Artificial Intelligence

7 things IT should be automating

Automation can reap efficiencies, reduce errors, and free up staff for higher-value tasks u2014 especially when undertaken as part of a companywide strategic effort. Hereu2019s where to start.

AI proves its value in improving customer experiences

Organizations are transforming artificial intelligence into business wins, thanks to initiatives aimed at improving customer outcomes.

Emerging consumer technology influences your industry

Those gadgets you got as presents arenu2019t just fun toys to automate your home or supercharge your entertainment options. They are storytellers of how your industry will evolve in the coming wave of emerging technology.

15 IT resolutions for 2019

Tech teams need to lose the grunt work, go on a dev diet, and exercise more strategic thinking.

7 tips for scaling your AI strategy

Intelligent discovery tools – integrated with other systems to access as much data as possible – enable AIOps

7 tips for scaling your AI strategy

Now that your enterprise has experimented in AI itu2019s time to consider how to expand the efforts. Hereu2019s how, according AI visionary Andrew Ng, as well as experts from PwC and Deloitte.

AI’s dark secret? A desire for data without bounds

The AI revolution is hungry for personal data. The U.S. needs to pursue federal privacy legislation before machine intelligence and surveillance intersect.

Tackling artificial intelligence using architecture

CIOs know that they need to get involved with AI regarding their strategic initiatives, yet they are uncertain how to approach AI. An example from the financial services industry could show you how to develop, integrate and deploy AI in synchronizati

Healing as a service: The next wave of AI innovation for business automation

Self-healing platforms reduce operational failures and tackle business problems to provide business value.

Australian robotics champion joins CSIRO’s Data61

9 AI project mistakes to avoid

From building isolated proofs of concept to not defining how to measure success, a wide array of gotchas can derail your AI project's prospects for delivering business value.