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Average Ratings 0 Ratings
Description
Lumi offers groundbreaking interaction capabilities with unstructured data, enhancing your organization’s potential for growth. This conversational module is designed atop our foundational AI model, “Luminous,” enabling seamless connectivity to your data and information. Once connected, you're all set to engage in meaningful dialogue! By utilizing our Lumi module, you can develop or implement a conversational agent that allows for instant interaction with your data. Notably, Lumi does not learn from your data, which ensures privacy and security. Additionally, it can embody various character traits to adapt to the diverse language styles of customers. Whether you ask a question in German or any other language, the underlying dataset's language becomes irrelevant. This means reaching a wider audience, regardless of their grammar or spelling mistakes. Trust in the sources from which Lumi derives its answers while benefiting from our knowledge worker modules, which provide enhanced access to and management of unstructured data. This capability enables the creation of digital tools and products that contribute to your value generation. Ultimately, Lumi is not just a tool; it is a transformative solution that empowers organizations to leverage their data more effectively than ever before.
Description
Collect, normalize, and standardize your data from a variety of sources and formats. Ensure that all types of information, whether pertaining to businesses or individuals, are normalized, regardless of whether they are structured or unstructured. This process employs advanced supervised machine learning techniques based on neural networks to comprehend the intricacies and variations present in diverse information types while automating the data parsing. Spectrum Quality is particularly well-equipped to cater to international clients who demand comprehensive data standardization and transliteration across multiple languages, including culturally specific terms in Arabic, Chinese, Japanese, and Korean. Our cutting-edge text-processing capabilities facilitate the extraction of information from any natural language input and effectively categorize unstructured text. By utilizing pre-trained models alongside machine learning algorithms, you can identify entities and further customize your models to accurately define specific entities relevant to any domain or category, enhancing the overall flexibility and applicability of the data processing solutions we offer. As a result, clients can achieve a more refined and efficient data management and analysis process.
API Access
Has API
No
API Access
Has API
No
Pricing Details
€1 per 5 credits
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Aleph Alpha
Country
Germany
Website
www.aleph-alpha.com
Vendor Details
Company Name
Precisely
Founded
1968
Country
United States
Website
www.precisely.com/product/precisely-spectrum-quality/spectrum-quality
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Product Features
Data Quality
Address Validation
Yes
Data Deduplication
Yes
Data Discovery
No
Data Profililng
No
Master Data Management
No
Match & Merge
Yes
Metadata Management
No