Artificial Intelligence

Explainable AI: Bringing trust to business AI adoption

For many organizations, AI remains a mystery not to be trusted in production, thanks to its lack of transparency. But demand, advances, and emerging standards may soon change all that.

As cognitive technologies take hold, preparing your workforce for change is key

Enabling technologies like AI, machine learning and RPA will eliminate jobs and open doors to new opportunities. Here are one IT leader's tips on what you can do today to prepare people for a new era of human-machine interaction.

11 key takeaways from Oracle OpenWorld 2019

Autonomous Linux, digital assistants, and closer work with Microsoft, VMware and others were among the highlights from this yearu2019s conference.

Oracle goes all in on cloud automation

Oracle adds more automation, business networking, recruitment tools and a plethora of digital assistants to its cloud apps.

Rethinking software development in the AI era

Despite the hype, and the risks, AI requires IT leaders to lean in on a strategy for capturing its benefits.

Rethinking software development in the AI era

Data is fast replacing code as the foundation of software development. Hereu2019s how leading organizations anticipate processes and tools transforming as developers navigate this paradigm shift.

Playbook for stockpiling AI talent: Buy, borrow, build

Hiring, upskilling, and strategic partnerships are the cornerstones for assembling talent in data science and AI. CIOs would do well to employ all three approaches.

6 tools that make machine learning easier

Vendors are taking the mystique out of machine learning by offering layers for automating data prep and algorithm choices, opening up AI to motivated, data-smart business users.

Peter Beck joins University of Auckland faculty

NZ Rugby reveals competitive weapon: analytics

CIO spotlight: Piers Shore of Fonterra