What is DataOps?
The core technology for streamlining and automating the end-to-end data operations process
to efficiently manage and deliver high-quality data for analytics, AI, and other data-driven initiatives.
Benefits of Data Operations
Improved
Data Quality
Easy Access
Decoupling data
from underlying
business applications
Increased Efficiency
and Productivity
Faster Time
to Insights
Complete Data
Access Control
and Governance
Real-Time
data delivery
Why Choose Axys?
Unleash the Economic Impact of Axys’ Data Operations
Accelerate Time to Market
Enhance IT Agility
Reduce Data Replication
Increase Employee Productivity
Security and Privacy Compliance
Data Ownership
Centralize Control and Governance
Seamless Legacy Replacement, Cloud Migrations, and Multi-Cloud Deployments
Empower AI and ML
Initiatives
DataOps and Generative AI Applications
The adoption of generative AI applications within the enterprise is on the rise, with a 2020 survey by Deloitte revealing that 53% of enterprises are already leveraging AI and machine learning technologies in their business processes, a number projected to increase in the future. However, one of the primary challenges lies in acquiring substantial volumes of high-quality data to train and utilize AI models, necessitating significant investments in robust data collection and management infrastructure for AI applications.
To address this challenge, Axys DataOps Platform saves engineering time by handling all aspects of data operations, including pipelining, indexing, normalization, prioritization, security, sovereignty, and governance.
Call to Action – Free Trial
Blog
Discover the overlooked ROI of an enterprise data platform
Common Use Cases of Data Fabric with Search
