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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Constructing effective models requires high-quality data. Currently, over 80% of data is unstructured, encompassing formats such as documents, reports, text, and images. For language models, discerning which segments of this data are pertinent, obsolete, inconsistent, and secure is essential. Neglecting this crucial step can result in the unsafe and unreliable implementation of artificial intelligence. Ensuring proper data curation is vital for fostering trust and effectiveness in AI applications.

Description

Effectively managing data throughout its lifecycle enables organizations to better achieve their business objectives while minimizing potential risks. It is essential to archive data from obsolete applications and past transaction records, ensuring that access remains available for compliance-related queries and reporting. By scaling data across various applications, databases, operating systems, and hardware platforms, organizations can enhance the security of their testing environments, speed up release cycles, and lower costs. Without proper data archiving, the performance of critical enterprise systems can suffer significantly. Addressing data growth directly at the source not only boosts efficiency but also reduces the risks tied to managing structured data over time. Additionally, safeguarding unstructured data within testing, development, and analytics environments across the organization is crucial for maintaining operational integrity. Ultimately, the absence of a robust data archiving strategy can hinder the effectiveness of vital business systems. Taking proactive steps to manage data effectively is key to fostering a more agile and resilient enterprise.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Box
Claude
Dropbox
IBM ILOG CPLEX Optimization Studio
IBM InfoSphere Optim Data Privacy
Llama
Llama 2
Llama 3
Llama 3.1
Llama 3.2
Llama 3.3
Microsoft SharePoint
OpenAI

Integrations

Box
Claude
Dropbox
IBM ILOG CPLEX Optimization Studio
IBM InfoSphere Optim Data Privacy
Llama
Llama 2
Llama 3
Llama 3.1
Llama 3.2
Llama 3.3
Microsoft SharePoint
OpenAI

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

Deasie

Website

deasie.com

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/analytics/optim

Product Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Product Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

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