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Keep your best performers invested with a robust LTI program that clearly communicates when and how they will be rewarded. HRSoft makes it easy by automating the entire LTI process for any deferred cash or phantom stock program.

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Adapt your existing technology to a hybrid cloud designed with flexibility and scale in mind.

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Cloud Memorystore for Redis provides a fully managed in-memory data store service built on scalable, secure, and highly available infrastructure managed by Google. Use Cloud Memorystore to build application caches that provides sub-millisecond data access. Cloud Memorystore is compatible with the Redis protocol, allowing easy migration with zero code changes.

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Upside is a revenue attribution and GTM intelligence platform that unifies sales and marketing data from systems like Salesforce, HubSpot, Marketo, and Gong. Its graph-based data engine reconstructs missing touchpoints and reconciles conflicting records to build a complete picture of the customer journey. AI-powered analysis surfaces the signals that actually influence deals, enabling revenue teams to understand campaign impact, diagnose pipeline health, and make budget decisions based on eviden

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Grammar Check, Spellcheck, and Proofread

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Google Cloud AutoML is a suite of machine learning products designed to enable developers with limited expertise to train high-quality custom models tailored to their specific business needs. By leveraging Google's advanced transfer learning and neural architecture search technologies, AutoML simplifies the process of building, deploying, and scaling machine learning models, making AI more accessible to a broader audience. Key Features and Functionality: - Automated Model Training: AutoML auto

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Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness.

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Build apps that fill gaps, like accelerating business workflows or scaling internal operations, with G Suite’s low-code development environment. App Maker is included with G Suite Business and Enterprise editions, as well as with G Suite for Education.

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Gemini is a family of multimodal, generative AI models. These models were developed by Google DeepMind and Google Research. They are designed to understand, operate across, and combine different types of information. This includes text, images, audio, video, and code. Gemini serves as a versatile, everyday AI assistant and powers a conversational chatbot. Key Product Features & Capabilities Multimodal Understanding: Gemini understands and combines text, images, audio, video, and code.

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Recommendations AI Deliver highly personalized product recommendations at scale.

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Google Drive & Docs for Confluence is a powerful integration tool designed to bridge the gap between Atlassian's Confluence and Google's suite of productivity applications. By seamlessly embedding Google Drive files—such as Docs, Sheets, and Slides—directly into Confluence pages, this add-on enhances collaboration and streamlines workflows. Users can insert human-readable links, embed individual files, or display entire folders from Google Drive within their Confluence environment. This inte

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Cloud Identity-Aware Proxy (Cloud IAP) controls access to user cloud applications running on Google Cloud Platform.

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Google Cloud Search is an enterprise search solution that leverages Google's powerful search capabilities to help organizations efficiently access and manage their internal information. Integrated seamlessly with Google Workspace, it enables users to search across various applications such as Gmail, Drive, Docs, Sheets, Slides, and Calendar, delivering relevant results and proactive suggestions to enhance productivity. Key Features and Functionality: - Comprehensive Search Capabilities: Utili

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Google Cloud AI Infrastructure offers a scalable, high-performance, and cost-effective platform tailored for diverse AI workloads, encompassing both training and inference tasks. By integrating advanced hardware accelerators such as GPUs and TPUs with managed services like Vertex AI and Google Kubernetes Engine (GKE), it enables efficient development, deployment, and scaling of AI models. Key Features and Functionality: - Flexible and Scalable Hardware: Provides a wide range of AI-optimized co

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Preconfigured and optimized containers for deep learning environments.

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afi.ai develops innovative cloud data management platform, based on enterprise-grade architecture and Artificial Intelligence engine that provides consumer-grade simplicity.

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Tailor your marketing measurement approach to your unique business needs. Ads Data Hub enables customized analysis that aligns with your specific business objectives, while respecting user privacy and upholding Google’s high standards of data security.

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Google Cloud SQL for SQL Server is a fully managed relational database service that enables users to run Microsoft SQL Server databases on Google Cloud's infrastructure. This service automates essential database management tasks such as backups, replication, patching, and maintenance, allowing businesses to focus on application development and data analysis without the operational overhead of database administration. Key Features and Functionality: - Managed Database Service: Automates routine

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Google Fit SDK is a comprehensive set of APIs that enables developers to build health and fitness applications by accessing and managing user fitness data across Android devices and wearables. It provides a unified platform for collecting, storing, and sharing health-related information, facilitating the creation of personalized fitness experiences. Key Features and Functionality: - Data Collection: Aggregates data from various sensors and devices, including steps, heart rate, and sleep patter

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Percona Server for MongoDB is a free and open-source drop-in replacement for MongoDB Community Edition. It combines all the features and benefits of MongoDB Community Edition with enterprise-class features from Percona. Built on the MongoDB Community Edition, Percona Server for MongoDB provides flexible data structure, native high availability, easy scalability, and developer-friendly syntax. It also includes an in-memory engine, hot backups, LDAP authentication, database auditing, and log redacti