News
-
23 Oct 2026 / Data Management
Meta's $25B fine underscores risks of data privacy missteps
The fine imposed by a New Mexico judge shows how serious the consequences of misusing customer data can be for companies, as the risks of that grow in the AI era.
-
23 Oct 2026 / Emerging Tech
Siemens, Nvidia deploy industrial AI to reduce engineering effort
The partners are using digital twins and AI agents as part of a roadmap to create AI-powered manufacturing facilities.
-
23 Oct 2026 / CIO Strategy
AI cost controls lag as CFOs' influence grows, Deloitte finds
CFOs are taking a bigger role in AI investments, but spending controls aren't keeping pace. Deloitte found 53% still review AI usage costs after the fact.
-
23 Oct 2026 / Emerging Tech
Prompt: AI moves beyond the screen
Physical AI is pushing artificial intelligence into robots, factories and other real-world environments, where understanding language is only part of the challenge.
-
22 Oct 2026 / CIO Strategy
Contact center AI isn't making the work disappear
Is your contact center AI going to be a concierge or a bouncer? That's the decision to make before you turn it on, said ICMI co-founder Brad Cleveland.
-
22 Oct 2026 / Application Architecture
AI factories package Nvidia reference architecture, but who's buying?
Nvidia partners bundle the OpenShell Reference Architecture's infrastructure-level AI safeguards in AI factories, but enterprise adoption numbers remain elusive.
Technology Insights
-
23 Oct 2026 / Enterprise Risk Management
Cyber insurance explained, from selection to post-purchase
Before you sign on the dotted line, make sure you understand what cyber insurance can and can't do -- and what type of policy will do the most for your organization.
-
23 Oct 2026 / ERP & Supply Chain
13 notable ERP implementation failures and why they failed
ERP consultants share takeaways from spectacular failures like Revlon, National Grid, Nike and MillerCoors and give advice on avoiding pitfalls, including bad AI implementations.
-
23 Oct 2026 / Data Center
AI inference is changing data center design requirements
AI inference requires distinct infrastructure compared to training, focusing on low latency, appropriate hardware based on workload, and tailored power and cooling methods.
-
22 Oct 2026 / Customer Experience
How to fit customer experience security into your strategy
Most organizations overlook security in their CX strategies. However, with collaboration, personalization, CIAM controls and more, organizations can offer a secure and positive CX.