Artificial intelligence (AI) has captivated the imagination of science-fiction movie audiences for many years and has been used in the upstream oil and gas industry for more than a decade (Mohaghegh 2005, 2011). But few industries evolve more quickly than those from Silicon Valley, and it accordingly follows that the technology has grown and changed considerably since this discussion began. The oil and gas industry, therefore, is at a point where it would be prudent to take stock of what has been achieved with AI in the sector, to provide a sober assessment of what has delivered value and what has not among the myriad implementations made so far, and to figure out how best to leverage this technology in the future in light of these learnings.

When one looks at the long arc of AI in the oil and gas industry, a few important truths emerge. First among these is the fact that not all AI is the same. There is a spectrum of technological sophistication. Hollywood and the media have always been fascinated by the idea of artificial superintelligence and general intelligence systems capable of mimicking the actions and behaviors of real people. Those kinds of systems would have the ability to learn, perceive, understand, and function in human-like ways (Joshi 2019). As alluring as these types of AI are, however, they bear little resemblance to what actually has been delivered to the upstream industry. Instead, we mostly have seen much less ambitious narrow AI applications that very capably handle a specific task, such as quickly digesting thousands of pages of historical reports (Kimbleton and Matson 2018), detecting potential failures in progressive cavity pumps (Jacobs 2018), predicting oil and gas exports (Windarto et al. 2017), offering improvements for reservoir models (Mohaghegh 2011), or estimating oil-recovery factors (Mahmoud et al. 2019).

View post:
Artificial Intelligence in the E&P Industry: What Have We Learned So Far and Where to Next? - Journal of Petroleum Technology

Mumbai, 4 Jan 2020: Covestro is driving forward the use of artificial intelligence (AI) in the company as well as throughout the entire chemical industry. As part of these efforts, the Leverkusen-based materials manufacturer is conducting several pilot projects across different divisions to investigate how digital technologies can make processes more efficient and sustainable.

With the help of artificial intelligence, we will be able to find digital solutions across departmental boundaries in the future that were not possible before. This opens up completely new possibilities to achieve greater sustainability with improved resource utilization and thus to serve the needs of our customers even more precisely, says Sucheta Govil, Chief Commercial Officer of Covestro.

Pilot projects put the use of AI to the test

At its Dormagen production site, Covestro is testing how the manufacturing process for polyesters can be optimized. Polyesters are needed for the production of polyurethanes. The use of artificial intelligence in the processing of the companys comprehensive process data is intended to create free production capacities and minimize energy consumption. Digital technologies are also used in Dormagen and at the Leverkusen and Krefeld-Uerdingen sites to predict the peak steam consumption of production plants. In this way, energy consumption and costs can be reduced in the long term.

Another project deals with the digital customer experience. Machine learning is used to help to identify potential customers for Covestro at all digital touchpoints on the Internet and social media. The aim is to win them over as customers in the long term through consultation and information. Artificial intelligence will also be used in Covestros purchasing department in the future. Faulty invoices can then be identified with less effort, making the invoicing acknowledgment process much more efficient.

Utilizing data science for more intelligent production

AI is a fascinating opportunity for Covestro worldwide. The ongoing projects show that data and its proper use not only make the entire industry smarter and faster but can also contribute to the bottom line, says Nils Janus, Head of Advanced Analytics at Covestro. To make optimum use of data-based findings in the future, the materials manufacturer has developed the Covestro Analytics Platform (CAP), a platform for data scientists. It collects raw data from production plants, research results, and business processes and supplements it with external databases to perform analyses and train machine learning models. In this way, Covestro is taking another important step towards digitalization and data-driven business management.

More here:
Artificial Intelligence To Make The Chemical Industry Faster And Smarter - Punekar News

This versatile composition of research derivatives pertaining to diverse concurrent developments in the global Artificial Intelligence for Healthcare Applications market is poised to induce forward-looking perspectives favoring unfaltering growth stance.

Global Artificial Intelligence for Healthcare Applications market research report is a highly intelligent reference guide that is equipped with meticulous research output to derive accurate and optimum understanding on market growth synopsis in terms of value and volume. The report is a top-down assessment of all major touchpoints on the market and includes an elaborate vendor profile comprising emerging competitors as well as dominant market players aiming for lucrative break in the competition domain. Internationally acknowledged research practices such as SWOT analysis and PESTEL analysis have also been roped in the report with relevant details on revenue generation trends as well as technological innovations witnessing ample investments.

Competitor Profiling: Global Artificial Intelligence for Healthcare Applications Market

In the competition spectrum section of this report, readers are offered decisive understanding on frontline players and the overall competition intensity concerning the market has also been highly discussed in the report. Details pertaining to market share, revenue generation tendencies, product innovations as well as corporate collaborations such as M&A developments have been highly discussed in the report.

The report is also highlighting versatile details on the impact of COVID-19 implications on growth progression. Owing to devastating outcome of the global pandemic, this research report has incorporated pandemic management details in the report as well to encourage appropriate business decisions in global Artificial Intelligence for Healthcare Applications market.

We Have Recent Updates of Artificial Intelligence for Healthcare Applications Market in Sample [emailprotected] https://www.orbismarketreports.com/sample-request/91657?utm_source=Puja

This report on global Artificial Intelligence for Healthcare Applications market also extends versatile details on various elements such as product type and applications. Additional details on geographical expanse and regional diversification have also been highlighted in the report. With these information attributes, inquisitive market participants can derive logical insights, crucial to deliver growth specific investment decisions.

Analysis by Type: This section of the report includes factual details pertaining to the most lucrative segment harnessing revenue maximization.

Analysis by Application: Further in the subsequent sections of the report, research analysts have rendered precise judgement regarding the various applications that the Artificial Intelligence for Healthcare Applications market mediates for superlative end-user benefits.

Browse Full Report with Facts and Figures of Artificial Intelligence for Healthcare Applications Market Report at @ https://www.orbismarketreports.com/global-artificial-intelligence-for-healthcare-applications-market-growth-analysis-by-trends-and-forecast-2019-2025?utm_source=Puja

Global Artificial Intelligence for Healthcare Applications Market Report Indicators: Points to Consider Competition Analysis: A critical analytical assessment of frontline players and a detailed overview of the entire competition gamut has been one of the prime focal points of this research study. A critical evaluation inclusive also of a detailed SWOT analysis of the mentioned players has been included in the report for the superlative business outcomes. The Global Artificial Intelligence for Healthcare Applications Market report includes detailed assessment of revenue generation trends, capacity milestones, production and consumption patterns as well as gross margin and sales developments have been intricately discussed in this report for high end returns.

Regional and Global Market Outlook: The report in its subsequent sections also encompasses veritable insights on region specific market performance. Further details in the report shed light on prominent growth hubs as well as vendor manufacturing and promotional activities across countries and regions that influence customer response. Details about import and export performance as well as production and consumption trends have also been discussed at length in the report.

Market Segmentation: The report in its subsequent sections also elaborates on various segment-wise performance in catapulting high revenue growth. Each of the segment specified in the report allows readers to identify the highest potential market segment triggering revenue maximization.

Regional Analysis North America (U.S., Canada, Mexico) Europe (U.K., France, Germany, Spain, Italy, Central & Eastern Europe, CIS) Asia Pacific (China, Japan, South Korea, ASEAN, India, Rest of Asia Pacific) Latin America (Brazil, Rest of L.A.) Middle East and Africa (Turkey, GCC, Rest of Middle East)

Do You Have Any Query or Specific Requirement? Ask Our Industry [emailprotected] https://www.orbismarketreports.com/enquiry-before-buying/91657?utm_source=Puja

Report Investment Guide: The report is an ideal ready-to-refer documentation on changing dynamics in competition terrain Versatile details pertaining to core business planning, strategy enhancements and pricing mix assessment have also been widely elaborated in this high-end research report on global Artificial Intelligence for Healthcare Applications market. The report is a highly reliable documentation depicting details on trend assessment and crucial alterations in the competitive landscape Extensive detailing of DROT assessment has also been included in the report to influence analytical understanding and strategic decision making. The competition spectrum has also been evaluated to identify frontline players, contributing players as well as their strategy delivery schemes to harness revenue diversification. Details on product-based developments, geographical and facility expansion nuances besides technological milestones have been elaborated in this report to influence remunerative decisions amongst leading players and contributing ones across local and global planes

About Us : With unfailing market gauging skills, has been excelling in curating tailored business intelligence data across industry verticals. Constantly thriving to expand our skill development, our strength lies in dedicated intellectuals with dynamic problem solving intent, ever willing to mold boundaries to scale heights in market interpretation.

Contact Us : Hector CostelloSenior Manager Client Engagements4144N Central Expressway,Suite 600, Dallas,Texas 75204, U.S.A.Phone No.: USA: +1 (972)-362-8199 | IND: +91 895 659 5155

https://farmingsector.co.uk/

Read more:
Global Artificial Intelligence for Healthcare Applications Market Growth Rate and Opportunities By 2025 With COVID-19 Outbreak, Top Players: Intel,...

December 17, 2020 -While cancer obviously takes a momentous physical toll on the body, the disease can have dire effects on a persons mental health as well a trend that has only grown more common with the spread of COVID-19.

A recent survey revealed that 50.7 percent of cancer patients had symptoms of anxiety during the pandemic, while 46.8 precent reported having depression. People with cancer are also feeling the economic impact of coronavirus: In a separate study, 38 percent of patients said the pandemic has had negative consequences on their financial situation, hindering their ability to pay for care.

At the Center for Cancer and Blood Disorders in Texas, providers understood that improving cancer outcomes would require a comprehensive view of patient health.

We realized very quickly that if we were going to successfully control costs and provide high-quality healthcare for cancer patients, we would have to risk manage our patients, Ray Page, PhD, an oncologist and hematologist at the Center for Cancer and Blood Disorders in Forth Worth and Weatherford, told HealthITAnalytics.

It's mandatory that we identify our most vulnerable patients the ones that are most likely to get sick and have adverse outcomes to better manage them.

READ MORE: Over 80% of Health Execs Have Artificial Intelligence Plans in Place

In order to better understand which patients were at risk and why, the organization leveraged a clinical artificial intelligence solution from Jvion that examines individuals clinical and socioeconomic factors.

We identified seven different vectors, two that we consider high risk vectors, said Page.

We wanted to see if we could stratify those risks of the thousands of patients in our practice and anticipate which ones would deteriorate in the next six months: who would get depression, who would end up in the hospital or emergency room, who would experience an increase in pain that would require drugs, or who would die.

By stratifying patients into those risk categories, Page and his colleagues are able to use the resources available to them to better manage patient care and improve outcomes. Providers can refer patients to relevant clinical and non-clinical services, Page noted.

We have caseworkers that review and identify all these high-risk patients, who make sure that these patients are doing well and offer patients the opportunity to use our ancillary services, he said.

READ MORE: Artificial Intelligence Method Builds in Error for Better Models

But we also have a patient navigator, a social worker, a nutritionist, on-site rehabilitation, and pre-rehabilitation for people that are getting prepared for their chemo and radiation. We have a psychologist, we have a pain doctor, and we have an acupuncturist. With this AI tool, we can plug those people into the service lines that are most needed for them.

The entity also has practices in place that helped ensure the seamless integration of the tool.

Our physician board has, in essence, pre-prescribed orders. If we have a case worker or a case manager that identifies one of our patients as being high risk in a certain vector, an automatic consult occurs, Page explained.

A physician doesn't have to make that call; it's already a standing order. That makes the whole clinical workflow and the clinical process smoother and easier.

The platform can provide clinicians with information they may not otherwise be able to discover during visits with patients, Page stated.

READ MORE: Study Uses Artificial Intelligence for Alzheimers Drug Development

As a busy doctor, where you're seeing 30 patients a day and they're all very sick, you're squeezed for your time with the patients. You may get seven to ten minutes of face-to-face time with the patient. Most of that face-to-face time is dealing with clinical issues, like nausea, vomiting, pain, cancer progression, and the next phase of chemotherapy. And then you're moving on to the next patient, he said.

We don't really have the opportunity to talk about what their life situation is, their nutritional issues, or how theyre getting their bills paid. There is no way that a clinician can vet that.

With the help of AI and advanced analytics, providers can get a more holistic view of patient health, and use that information to better meet patients needs.

If you have an AI tool that is analyzing at least 4,000 of those relational social determinants of health, it can help the clinician become aware of any non-clinical challenges that their patients may be facing. It becomes a great additive tool, and it can allow us to go way beyond what we typically have time for as providers, Page said.

In order to get the best outcomes in cancer, and to help patients get the best benefits from their therapy, you've got to optimize their health as much as possible. This AI solution enables us to use the appropriate resources in our organization to make our patients healthier and happier.

Although the technology can help enhance the capabilities of clinicians, Page emphasized that the tool doesnt eliminate all of the challenges that can come with being human.

These AI tools learn very fast with feedback and by following trends and patients over time. A supercomputer or a powerful machine that has analyzed all these data elements can learn much quicker than humans do, he said.

However, this is a learning process. Even when we identify patients that are at high risk of having adverse outcomes, and we throw every resource known to man to make their situation better, sometimes you still have a patient that doesn't want to modify their behaviors or they don't want resist pain. You're still dealing with humans and the human condition.

With consistent development and refinement, Page stated that AI solutions will become more widespread throughout the field of oncology.

As we learn and become more efficient with these tools, and we start analyzing more real-world data, the technology is going to continue to be integrated into cancer centers and clinics, he concluded.

AI will optimize outcomes and make cancer-related outcomes better for everybody. Tools like these allow us to proactively identify patients that are depressed, and approach and manage them so they can have the best mental state as they're dealing with their cancer.

See the article here:
Delivering Proactive Mental Healthcare With Artificial Intelligence - HealthITAnalytics.com

Spin To Bring Sidewalk Riding and Parking Detection Technology to Cities Across the United States and United Kingdom

Spin Insight Level 2, powered by Drover AI's groundbreaking computer vision and machine learning platform, equips Spin's vehicles with a camera, an array of sensors, and on-board computing power. By leveraging powerful Artificial Intelligence (AI) tools, Drover's technology is highly adaptive and easily scaled to new environments, allowing an e-scooter to understand its surroundings in real time and assist riders in making safe riding decisions.

This week, Spin included Spin Insight Level 2 in a proposal for the first time as part of the e-scooter permit application for New York City. If Spin is awarded a permit in New York City, the City will receive the first large-scale deployment of Spin's sidewalk riding and improper parking solution starting in the Spring.

"Spin is proud of its record of collaboration with cities to develop solutions that benefit their citizens. We are excited to partner with Drover, who have proven to have the best-in-class micromobility AI technology, to power Spin Insight. This is Spin's latest step in building trust in e-scooters among consumers and cities by enabling technology that creates a safer riding experience for riders and pedestrians. With nearly all municipalities prohibiting scooter use on sidewalks, Spin Insight data in combination with Spin's in-app mapping technology that enables riders to find routes that maximize bike lane use can be used as a key tool by cities to help enforce local regulations and promote safe riding behaviors in dense, urban environments like New York City," said Derrick Ko, Chief Executive Officer at Spin.

Additionally, the technology will enable Spin to share accurate insights with cities about the prevalence and location of sidewalk riding and bike lane riding, which can be used to identify potential congestion issues and road damage and highlight areas that may benefit from infrastructure improvements.

Akin to advanced driver assistance systems (ADAS) that use on-board sensors to help automobile drivers park, brake, and stay in their lanes, Spin Insight Level 2 has the ability to combine the latest in sensor and artificial intelligence technologies to enable local regulation compliance enforcement and create a safer experience for riders and pedestrians. "We are building the ADAS for micromobility. Spin Insight Level 2 is designed to create a safer riding experience, with the potential to unlock everything from slowing speeds on sidewalks to forward-collision warnings." said Derrick Ko, Chief Executive Officer at Spin.

"In a unique approach, Drover's use of edge-based machine learning produces a highly nimble and scalable solution that doesn't depend on availability of GPS, ground truth information or network-based validations. We are very excited to be working with Spin in this effort to deploy Drover's AI-powered technology in the rapidly evolving micromobility space with the ultimate goal of ensuring safe, responsible and compliant deployments for all stakeholders in cities," said Christian Scheder-Bieschin, Co-founder & Chief Executive Officer at Drover AI.

Spin will continue to build off of this technology and its Spin Insight platform to further enhance vehicle durability and safety. Future capabilities are planned to include ADAS-like features such as detecting wrong-way riding, adjusting vehicle speed based on riding conditions, and collision warnings.

To download the press kit containing visual assets, visit thislink.

Spin Insight

Spin Insight Level 1 Capabilities: TodaySpin Insight Level 1 capabilities were firstlaunched in 2017. This includes:

Spin Insight Level 2, Powered by Drover AI's PathPilot: Spring 2021Spin Insight Level 2 unlocks new capabilities including:

Future Levels

Dynamic control of top vehicle speed, including no-ride and slow-ride zone detection Virtual parking and no-parking zone support Tip over detection Theft and hacking deterrence, including: Unexpected behavior detection Wheels auto-locking and throttledeactivation Audio alarms Real time feedback from onboard sensors to monitor the health of critical vehicle elements, including but not limited to the battery voltage and temperature Battery Motor Control board systems And more

Real-time sidewalk riding detection triggering audible warnings for the rider and pedestrians nearby Real-time bike lane riding detection Real-time scooter/bike rack detection for proper parking validation Riding behavior and infrastructure insights to enforce local regulations and promote safer riding

Enhanced vehicle monitoring system for improved durability and lifespan, with machine learning (ML) based predictions Wrong-way riding detection system Forward collision detection system

About SpinHeadquartered in San Francisco, Spin is one of the leading micromobility companies and a unit of Ford Mobility. Spin has been recognized for launching the first stationless mobility program in the United States and was instrumental in crafting the world's first mobility permit system. As a trusted and reliable partner, Spin currently operates electric scooters in many cities and universities nationwide in the U.S. and Europe. Spin consists of a diverse team of experienced professionals from government and private sectors, and the transportation advocacy world, all of whom are committed to fulfilling the company's mission--giving people the freedom to move and bringing people, communities and their urban environment closer together. https://www.spin.app

About Drover AIDrover specializes in advanced AI-based IoT solutions for last-mile transportation designed to elevate the performance of fleets while exceeding the regulatory requirements of the cities that host them. Drover's product, PathPilot, delivers granular infrastructure distinction even in the absence of often unreliable GPS data allowing for unparalleled location awareness and the ability to take corresponding actions. Drover enables a safe and intelligent experience through technology in order to help ensure the long-term success of micromobility as a sustainable and integral part of urban transportation. For additional information, visitwww.drover.ai or email [emailprotected]

Spin Press ContactMaria BuczkowskiSenior Communications Manager[emailprotected]

SOURCE Spin

https://www.spin.app/

Go here to see the original:
Spin Announces Cutting Edge On-Vehicle Artificial Intelligence (AI) Platform To Bring Sidewalk Riding and Parking Detection Technology to Cities...

Artificial intelligence which is agricultures other AI and also referred to as deep learning or machine learning (ML) interacts with us every day. From Siri, to Alexa, to cars that help you drive and park, to algorithms that serve you ads, news, job and home listings, to suggestions for what music and news to listen to, its there. The goals of artificial intelligence include learning, reasoning, and perception the computer programs write themselves, get better the more data they are fed to learn from (co-called Big Data), and we dont really know how they do it.

Agriculture is one of the oldest and most important professions; worldwide it is a $5 trillion industry. The global population is expected to reach more than 9 billion by 2050, and agricultural production will need to more than double (70 percent) to fulfill the demand. Land, water, and resources are already becoming insufficient due to multiple economic, environmental, and sociological forces. A smarter, more efficient, and even more productive approach for the supply-demand chain is urgently needed.

Artificial intelligence technologies are poised to yield healthier crops, control pests, monitor soil, and growing conditions, organize data for farmers, help with the workload, and improve a wide range of agriculture-related tasks in the entire food supply chain. Internet of Things (IoT) technologies and advanced analytics help farmers analyze real time data like weather, temperature, moisture, prices, or GPS signals.

A few examples of AI- or ML-enabled technologies are:

Farmers are contributing to the development of these high-tech scientific accomplishments: collecting the big data to feed and train these AI models, and helping to prove drone and robot technology for precise cultivation for higher crop yield and better quality while using fewer resources for the betterment of the entire industry. It is estimated that farmers generate over 4.1 million data points per day, and have already deployed over 75 million Internet of Things (IoT) interconnected devices.

AI will allow farms of all sizes to meet the challenges of the 21st century and beyond.

Dr. Carol Lynn Curchoe is the founder of32ATPs, and is a scientist, teacher, consultant, advisor, and author. You canfind her on Twitter.

Original post:
Artificial intelligence is intertwined in precision agriculture - AGDAILY

AI isn't just for robotaxis.

Artificial intelligence technology is powering change across all industries, but its not always easy to separate the companies with truly transformative applications from marketing hype. Thats why Forbes annually compiles an annual list of the most promising startups emerging as leaders in this space.

Is AI central to what your company does, not just a driver for an auxiliary business or a tool to improve an existing product? We want to hear from you.

Nominations are now open for the third annual Forbes AI 50 list, which highlights private companies using artificial intelligence to solve difficult problems, create innovative services and effect positive change.

Read More: Americas Most Promising Artificial Intelligence Companies

Forbes, in partnership with Sequoia Capital, will evaluate hundreds of companies serving a range of industries and consider metrics including AI talent, revenue, growth and valuation. A panel of expert judges will also assess how innovative and essential AI is to each applicant companys business.

We welcome any U.S.-based (or Canadian) private company to apply by filling out this form. The deadline for submissions is Tuesday, January 19. (The number of nominations wont influence our selection, so stick to just one submission per company, please.)

We look forward to hearing from you!

From Los Angeles, the U.S. capitol of cars and congestion, I try to make sense of technology-driven changes reshaping how we get around. Find me on Twitter at

From Los Angeles, the U.S. capitol of cars and congestion, I try to make sense of technology-driven changes reshaping how we get around. Find me on Twitter at @alanohnsman

Read more:
Using Artificial Intelligence To Transform An Industry? Nominations For The 2021 AI 50 List Are Open - Forbes

This is a notification that the first release under this account has been submitted. Please follow up as appropriate.

Congressman Jim Banks (R-IN-3) agreed, warning, "The U.S. cannot afford to cede leadership in the technological arms race. If China surpassesus in a field like AI or quantum, it will have significant implications for U.S. national security, economic competitiveness, and way of life."

Luke McCormack, former Department Homeland Security CIO, led an engaging discussion onAI Applications for Good, while former Acting Commissioner of Customs and Border Protection, David Aguilar explored how AI and Edge Computing on the Frontlines is transforming the border mission. Dr. Reggie Brothers, CEO of NuWave Solutions and former Under Secretary for Science and Technology at the Department of Homeland Security directed an intriguing discussion on Achieving Security Outcomes through AI.

Speakers all agreed that the government is making progress in AI, but a more coordinated approach is needed, and that the government can learn from the more advanced capabilities and understanding of the private sector. "With AI we need a comprehensive, whole-of-government approach that leverages public-private partnerships to our greatest advantage," stated Congresswoman Robin Kelly (D-IL-2).

"The success of AI applications in government depends a great deal on security, data governance, clean data sets and an understanding of data sources," summarized Megan Mance, Executive Director of HSDF. "Leveraging cloud and storage innovations will help deliver AI capabilities to the mission operators on the front line."

Read the full report at https://www.hsdf.org

ABOUT EVENT ORGANIZERS:This event was hosted by the Center for Public Policy Innovation (CPPI) and the Homeland Security and Defense Forum (HSDF). CPPI is a 501(c)(3) not-for-profit think tank whose mission is to assist government officials in addressing the challenging issues brought on by the rapid advancement of Technology. HSDF's mission is to facilitate dialogue between the public and private sectors on homeland and national security issues.

Media Contact: Megan Mance[emailprotected]

SOURCE Homeland Security and Defense Forum

https://www.hsdf.org

See more here:
CPPI and HSDF Release Report from Virtual Symposium: Artificial Intelligence: Transforming the Government Mission - PRNewswire

NEW YORK, Dec. 17, 2020 /PRNewswire/ -- COVID-19 has been a major driver behind explosive technological advances this year as companies have focused on doing what they do best but even better. While some advancements have targeted saving lives, others have focused on saving livelihoods, as financial stability and security can be almost as important as health in today's world of emotional and economic fear and uncertainty. The pandemic has transformed the world in many ways, including bringing data collection and digital technologies to the forefront of a socially distanced world. With this in mind, Loop Insights Inc. (TSX.V: MTRX) (OTCQB: RACMF) (Profile) recently made history by offering the first-ever, end-to-end venue-tracing and management solution. A provider of contactless solutions and artificial intelligence aimed at driving automated marketing, venue management and tracing to the brick-and-mortar space, Loop made its mark as it created a "bubble" platform for NCAA basketball to take place in Nevada and Florida. Using Loop Insights' venue-tracing platform combined with revised safety protocol, numerous games were played over several days and in several venues without a single case of COVID-19 being reported. Data collection, automated marketing and other transformational technology is driving success for other industry movers and shakers as well. The cloud data platform Snowflake Inc. (NYSE: SNOW) recently announced a partnership with the state of California to deliver fast, frictionless public access to COVID-19 data via the Snowflake Data Marketplace. Automated marketing is key to Shopify Inc. (TSX:SHOP) (NYSE:SHOP), the leading multi-channel commerce platform that just unveiled the latest in commerce technology. Commerce is also at the heart of ads, one of the main services provided by Facebook Inc. (NASDAQ: FB). And in terms of sheer ability to manage and aggregate data, Nielsen N.V. (NYSE: NLSN) just announced plans to launch Nielsen One, a single, cross-media solution to drive more comparable and comprehensive metrics across platforms.

Click hereto view the custom infographic of the Loop Insights editorial.

A Bubble of Safety, Protection

Once reserved for the most sick and frail, a "bubble" means something different today than it ever has before. With the COVID-19 pandemic topping 16 million casesand the death count nearing 300,000, bubbles today are viewed as places of safety and protection for just about everyone, regardless of whether they are traveling, playing or watching sports, or even attending school or working at the office.

The idea of creating such a vast and complete bubble might seem unrealistic and financially prohibitive. However, real-world experience has proven otherwise. In an attempt to save its 2020 season, the NBA invested $150 million to create the "Disney World Bubble," which "recouped $1.5 billion in revenuethat might have been lost had the season ended when COVID-19 paused it on March 11. And no positive tests came out of the bubble among players, staff and media."After losing nearly $1 billionby scrapping its popular March Madness tournament this year, the NCAA is looking to avoid a repeat.

The Loop System

The NCAA has substantial proof that a bubble is effective after partnering with Loop Insights Inc. (TSX.V: MTRX) (OTCQB: RACMF)and its turnkey venue-tracing solution. The collegiate sports organization planned and put together the #VegasBubble in Nevada and the #BeachBubble in Florida during the 10 days of the basketball season, which included 11 NCAA Division 1 men's and women's teams.

An integral part of the plan was Loop's system, which included all the requisite hardware, software, rapid mobile testing and integrated lab results. All users have to do is register and receive a wallet pass on their mobile phones and then check in at designated contactless devices. After that, location-based beacons, GPS and Internet of Things (IoT) technology takes over.

The system is infinitely scalable and has proven high adoption rates compared to other apps because additional hardware or software isn't required. The system uses the mobile wallet that already exists on a user's mobile device. Loop uses this same near-field communication (NFC) technology backed by Apple and Google.

And in a world where personal information is paramount, all collected data is de-identified and securely stored in Loop's data portal where its artificial intelligence (AI) technology shares essential details such as movements, active users, occupancy levels, promotions and more. In addition, Loop' s real-time messaging keeps users up-to-date on critical information and alerts individuals who are at risk or in need of a COVID-19 rapid test.

Indisputable Data

The world has been devastated by COVID-19 in so many different ways. And while healthy is paramount, it has becoming increasingly evident that the ability to enjoy life and earn a living cannot be underestimated. With that in mind, the value of sports at all levels is rising. Teams, schools, leagues and ancillary businesses that depend on sports cannot afford to see seasons canceled. Loop and its partner, bdG Sports, one of the nation's leading content providers in college basketball programming, clearly proved that they don't have to be.

The two innovation leaders worked closely with the NCAA and host sites to identify best practices under new health and safety protocols and implement the first-ever, end-to-end COVID-19 venue solution in a live environment. Given the months-long dearth of live events, the ability to plan, attend and enjoy a wide range of sports events in almost unlimited venues holds almost irresistible allure. Certainly Loop's bubble success has garnered the company worldwide attention.

It's not an exaggeration to say that the whole world was watching to see if Loop's claims that its technology could protect players and staff throughout the week-plus of men's and women's Division I games would stand up. And as teams battled over the ball at MGM Grand Garden Arena, Mandalay Bay Events Center and T-Mobile Arena in Las Vegas and Hertz Arena and Alico Arena in Fort Meyers, Florida, Loop may have come out the clear winner.

The data is indisputable. Loop's system did not suffer any outages, and user experiences proved to be as seamless as anticipated. The #BeachBubble alone over seven days consisted of:

"[We] hit it out of the park," Loop reported, noting that its bubble solution "is nothing short of world-class." Armed with these successes and with few companies keeping up, Loop Insights is already in negotiations to re-open major sporting events from North America to Australia.

"Loop's venue bubble platform has provided us with the peace of mind to move forward with our return-to-play efforts in college basketball safely," said bdG Sports CEO Brooks Downing. In addition to safety and providing an aggregated report on activity via the Insights platform, companies obtain a competitive marketing edge because the data drives Loop's Engage platformto generate real-time targeted promotions to event attendees.

And protection and safety isn't the only thing Loop provided during the NCAA bubbles. In fact, the Loop system also provides sponsors with new revenue stream opportunities. The system also offers event sponsors the ability to add highly targeted promotions to Loop's venue-tracing wallet pass the perfect way to ensure that event attendees and participants see personalized promotions.

This innovative technology could mean the return of live sports, conventions, concerts and festivals. Loop recently partneredwith SimpliFlying, noting that discussions about possible uses have "significantly advanced" to offer travel bubbles with fully integrated rapid testing, tracing and notifications removing the need for mandated quarantines.

Technology, Data Come Together

Clearly the time has never been better for technology and data to come together, whether in the form of data collection, automated marketing or other transformational applications and uses. Other companies have clearly recognized the opportunity as well and are offering powerful products and services that meet compelling needs.

California has been using Snowflake Inc.'s (NYSE: SNOW) single, integrated cloud data platform to store and analyze a multitude of data sets, including the current number of COVID-19 cases across the state, total suspected cases, number of residents receiving treatment in a hospital ICU, available and in-use hospital beds and ventilators, and the demographics of COVID-19 patients. "The State of California's response to the COVID-19 emergency has been enhanced greatly by the ability to share, collaborate, and communicate data and information in new ways that are meaningful to health professionals and allied support entities during this crisis," said Scott Gregory, the state technology department's chief technology innovation officer.

Shopify Inc. (NYSE:SHOP) (TSX:SHOP)is transforming commerce by announcing platform enhancements and updatesfocused on giving direct-to-consumer brands everything they need to build and manage a business. According to the company, innovations include a newly updated Shopify Plus platform for enterprise brands, more global capabilities, and for the first time, Shopify is expanding its offering with a fulfillment network that will allow merchants of all sizes to deliver their products fast and at a low cost.

A huge portion of Facebook Inc.'s (NASDAQ: FB) revenue stems from its ads; the company's most recent financials for Q3 2020 show more than $21 billion in ad revenue. "We had a strong quarter as people and businesses continue to rely on our services to stay connected and create economic opportunity during these tough times," said Facebook founder and CEO Mark Zuckerberg, Facebook founder and CEO. "We continue to make significant investments in our products and hiring in order to deliver new and meaningful experiences for our community around the world."

And just last week Nielsen N.V. (NYSE: NLSN) announced its exclusive cross-media solution, calledNielsen ONE, also targeting connecting advertisers and consumers in an easier, faster approach. As audiences move seamlessly between linear, streaming and digital, advertisers are demanding a single, deduplicated view of their audience across all platforms and mediums, while publishers want to provide more ad options for buyers and improve the overall viewer experience, Nielsen explained. Nielsen One provides visibility into audiences by platform and unique demographic profiles of each publisher.

With all the huge strides that companies are taking in efforts to provide the world with stability and security, there's reason to look toward the future with optimism. The advancements taking place today will almost certainly continue to have widespread use and life-changing applications moving forward.

For more information about Loop Insights, please visit Loop Insights Inc. (TSX.V: MTRX) (OTCQB: RACMF).

About NetworkNewsWire

NetworkNewsWire("NNW") is a financial news and content distribution company, one of 50+ brands within the InvestorBrandNetwork("IBN"), that provides: (1) access to a network of wire solutions via NetworkWireto reach all target markets, industries and demographics in the most effective manner possible; (2) article and editorial syndication to 5,000+ news outlets; (3) enhanced press release solutions to ensure maximum impact; (4) social media distribution via IBN millions of social media followers; and (5) a full array of corporate communications solutions. As a multifaceted organization with an extensive team of contributing journalists and writers, NNW is uniquely positioned to best serve private and public companies that desire to reach a wide audience comprising investors, consumers, journalists and the general public. By cutting through the overload of information in today's market, NNW brings its clients unparalleled visibility, recognition and brand awareness. NNW is where news, content and information converge.

To receive SMS text alerts from NetworkNewsWire, text "STOCKS" to 77948 (U.S. Mobile Phones Only)

For more information, please visit: https://www.NetworkNewsWire.com

Please see full terms of use and disclaimers on the NetworkNewsWire website applicable to all content provided by NNW, wherever published or re-published:http://NNW.fm/Disclaimer

NetworkNewsWire is part of theInvestorBrandNetwork

DISCLAIMER: NetworkNewsWire (NNW) is the source of the Article and content set forth above. References to any issuer other than the profiled issuer are intended solely to identify industry participants and do not constitute an endorsement of any issuer and do not constitute a comparison to the profiled issuer. FN Media Group (FNM) is a third-party publisher and news dissemination service provider, which disseminates electronic information through multiple online media channels. FNM is NOT affiliated with NNW or any company mentioned herein. The commentary, views and opinions expressed in this release by NNW are solely those of NNW and are not shared by and do not reflect in any manner the views or opinions of FNM. Readers of this Article and content agree that they cannot and will not seek to hold liable NNW and FNM for any investment decisions by their readers or subscribers. NNW and FNM and their respective affiliated companies are a news dissemination and financial marketing solutions provider and are NOT registered broker-dealers/analysts/investment advisers, hold no investment licenses and may NOT sell, offer to sell or offer to buy any security.

The Article and content related to the profiled company represent the personal and subjective views of the Author, and are subject to change at any time without notice. The information provided in the Article and the content has been obtained from sources which the Author believes to be reliable. However, the Author has not independently verified or otherwise investigated all such information. None of the Author, NNW, FNM, or any of their respective affiliates, guarantee the accuracy or completeness of any such information. This Article and content are not, and should not be regarded as investment advice or as a recommendation regarding any particular security or course of action; readers are strongly urged to speak with their own investment advisor and review all of the profiled issuer's filings made with the Securities and Exchange Commission before making any investment decisions and should understand the risks associated with an investment in the profiled issuer's securities, including, but not limited to, the complete loss of your investment.

NNW & FNM HOLDS NO SHARES OF ANY COMPANY NAMED IN THIS RELEASE.

This release contains "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E the Securities Exchange Act of 1934, as amended and such forward-looking statements are made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. "Forward-looking statements" describe future expectations, plans, results, or strategies and are generally preceded by words such as "may", "future", "plan" or "planned", "will" or "should", "expected," "anticipates", "draft", "eventually" or "projected". You are cautioned that such statements are subject to a multitude of risks and uncertainties that could cause future circumstances, events, or results to differ materially from those projected in the forward-looking statements, including the risks that actual results may differ materially from those projected in the forward-looking statements as a result of various factors, and other risks identified in a company's annual report on Form 10-K or 10-KSB and other filings made by such company with the Securities and Exchange Commission. You should consider these factors in evaluating the forward-looking statements included herein, and not place undue reliance on such statements. The forward-looking statements in this release are made as of the date hereof and NNW and FNM undertake no obligation to update such statements.

Corporate Communications Contact:

NetworkNewsWire (NNW)New York, New Yorkwww.NetworkNewsWire.com 212.418.1217 Office[emailprotected]

Media Contact:

FN Media Group, LLC[emailprotected]+1-(954)345-0611

SOURCE NetworkNewsWire

Continue reading here:
Artificial Intelligence, Contactless Solutions Set to Provide Safety Protocols to Enable Reopening of Live Events in 2021 - PRNewswire

The great man theory holds that history is largely made by heroesbig, brawny, brainy dudes (always dudes) who reshape the future with brute force and brilliance. WIRED alum Alex Davies new book refutes that outdated theory. In Driven, Davies digs into the history of autonomous vehicles and the goofy, spirited cast of characters (still mostly dudes) who are working to shepherd the tech into existence. As Davies reveals, teamwork makes the dream work. Until it doesnt. Then the lawsuitsand in one engineers case, handcuffsfly.

Eventually, robot cars might reshape the way modern life works. Autonomous vehicles could be a $7 trillion business by 2050; today, multibillion-dollar companies like Alphabet, General Motors, Ford, and Tesla race to hammer out the kinks. But back at the opening of the century, AVs were an academic hobbyhorse. Then an obscure clause in a 2001 funding bill poured government money into developing robot tech. Just a few years later, Darpa held a literal robot race across the Mojave Desert. The kooky entrants are the same engineers banking millions at the worlds largest AV companies today. For many, the money was a nice incentive. But as one roboticist tells Davies, most are driven by the classic maker ethos: I sought something that would dent the world, that I could do with my own hands, that would happen in my time.

To paraphrase another visionary, the course of true engineering never did run smooth. Davies sharp narrative chronicles the personality clashes, philosophical divergences, funding crunches, and, in a shocking number of cases, troublesome wild creatures that get in robotics way. (A tip: When racing a robot across the desert, keep an eye out for the native tortoises, which will pee on you if you try to move them.) This is a book for anyone whos sick of the hero narrative, and who wants to learn about how the business of building world-shaking robots truly creaks along.Aarian Marshall

See more here:
The 8 Best Books About Artificial Intelligence to Read Now - WIRED