How and why healthcare provider CIOs need to establish AI governance to balance cutting-edge AI innovation with solutions that are trustworthy, safe and transparent.
AI-enabled products can increase digital business opportunities, if deployed to the right location, at the edge or otherwise.
There is a big difference between automation and AI, but companies tend to confuse them.
The company showcased what can happen when AI gets creative.
Anti-fake news projects by the New York Times and Forbes show how DLT can save news from itself.
But need a thoughtful process for deployment to ensure the models do not go rogue.
Competitiveness and increasing productions are vital motivations.
New cloud and AI capabilities answer what CDOs have been asking other vendors for a long time while giving EIM a much-needed makeover.
I&O leaders need to strategically leverage AI as a core accelerant to digital business initiatives.
The effectiveness of your AI-based security all comes down to how good your data sets are.
How IT operations can use artificial intelligence to monitor data and reduce outage times.
We need to face up to the realities of AI ethics and take a long-term view.
Operational efficiency is hitting new levels through AI.
Machine learning can help us to cope in a data-centric world.
Turning on AI at manufacturing plants is helping companies to finetune operations and find new revenue opportunities.
Suddenly, Hong Kong has become a global AI player.
Machine learning is offering new possibilities and opportunities, allowing companies to create new industry opportunities and blur existing ones.
To generate value, leaders must fully understand how AI works and where its limitations lie.