Quantiphi Conversational AI Integrations

Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.

Looker reinvents the way business intelligence (BI) works by delivering an entirely new kind of data discovery solution that modernizes BI in three important ways. A simplified web-based stack leverages our 100% in-database architecture, so customers can operate on big data and find the last mile of value in the new era of fast analytic databases. An agile development environment enables today’s data rockstars to model the data and create end-user experiences that make sense for each specific business, transforming data on the way out, rather than on the way in. At the same time, a self-service data-discovery experience works the way the web works, empowering business users to drill into and explore very large datasets without ever leaving the browser. As a result, Looker customers enjoy the power of traditional BI at the speed of the web.

Open source platform for machine learning. TensorFlow is a machine learning platform that is open-source and available to all. It offers a flexible, comprehensive ecosystem of tools, libraries, and community resources that allows researchers to push the boundaries of machine learning. Developers can easily create and deploy ML-powered applications using its tools. Easy ML model training and development using high-level APIs such as Keras. This allows for quick model iteration and debugging. No matter what language you choose, you can easily train and deploy models in cloud, browser, on-prem, or on-device. It is a simple and flexible architecture that allows you to quickly take new ideas from concept to code to state-of the-art models and publication. TensorFlow makes it easy to build, deploy, and test.

AWS offers a wide range of services, including database storage, compute power, content delivery, and other functionality. This allows you to build complex applications with greater flexibility, scalability, and reliability. Amazon Web Services (AWS), the world's largest and most widely used cloud platform, offers over 175 fully featured services from more than 150 data centers worldwide. AWS is used by millions of customers, including the fastest-growing startups, large enterprises, and top government agencies, to reduce costs, be more agile, and innovate faster. AWS offers more services and features than any other cloud provider, including infrastructure technologies such as storage and databases, and emerging technologies such as machine learning, artificial intelligence, data lakes, analytics, and the Internet of Things. It is now easier, cheaper, and faster to move your existing apps to the cloud.

Now, organizations can provide Google-quality searches, browsing, and recommendations to their own digital properties. This will help increase conversions and decrease search abandonment. Utilizing Google-quality search features can reduce search abandonment. Searching for products using images can enhance the shopping experience. Personalizing the shopping experience will improve conversion and order values. Retail Search and Browse allows retailers to implement Google-quality experiences, which are customizable and built on Google's understanding user intent and context. Recommendations AI is able to understand the nuances behind SKUs, context and customer behavior in order for it to drive engagement across all channels. Uses ML-powered lookup and object recognition to provide real-time, relevant results for similar or complementary items in your product catalog.

Structure document data you can store, search, analyze and use to automate process. Document AI extracts, classifies and splits data from documents using a set of pre-trained or Workbench custom models. Lastly, you can use the warehouse to search for and store documents. Manage the entire lifecycle of unstructured documents with a single solution. Reduce manual document processing costs, reduce setup costs, and speed up deployment. Use document data to gain new insight about your products and meet your customers' expectations. Improve operational efficiency by extracting data from unstructured files and making it available to your apps and users. Automate and validate your documents to streamline compliance processes, reduce guesswork and ensure data accuracy and compliance. Use insights to meet customer needs and improve CSAT, advocacy and lifetime value.