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Tagboard Launches Industry-Leading Cloud Production Studio at NAB, Delivering World’s Most Efficient Cloud Graphics Workflow

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Set to be unveiled at NAB Show in April, Tagboard’s latest software delivers the most comprehensive suite of tools ever for broadcast and in-venue production teams with Adobe and AWS integrations, dynamic graphics, and real-time analytics

SEATTLE, April 10, 2023 /PRNewswire-PRWeb/ — Tagboard, the world’s leading audience engagement and cloud production platform used by 500 sports and media partners, today announced a series of new product releases for its cloud production studio designed to create the single most efficient production workflow in the world. New features include:

First-of-its-kind integration with Adobe Photoshop featuring a drag-and-drop workflow that eliminates duplicative work to bring graphic designs to screens.Automated production workflows with APIs allowing producers to create dynamic content from any data source.Real-time production analytics powered by Amazon Web Services (AWS), providing audience engagement data across media properties.

With the new releases, Tagboard, a company known for its interactive broadcast graphics, has set its eyes on solving what it sees as the biggest hurdle for production and in-venue teams looking to deliver audience engagement: workflow efficiency.

“In an industry that works in milliseconds, there’s absolutely zero excuse for the inefficiencies of traditional workflows and outdated processes,” said Tagboard CEO Nathan J Peterson. “Not only are we turning today’s broadcast and in-venue screens into two-way communication devices that keep audiences engaged with partners across channels, but with these new releases, we’re drastically reducing the operating overhead for production teams to do so. The phrase ‘That’ll take too much time’ should never be spoken again.”

Tagboard, recently selected for NBA Launchpad – the NBA’s initiative to source, evaluate and pilot emerging technologies – has created a dominant media footprint with more than 500 media companies. Fox Sports, Sinclair Broadcasting Group, and Riot Games have all been early testers of the new feature-laden package that contains everything from new integrations with AWS and Adobe to graphic automation with real-time data sources, and industry-changing production analytics.

“We first partnered with Tagboard in 2018 and quickly found a teammate eager to help us increase interactivity & innovation within our productions,” said Mike Bucklin SVP of Digital, FOX Sports, “Tagboard already has the most versatility of any product we’ve utilized, but the features announced today will allow us to be far more efficient, bringing ideas to life much faster without sacrificing quality.”

First-of-its-kind integration with Adobe

With Tagboard’s first-of-its-kind integration with Adobe, producers are able to completely eliminate the duplicative work involved in bringing a graphic design to a screen. Tagboard’s graphics studio now automatically imports fully-layered files from one of the most popular design tools, Adobe Photoshop, to create a seamless handoff process from design teams to production teams – with no rebuild required.

“In most production environments, the process of building new graphics can involve multiple people handing off design files to one another and rebuilding them in separate platforms – essentially building the same thing multiple times. But today’s content demands can’t afford to be held back by yesterday’s processes,” said Peterson. “Our clients take great care in hiring the most creative teams in the industry, and with our new Adobe integration, their incredibly talented producers get to focus on bringing the world’s best stories to life instead of doing duplicative work that good technology should handle.”

Automated workflows that display dynamic content from any source

Building on Tagboard’s award-winning workflow that brings real-time social content into broadcasts in a matter of seconds is a new API engine that can automatically import and display dynamic content from any source, populating graphic templates with complex data in a few simple clicks. With the ability to import data with vastly different levels of complexity – from basic fields to complex coded integrations – enterprises are able to utilize new levels of graphic automation for real-time storytelling while minimizing the most tedious parts of graphic production.

“Production teams are now able to import and display highly complex data sets in graphic templates and instantly refresh their content while on-air – keeping content live and accurate with one simple click,” said Christine Chalk, a three-time Emmy-winning producer and SVP of Strategy at Tagboard. “We’ve seen side-by-side comparisons for time savings, and production teams are operating 90% faster while reducing the likelihood of human error. Combining this new capability with our award-winning user experience means we aren’t just curbing manual data entry, we’re able to unlock new creative program segments that haven’t been possible before.”

Real-time production analytics

Rounding out the release is Tagboard’s third headlining feature: Production Analytics. For years social media networks have had an advertising advantage with their ability to see the rich data associated with their viewers – every click, content view, and engagement – while traditional media had limited ability to understand and monetize their viewers.

With its latest release, Tagboard media and sports partners can see real-time engagement data across their key media properties. By better understanding viewer behavior and exactly when, where, and how fans are interacting with content producers can improve editorial decision-making and monetization.

A great example is Riot Games’ use of Tagboard Analytics to measure QR Code scans by its viewers. By measuring which specific calls-to-action and other factors generated the most scans, the team at Riot was able to optimize their content, while also helping sponsorship teams improve results and reporting on brand activations.

“We’ve seen immediate value in Tagboard’s data within our productions,” said Stefan Richardson, Executive Broadcast Producer at Riot Games. “By having QR codes as a part of our production system, we’ve used Tagboard’s analytics to drive better engagement – testing different approaches with graphics and calls-to-action. We’ve been able to successfully unlock a significant amount more scans and engagement from our viewers.”

Scaling with AWS

To successfully launch its new cloud production suite, Tagboard also worked with AWS. Using AWS’s latest serverless architecture, Tagboard is able to process real-time data and provide a fast, safe, and reliable graphic interface, while supporting the demand of millions of scans per second from fans of Tagboard’s 500+ major media and sports partners.

“As Tagboard’s adoption continues to grow across the media industry, we wanted to find the right cloud solutions to help us reliably scale,” said Sergey Lvov, VP of Engineering, Tagboard. “By leveraging AWS Serverless architecture we were able to develop our products an order of magnitude faster than it would take using a traditional approach, allowing us to focus on the code rather than infrastructure deployment.”

Tagboard’s new cloud production suite, powered by AWS, has created the fastest graphic build process in the industry – bringing complex graphics on-air in a matter of seconds. Production teams can now focus more on creating new, engaging content instead of wasting time on repetitive, mundane tasks.

“By using cloud production to eliminate the tedious tasks, our clients are able to scale their storytelling with new channels, new content, and alternative streams to create more personalized, more highly-engaged stories. Not only does this create more content production than we’ve ever seen before, but it also drives a flywheel of audience engagement that activates the sponsorships more deeply as well,” said Peterson. “We’ve taken an absurdly complicated workflow of the past and turned it into the most simple process in the industry. At Tagboard we believe every story deserves to be told, and we’ll continue to eliminate anything that gets in the way.”

About Tagboard

Tagboard is the world’s leading audience experience platform designed to help storytellers in news, sports, and entertainment increase engagement through real-time content and interactive storytelling. With Tagboard’s Emmy-nominated cloud production studio, media partners are able to create the most engaging content in the world with a fraction of the resources required by traditional production and graphics systems – with minimal upfront costs and little to no hardware required. Tagboard’s lightweight production platform drives audience engagement for over 500 of the world’s largest media brands. For more information, please visit www.tagboard.com

Pull Quote

“Not only are we turning today’s broadcast and in-venue screens into two-way communication devices that keep audiences engaged with partners across channels, – we’re drastically reducing the operating overhead for production teams to do so.” – Tagboard CEO Nathan J Peterson

Media Contact

David Henderson, Tagboard, 1 425-829-5971, david@storybound.co, www.Tagboard.com

 

SOURCE Tagboard

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Consilient Expands Access to Federated AI-Powered Financial Crime Solutions in AWS Marketplace, Including for Use in AWS GovCloud (US)

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Consilient’s Federated AML and fraud detection, synthetic financial-crime data, SAR analysis, and open-source intelligence are now available through AWS Marketplace

WASHINGTON, Nov. 9, 2026 /PRNewswire/ — Consilient, the leading provider of federated AI-powered financial-crime discovery and detection technology, today announced that its solutions are now available in Amazon Web Services (AWS) Marketplace, including for use in AWS GovCloud (US). The offering provides financial institutions, fintechs, and U.S. government organizations with a streamlined way to discover, procure, and deploy Consilient’s capabilities through AWS Marketplace.

Customers now have access to Consilient’s Federated AI ecosystem and four complementary products:

Federated Learning Models and Exchange: Behavioral machine-learning models, deployed and shared through a secure federated network that continuously improve by learning across institutions and data sets, without any data moving or leaving the institution’s environment. Covering core anti-money laundering (AML) typologies and specific high-risk financial criminal and fraud activities, the Consilient models also surface hidden risks and emerging typologies that no single institution could detect alone.Federated Synthetic Data: Realistic, labeled examples of rare, emerging, and underrepresented financial-crime risks to support model development, evaluation, and improvement when historical cases and data are limited.SAR Analyzer: AI-assisted analysis of Suspicious Activity Report (SAR) narratives to connect related entities and cases, uncover recurring risk patterns, and turn investigative findings into reusable detection opportunities.OSINT Agent: Open-source and external intelligence on individuals, businesses, ownership, and relationships to help investigators assess risk with fuller context.

Customers can now deploy Consilient flexibly within their AWS environment, taking advantage of shared insights through Consilient’s federated exchange and capabilities while ensuring data remains local, secure, and private.

“Financial-crime teams need more effective and dynamic ways to find emerging risks without compromising sensitive data or adding unnecessary friction to procurement. In proven deployments at Tier-1 financial institutions, Consilient has improved efficiency by 75% and increased detection effectiveness by 4x, uncovering hidden risks that existing systems simply cannot see. Availability in AWS Marketplace makes it easier for financial institutions and government agencies to access these capabilities on a continuous basis, including our newer SAR Analyzer and Federated Synthetic Data products, within the secure, compliant infrastructure they require,”  Ajit Tharaken, Chief Executive Officer, Consilient.

Consilient’s availability in AWS GovCloud (US) reflects growing demand from U.S. government agencies and regulated institutions for financial-crime detection capabilities that meet the highest standards of security and compliance, areas where federated learning’s data-local architecture is a natural fit for cloud infrastructure.  Consilient allows for more dynamic public-private insight sharing and feedback without having to share or move data.

Consilient’s federated learning approach allows approved model updates and insights to strengthen detection across participating institutions without transferring the underlying customer data. Industry estimates suggest existing rules-based systems generate false positive rates of up to 98%, creating enormous operational overhead for compliance teams.  Consilient’s federated capabilities enable more efficient and effective risk discovery.

Consilient’s wider portfolio combines its federated approach with AI-assisted investigation, external intelligence, and synthetic data to address structural inefficiencies of current approaches and support the detection of complex, emerging financial-crime risks dynamically. Consilient’s solutions are now deployable within AWS infrastructure.

To learn more about Consilient’s offerings, visit Consilient.com or view its listing in AWS Marketplace at https://aws.amazon.com/marketplace/pp/prodview-3goaqbwjfiffo.

About Consilient
Consilient is the first company to apply federated AI for the detection and prevention of financial crime and fraud risk.  Consilient’s mission is to transform how the world prevents financial crime. 

Consilient enables financial institutions and regulators to transform financial crime detection by learning from patterns of behavior across institutions and borders, without ever sharing or moving data. Using federated learning, Consilient generates collective and constantly improving insights across data sets, making dynamic industry-wide collaboration to detect financial-crime risk possible for the first time. It reveals complex and emerging threats that cannot be detected within the boundaries of any single institution, improving risk discovery, increasing precision, and enabling more effective prioritization while maintaining strict data privacy and governance standards.

Co-founded and chaired by Juan Zarate, the first-ever U.S. Treasury Assistant Secretary for Terrorist Financing and former Deputy National Security Advisor for Combating Terrorism, Consilient was built to address the structural limitations of siloed detection systems and offer a more effective, collaborative, and systemic approach to preventing financial-crime and fraud while strengthening data privacy.

Learn more at Consilient.com.

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SOURCE Consilient Inc

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InventHelp Inventor Develops New Finger Blood Pressure, Pulse, Oximetry Device (CLR-357)

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PITTSBURGH, Nov. 9, 2026 /PRNewswire/ — “I’m a registered nurse, and I thought there could be a way to obtained three vital signs in one easy step,” said an inventor, from Romeoville, Ill., “so I invented the FINGER BLOOD PRESSURE, PULSE, OXIMETRY DEVICE. My design offers a simple and accurate way to frequently monitor blood pressure, pulse rate, and oxygen saturation.”

The invention provides an improved means to monitor vital signs in medical settings, at home, as well as when on the go. In doing so, it can be used to monitor the pulse, oxygen saturation, as well as blood pressure. As a result, it saves time and effort, and it eliminates the need to employ multiple devices. The invention features a practical design that is easy to use so it is ideal for the medical facilities, households, on-the-go individuals, and the general population.

The original design was submitted to the Chicago sales office of InventHelp. It is currently available for licensing or sale to manufacturers or marketers. For more information, write Dept. 25-CLR-357, InventHelp, 100 Beecham Drive, Suite 110, Pittsburgh, PA 15205-9801, or call (412) 288-1300 ext. 1368. Learn more about InventHelp’s Invention Submission Services at http://www.InventHelp.com.

View original content to download multimedia:https://www.prnewswire.com/news-releases/inventhelp-inventor-develops-new-finger-blood-pressure-pulse-oximetry-device-clr-357-302933252.html

SOURCE InventHelp

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DongA Science turns 40 years of science journalism into AI tutor AiR NOVA, a CES 2027 honoree

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AiR NOVA answers K-12 students’ science questions using more than 100,000 articles written by DongA Science’s own journalists, showing the source article behind each answer.Launching in January 2027 on web, iOS and Android in Korean, English, Vietnamese and Spanish.

AiR NOVA’s Tutor answers a question about a newly named Korean dinosaur and shows the source article behind the answer. Background imagery is AI-generated.

SEOUL, South Korea, Nov. 9, 2026 /PRNewswire/ — DongA Science, a South Korean science media company that has published science magazines since 1986, has built an AI tutor on its own journalism. AiR NOVA, which answers students’ science questions from the company’s archive and shows the source article behind each answer, has been named a CES Innovation Awards® 2027 Honoree in the EdTech category, the company announced today.

As news publishers around the world weigh how their reporting should be used by AI, DongA Science took a different route by turning its archive into an exclusive learning product. Rather than drawing on the open web, AiR NOVA sources its answers from more than 100,000 articles reported and verified by the company’s science journalists over the past 40 years. This archive spans its magazine archive and daily science news, allowing students to verify where each answer originated. Furthermore, students using AiR NOVA in English, Vietnamese or Spanish receive answers in their selected language, alongside the translated source article from the Korean original.

To learn more about AiR NOVA’s CES 2027 recognition and explore its AI-driven educational features, visit nova.dongascience.com/intro or watch the introductory video at www.youtube.com/watch?v=03EsRqmuASQ.

Three Ways to Keep Students Asking

AiR NOVA is designed for K-12 students and integrates three core AI functions into a single app:

Tutor answers questions with verified sources. For instance, if a student asks, “Are new dinosaurs still being discovered?” Tutor explains at their grade level how the Doolysaurus was named in 2026 as Korea’s third new dinosaur species, and then displays the reference article.Socrates is a patent-pending Socratic-dialogue mode that replies with guiding questions instead of direct answers, encouraging students to reason their way to an explanation in their own words. Students can also upload their inquiry reports, prompting Socrates to ask questions that walk them back through their conclusion process.Coach sustains the inquiry process beyond the initial answer. Students work through missions tied to specific articles, which involve predicting, asking questions, checking sources, explaining and reflecting.

In the Classroom

Teachers can utilize Coach to structure lessons around articles that match their curriculum, build worksheets and missions, and track each student’s participation and results via comprehensive reports. This significantly reduces the time required to prepare inquiry-based lessons.

At launch, AiR NOVA’s science and math content will align with South Korea’s national curriculum, the U.S. Next Generation Science Standards (NGSS), the Common Core State Standards for Mathematics (CCSSM), Cambridge International and the International Baccalaureate (IB). AiR NOVA will be available in January 2027 on web, iOS and Android platforms, requiring no dedicated device. Pricing details will be announced at a later date.

Built on a Proven Service in South Korean Schools

AiR NOVA is the global edition of DongA Science AiR, the company’s established AI science inquiry service in South Korea. The school edition, DongA Science AiR edu, is currently utilized by more than 20,000 students across 170 schools, who collectively complete an average of 5,000 inquiry activities per month. DongA Science developed AiR NOVA based on this extensive operational experience and direct feedback from educators, including practicing teachers collaborating through a classroom problem-solving project run by the Korea Education and Research Information Service (KERIS), a South Korean public agency.

The Korean service was honored with the Minister of Science and ICT Award at the 2024 Digital Service Frontier Awards, while its school edition received the Minister of Education Award at the 2026 K-EduTech Contest.

Showcasing at CES 2027

AiR NOVA will be featured in the Korea Pavilion at CES 2027, taking place Jan. 6-9, 2027, in Las Vegas. During the event, DongA Science plans to connect with global education institutions and edtech companies.

“This CES Innovation Awards honor reflects our long-standing effort to combine the science content we have built up over many years with AI technology to solve real problems in education,” said Kyung-ae Jang, CEO of DongA Science. “We want students around the world to start from a small spark of curiosity and discover the joy of inquiry with AiR NOVA, and we want teachers to be able to design inquiry lessons without the extra burden.”

The CES Innovation Awards program, produced by the Consumer Technology Association (CTA), honors outstanding design and engineering in consumer technology products.

About DongA Science

DongA Science is a leading South Korean science media company that connects science journalism with AI technology to broaden how people learn. Starting with its flagship magazine, Science DongA, launched in 1986, it publishes science and math magazines for children and teens and, together with its daily science news, has built an archive of more than 100,000 science articles over 40 years. Content reported and verified by its science journalists is the foundation for building trustworthy AI education products. On that foundation, the company operates the AI science inquiry service DongA Science AiR in South Korea and will launch its global edition, AiR NOVA, in January 2027.

Website: www.dongascience.com/en
About AiR NOVA: nova.dongascience.com/intro
Video: www.youtube.com/watch?v=03EsRqmuASQ

CES® is a registered trademark of the Consumer Technology Association (CTA)®.

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SOURCE DongA Science

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