex nature of artificial intelligence means that AI is making decisions in real-time based on the insights it has discovered in the data that it has been fed. When we do not fully understand how AI is making these decisions, we are not able to fully optimize the AI application to be all that it is capable of. XAI enables people to understand how AI and Machine Learning (ML) are being used to make decisions, predictions, and insights. Explainable AI allows brands to be transparent in their use of AI applications, which increases user trust and the overall acceptance of AI.
Why and Where We Need Explainable AI
There is a valid need for XAI if AI is going to be used across industries. According to a report by FICO, 65% of surveyed employees could not explain how AI model decisions or predictions are determined. The benefits of XAI are beginning to be well-recognized, and not just by scientists and data engineers. The European Union’s draft AI regulations are specifying XAI as a prerequisite for the eventual normalization of machine learning in society. Standardization organizations including the European Telecommunications Standards Institute (ETSI) and the Institute of Electrical and Electronics Engineers Standards Association (IEEE SA) also recognize the importance of XAI in relation to the acceptance and trust of AI in the future.
Philip Pilgerstorfer, data scientist and XAI specialist at QuantumBlack, has indicated that the benefits of XAI include:

1. Building trustworthiness: Humans are better able to trust the AI model when the characteristics and rationale of the AI output have been explained.
2. Satisfying legal requirements: Financial and healthcare industries may be required to incorporate machine learning models into their complex risk assessment strategies in order to fulfill regulatory requirements for effective risk management.
3. Providing ethics-related justification (and removing unconscious biases): Because XAI is transparent and able to more easily be debugged, unconscious biases can be removed, and ethical decisions explained.
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   Continue reading: https://www.cmswire.com/digital-experience/4-reasons-why-explainable-ai-is-the-future-of-ai/

Artificial intelligence may not be a fringe technology anymore, but that doesn’t mean businesses are using it to its full potential. From automating repetitive processes to forecasting to better serving customers and clients, companies can realize significant productivity gains and cost savings from the smart application of AI. 
Even though AI’s potential applications are widespread, businesses would be wise to take focused, careful steps in applying the technology to best meet their unique needs. Below, 14 industry experts from Forbes Technology Council share smart ways leaders can introduce AI into their businesses right now.
1. Automate Manual Processes
We use AI to automate manual processes—especially when it comes to data entry. We have had success in applying AI in automating back-office tasks through optical character recognition, data capture, document indexing, robotic process automation and other use cases. It’s not nearly as high profile as AI’s uses in healthcare or self-driving cars, but for us, it has been a real ROI deliverer. - Matt Berseth, NLP Logix
2. Identify Patterns
Innovative public sector organizations are using AI to help make predictions that advance their mission. AI helps you find patterns in existing data and then make predictions from new data. Nonprofits can predict which individuals will donate to their cause, hospitals can predict health issues in patients and government agencies can predict breakdowns in equipment before they happen. - Dave Levy, Amazon Web Services (AWS)
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2021/09/27/14-smart-ways-businesses-can-leverage-ai-for-growth-and-efficiency/?sh=ff1d206594ee