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WEKA Teams With Contextual AI to Power Production-Ready Enterprise AI Solutions in Google Cloud

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Contextual Language Model (CLM) Leverages the WEKA Data Platform to Power More Secure, Accurate, and Efficient Use of Enterprise AI
CAMPBELL, Calif., Aug. 7, 2024 /PRNewswire/ — WekaIO (WEKA), the AI-native data platform company, today announced it is working with Contextual AI, the company building AI to change how the world works, to provide the data infrastructure underpinning its Contextual Language Models (CLMs). Contextual AI’s CLMs are trained using RAG 2.0, a proprietary next-generation retrieval-augmented generation (RAG) approach developed by Contextual AI, now powered by the WEKA® Data Platform. CLMs power safe, accurate, and trustworthy AI applications for Fortune 500 enterprises on Contextual AI’s platform.

Developing the Next Generation of Enterprise AI ModelsFounded in 2023, Contextual AI delivers a turnkey platform for building enterprise AI applications powered by its state-of-the-art RAG 2.0 technology. Unlike traditional RAG pipelines, which stitch together a frozen model for embeddings, a vector database for retrieval, and a black box generation model, RAG 2.0 provides a single end-to-end integrated system, enabling higher accuracy, better compliance, less hallucination, and the ability to attribute answers back to source documents.
Generative AI workloads have significant performance, data management, and computational power requirements that can make them time- and resource-intensive to train and serve. Contextual AI leverages large, diverse datasets to train its CLMs. While training, the company initially encountered performance bottlenecks and scale challenges that caused poor GPU utilization and delayed its AI model development times.
Architecting a Data Management System to Maximize GPU Utilization Increasing GPU utilization is critical to ensure AI systems and workloads run at peak efficiency. The WEKA Data Platform’s advanced AI-native architecture is purpose-built to accelerate every step of the AI pipeline, creating frictionless data pipelines that saturate GPUs with data to ensure they run more effectively so AI workloads run faster and more sustainably. Cloud and hardware-agnostic, WEKA’s software solution is designed to be deployed anywhere, and its zero-copy, zero-tune architecture dynamically supports every AI workload profile—handling metadata operations across millions of small files during model training and massive write performance during model checkpoint operations—in a single data platform.
Contextual AI deployed the WEKA Data Platform on Google Cloud to create a high-performance data infrastructure layer that manages all its datasets—100TBs in total—for AI model training. The WEKA platform delivered a significant leap in data performance that directly correlated to increasing developer productivity and accelerating model training times.
In addition to fast data movement from storage to accelerator, the WEKA platform provided Contextual AI with seamless metadata handling, checkpointing, and data preprocessing capabilities that have eliminated performance bottlenecks in its training processes, improved GPU utilization and helped lower its cloud costs.
“Training large-scale AI models in the cloud requires a modern data management solution that can deliver high GPU utilization and accelerate the wall clock time for model development,” said Amanpreet Singh, CTO & co-founder of Contextual AI. “With the WEKA Data Platform, we now have the robust data pipelines needed to power next-gen GPUs and build state-of-the-art generative AI solutions at scale. It works like magic to turn fast, ephemeral storage into persistent, affordable data.”Key Outcomes Achieved With the WEKA Data Platform:
3x Performance Improvements: Achieved a threefold increase in performance for key AI use cases thanks to a significant increase in GPU utilization.4x Faster AI Model Checkpointing: Eliminated delays in model checkpoint completion to achieve a 4x improvement in checkpointing processes, dramatically improving developer productivity.38% Cost Reduction: Associated cloud storage costs were reduced by 38 percent per terabyte.”Generative AI holds virtually unlimited potential to unlock insights and new value creation for enterprises, but many are still challenged with where to begin and how to move their AI projects forward,” said Jonathan Martin, president at WEKA. “Contextual AI is innovating the future of enterprise AI by creating advanced generative AI solutions that help organizations tap AI’s potential much, much faster. WEKA is proud to be helping Contextual AI overcome critical data management challenges to accelerate training of reliable, trustworthy AI models that will advance the AI revolution.”
To learn more about how Contextual AI works with WEKA to power its enterprise AI solutions, visit: https://www.weka.io/customers/contextual-ai/.
About Contextual AI Contextual AI’s mission is to change the way the world works through AI. Trusted by Fortune 500 companies, the Company automates complex tasks, allowing knowledge workers to focus on high-value activities. Co-founder and CEO Douwe Kiela, who pioneered the original industry-standard RAG technique, leads our team of top experts alongside Co-founder and CTO Amanpreet Singh. The team is advancing customizable generative AI applications with state of the art RAG 2.0 technology and end-to-end machine learning for enterprises across multiple use cases and sectors, including banking, semiconductors, media, and more. Headquartered in Mountain View, with offices in New York and London, Contextual AI employs over 30 people. Learn more at https://contextual.ai.
About WEKA WEKA is architecting a new approach to the enterprise data stack built for the AI era. The WEKA® Data Platform sets the standard for AI infrastructure with a cloud and AI-native architecture that can be deployed anywhere, providing seamless data portability across on-premises, cloud, and edge environments. It transforms legacy data silos into dynamic data pipelines that accelerate GPUs, AI model training and inference, and other performance-intensive workloads, enabling them to work more efficiently, consume less energy, and reduce associated carbon emissions. WEKA helps the world’s most innovative enterprises and research organizations overcome complex data challenges to reach discoveries, insights, and outcomes faster and more sustainably – including 12 of the Fortune 50. Visit www.weka.io to learn more, or connect with WEKA on LinkedIn, X, and Facebook.
See why WEKA has been recognized as a Visionary for three consecutive years in the Gartner® Magic Quadrant™ for Distributed File Systems and Object Storage – get the report.
WEKA and the WEKA logo are registered trademarks of WekaIO, Inc. Other trade names used herein may be trademarks of their respective owners.
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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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September 20, 2024

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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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September 19, 2024

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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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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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September 19, 2024

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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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–  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.
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–  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.
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