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Artificial Intelligence

EX.CO Unveils Large Language Model (LLM)-Based Video Recommendation Engine for Digital Publishers

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Upgraded engine poised to transform publishers’ engagement and monetization efforts with relevant video at scale
NEW YORK and LONDON, Aug. 19, 2024 /PRNewswire/ — EX.CO, the publisher video platform powering successful video strategies for the world’s leading media groups, today announced an advanced contextual video content recommendation engine for digital publishers. The unique machine learning-based engine uses large language models (LLM) to provide audiences with the most relevant videos from a publisher’s video content bank in real-time, enabling more scalable video integration across an entire website without needing to produce specific content for each article or manually match articles with content.

Autovia, UK’s leading automotive content and commerce company with trusted brands including Auto Express, Carbuyer, and evo, is one of the first of many publishers currently leveraging EX.CO’s upgraded contextual recommendation engine for its network of websites.
“Context and relevance are crucial elements of our business as we strive to deliver the best user experience possible,” said Ciaran Scarry, advertising director at Autovia. “EX.CO’s contextual recommendation engine enhances our UX by allowing us to tailor video recommendations to match the specific content on each page, which is crucial for our in-market audience when they’re researching their next car purchase. This seemingly minor adjustment is a major game changer for us, providing highly-relevant content that captivates our readers and keeps them engaged.”
The LLM-based engine vectorizes text, calculates the similarities between articles and available video content, and then ranks the results to deliver the fastest and highest quality recommendations possible. For publishers who need additional video content for their pages, the engine can also tap into EX.CO’s vast content marketplace which offers thousands of high-quality videos in different verticals from premium sources.
“Audiences today will only engage with content that is truly relevant to them; however, it’s challenging for publishers to produce and match such large amounts of video content,” said Tom Pachys, co-founder and CEO at EX.CO. “After having in-depth conversations with publishers and conducting our own data research, we realized that the old ‘tag/taxonomy’-based approaches were insufficient. By integrating LLM capabilities with ML optimization models, we built a new-generation recommendation engine. We were surprised by the immediate results, which surpassed our previously highly refined models still considered best practice in this field.”
The video recommendations are served ‘at the speed of news,’ leading to higher audience engagement and retention which, in turn, has the potential to boost other vital KPIs such as revenue, brand loyalty, and subscription growth.
EX.CO’s upgraded contextual recommendation engine is now deployed for EX.CO partners. Top tier publishers are achieving an 80% relevancy match rate, leading to 4X higher engagement rates with the video player than the industry benchmark. Moreover, average negative interactions with the video player have decreased by 30-40%.
The technology currently optimizes video recommendations based on criteria including media category, title, recency, sentiment, keywords, and length. EX․CO plans to soon expand this offering by adding ChatGPT-like functionality, allowing publishers to refine video recommendations by using prompts. This will help train the engine to deliver more relevant recommendations for specific sites, sections, and articles.
About EX.COWe’re EX.CO, the world’s leading publisher video technology platform empowering publishers to own their video strategy for maximum yield. Our AI-based solutions for video management, video monetization, content automation, and video recommendation are trusted by some of the largest publishers globally including The Arena Group, CBSi, Hearst Newspapers, Nasdaq, and News Corp. Founded in 2012 and headquartered in New York City with employees located around the world, EX.CO is backed by The Walt Disney Company, Saban Ventures, Viola Group, 83North, and Firstime Ventures. For more information, visit ex.co.
Media Contact:Tammy Blythe [email protected]
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Artificial Intelligence

GEEKOM releases a perfect mini PCs with dual 2.5Gbps Ethernet ports – GEEKOM GT1 MEGA

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TAIPEI, Sept. 20, 2024 /PRNewswire/ — GEEKOM, a Taiwanese tech company also known as the Green Mini PC Global Leader, recently released a strong lineup of flagship mini PCs with Intel Core Ultra processors and dual Ethernet ports, making it possible for users to enjoy impeccable performance and superb networking functionalities at the same time.

One of these mini PCs is the GEEKOM GT1 Mega, which employs a beautiful aluminum chassis with plenty of I/O, including two full-function 40Gbps USB4 Type-C, six USB Type-A, 2 HDMI2.0, a 3.5mm audio jack, an SD card reader and dual Ethernet ports. The two Ethernet jacks are both of 2.5Gbps standard, which not only delivers high-speed and reliable internet connection for people’s daily computing chores, but also enables the mini PC to serve more sophisticated networking functionalities as a soft router, a virtual machines, a hardware firewall, or even a home server. Besides, dual Ethernet ports can separate internal and external network connections, providing logical and physical separation of trusted and untrusted network traffic and keeping data safe from potential cyber-attacks.
The GT1 Mega is powered by Intel’s latest and smartest Core™ Ultra processor (up to CoreTM U9-185H) and dual-channel DDR5-5600MHz RAM. Thanks to the new CPU, GPU, and NPU three tier multi-processing architecture, the mini PC is ready to harness the superpowers of Artificial Intelligence. It is compatible with more than 500 AI models across 20+ categories and supports high-performance low-power processing in a wide range of computing scenarios, which include enhancing facial features and blurring the background during video calls, removing the vocals from songs to create karaoke tracks, and generating large-scale images based on texts or voice commands. Basically, the GT1 Mega allows users to finish tasks that used to take hours or even days through only a few keystrokes!
The GEEKOM GT1 Mega,is now available on GEEKOM’s official website.
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Artificial Intelligence

Lucinity Partners with Sift for Unified Fraud and AML Case Management

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SAN FRANCISCO, Sept. 19, 2024 /PRNewswire/ — Lucinity and Sift have announced a partnership, unifying fraud and Anti-Money Laundering (AML) into Lucinity’s integrated FinCrime compliance platform for case management, agent-enabled workflow automation, and Generative AI.

Sift is an AI-powered fraud platform securing digital trust for leading global businesses. Its Global Data Network analyzes more than 1 trillion events and identity signals per year to prevent fraud across the entire consumer journey. Lucinity and Sift formed this new partnership to address the challenges of fragmented fraud and AML systems, aiming to centralize and enhance financial crime investigations.
Sift’s AI-powered solution will now be integrated into Lucinity’s platform. This collaboration enhances Lucinity’s ability to provide a seamless and efficient compliance solution. It allows teams to review and manage fraud alerts more effectively through Lucinity’s unified Case Management system, thanks to the native integration between the systems. Key benefits to Lucinity’s users include:
Real-Time Fraud Screening: Payments are screened for potential fraud in real time, utilizing Sift’s fraud detection capabilities.Automatic Payment Holds: Payments suspected of fraud are temporarily held, ensuring verification before processing.Streamlined Reviews: Compliance teams can conduct thorough reviews of flagged payments within Lucinity’s Case Management solution.Risk Level Adjustments: Fraud detection parameters can be customized to adjust sensitivity levels, adapting to emerging fraud trends and risk appetites.This partnership also enables users to leverage Lucinity’s Generative AI capabilities through the Luci copilot to investigate fraud cases more efficiently.
Udi Nessimyan, President and Chief Revenue Officer of Lucinity, comments, “One of the greatest challenges in fighting financial crime is fragmented systems and data. Our partnership with Sift helps address this challenge by providing a centralized platform for various case types, including AML, fraud, sanctions, and ad hoc cases. Our collaboration significantly enhances the productivity of investigation teams, reducing the time spent on cases from hours to minutes.”
Sift’s Chief Marketing Officer, Armen Najarian, emphasizes the collaborative effort to enhance financial crime prevention, stating, “Cybercriminals are increasingly leveraging AI to bypass traditional anti-money laundering and fraud controls, creating sophisticated and dynamic threats. To combat these evolving risks, companies must adopt a ‘fight fire with fire’ approach by leveraging AI-powered solutions. Through Sift’s partnership with Lucinity, businesses can stay ahead of fraudsters, ensuring robust protection against abuse and enabling fearless growth.”
About Sift: https://sift.com About Lucinity: https://lucinity.com
Media contact:Celina [email protected] +354 792 4321

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Artificial Intelligence

Employee Background Check Software Market Size to Grow USD 828.8 Million by 2030 at a CAGR of 4.9% | Valuates Reports

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BANGALORE, India, Sept. 19, 2024 /PRNewswire/ — Employee Background Check Software Market is Segmented by Type (Cloud-Based, On Premises), by Application (SMEs, Large Enterprises): Global Opportunity Analysis and Industry Forecast, 2024-2030.

The Global Employee Background Check Software Market was valued at USD 587 Million in 2023 and is anticipated to reach USD 828.8 Million by 2030, witnessing a CAGR of 4.9% during the forecast period 2024-2030.
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Major Factors Driving the Growth of Employee Background Check Software Market:
The employee background check software market is growing due to increasing demands for secure hiring processes and regulatory compliance, especially in industries such as finance, healthcare, and IT. As companies look to reduce risks associated with fraud, legal liabilities, and workplace safety, background checks are becoming a critical part of recruitment processes. The rise of remote work has further accelerated the need for digital solutions. However, challenges include concerns over data privacy and varying legal frameworks across regions, which may slow adoption in some areas.
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TRENDS INFLUENCING THE GROWTH OF THE GLOBAL EMPLOYEE BACKGROUND CHECK SOFTWARE MARKET:
Cloud-based background check software is gaining traction due to its scalability, remote access, and cost-effectiveness. With cloud-based systems, businesses can streamline their hiring processes, particularly when operating across multiple locations. The ability to access data and conduct checks in real-time is highly valuable for organizations managing large workforces or remote employees. The flexibility and lower upfront investment of cloud-based solutions make them popular among businesses seeking efficient and adaptable systems for their recruitment processes.
On-premises solutions remain important for organizations with strict security and data control requirements, such as those in government, defense, or finance. These companies often need complete ownership of their data, which on-premises software offers, reducing the risk of external breaches. Although it requires significant upfront investment and maintenance, on-premises software provides a high level of customization and security. It’s especially useful for businesses dealing with sensitive information and industries where compliance with local data protection laws is critical.
Large enterprises, particularly those operating in regulated industries like banking and healthcare, are the major adopters of employee background check software. These organizations deal with large volumes of hires, making streamlined background checks essential for compliance and operational efficiency. The ability to integrate background check systems with existing HR tools, such as applicant tracking systems, allows large companies to manage their recruitment processes more effectively. The need for comprehensive and accurate background checks is crucial for mitigating risk and ensuring legal compliance.
The rise in remote working has increased the demand for background check software that allows companies to vet employees regardless of their location. Digital background checks, particularly cloud-based ones, make it easier for organizations to screen remote workers efficiently. This trend is expected to continue as more companies adopt hybrid or fully remote work models, where geographical barriers no longer restrict talent acquisition but require thorough and remote-friendly verification processes.
As regulatory frameworks for employment practices become more stringent globally, businesses are increasingly relying on background check software to ensure compliance. Laws like the General Data Protection Regulation (GDPR) in Europe and the Fair Credit Reporting Act (FCRA) in the U.S. have made it mandatory for companies to conduct background checks within specific legal parameters. This has led to increased demand for software solutions that can automate these processes while maintaining compliance with regional and international laws.
A major trend in the employee background check software market is the integration of these solutions with human resources management systems (HRMS). Integrating background checks with HR software streamlines the hiring process by consolidating background checks, employee records, and onboarding into one system. This improves operational efficiency for businesses, particularly large enterprises that handle significant recruitment volumes. Integration with HRMS allows for real-time updates, making background screening an even more integral part of the hiring process.
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EMPLOYEE BACKGROUND CHECK SOFTWARE MARKET SHARE
North America dominates the market due to stringent employment regulations and widespread adoption across industries. Europe is another key region, driven by GDPR compliance and demand in finance and healthcare. The Asia-Pacific region is experiencing rapid growth due to increasing awareness of the importance of background checks, especially in countries like China and India, where digital hiring platforms are becoming more popular. The market is also expanding in the Middle East and Africa as businesses prioritize secure hiring practices.
Key Companies:
HireRightGoodHireCheckrSterlingHireologyINTELIFIGood EggPeopleG2VitayCertnGlobal HR ResearchVeritable ScreeningXrefZincPaycomADPVICTIGIntelliCorp (Cisive)SpringVerifyAsurintUniversalAssureHireVerified FirstHireSafePurchase Chapters: https://reports.valuates.com/request/chaptercost/QYRE-Auto-2A10579/Global_Employee_Background_Check_Software 
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DISCOVER MORE INSIGHTS: EXPLORE SIMILAR REPORTS!
–  Employer of Record Services market was valued at USD 128.2 Million in 2023 and is anticipated to reach USD 196 Million by 2030, witnessing a CAGR of 6.8% during the forecast period 2024-2030.
–  Employee Engagement Platform market was valued at USD 805 Million in 2023 and is anticipated to reach USD 2217.4 Million by 2030, witnessing a CAGR of 15.5% during the forecast period 2024-2030.
–  Employee Advocacy Platforms market was valued at USD 533 Million in 2023 and is anticipated to reach USD 1020.8 Million by 2030, witnessing a CAGR of 9.7% during the forecast period 2024-2030.
–  Employee Feedback Software market is projected to grow from USD 499.5 Million in 2024 to USD 1287.8 Million by 2030, at a Compound Annual Growth Rate (CAGR) of 17.1% during the forecast period.
–  Employee Productivity Tracking Software market is projected to reach USD 311.8 Million in 2029, increasing from USD 219 Million in 2022, with the CAGR of 5.2% during the period of 2023 to 2029.
–  Employee Feedback Software market is projected to grow from USD 499.5 Million in 2024 to USD 1287.8 Million by 2030, at a Compound Annual Growth Rate (CAGR) of 17.1% during the forecast period.
–  Employee Rewards and Recognition Software Market
–  Employee Productivity Monitoring Software Market
–  Employee Recognition Software market was valued at USD 2247 Million in 2023 and is anticipated to reach USD 4186.4 Million by 2030, witnessing a CAGR of 8.9% during the forecast period 2024-2030.
–  Employee Lockers Market
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Our team of market analysts can help you select the best report covering your industry. We understand your niche region-specific requirements and that’s why we offer customization of reports. With our customization in place, you can request for any particular information from a report that meets your market analysis needs.
To achieve a consistent view of the market, data is gathered from various primary and secondary sources, at each step, data triangulation methodologies are applied to reduce deviance and find a consistent view of the market. Each sample we share contains a detailed research methodology employed to generate the report. Please also reach our sales team to get the complete list of our data sources.
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