Resolver
More than 1,000 organizations globally rely on Resolver’s software for security, risk management, and compliance. This includes a diverse range of sectors such as healthcare, educational institutions, and vital infrastructure entities like airports, utility companies, manufacturers, hospitality businesses, technology firms, financial services, and retail outlets. For those in leadership roles focused on security and risk management seeking innovative methods to handle incidents and mitigate risks, Resolver offers a pathway to transition from merely addressing incidents to gaining valuable insights. With its comprehensive solutions, Resolver empowers organizations to enhance their overall risk management strategies effectively.
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Now Commerce
Now Commerce is an online B2B eCommerce platform that integrates smoothly with QuickBooks, enabling wholesalers, manufacturers, and distributors to manage orders from their wholesale clients effectively using a streamlined dashboard. As orders come in, they are automatically synced with QuickBooks, removing the hassle of manual entry. This system is compatible with both QuickBooks Desktop and QuickBooks Online, ensuring broad accessibility for users. Additionally, Now Commerce provides versatile modules that can function independently or be combined to create a customized B2B eCommerce experience. The B2B CUSTOMER PORTAL allows wholesale clients to easily place orders online, enhancing convenience and efficiency. Meanwhile, the SALES REP PORTAL empowers sales representatives to enter orders online for their assigned accounts, fostering exceptional customer service from any location. Lastly, the SHIPMENTS MANAGER simplifies the process of dispatching shipment requests to your 3PL provider or in-house shipping software, while also capturing confirmations of completed shipments, ensuring a smoother logistical operation. This comprehensive approach not only streamlines operations but also enhances the overall experience for both businesses and their customers.
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ModerateContent
This service is celebrated for its role in protecting online communities from unsuitable content, featuring an API that can be effortlessly integrated into websites, applications, or various platforms. It assesses animated visuals and assigns ratings that reflect their appropriateness for different demographics—be it adults, teenagers, or general audiences—while also tagging images with relevant identifiers. The system is capable of recognizing visible anime characters and can determine any copyright details concerning the image material. In addition to this, it evaluates text in 27 different languages, identifying any offensive terms and offering a cleaned-up version for safer viewing. It also includes functionality to examine images for text extraction from QR codes, thereby broadening its range of potential uses. This tool is ultimately crafted to maintain content safety and adherence to guidelines for all users, ensuring a secure online environment for everyone involved. It stands as a crucial asset for developers seeking to create inclusive and compliant digital spaces.
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Amazon Rekognition
Amazon Rekognition streamlines the process of incorporating image and video analysis into applications by leveraging robust, scalable deep learning technologies, which require no prior machine learning expertise from users. This advanced tool is capable of detecting a wide array of elements, including objects, people, text, scenes, and activities in both images and videos, as well as identifying inappropriate content. Additionally, it provides accurate facial analysis and search capabilities, making it suitable for various applications such as user authentication, crowd surveillance, and enhancing public safety measures.
Furthermore, the Amazon Rekognition Custom Labels feature empowers businesses to identify specific objects and scenes in images that align with their unique operational needs. For example, a company could design a model to recognize distinct machine parts on an assembly line or monitor plant health effectively. One of the standout features of Amazon Rekognition Custom Labels is its ability to manage the intricacies of model development, allowing users with no machine learning background to successfully implement this technology. This accessibility broadens the potential for diverse industries to leverage the advantages of image analysis while avoiding the steep learning curve typically linked to machine learning processes. As a result, organizations can innovate and optimize their operations with greater ease and efficiency.
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