D&B Hoovers can help you create a more profitable relationship from prospect to client faster. Find key prospects and growth opportunities. D&B Hoovers, a sales acceleration solution, provides a faster path to prospect to profitable relationship through the use of data and analytics. B2B sales professionals can connect with customers faster to grow their businesses. Access detailed intelligence on over 120 million business records. Provide insight and intelligence into the tools that your marketers and sellers use every day. A user-friendly interface and automated workflow features, including triggers, alerts and smart lists, as well as intuitive search and conceptual search. D&B Hoovers combines Dun & Bradstreet's largest commercial database with sophisticated analytics to provide a rich sales intelligence solution. D&B Hoovers provides dynamic search and list-building capabilities as well as realtime trigger alerts, detailed company profiles and valuable research reports.
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With TrafficGuard, you can put an end to the worry of polluted traffic disrupting your campaign success.
Our advanced ML/AI-powered technology identifies and blocks both simple and complex fraudulent traffic in real time, ensuring your ad spend targets genuine, high-quality clicks and conversions. This leads to better campaign outcomes and an enhanced return on ad spend (ROAS).
This robust solution safeguards every dollar of your advertising budget, allowing you to concentrate on reaching your marketing objectives without stress. Let TrafficGuard handle ad fraud protection, so you can confidently manage your:
Google Search (PPC) campaigns
Mobile user acquisition campaigns
Affiliate spending
Social media advertising
In addition to our technology, we provide expert campaign management and exceptional customer support, making us a reliable partner for all your ad fraud protection needs.
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MERLIN Tempus EE
The MERLIN Tempus Enterprise Edition (EE) enhances the functionality of MERLIN Tempus by incorporating full Overall Equipment Effectiveness (OEE), an adaptive job scheduling feature, and seamless integration with Enterprise Resource Planning (ERP) systems. The data from ERP systems plays a crucial role in tracking the overhead costs associated with manufacturing operations. For instance, when a customer inquires about the status of an order, a factory's front office team without MERLIN Tempus EE would need to manually search for the work order and physically check on the location of the components on the production floor. However, with the integration of the ERP-connected MERLIN Tempus EE dashboard, the team can quickly access real-time information about the part's status in the manufacturing workflow and its estimated completion time for shipping. This real-time data feed enhances the relevance of the ERP system, thereby reducing uncertainties in fulfilling customer timelines and enhancing overall satisfaction. Ultimately, MERLIN Tempus EE transforms the way factories manage their operations, making it significantly more efficient and responsive to customer needs.
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NVIDIA Merlin
NVIDIA Merlin equips data scientists, ML engineers, and researchers with the tools necessary to create scalable, high-performance recommendation systems. This suite includes libraries, methodologies, and various tools that simplify the process of building recommenders by tackling prevalent issues related to preprocessing, feature engineering, training, inference, and production deployment. Optimized components within Merlin facilitate the retrieval, filtering, scoring, and organization of vast data sets, often reaching hundreds of terabytes, all accessed via user-friendly APIs. The implementation of Merlin enables enhanced predictions, improved click-through rates, and quicker production deployment, making it an essential resource for professionals. As a part of NVIDIA AI, Merlin exemplifies the company's dedication to empowering innovative practitioners in their work. Furthermore, this comprehensive solution is crafted to seamlessly integrate with existing recommender systems that leverage both data science and machine learning techniques, ensuring that users can build on their current workflows effectively.
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