article thumbnail

Business leaders highlight the need for a hybrid cloud approach to unlock the power of generative AI

IBM Big Data Hub

When executing an AI strategy, enterprises need to consider their current compute capacity, where data resides—in the cloud, on premises, at the edge—how data is accessed, necessary security controls, and how to use existing technology investments effectively.

Cloud 91
article thumbnail

Doing Cloud Migration and Data Governance Right the First Time

erwin

But even with the “need for speed” to market, new applications must be modeled and documented for compliance, transparency and stakeholder literacy. Model cloud data structures: erwin DM converts, modifies and models the new cloud data structures. Request an erwin Cloud Catalyst assessment.

Cloud 145
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Data governance use cases – 3 ways to implement

Collibra

Data lake management: Prevent a data swamp. A data lake is a storage repository that holds a vast amount of raw data in its native format, including structured, semi-structured and unstructured data. The data structure and requirements are not defined until the data is needed.

article thumbnail

Synthetic data generation: Building trust by ensuring privacy and quality

IBM Big Data Hub

With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured.

Privacy 87
article thumbnail

The Impacts of Data Loss on Your Organization

Security Affairs

Understanding the different types of data is crucial for organizations as it helps them devise appropriate data protection and management strategies. Data can be classified into; Structured Data: Structured data refers to information that is organized in a predefined format.

article thumbnail

The business value of operating core insurance solutions on the cloud

IBM Big Data Hub

To accelerate speed-to-market, grow the business with new innovative products and services, gain new and deeper risk insights, and improve customer experience, most companies are also emphasizing digital transformation. Private equity has entered this market and set up consolidator subsidiaries.

article thumbnail

Integrating SQL and NoSQL into Data Modeling for Greater Business Value: The Latest Release of erwin Data Modeler

erwin

Due to the prevalence of internal and external market disruptors, many organizations are aligning their digital transformation and cloud migration efforts with other strategic requirements (e.g., compliance with the General Data Protection Regulation).