Artificial Intelligence | News, how-tos, features, reviews, and videos
At Nvidia's GTC, CEO Jensen Huang performed a 2.5-hour keynote loaded with announcements. These are the key ones CIOs should take note of.
The unprecedented opportunity of managing unstructured data.
With great power comes great responsibility. As the details of the Facebook and Cambridge Analytica scandal reveal, the IT industry is still grappling with the question of how to deal with ethical dilemmas.
The issues holding back AI adoption arenu2019t technical. Hereu2019s how to navigate unrealistic expectations, change management issues and employees leery of AI job loss.
Generative AI is teaching us new ways to augment, broaden education, tailor learning experiences, and streamline educational processes to support teachers, students, and our future.
IBM's gambit will hinge on whether or not enterprise leaders can reshape and reorient organizations built for one era to meet the needs of the next.
There are several high-value applications for artificial intelligence in health care. Challenges with underlying data sources and new ethical concerns have emerged as significant factors driving adoption.
Bias in AI systems can lead to unintended consequences. Making sure you you understand the ways AI systems are interpreting the data they receive is one way to address the problem.
When technology is as hyped as machine learning is, misunderstandings and misconceptions abound. Here's a clear-eyed look at what machine learning can and can't deliver.
Human resources has to play a strategic role in leveraging AI to shape future of work and organization agility.
Newer machine learning techniques coupled with better programming techniques and more data-driven skills should make a difference, and so should better tools to directly connect outcomes to the core models.
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