|
The lightning-fast evolution of the AI landscape makes it a challenge for IT to integrate new AI systems and use cases into existing infrastructure. Our research provides a...
|
|
|
鈥婽he AI ecosystem is much more than just an AI model, requiring configuration, data collection, machine resource management, and more to drive value.
|
|
|
Explore how focusing on sustainable scale-out can help you avoid AI fragmentation in this keynote presentation delivered at Info-Tech LIVE 2025.
|
|
|
Learn more about adopting a CEO mindset and running IT by the numbers in this LIVE 2025 keynote presentation.
|
|
|
Generative AI introduces new risks, and several institutions are introducing guidance or legislation to mitigate the risks involved in deploying AI-based technologies.
|
|
|
The purpose of this project is to identify relevant capabilities to support your AI use case, validate AI use cases against business requirements, and select vendors to...
|
|
|
Business intelligence and analytics solutions are becoming increasingly essential tools, transforming organizational data into actionable insights that inform and guide...
|
|
|
Master data management (MDM) provides a single, reliable, and precise view of the organization. Approaching MDM with a clear blueprint that provides a step-by-step approach...
|
|
|
Data management has distinct phasing. Fitting all phases inside a single data warehouse environment creates an unmanageable monster. Instead, think of creating a...
|
|
|
Data teams struggle in many areas including a quick and iterative approach for converting an analytics/algorithm into a production-ready reusable and integrated software....
|
|
