Scale vs. Snorkel AI Comparison Chart

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.

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.

Speechmatics is the most accurate and inclusive speech-to-text API ever released. Speechmatics is the world’s leading expert in Speech Intelligence, combining the latest breakthroughs in AI and ML to unlock the business value in human speech. Businesses use Speechmatics worldwide to accurately understand and transcribe human-level speech into text regardless of demographic, age, gender, accent, dialect, or location in real-time and on recorded media. Combining these transcripts with the latest AI-driven speech capabilities, businesses build products that utilize summarization, topic and chapter detection, sentiment analysis, translation, and more. Speechmatics processes over 500 years of transcription worldwide every month in 50 languages and can translate 69 language pairs. Having pioneered machine learning in speech recognition, its neural networks consider acoustics, languages, dialects, multiple speakers, punctuation, capitalization, context, and implicit meanings.

From effortlessly managing a deluge of invoices across various channels including email, vendor portals, chats, and more to seamlessly integrating with all finance ERPs including Oracle NetSuite, SAP, QuickBooks, etc., Neil handles the entire AP process without human intervention. This means AP teams get to focus on strategic initiatives while most of the day-to-day AP tasks are performed automatically by Neil with accuracy more than 85%. Going beyond the traditional RPA and OCR-based automation, Neil leverages advanced ICR, AI-powered workflows, and real-time vendor communication to ensure accurate data extraction, efficient processing, and timely payments—resulting in happier vendors and better discount opportunities for the enterprise. With Neil on your team, achieve remarkable 90% straight-through processing (STP) rates, eliminate human errors, and optimize vendor relationships like never before.

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.

BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven.

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.

Explore data and get instant insights by searching your corporate data - like Google for your data! Personalized, based on your interests, role, and history. Pin these insights to build personal pinboard/dashboards, share and collaborate on your insights and become truly data-driven. Quaeris is based on GPT (Generative pre-trained transformer), the same technology that drives ChatGPT. With Quaeris you get the security and privacy that your data deserves! Get GPT for your corporate data and enjoy the power of true self-service with Quaeris! Quaeris can be rolled out to team of 10s or 1000s of users seamlessly within a matter of days - without much need of IT, and that is why IT & data teams love us!

kama DEI truly understands the context and human impact of your situation or inquiry the way people do. Our Natural Language Understanding technology, combined with our proprietary knowledge base, mirrors the way humans understand and infer the more complex meanings behind the literal typed or spoken words. Our knowledge base is easily configured in natural language, and guided by human values, that we all understand. Conversation journeys deliver prioritized product and service information, directly the way your subject matter experts, product marketers, support technicians, or service practitioners wish to convey it. No data scientists or programmers are required. Our Virtual Agents can support your organization over website chat interfaces interface, Facebook Messenger, smart speakers, or from within mobile applications. Ultimately, we get the right information, to the right people, at the right time, increasing client engagement, 24x7, and building your brand's loyalty.

(Bank CFO) “I don’t have confidence and trust in our data. We keep discovering hidden risks”. Since 70% of data initiatives fail due to unreliable data (Gartner research), are you risking your reputation by trusting the accuracy of your data that you share with your business stakeholders and partners? Data Trust Scores must be measured in Data Lakes, warehouses, and throughout the pipeline, to ensure the data is trustworthy and fit for use. It typically takes 4-6 weeks of manual effort just to set a file or table for validation. Then, the rules have to be constantly updated as the data evolves. The only scalable option is to automate data validation rules discovery and rules maintenance. DataBuck is an autonomous, self-learning, Data Observability, Quality, Trustability and Data Matching tool. It reduces effort by 90% and errors by 70%. "What took my team of 10 Engineers 2 years to do, DataBuck could complete it in less than 8 hours." (VP, Enterprise Data Office, a US bank)