AI Accelerators Driving Impact in Enterprises
Generative AI-based Accelerators
Rekoncile
Product Data: Named-Entity Extraction, Disambiguation, and Reconciliation
Match the company's master product data with the retailer’s product data (image and description) for faster sales data reconciliation across channels.
TXTSense
Insights from Unstructured Text
Mine unstructured text data to find meaningful insights in the form of topic discovery (themes and sub-themes), sentiment analysis, and emotion detection for product improvement, brand perception analysis, competitor analysis, and more.
VideoSense
Speaker Diarization, Video Analytics,
Generate insights from videos of discussions/meetings and presentations. Extract speaker-wise transcripts, speaker-wise summaries, common topics among speakers, key phrases spoken by each speaker, video summary, keyframes in the video, and more.
SuperSearch
Search & Knowledge Extraction
Redefine the way you search and consume content. Gain comprehensive insights from structured and unstructured enterprise data repositories with hyper-relevant search results, content summaries, key topics, visual insights and data analysis through natural conversational modes.
Product Content Generation
Personalized, customized content at scale
Generate product content such as product title, product description, feature description, and more based on key attributes at scale. Drive revenue impact and enhanced customer experience with highly personalized marketing content for target customer segment personas in compliance with brand guidelines and campaign objectives
PersiaPlus
Advanced AI Chatbot
Chat with data in a natural human conversational manner and consume business insight in the form of advanced charts and narratives. Leverage the state-of-the-art, scalable, domain-specific chat-based solution with explainable causality and speech models to transform decision-making.
Synthetic Concept
Testing
Consumer Insights at Speed from Synthetic Data
Transform market research with rapid consumer insights from synthetic data. Create realistic market scenarios and test product concepts and marketing strategies at scale, dramatically accelerating innovation and responsiveness with minimal traditional real-world trials.
Other AI Accelerators
AssetPro
Insights on High-Potential Assets
Assess and benchmark early-stage molecules with near-real-time insights from an AI-based platform that tracks internal and external innovation through multiple data sources from the life sciences domain. Prioritize acquisition targets and internal asset investments based on expert analysis and the latest scientific research. Proactively identify opportunities and determine asset attractiveness aligned with your portfolio expansion plan.
Image Quality Assessment
Scored Image Quality
Assess image quality with a quality score based on the visual appeal of the image. Blurred or distorted images get a lower score, enabling you to prioritize and take remedial action.
Multi-Armed Bandit Algorithm
Content Optimization Recommendations
Minimize opportunity costs and maximize rewards in digital advertising with Multi-Armed Bandit-based recommendations. Determine the optimal option from content variations using a smaller sample size than required for traditional A/B testing, improving speed-to-market and campaign effectiveness.
Anomaly Detection
Real-time Sensor Data Monitoring
Identify normal and irregular operative conditions of a system through the analysis of data from multiple sensors using Multivariate Time-series Anomaly Detection, which leverages Graph Attention networks and is based on Custom as well as Azure Service (MVAD API).
Knowledge Graph
Integrated Product Data Access
Provide better, faster customer service by accessing product details from technical, operational, and user manuals represented in domain-specific taxonomy and ontology in Graph DB like Neo4J. Nodes in Neo4J Graph DB represent product-specific features or information or issues.
Data Loss Prevention
Data Privacy Automation
Use Course5’s Data Loss Prevention accelerator to automatically detect and redact sensitive Personally Identifiable Information (PII) data from modality as text, image, and audio based on a wide set of common PII recognizers leveraging Named Entity Recognition, regular expressions, rule-based logic and checksum with relevant context in multiple languages. Preserve privacy in a hassle-free way by democratizing de-identification technologies and introducing transparency in decisions
