OpenVINO vs. Taylor AI Comparison Chart

Fraud.net delivers the world’s most advanced infrastructure for fraud management – powered by a sophisticated collective intelligence network, world-class artificial intelligence, and a modern, cloud-based platform that helps you: * Unify fraud data from any source with a single connection * Detect fraudulent activity for 99.5%+ transactions in real-time * Optimize fraud management by uncovering hidden insights in terabytes of data Recognized in Gartner’s Market Guide for Online Fraud Detection, Fraud.net is a real-time, enterprise-strength fraud prevention and analytics solution organized around its business customers’ needs. Through a single point of command, it unifies and analyzes data from disparate systems and sources, tracks digital identities and behaviors, and then deploys the latest tools and technologies to stamp out fraudulent activity while allowing good transactions to sail through. Contact us today for a free trial.

Qloo is the “Cultural AI”, decoding and predicting consumer taste across the globe. A privacy-first API that predicts global consumer preferences and catalogs hundreds of millions of cultural entities. Through our API, we provide contextualized personalization and insights based on a deep understanding of consumer behavior and more than 575 million people, places, and things. Our technology empowers you to look beyond trends and uncover the connections behind people’s tastes in the world around them. Look up entities in our vast library spanning categories like brands, music, film, fashion, travel destinations, and notable people. Results are delivered within milliseconds and can be weighted by factors such as regionalization and real-time popularity. Used by companies who want to incorporate best-in-class data in their consumer experiences. Our flagship recommendation API delivers results based on demographics, preferences, cultural entities, metadata, and geolocational factors.

Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection.

Dialogflow from Google Cloud is a natural language understanding platform that makes it easy to design and integrate a conversational user interface into your mobile app, web application, device, bot, interactive voice response system, and so on. Using Dialogflow, you can provide new and engaging ways for users to interact with your product. Dialogflow can analyze multiple types of input from your customers, including text or audio inputs (like from a phone or voice recording). It can also respond to your customers in a couple of ways, either through text or with synthetic speech. Dialogflow CX and ES provide virtual agent services for chatbots and contact centers. If you have a contact center that employs human agents, you can use Agent Assist to help your human agents. Agent Assist provides real-time suggestions for human agents while they are in conversations with end-user customers.

Parallels® Remote Application Server (RAS) is a remote work solution that provides secure virtual access to business applications and desktops on any device or OS—from anywhere. The platform offers an agile, cloud-ready foundation and end-to-end security fueled by a centralized management console with granular policies. Companies can leverage on-premises, hybrid, or public cloud deployments and integrate with existing technology like Microsoft Azure and AWS. Parallels RAS aims to give organizations the flexibility, scalability, and IT agility to adapt to changing business needs. Parallels RAS offers a single, full-featured licensing model that includes 24/7 support and access to product training.

Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.

Embarcadero Dev-C++ is a new and improved fork (sponsored by Embarcadero) of Bloodshed Dev-C++ and Orwell Dev-C++. It is a full-featured Integrated Development Environment (IDE) and code editor for the C/C++ programming language. It uses Mingw port of GCC (GNU Compiler Collection) as its compiler. Embarcadero Dev-C++ can also be used in combination with Cygwin or any other GCC based compiler. Embarcadero Dev-C++ is built using the latest version of Embarcadero Delphi. Embarcadero Dev-C++ has a low memory footprint because it is a native Windows application and does not use Electron. Optimized for parallel compilation on modern multi-core machines.

Google Cloud’s Speech API processes more than 1 billion voice minutes per month with close to human levels of understanding for many commonly spoken languages. Powered by the best of Google's AI research and technology, Google Cloud's Speech-to-Text API helps you accurately transcribe speech into text in 73 languages and 137 different local variants. Leverage Google’s most advanced deep learning neural network algorithms for automatic speech recognition (ASR) and deploy ASR wherever you need it, whether in the cloud with the API, on-premises with Speech-to-Text On-Prem, or locally on any device with Speech On-Device.

With customers across 70+ countries, organizations of all sizes rely on Device42 as the most trusted, advanced, and complete full-stack agentless discovery and dependency mapping platform for Hybrid IT. With access to information that perfectly mirrors the reality of what is on the network, IT teams are able to run their operations more efficiently, solve problems faster, migrate and modernize with ease, and achieve compliance with flying colors. Device42 continuously discovers, maps, and optimizes infrastructure and applications across data centers and cloud, while intelligently grouping workloads by application affinities and other resource formats that provide a clear view of what is connected to the environment at any given time. As part of the Freshworks family, we are committed to, and you should expect us to provide even better solutions and continued support for our global customers and partners, just as we always have.

IBM watsonx Assistant (Formerly Watson Assistant) is a market-leading enterprise conversational AI platform that allows you to build intelligent virtual and voice assistants that can provide customers with fast, consistent and accurate answers across any messaging platform, application, device or channel. Using artificial intelligence and large language models, watsonx Assistant learns from customer conversations, improving its ability to resolve issues the first time while removing the frustration of long wait times, tedious searches and unhelpful chatbots. Most chatbots try to mimic human interactions, frustrating customers when a misunderstanding arises. IBM watsonx Assistant is more than a chatbot. It knows when to search for an answer from a knowledge base, when to ask for clarity and when to direct users to a human agent for more assistance. And since it can be deployed in any cloud or on-premises environment – smarter AI is finally available wherever you need it.