article thumbnail

The key to operational AI: Modern data architecture

CIO Business Intelligence

Technology: The workloads a system supports when training models differ from those in the implementation phase. To succeed, Operational AI requires a modern data architecture. However, the biggest challenge for most organizations in adopting Operational AI is outdated or inadequate data infrastructure.

article thumbnail

Equinix to cut 3% of staff amidst the greatest demand for data center infrastructure ever

Network World

Skills in architecture are also in high demand, as power-hungry AI systems require rethinking of data center design. Additionally, the industry is looking for workers with knowledge of cloud architecture and engineering, data analytics, management, and governance skills.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Cyber Guardians: INE Security Champions Cybersecurity Training During National Physicians Week 2025

CIO Business Intelligence

INE Security , a global provider of cybersecurity training and certification, today announced its initiative to spotlight the increasing cyber threats targeting healthcare institutions. Continuous training ensures that protecting patient data and systems becomes as second nature as protecting patients physical health.

Training 213
article thumbnail

IBM: 78% of mainframe shops are piloting, operating AI apps

Network World

Hybrid by design The mainframe’s ability to be integrated with and modernized by cloud computing architectures is an integral part of its future role. Most enterprises have built tech estates on hybrid cloud architecture, the researchers stated. “In

IBM 468
article thumbnail

7 types of tech debt that could cripple your business

CIO Business Intelligence

Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture. Build up: Databases that have grown in size, complexity, and usage build up the need to rearchitect the model and architecture to support that growth over time.

article thumbnail

Sustainability, grid demands, AI workloads will challenge data center growth in 2025

Network World

Data centers this year will face several challenges as the demand for artificial intelligence introduces an evolution in AI hardware, on-premises and cloud-based strategies for training and inference, and innovations in power distributionsall while opposition to new data center developments continues to grow.

article thumbnail

Are enterprises ready to adopt AI at scale?

CIO Business Intelligence

To overcome those challenges and successfully scale AI enterprise-wide, organizations must create a modern data architecture leveraging a mix of technologies, capabilities, and approaches including data lakehouses, data fabric, and data mesh. Another challenge here stems from the existing architecture within these organizations.