The autonomous enterprise is near, but there are still some missing pieces
Artificial intelligence can pave the way to autonomous operations, but requires an intelligent data supply chain behind it.
Latest from Joe McKendrick
Artificial intelligence sees more funding, but needs more people and better data
A call for 'developing metrics to assess goodness-of-data, better incentives for data excellence, better data education, better practices for early detection of data cascades, and better data access.'
Data quality can make or break efforts to bring artificial intelligence to IT operations
Artificial intelligence for IT operations, or AIOps, could help IT run in a more unattended fashion. But the necessary data may not be ready to sustain it. 'Data is either going to be an obstacle or a shortcut to get to your AIOps benefits'
7 ways to make the wider enterprise comfortable with artificial intelligence
The challenge is putting people first in any and all AI projects. AI practitioners provide recommendations for building a people-centric, yet AI-driven culture
Artificial intelligence success is tied to ability to augment, not just automate
Stanford's latest release of its ongoing 'One-Hundred-Year Study on Artificial Intelligence' urges a greater blending of human and machine skills.
AI is learning to talk back. How that's changing the customer and employee experience
The use of conversational AI tech has been increasingly rapidly, in part thanks to covid.
Preparing for the 'golden age' of artificial intelligence and machine learning
The latest ZDNet survey on AI actionability and accountability finds that IT teams are taking a direct lead, with most companies building in-house systems. However, oversight of AI-generated decisions is lagging.
Turning point for artificial intelligence: Will the large cloud providers dominate?
Could the tech giants take control of the AI narrative and reduce choices for enterprises? Experts weighed the pros and cons in a recent online conference.
Survey: How technology can support accountable and actionable AI
IT pros, please take 10-15 minutes to add your voice to this important project.
An artificial intelligence ecosystem isn't necessarily all cloud
A call for greater enterprise architecture in building AI ecosystems, leveraging both cloud and on-premises systems.