Quantiphi Conversational AI Integrations

Google Cloud is a cloud-based service that allows you to create anything from simple websites to complex applications for businesses of all sizes. New customers get $300 in free credits to run, test, and deploy workloads. All customers can use 25+ products for free, up to monthly usage limits. Use Google's core infrastructure, data analytics & machine learning. Secure and fully featured for all enterprises. Tap into big data to find answers faster and build better products. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. From virtual machines with proven price/performance advantages to a fully managed app development platform. Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and messaging.

Looker, Google Cloud’s business intelligence platform, enables you to chat with your data. Organizations turn to Looker for self-service and governed BI, to build custom applications with trusted metrics, or to bring Looker modeling to their existing environment. The result is improved data engineering efficiency and true business transformation. Looker is reinventing business intelligence for the modern company. Looker works the way the web does: browser-based, its unique modeling language lets any employee leverage the work of your best data analysts. Operating 100% in-database, Looker capitalizes on the newest, fastest analytic databases—to get real results, in real time.

An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.

Whether you're looking for compute power, database storage, content delivery, or other functionality, AWS has the services to help you build sophisticated applications with increased flexibility, scalability and reliability. Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 175 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster. AWS has significantly more services, and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. This makes it faster, easier, and more cost effective to move your existing applications to the cloud.

Organizations now have the ability to provide Google-quality search, browse, and recommendations on their own digital properties, helping to increase conversions and reduce search abandonment. Reduce search abandonment by leveraging Google-quality search capabilities. Enhance the shopping experience by making it easier to search for products with an image. Improve conversion and order value by personalizing the shopping experience. With Retail Search and browse, retailers can implement Google-quality experiences that are customizable and built upon Google’s understanding of user intent and context. Recommendations AI can understand nuances behind customer behavior, context, and SKUs in order to drive engagement across channels through relevant recommendations. Uses ML-powered object recognition and lookup to provide real-time results of similar, or complementary, items from your product catalog.

Structure document data that you can store, analyze, search, and use to automate processes. Document AI extracts data from, classifies, and splits documents through a suite of pre-trained models or through Workbench custom models. Finally, use warehouse to search and store documents. Manage the entire unstructured document lifecycle in one unified solution. Reduce manual document processing, minimize setup costs, and accelerate deployment. Use your document data to gain new insights about your products and meet customer expectations. Improve operational efficiency by extracting structured data from unstructured documents and making that structured data available to your business apps and users. Automate and validate all your documents to streamline compliance workflows, reduce guesswork, and keep data accurate and compliant. Leverage insights to meet customer expectations and improve CSAT, advocacy, lifetime value, and spend.