Latest news with #GooglePublicSector
Yahoo
16-05-2025
- Business
- Yahoo
Remark Holdings Collaborates with Google Public Sector to Accelerate Computer Vision AI Innovation in New York State
NEW YORK CITY, NY / / May 16, 2025 / Remark Holdings, Inc. (OTC PINK:MARK), a leading provider of AI-powered computer vision analytics, smart city, and smart agent solutions is proud to announce that Google Public Sector has selected our advanced computer-vision AI technology to power key public sector projects across New York. This collaboration is part of Google Public Sector's broader initiative to modernize government operations, enhance service delivery, and drive digital transformation across the state. Through a landmark two-year Enterprise Cloud Services Agreement with the New York State Office of Information Technology Services (ITS), Google Public Sector is providing state agencies with secure access to cutting-edge cloud and AI tools-including Remark's computer vision AI-to support data analytics, disaster recovery, and operational efficiency. By integrating our technology, Google Public Sector is enabling state employees to automate information retrieval, streamline workflows, and improve decision-making in critical areas such as infrastructure monitoring, public safety, and healthcare delivery. This partnership will: Enhance the state's ability to process and analyze visual data from diverse sources, improving response times and service quality. Support ongoing efforts to connect and integrate disparate systems, increasing efficiency and reducing costs. Provide training and support to ensure agencies maximize the benefits of AI-driven solutions. "By combining our computer vision AI with Google Public Sector's scale and reach, we are setting a new standard for how technology can transform public sector services - turning complex visual data into actionable insights for the people of New York State." said Kai-Shing Tao, Chairman and CEO of Remark Holdings, Inc. About Remark Holdings, Inc. Remark Holdings, Inc. (OTC: MARK) is a leading AI-powered analytics platform that brings valuable insights to the video feeds provided by current cameras and computer vision solutions through its integrated suite of AI tools that provide real-time alerts for fire, smoke, and weapons detection and smart city CCTV video security solutions while hosting AI-powered agents through smart chat 311 Services, as well as helping organizations understand their customer behavior and demographics through smart retail and traffic analytics. Remark's global team of sector-experienced professionals has created award-winning GDPR-compliant and CCPA-compliant video analytics solutions that service the aviation, government agencies, hospitality, public safety, retail, and transportation sectors. The company's headquarters are in Las Vegas, Nevada, USA, with operational offices in New York and international offices in London, England. For more information, please visit our home page at Forward-Looking Statements This press release may contain forward-looking statements, including information relating to future events, future financial performance, strategies, expectations, competitive environment, and regulations. Words such as "may," "should," "could," "would," "predicts," "potential," "continue," "expects," "anticipates," "future," "intends," "plans," "believes," "estimates," and similar expressions, as well as statements in the future tense, identify forward-looking statements. These statements involve known and unknown risks, uncertainties, and other factors, including those discussed in Part I, Item 1A. Risk Factors in Remark Holdings' Annual Report on Form 10-K and Remark Holdings' other filings with the SEC. Any forward-looking statements reflect Remark Holdings' current views with respect to future events, are based on assumptions, and are subject to risks and uncertainties. Given such uncertainties, you should not place undue reliance on any forward-looking statements, which represent Remark Holdings' estimates and assumptions only as of the date hereof. Except as required by law, Remark Holdings undertakes no obligation to update or revise publicly any forward-looking statements after the date hereof, whether as a result of new information, future events or otherwise. Company Contact Fay TianVice President of Investor RelationsRemark 626-623-2000 SOURCE: Remark Holdings, Inc. View the original press release on ACCESS Newswire Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
24-04-2025
- Business
- Yahoo
Palantir FedStart to launch on Google Cloud
Leigh Palmer, VP, Technology, Delivery & Operations, Google Public Sector, stated in a blog post: 'At Google Public Sector, we are committed to helping our customers execute their missions. Now, we're expanding this commitment by adding support for Palantir's (PLTR) FedStart platform, so public sector customers can utilize software and applications on Google Cloud's accredited infrastructure through the Palantir FedStart platform. Palantir FedStart helps U.S. government agencies achieve compliance, scale operations, and access innovative mission-critical solutions from leading independent software vendors, including many built natively on Google Cloud. The combination of world-class solutions, Google's global-scale infrastructure and security, and Palantir's turnkey compliance will accelerate innovation across U.S. government agencies. This will provide government agencies with certified solutions across multiple cloud platforms, while upholding the highest security and compliance standards. Our collaboration with Palantir also gives ISVs a faster path to accreditation and impact. At launch, the first ISV to use this new capability is Anthropic. Its Claude for Enterprise application will be available to federal government agencies through Palantir FedStart on Google Cloud.' Discover outperforming stocks and invest smarter with Top Smart Score Stocks. Filter, analyze, and streamline your search for investment opportunities using Tipranks' Stock Screener. Published first on TheFly – the ultimate source for real-time, market-moving breaking financial news. Try Now>> See today's best-performing stocks on TipRanks >> Read More on GOOGL: Disclaimer & DisclosureReport an Issue Apple Ousts Siri Boss as AI Failures Pile Up Wells Fargo says Criteo 'main beneficiary' of Google third-party cookies news Alphabet price target lowered to $192 from $225 at Stifel 'It's Time to Double Down,' Says Investor About Nebius Stock (NBIS) Analysts Slash Google Stock (GOOGL) Forecast on AI Fears
Yahoo
27-03-2025
- Business
- Yahoo
Lockheed Martin and Google Cloud Announce Collaboration to Advance Generative AI For National Security
Integration of Google AI with Lockheed Martin's AI Factory Ecosystem to Enhance Decision-Making and Innovation BETHESDA, Md. and RESTON, Va., March 27, 2025 /PRNewswire/ -- Lockheed Martin (NYSE: LMT) and Google Public Sector today announced their intent to integrate Google's advanced generative artificial intelligence (gen AI) into Lockheed Martin's AI Factory ecosystem. This collaboration will enhance Lockheed Martin's ability to train, deploy, and sustain high-performance AI models alongside other leading providers, accelerating AI-driven capabilities in critical national security, aerospace, and scientific applications. Lockheed Martin's AI Factory leverages both open-source and proprietary AI models, providing traceability, reliability, and monitoring to ensure trust, security, and high-assurance deployment. Google Cloud's AI capabilities will become part of this ecosystem, complementing Lockheed Martin's comprehensive approach to AI. "Using Google Cloud's AI technologies allows us to explore a wide range of powerful capabilities to deliver innovative, reliable solutions that stay ahead of the curve," said John Clark, senior vice president, Lockheed Martin Technology & Strategic Innovation. "A sustained relationship with Google Public Sector is part of our ongoing commitment to a culture of innovation, driving continuous improvement and delivering results for our customers." "Lockheed Martin and Google Cloud share a vision to bring new innovation to the industry with AI," said Jim Kelly, vice president Federal, Google Public Sector. "Our Google Cloud AI technologies will provide Lockheed Martin with a powerful toolset to address some of their most demanding issues faster than ever before." Lockheed Martin will apply these integrated AI capabilities to enhance critical areas including advanced intelligence analysis, real-time decision-making, predictive aerospace maintenance, optimized engineering designs, robust supply chains, secure software development, customized workforce training, and accelerated scientific discoveries. Google Cloud's Vertex AI platform helps organizations train, deploy, and customize large language models (LLMs) securely and at scale, complementing Lockheed Martin's AI Factory's commitment to secure, reliable AI across global operations, including air-gapped environments. This collaboration reflects both companies' shared commitment to trustworthy and secure AI deployment, adhering to the highest standards of security and reliability, hallmarks of both organizations. About Lockheed Martin Lockheed Martin is a global defense technology company driving innovation and advancing scientific discovery. Our all-domain mission solutions and 21st Century Security® vision accelerate the delivery of transformative technologies to ensure those we serve always stay ahead of ready. More information at About Google Cloud Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner. View original content to download multimedia: SOURCE Google Cloud
CNN
10-03-2025
- Business
- CNN
Tired of subway delays? The MTA wants to fix that by strapping Google smartphones to New York trains
Rob Sarno has been with the New York City's Metropolitan Transit Authority (MTA) for 14 years. As assistant chief track officer, he assists maintenance and emergency response — which also meant teaching artificial intelligence systems what a damaged rail sounds like last year. For a few months starting in September, he helped a pilot program between the MTA and Google Public Sector, the search giant's division that works with government agencies and educational institutions. The project involves retrofitting Google's Pixel smartphones to certain subway cars to collect sounds and other data and feed it into Google's Cloud. The data is then analyzed to spot patterns that could indicate track defects before they become a problem. 'By being able to detect early defects in the rails, it saves not just money but also time – for both crew members and riders,' Demetrius Crichlow, New York City Transit president, said in a statement released February 27. New York is just one major city to have implemented AI in the hopes of improving transit systems. In 2023, infrastructure consulting firm Aecom completed a pilot program for the New Jersey Transit system that used the technology to analyze customer flow and crowd management, and in 2024, the Chicago Transit Authority (CTA) uses AI to enhance security by detecting guns. Also in 2024, Beijing introduced a facial recognition system to be used in place of transit tickets and cards to reduce lines during rush hours. The pilot program between the MTA and Google — dubbed TrackInspect — is just the latest indication that companies are exploring whether the technology can make transit more efficient, although whether such an initiative will ever be deployed widely remains to be seen. TrackInspect which was announced last week, started as a proof-of-concept developed by Google Public Sector in partnership with its Rapid Innovation Team for the MTA at no cost, according to the transit agency. However, it's uncertain whether the project will expand into a permanent program since it's unclear how much it would cost the MTA, which already needs billions of dollars to complete existing projects. Google has partnered with other transportation agencies in the past. The tech giant has developed a chat box for the Chicago's CTA, launched direct data integration for Amtrak departure and arrival times and has partnered with tech providers Passport and ParkMobile to connect street parking meters to Google Maps. But the MTA's reach is massive; it's the country's largest public transit system with 472 subway stations and 237 local bus routes, according to MTA data. In 2024, the agency says there were more than 1 billion trips on the subway. Yet service disruptions continue to be a problem for the aging 120-year-old transit system. There was a total of 38,858 total delays in September; 39,492 in October; 36,971; in November and 42,862 delays in December last year, according to data from the MTA. Chicago's transit system, by comparison, only experienced about 200 delays each month with a wait time of 10 minutes or more in September, November and December. But only two of Chicago's subways run 24 hours a day, unlike in New York, where most of the train lines runs at all hours every day or have other train lines fill in the gaps. The goal of a program like TrackInspect is to figure out how to cut down on service disruptions. Between September 2024 and January 2025, six Google Pixel smartphones with 'standard, off-the-shelf plastic cases' were installed on four R46 subway cars — better known as the cars with the orange and yellow seats. The smartphones collected 335 million sensor readings, 1 million GPS locations and 1,200 hours of audio, according to the MTA. The smartphones, which were located inside and underneath the subway cars, detected subtle sounds and vibrations using sensors and microphones. The smartphones located inside cars had their native microphones disabled and did not capture audio or customers' conversations, only vibrations, whereas the smartphones outside the cars had additional attached microphones, according to the MTA. New York City Transit inspectors would examine areas highlighted by the AI system, manually check for issues and then feed those findings into the model to train it, the MTA said. The system highlighted 'areas that were above a certain threshold for decibels,' which could indicate a defect, according to Sarno. His role involved listening to clips ranging from five to 30 minutes and marking snippets that could signal an issue. 'Maybe a loose ball, maybe a loose joint, maybe a battered rail,' he said. When asked why the devices were retrofitted on older models instead of newer ones, Sarno said the MTA typically uses older car models when making modifications in case there are any unwanted effects. The MTA chose the A line because its cars go above and below ground. It also has areas with new construction, which provided a baseline for the MTA, according to Sarno. And there is no shortage of disruptions on the A line: Data from New York Open Data — an online portal where city agencies provide raw data to promote transparency — shows there were 2,252 delays in September, 2,368 in October, 2,643 in November and 2,572 in December. But not all delays were caused by mechanical or track problems; factors like crew availability, people on the track and construction played a much bigger role in setbacks. After NYCT track inspectors examined the tracks in person, they compared their findings with Sarno and the system's discoveries. 'That's how we were teaching the model,' Sarno said. If his estimate based on the audio captured by Google's phones matched the inspector's findings, that was considered a positive prediction, and the AI model would be taught accordingly. Sarno said that his own positive prediction success rate was about 80 percent. In addition to capturing and analyzing data for potential issues, the TrackInspect program included an AI system based on Google's Gemini model that inspectors could use 'to ask questions about maintenance history, protocols, and repair standards, with clear, conversational answers,' according to the MTA. The TrackInspect system identified 92 percent of the defect locations found by the MTA's inspectors and is considered to have been a success, a Google Public Sector spokesperson told CNN, adding that other transit systems have already expressed interest in similar programs. New York Open Data showed that certain types of delays, such as those related to braking issues, rail and roadbed problems and service delivery, decreased on the A line from September to December. But it's too soon to tell whether the pilot contributed to that change without further analysis, the MTA said. The trial with Google may be over, but the MTA isn't finished yet. It's now trying to court other companies with technology that could help develop track improvement software.
CNN
09-03-2025
- Business
- CNN
Tired of subway delays? The MTA wants to fix that by strapping Google smartphones to New York trains
Rob Sarno has been with the New York City's Metropolitan Transit Authority (MTA) for 14 years. As assistant chief track officer, he assists maintenance and emergency response — which also meant teaching artificial intelligence systems what a damaged rail sounds like last year. For a few months starting in September, he helped a pilot program between the MTA and Google Public Sector, the search giant's division that works with government agencies and educational institutions. The project involves retrofitting Google's Pixel smartphones to certain subway cars to collect sounds and other data and feed it into Google's Cloud. The data is then analyzed to spot patterns that could indicate track defects before they become a problem. 'By being able to detect early defects in the rails, it saves not just money but also time – for both crew members and riders,' Demetrius Crichlow, New York City Transit president, said in a statement released February 27. New York is just one major city to have implemented AI in the hopes of improving transit systems. In 2023, infrastructure consulting firm Aecom completed a pilot program for the New Jersey Transit system that used the technology to analyze customer flow and crowd management, and in 2024, the Chicago Transit Authority (CTA) uses AI to enhance security by detecting guns. Also in 2024, Beijing introduced a facial recognition system to be used in place of transit tickets and cards to reduce lines during rush hours. The pilot program between the MTA and Google — dubbed TrackInspect — is just the latest indication that companies are exploring whether the technology can make transit more efficient, although whether such an initiative will ever be deployed widely remains to be seen. TrackInspect which was announced last week, started as a proof-of-concept developed by Google Public Sector in partnership with its Rapid Innovation Team for the MTA at no cost, according to the transit agency. However, it's uncertain whether the project will expand into a permanent program since it's unclear how much it would cost the MTA, which already needs billions of dollars to complete existing projects. Google has partnered with other transportation agencies in the past. The tech giant has developed a chat box for the Chicago's CTA, launched direct data integration for Amtrak departure and arrival times and has partnered with tech providers Passport and ParkMobile to connect street parking meters to Google Maps. But the MTA's reach is massive; it's the country's largest public transit system with 472 subway stations and 237 local bus routes, according to MTA data. In 2024, the agency says there were more than 1 billion trips on the subway. Yet service disruptions continue to be a problem for the aging 120-year-old transit system. There was a total of 38,858 total delays in September; 39,492 in October; 36,971; in November and 42,862 delays in December last year, according to data from the MTA. Chicago's transit system, by comparison, only experienced about 200 delays each month with a wait time of 10 minutes or more in September, November and December. But only two of Chicago's subways run 24 hours a day, unlike in New York, where most of the train lines runs at all hours every day or have other train lines fill in the gaps. The goal of a program like TrackInspect is to figure out how to cut down on service disruptions. Between September 2024 and January 2025, six Google Pixel smartphones with 'standard, off-the-shelf plastic cases' were installed on four R46 subway cars — better known as the cars with the orange and yellow seats. The smartphones collected 335 million sensor readings, 1 million GPS locations and 1,200 hours of audio, according to the MTA. The smartphones, which were located inside and underneath the subway cars, detected subtle sounds and vibrations using sensors and microphones. The smartphones located inside cars had their native microphones disabled and did not capture audio or customers' conversations, only vibrations, whereas the smartphones outside the cars had additional attached microphones, according to the MTA. New York City Transit inspectors would examine areas highlighted by the AI system, manually check for issues and then feed those findings into the model to train it, the MTA said. The system highlighted 'areas that were above a certain threshold for decibels,' which could indicate a defect, according to Sarno. His role involved listening to clips ranging from five to 30 minutes and marking snippets that could signal an issue. 'Maybe a loose ball, maybe a loose joint, maybe a battered rail,' he said. When asked why the devices were retrofitted on older models instead of newer ones, Sarno said the MTA typically uses older car models when making modifications in case there are any unwanted effects. The MTA chose the A line because its cars go above and below ground. It also has areas with new construction, which provided a baseline for the MTA, according to Sarno. And there is no shortage of disruptions on the A line: Data from New York Open Data — an online portal where city agencies provide raw data to promote transparency — shows there were 2,252 delays in September, 2,368 in October, 2,643 in November and 2,572 in December. But not all delays were caused by mechanical or track problems; factors like crew availability, people on the track and construction played a much bigger role in setbacks. After NYCT track inspectors examined the tracks in person, they compared their findings with Sarno and the system's discoveries. 'That's how we were teaching the model,' Sarno said. If his estimate based on the audio captured by Google's phones matched the inspector's findings, that was considered a positive prediction, and the AI model would be taught accordingly. Sarno said that his own positive prediction success rate was about 80 percent. In addition to capturing and analyzing data for potential issues, the TrackInspect program included an AI system based on Google's Gemini model that inspectors could use 'to ask questions about maintenance history, protocols, and repair standards, with clear, conversational answers,' according to the MTA. The TrackInspect system identified 92 percent of the defect locations found by the MTA's inspectors and is considered to have been a success, a Google Public Sector spokesperson told CNN, adding that other transit systems have already expressed interest in similar programs. New York Open Data showed that certain types of delays, such as those related to braking issues, rail and roadbed problems and service delivery, decreased on the A line from September to December. But it's too soon to tell whether the pilot contributed to that change without further analysis, the MTA said. The trial with Google may be over, but the MTA isn't finished yet. It's now trying to court other companies with technology that could help develop track improvement software.
