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Description
Enhance your ability to manage processes beyond the limits of existing systems by identifying opportunities for control advancements in real-time data streams. Implement closed-loop control strategies to optimize operations effectively. Seamlessly connect legacy system frameworks with modern insights and data through a robust software integration layer. Transform your workflows and tasks into control applications designed to boost operational efficiency and enhance team productivity. Oversee, adjust, and refine control applications that actively contribute to your business's value generation. Utilize straightforward tools to integrate diverse data streams into a cohesive platform. Ensure the delivery of top-notch information by continuously refining and enhancing data as it is processed. Streamline the development of control applications by establishing a comprehensive data model. Detect patterns and anomalies in your streaming data to inform and improve control-related decisions. By leveraging these strategies, organizations can position themselves for significant advancements in their operational capabilities.
Description
A low-code, no-code strategy enhances data quality management. This software-as-a-service (SaaS) model offers flexibility, cost-effectiveness, seamless integration, and robust support options. It maintains rigorous standards for encryption, identity management, role-based access control, data governance, and compliance. Utilizing advanced machine learning algorithms, it identifies anomalies in row-value data, with the capability to evolve alongside the unique requirements of users' businesses and datasets. Users can incorporate numerous data sources, records, and attributes effortlessly, making the platform resilient to unexpected increases in data volume. It accommodates both batch and streaming processing, ensuring that data is consistently monitored to provide real-time alerts without affecting pipeline performance. The platform offers a smooth onboarding, integration, and investigation process, making it accessible to data teams aiming to proactively spot and analyze anomalies as they arise. With a no-code onboarding process, users can simply connect to their data sources and set their alerting preferences. Telmai intelligently adapts to data patterns, notifying users of any significant changes, ensuring that they remain informed and prepared for any data fluctuations.
API Access
Has API
API Access
Has API
Integrations
Amazon Kinesis
Amazon Redshift
Amazon S3
Amazon Simple Queue Service (SQS)
Apache Airflow
Apache Kafka
Apache Spark
Armada.ai
Azure Blob Storage
Azure Service Bus
Integrations
Amazon Kinesis
Amazon Redshift
Amazon S3
Amazon Simple Queue Service (SQS)
Apache Airflow
Apache Kafka
Apache Spark
Armada.ai
Azure Blob Storage
Azure Service Bus
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Kelvin
Founded
2013
Country
United States
Website
kelvin.ai/
Vendor Details
Company Name
Telmai
Country
United States
Website
www.telm.ai/product-overview
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Product Features
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management