It now seems impossible to find a marketing challenge where AI isn’t touted or at least considered as a solution. Some tasks clearly lend themselves better to the elixirs of AI than others. One of these may be the optimization of landing pages.
I recently asked Tamara Grominsky, chief strategy officer at Vancouver-based Unbounce, to share her thoughts on the role of AI in landing page optimization.
Paul Talbot: What do most marketers miss when it comes to building a landing page?
Tamara Grominsky: The biggest misconception marketers have about landing pages is believing that simply having one is enough. While this may have worked in the past, we now know that one landing page can never speak to all customer segments.
To create relevancy, marketers need to focus on the targeting and optimization of a landing page to drive more clicks, conversions and ROI. We recognize however, that creating multiple variants and then optimizing them can be time-consuming and challenging, especially if you don’t know what to test.
That’s why Unbounce believes so passionately in the power of AI to not just simplify multivariate landing page creation, but also identify conversion patterns entrepreneurs and small business owners could never see on their own. 
Continue reading: https://www.forbes.com/sites/paultalbot/2021/09/29/can-ai-help-create-better-performing-landing-pages/?sh=3ecfb6a8e6e3

According to 2020’s McKinsey Global Survey on artificial intelligence (AI), in 2020, more than 50% of companies have adopted AI in at least one business unit or function, so we witness the emergence of new AI trends. Organizations apply AI tools to generate more value, increase revenue and customer loyalty. AI leading companies invest at least 20% of their earnings before interest and taxes (EBIT) in AI. This figure may increase as COVID-19 is accelerating digitization. Lockdowns resulted in a massive surge of online activity and an intensive AI adoption in business, education, administration, social interaction, etc.
This article aims to overview new and current AI trends that emerged in 2020 and are still increasing in 2021. Based on trends, companies can make projections of the AI future in 2022 and successfully mitigate risks.
AI Adoption Trends
AI adoption level differs depending on the industry. Using the data mentioned in the McKinsey Global Survey on AI, we can highlight four leading sectors: high-tech, telecom, automotive, assembly.
Companies apply AI for service operations, service or product design, advertising, and sales. Regarding investments, the area of drug discovery and development received the highest amount of money — in 2020, the total sum of assets exceeded 13.8 billion dollars, 4.5-fold higher than the year before.
AI drives the highest revenue growth if applied in inventory and parts optimization, pricing and promotion, customer-service analytics, sales, and demand forecasting. Use cases that reported cost decrease are related to optimization of talent management, contact-center automation, and warehouse automation.
Continue reading: https://www.iotforall.com/artificial-intelligence-technology-trends-that-matter-for-business

How long will it take for blockchain-based services to replace existing services? For example, after the internet was introduced by the Pentagon’s Alphanet in 1969, it took more than 40 years for the existing offline business to become an online business using the Internet.
According to Deloitte, 53% of C-level officers — from CEOs to CFOs — identified blockchain as a crucial part of their organizational infrastructure in 2020 and a technology that can help their organization function more efficiently. Since November, PayPal has supported cryptocurrency trading services and recorded the company’s highest performance. Visa has also decided to support blockchain transaction services to banks worldwide. As a result, there is a way for banks to trade currency such as Bitcoin in the future.
No matter how new blockchain technology is, it seems not too far from commercializing blockchain-based services that can replace existing services at a time when technology development is accelerating.
What are the obstacles to implement blockchain technology?
Blockchain is often compared to the internet, but people knew how to use it intuitively when the internet first came out. Still, blockchain has an impressive background where technology comes before distinct use, so it has many obstacles to realization.
Continue reading: 
https://www.forbes.com/sites/forbesbusinesscouncil/2021/09/29/overcoming-the-obstacles-to-implementing-blockchain-technology/?sh=7b7c3fc7d0ea

Tiempo Secure, a secure semiconductor design company, has been selected, in a partnership with the CEA, as a winner of the Great Cybersecurity Challenge ("Grand Défi Cyber"), a project launched by the French government in 2020. The announced objective of the Great Cybersecurity Challenge is to make our systems sustainably resilient to cyberattacks. Participating in the Challenge brings a valuable support to Tiempo Secure for the development of the iMRC project, which makes IoT connected objects resistant to known and yet unknown attacks.
The iMRC project secures connected objects in a resilient way
The weak security of connected electronic objects has become the Achilles' heel of networks. In a world where the Internet of Things (IoT) is under constant attacks, the integrated Monitoring & Recovery Component (iMRC) greatly improves the resilience of connected electronic objects. The iMRC project improves the robustness of connected objects not only to known attacks but also to those that are still unknown.
An attack by a virus, ransomware or spyware on a connected object modifies the behavior of this object. Typically, it can lose connection with the remote server or start behaving erratically, with undesired effects. The integrated Monitoring and Recovery Component (iMRC) can detect these behaviors, regain control over the connected object and repair it.
Continue reading: https://www.design-reuse.com/news/50670/tiempo-secure-cea-iot-security.html

Technology is always full of new buzz words and abbreviations. Some don’t stick around for long while others like AI become part of everyday language even if what it does isn’t always understood. AIoT is the combination of Artificial Intelligence and the Internet of Things, two incredibly popular acronyms that have emerged as disruptive forces within the technological world.
What does AIoT do, is it just another marketing term or is it here to stay? Before answering these questions, it’s important to understand what the two technologies do in their own right.
Internet of Things
Firstly IoT, IoT stands for the Internet of Things. This includes the network of “things” that have sensors, software and other technologies that can connect and exchange data with other devices over the internet. The devices included in the Internet of Things range from smart locks to cameras, mobile phones to medical devices. There are currently around 30 billion IoT connected devices and will increase to around 75 billion connected devices in 2025. These devices play an important role in society and will play an even bigger role when combined with artificial intelligence.
Continue reading: https://www.techradar.com/news/what-is-aiot

Ericsson’s new Cloud Connect service, an integrated component of the Ericsson Internet of Things (IoT) Accelerator, makes it easy for enterprises to securely connect cellular devices to public cloud IoT endpoints such as AWS IoT Core.
With an estimated five billion cellular IoT devices to be in use by the end of 2026, according to the Ericsson Mobility Report (June 2021), enterprises are increasingly outsourcing device authentication and data management to public cloud providers such as Amazon Web Services (AWS).
Enterprises on Ericsson IoT Accelerator-managing cellular devices such as sensors, meters, or tracking devices now have a much simpler way to connect to the already secure AWS server through Ericsson’s IoT Accelerator Cloud Connect, which moves complex encryption from the device to the edge of the cellular network.
Companies across multiple sectors have welcomed the capability.
Steve Dunn, CEO and Co-Founder at Digital Keys, a smart IoT security company, says: “Our cellular connected smartlocks with digital keys application are used for banks, hotels, universities, office buildings, shared labs, and apartments. Every smartlock has a SIM card that needs to connect to the cellular networks and the AWS cloud securely. It was a smooth process with Ericsson’s IoT Accelerator Cloud Connect.”
Continue reading: https://iotbusinessnews.com/2021/09/28/06989-ericsson-iot-cloud-connect-simplifies-connecting-cellular-iot-devices-to-aws/

Amazon Web Services (AWS) provides several different mechanisms that can help you to track and manage your Internet of Things (IoT) devices. One of the most basic things that you can do within the AWS cloud it to create an inventory of the IoT devices that your organization uses.
When you create a device inventory, what you are really doing is creating a collection of "things." Amazon defines "things" as digital representations of IoT devices. Although these things do not have any connectivity to the actual devices (at least not initially), they can be used to categorize devices in a way that makes the devices a bit easier to keep track of.
To get started, select IoT Device Management from the list of services (it's in the Internet of Things section). When you do, you will be taken into the AWS IoT console, with the Things tab selected. You can see what this looks like in Figure 1.
Continue reading: https://virtualizationreview.com/articles/2021/09/28/aws-manage-iot.aspx

Cybercrime is powerful and impacts places you may not initially consider a cyberattack target. When unauthorized users access sensitive information, they steal personal data, plant malicious code, or introduce ransomware. In just the first half of 2021, we witnessed two cyberattacks on critical industries operating heavily in the physical realm: fuel pipelines and meat processing. A “phygital” experience is blending the physical and digital worlds like physical access control and video, logical access control, credentials, and wireless devices, including radio frequency identification (RFID), near field communication (NFC), and Internet of Things (IoT)-based systems. The physical and digital world are interchangeable, making verification the currency to ensure people, products, services, and systems fulfill their intended purpose and have access to the right environment at the right time.
Verifying Identity with Credentials
From even the earliest security implementations, a core question stands out: are you who you claim to be? This question persists from old-school and manual verification through cyber and automated security processing. Credentials are available as reusable tokens or as unique, custom identifiers; for example, consider a generic parking pass versus your individual driver’s license. These tokens and identifiers may take different forms in physical or digital devices with varying levels of personalization and are designed to protect physical access and information access. However, regardless of their medium, credentials operate in conceptually similar ways.
Continue reading: https://www.iotforall.com/phygital-experience-security-in-an-increasingly-digital-future

The rise in IoT breaches demands improved IoT security. Jason Shepherd, VP of ecosystem, ZEDEDA, explains why IoT security is a challenge and how open collaboration can foster better security.
IoT and the emerging trend of edge computing make for a security conundrum due to the sheer scale and distribution of devices in the field. However, first I’ll qualify this by saying that most of the IoT security breaches we have heard about to date were due to a failure to leverage known technologies and practices. Examples include the Target store hack as a result of improper segmentation between OT and IT networks and the Mirai bot that involved millions of cameras with limited passwords. Meanwhile, the infamous Stuxnet was an insider attack. Each of these was preventable had the right tools been applied.
The concerns over IoT security are warranted, especially depending on the use case. While a stranger yelling at your kid through a hacked smart camera is certainly creepy, it’s downright scary to think about a breach into the core systems of a chemical plant. Generally speaking, security breaches in the OT world  have an immediate impact on production and safety, for example, a factory or the drivetrain of a vehicle shutting down. 
Continue reading: https://www.toolbox.com/tech/iot/guest-article/iot-security-the-elephant-in-the-room/

This is not an unfounded concern: as we can read in media, a growing number of cyberattack cases over industrial plants make the infrastructures useless or even alter their operation with the risk that this entails.
It was in 2010 when we became for the first time familiar with industrial cybersecurity. Stuxnet, a malware described as the first cyber weapon, was introduced in an Iranian nuclear power plant to delay Iran’s nuclear program. This malware managed to control the valves and pressure sensors of the enriched uranium centrifuges.
Industrial cyberattacks over critical infrastructures have grown considerably in the past year, attacking thermal power plants, electrical substations, water treatment plants, or oil pipelines. Examples of these are the recent attack against Colonial Pipeline or against a water treatment plant in Florida that supplies water to a large population.
Security Risks Lay In IoT Devices
Internet of Things (IoT) is a set of technologies that enables the physical world to be linked to the digital world. Information is collected from what happens in the physical world through sensors, actuators, and other so-called IoT devices and processed digitally afterward. Making an analogy with the human body, IoT is the sense of the digital world and the first step towards digital transformation for many industrial companies that seek to transform their business model by digitizing processes and exploiting data.
Continue reading: https://www.iotforall.com/iot-security-how-to-protect-edge-devices-to-minimise-cyberattacks

Edge computing vs fog computing is becoming a frequent discussion as cloud computing gains popularity and people rely on more Internet of Things (IoT) devices. Both technologies have significantly changed IoT data processing possibilities for cloud computing clients.
Here’s an explanation of how edge and fog computing differ, and how they complement each other.
Read more: Top Edge Computing Companies for 2021
What Is the Difference Between Edge Computing and Fog Computing?
Edge computing and fog computing allow processing data within a local network rather than sending it to the cloud. That benefit decreases latency and increases security. The main difference between the two is processing location.
With edge computing, data processing typically occurs directly on a sensor-equipped product that collects the information or a gateway device physically close to those sensors.
Continue reading: https://www.cioinsight.com/infrastructure/edge-computing-vs-fog-computing/

A drone is simplistically an unmanned aircraft. That’s the reason we call them unmanned aerial vehicles (UAVs) or unmanned aircraft systems (UASes). We can also introduce it as a flying robot controlled remotely or autonomously by software-controlled flight plans.
It’s cooperating with GPS systems and onboard sensors in order not to confuse their way of the flight. Drones are often associated with the military because they are able to help in actions that the army is obligated to conduct. The military drone market is three times larger than the consumer market.
Drones like Prometheus are a revolutionary invention that can save lives by dropping eg. a first aid kit or lifebuoy. These flying machines are also used in the fields such as fuel sector, energetics sector, agriculture, forestry, infrastructure, air transport, protection of national borders, protection of the environment, mass event organization, public administration and many more.
Surveyors also use drones for their work. They take measurements for mapping, creating land inventories and describing landforms. Furthermore, it can help saving the earth in a lot of ways. For example, Google donated $5 million to a program using drones to track poachers in Africa and Asia.
Continue reading: https://www.latestly.com/lifestyle/how-drones-are-changing-the-world-2897483.html

As I have written here, there is widespread bipartisan support for radically improving the nation’s ability to take advantage of artificial intelligence (AI). For the Intelligence Community (IC), that means using AI to more quickly, easily, and accurately analyze increasing volumes of data to produce critical foreign intelligence that can warn of and help defuse national security threats, among other things. To do that, the IC will have to partner closely with the private sector, where significant AI development occurs. But despite the billions of dollars that may ultimately flow toward this goal, there are basic hurdles the IC still must overcome to successfully transition and integrate AI into the community at speed and scale.
Among the top hurdles are the U.S. government’s slow, inflexible, and complex budget and acquisition processes. The IC’s rigid budget process follows the standard three-year cycle for the government, which means it takes years to incorporate a new program and requires confident forecasting of the future. Once a program overcomes the necessary hurdles to be included in a budget, it must follow a complex sequence of regulations to issue and manage a contract for the actual goods or services needed. These budget and acquisition processes are often considered separately as they are distinct, but I treat them together because they are closely related and inextricably intertwined in terms of the government’s purchasing of technology.
Importantly, these processes were not intended to obstruct progress; they were designed to ensure cautious and responsible spending, and for good reason. Congress, with its power of the purse, and the Office of Management and Budget (OMB), as the executive branch’s chief budget authority, have the solemn duty to ensure wise and careful use of taxpayer dollars. And their roles in this regard are vital to the U.S. government’s ability to function.
Continue reading: https://www.justsecurity.org/78362/artificial-intelligence-in-the-intelligence-community-the-tangled-web-of-budget-acquisition/

The impact of Artificial Intelligence (AI) on the world will extend far beyond narrow national security applications. Federal officials spoke about moving beyond those narrow AI applications to gain strategic advantage and the importance of justified trust when deploying AI systems on September 27, during a webinar hosted by the Software Engineering Institute at Carnegie Mellon University.
AI systems must be developed and fielded with justified confidence, according to a 2021 report by the National Security Commission on AI (NSCAI). Suppose AI systems do not work as designed or are unpredictable in ways that can have significant negative consequences. In that case, leaders will not adopt them, operators will not use them, Congress will not fund them, and the American people will not support them. As part of the report, the Commission produced a detailed framework highlighting five issue areas and recommendations to guide AI’s responsible development and fielding across the national security community.
“We recognize that establishing justified confidence in AI system is the critical issue in seeing AI systems deployed widespread. And for that, we need robust and reliable AI, testing evaluation verification and validation, we need leadership among the different institutions that will be deploying the AI, we need rules of the road in accountability in governance, and we also need to develop patterns for human and AI interaction and teaming is a very critical point,” Dr. Steve Chien, Commissioner at the NSCAI, said.
Continue reading: https://www.meritalk.com/articles/feds-offer-recommendations-on-scaling-ai/

Imaging stakeholders have written plenty about the promise of artificial intelligence but not much on how to integrate AI solutions into daily clinical practice. Experts with University Hospitals are attempting to fill the void, detailing their own implementation experience on Tuesday in the Journal of the American College of Radiology.
The Cleveland-based institution recently acquired an AI-powered X-ray scanner with a U.S. Food and Drug Administration-cleared algorithm for detecting collapsed lungs. After going live in July 2020, University Hospitals is now sharing its success story for those just beginning to test the waters.
“Development of an AI algorithm capable of identifying clinical findings on diagnostic imaging represents an impressive feat, but by itself offers limited value to healthcare professionals,” Jonathan Pierce, MD, a radiology resident, and colleagues wrote. “The true value of a technology of this kind relates to how quickly it can be integrated into clinical practice and leveraged to improve key metrics such as turnaround time.”
Pierce and colleagues finished installing the AI algorithm around December 2019. They recommend six steps to take when integrating the tool into radiologists’ regular work:
Continue reading: https://www.radiologybusiness.com/topics/imaging-informatics/integrating-ai-solution-clinical-practice

Amazon is preparing to roll out a trio of new features that will allow consumers to further personalize their Alexa experience by helping train the Alexa AI using simple tools. In a few months’ time, consumers will be able to teach Alexa to do things like identifying specific sounds in their household, such as a ringing doorbell or instant pot’s chime, for example. Or, for Ring users, the AI could notice when something has visually changed — like when a door that’s meant to be closed is now standing open. Plus, consumers will be able to more explicitly direct Alexa to adjust to their personal preferences around things like favorite sports teams, preferred weather app or food preferences.
The features were introduced today at Amazon’s fall event, where the company is announcing its latest Echo devices and other new hardware.
The new sound-identifying feature builds on something Alexa already offers, called Alexa Guard. This feature can identify certain sounds — like glass breaking or a fire or carbon monoxide alarm — which can be helpful for people who are away from home or for those who are hard of hearing or deaf, as it helps them to know there is a potential emergency taking place. With an upgraded subscription, consumers can even play the sound of a barking dog when a smart camera detects motion outside.
Now, Amazon is thinking of how Alexa’s sound detection capability could be used for things that aren’t necessarily emergencies.
Continue reading: https://techcrunch.com/2021/09/28/alexas-new-features-will-let-users-personalize-the-a-i-to-their-own-needs/

At the recent Zoomtopia event, the company touted its ability to power digital healthcare and financial services.
Zoom already integrates with popular electronic health record (EHR) systems, such as Epic. This allowed the company to quickly shift to telehealth at the start of COVID-19. People were comfortable using Zoom to video chat with family, friends, and co-workers, so the transition was fairly seamless when it came to delivering virtual care to patients via Zoom, Bill Shickolovich, the company’s CIO advisor of healthcare, said during a keynote address at the Zoomtopia event.
While doctors have returned to taking in-person visits, patients want to maintain some aspect of convenience with remote care. This means healthcare organizations must rethink how and why they’re offering care to patients. Some questions to consider, according to Shickolovich, is the visit needed for diagnostic purposes? Is it a follow-up? Is it a clinical assessment that can’t be virtualized? Is it a meeting with a care coordinator?
“We need to push digital transformation forward in healthcare. We need to consider the communication needs within the care continuum and determine where the opportunity is to enhance the engagement,” Heidi West, head of healthcare at Zoom, said during the keynote, which focused on Zoom’s vision for healthcare as the world adjusts to a new normal.
Continue reading: https://www.eweek.com/cloud/zoomtopia-2021/

Self-checkout systems have evolved rapidly over the past decade. Early systems did not have the sophisticated intelligence that today’s self-checkout technology offers. Retailers who are using self-checkout systems or are considering moving to customer self-checkout convenience should investigate the available solutions carefully.
To better understand today’s self-checkout technology, LPM asked Subramanian Kunchithapatham, vice president of engineering at Sensormatic Solutions, to explain how artificial intelligence (AI) helps retailers provide a better customer experience while helping prevent loss. To read a more in-depth discussion, download the LPM whitepaper “Navigating a Profitable Path on the Journey to a Cashierless Future.”
How have self-checkout systems incorporated artificial intelligence and what are the benefits of AI?
Artificial intelligence has become a critical component of loss prevention in self-checkout technology. Incorporated into the video and scanning systems, AI allows retailers to collect insights into the self-checkout process to predict patterns, identify frictions in checkout, and better understand how theft occurs. AI systems in self-checkout kiosks can detect anomalies in a customer checkout, flag suspicious transactions, and alert staff to suspected shoplifting in progress.
Continue reading: https://losspreventionmedia.com/how-ai-helps-retailers-manage-self-checkout-accuracy-and-loss/

In an effort to help prevent job site incidents and accidents that can result in serious injuries and costly property damage, Zyter, Inc., Zurich North America, Qualcomm Technologies, Inc., Everguard.ai, and Rudolph Libbe Group (RLG) are collaborating to advance the use of AI-based Internet of Things (IoT) technologies to enhance construction safety.
The five companies are bringing together best-in-class technologies and risk knowledge to provide construction managers with a 360-degree view of construction sites and real-time alerts regarding workers’ adherence to safety regulations. The collaboration represents the next step forward in propelling construction safety from a reactive to a proactive approach.
Zyter’s SmartSpaces™ platform, analytics, and front-end dashboard is being integrated with Everguard’s Sentri360® AI platform, made possible through the Qualcomm® Smart Cities Accelerator Program and Qualcomm® IoT Services Suite. RLG, a provider of construction and facility services, will beta test the collaborative solution at one of its job sites, beginning this month. RLG’s insurance provider, Zurich North America, will monitor the impact and evaluate the solution for use with other construction customers.
“This collaboration takes best practices for construction site management and worker safety to a new level,” said Sanjay Govil, founder and CEO of Zyter, Inc. “Together we are making worker safety more manageable for the construction industry by delivering improved visibility across an entire worksite.”
Continue reading: https://facilityexecutive.com/2021/09/ai-based-iot-technologies-enhance-construction-safety/

Two Black women inventors are being recognized for their landmark inventions which have helped advance technology in healthcare and even how many of us work from home.
Engineer Marian Croak, who currently leads Google's Research Center for Responsible AI and Human Centered Technology, and the late Dr. Patricia Bath are among the 2022 inductees for the National Inventors Hall of Fame.
The nonprofit organization announced these history-making women's honor last week.The two will join 29 others being inducted in the next cohort.
Croak and Bath are the first Black women inventors to be inducted into the Hall of Fame in its nearly 50-year history.
"Innovations drives the worldwide economy forward and improves our quality of life. This is especially apparent given what we have experienced in the past 18 months," Michael Oister, the Hall of Fame's CEO, said in a statement, per NPR.
Continue reading: https://jamn1075.iheart.com/content/2021-09-28-these-two-black-women-make-history-as-inventors-hall-of-fame-inductees/

Today’s Woman in Tech: Dr. Anna Hilsmann, group leader “Computer Vision & Graphics” at the Fraunhofer Heinrich Hertz Institute (HHI) in Berlin
Dr. Anna Hilsmann is one of Germany’s leading researchers in the field of “Computer Vision and Computer Graphics”. In her research, she combines methods from the fields of machine learning, computer vision, computer graphics and visual computing to develop new solutions for a wide range of applications in multimedia, industry, augmented reality, security and medical technology. At Fraunhofer HHI Anna Hilsmann heads the department “Computer Vision and Graphics”. In 2016 she was awarded the ARD/ZDF “Women & Media Technology” prize. She was Google Anita Borg Scholar and received the VBKI Science Award for her dissertation in 2015.
When did you become interested in technology?
I always had a great interest in mathematics, at first less in really technical things. My father is a mathematician and already during my school years, we solved mathematical puzzles at dinner. Good math teachers certainly played a big role as well. When I was eight years old, one of my closest friends fell ill with a tumor and received a very advanced prosthetic leg. At that time I really wanted to become a prosthesis manufacturer and thought about how prostheses could be controlled by nerve signals.
Continue reading: https://jaxenter.com/women-in-tech-hilsmann-172959.html

The pandemic has caused women’s participation in the workforce to drop across industries, and tech is no exception. Women make up 26.7% of technologists — a 2.1% drop in representation from March 2020 and a reverse after five years of progress, according to a new report from AnitaB.org, a global non-profit focused on intersectional gender and pay parity in tech.
But throughout the pandemic, several employers have stood out in their work to help women reach parity in their technologist workforce.
AnitaB.org’s 2021 Top Companies for Women Technologists report measures data from 56 tech companies and more than 552,000 technologists between January and December 2020. Organizations are scored based on career level representation of women, as well as hiring, retention and promotion of women.
Additionally, the survey considers each employer’s policies and programs that support intersectional gender parity within their workforce, including transparency and accountability, equitable hiring, caregiving support, pay equity, leadership and advancement, inclusion, and flexible work policies.
Continue reading: https://www.cnbc.com/2021/09/28/anitaborg-womens-representation-in-tech-is-down-during-the-pandemic.html

BT has already made it clear that it expects drones to support many commercial applications in future, with support from the 4G and 5G networks it acquired through its purchase of mobile operator EE.
For example, the operator is leading Project XCelerate, a consortium project that seeks to establish the UK's first commercial drone corridor in open and unrestricted airspace to prove that drones and manned, old-school aviation can safely co-exist.
BT is also engaging in drone trials with enterprises on an individual level, with a recent focus on British ports after it teamed up with Associated British Ports (ABP).
The operator has just announced an automated drone trial at the Port of Southampton in partnership with ABP and RoboK – a venture capital-backed Cambridge University spin-out that says it is building artificial intelligence (AI)-based computer vision algorithms for low-power computing platforms.
The trial demonstrated a drone flying over the port's vehicle inventory lot, with images captured and fed into an AI-supported system to track and analyze vehicle occupancy levels.
Continue reading: https://www.lightreading.com/aiautomation/bt-trumpets-drone-trial-at-uk-port-but-without-5g/d/d-id/772350

Governor Kathy Hochul today announced the MITRE Engenuity Open Generation 5G Consortium will bring 5G to the New York State 50-mile unmanned aircraft systems corridor between Syracuse and Rome. Open Generation has determined this corridor is a prime location to launch the nation's first 5G unmanned aircraft systems testing range, a designation that will greatly enhance New York's position as a global leader in this emerging technology sector. 
"Our drone corridor being selected for the launch of the nation's first 5G unmanned aircraft systems testing range further positions our state -specifically the Central New York and the Mohawk Valley region -as the global leader in the market for this cutting-edge technology," Governor Hochul said. "Through our continued investment in the drone corridor, we are strengthening and growing our regional economies for generations to come." 
NUAIR, a New York-based nonprofit organization that provides expertise in unmanned aircraft systems and is a member of Open Generation, manages New York's 50-mile unmanned aircraft systems corridor and is playing a vital role in advancing 5G innovation in unmanned aircraft systems, also known as UAS. With coordination from NUAIR, the corridor will include an experimentation hub with more than 100 square miles dedicated to 5G beyond-visual-line-of-site testing and long-range flight paths -a capability critical to the commercialization of safe and secure unmanned aircraft systems. 
Continue reading: https://www.governor.ny.gov/news/governor-hochul-announces-new-yorks-50-mile-drone-corridor-host-first-nation-5g-test-network

When we founded Skyward, our commercial drone company, back in 2012, we faced a fundamental problem: At the time, it was illegal to actually fly drones for commercial purposes anywhere in the US.
While staking your entire business proposition on something that’s banned by law is not normally a best practice, we did it anyway, for a very simple reason. We believed that commercial use of drones would soon become legal, and that it would transform the way entire sectors do business.
Early on, we predicted that this transformation would come about as we connected drones to increasingly powerful wireless communications networks. With such connectivity, drones would be able to do far more than just fly up high and send back a camera feed to the user on the ground below. They could be controlled from anywhere, collect rich data, transmit the results anywhere in the world — and intelligently integrate with all the other drones, helicopters, and planes in the sky.
The legalization part got cleared up soon enough; in 2016, the Federal Aviation Administration (FAA) approved drones for commercial use. Since then, drones have indeed become vital assets in several industries, including energy, construction, surveying, and telecommunications.
But one piece has remained missing — cellular connectivity. Among all those drones that have been buzzing above building sites and inspecting infrastructure in recent years, virtually none of them have been connected to a wireless network. That’s all about to change.
Continue reading: https://www.verizon.com/about/news/era-cellular-connected-drone-has-arrived