Artificial Intelligence
Artificial Intelligence news, analysis, how-to, opinion and video. | CIO
2 trends reshaping the future of IT support
We are in the early stages of a broader transformation in how enterprise organizations look at the role of support. In the near future, support will become much more automated, but will also become much more customer-facing.
New AI tools make BI smarter — and more useful
Data science democratized: What used to take data scientists months to prepare may soon be put together in a few days by data-astute business users.
Navigating artificial intelligence strategy in your industry
Considering the impact of the artificial intelligence (AI) on your industry's business models, processes, products and services.
IT’s worst addictions (and how to cure them)
Are you a control freak? A data fiend? An infrastructure junkie? Your tech addictions may be bringing your company down. Here's how to go cold turkey.
Artificial intelligence policymaking is alive and well in Paris and Brussels
The good news is that European policymakers are responding to the challenges posed by artificial intelligence (AI).
6 reasons to pump the brakes on AI
Artificial intelligence is wending its way into business processes. But CIOs should pause and research the potential business impact of AI tools — both good and bad.
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Technologies that will disrupt business in 2018
From artificial intelligence to augmented reality, these dozen disruptive technologies and trends will begin driving how business gets done at forward-thinking organizations this year.
Merging with the machine
Emerging technology is converging on augmenting humanity.
The most interesting things from Nvidia's GPU Technology Conference
At Nvidia's GTC, CEO Jensen Huang made several announcements, including NVSwitch, DGX-2 Server, and increased memory for Tesla V100 GPU.
Natural language processing and the promise of limitless knowledge management
The unprecedented opportunity of managing unstructured data.
Should software developers have a code of ethics?
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 human side of implementing AI
The issues holding back AI adoption aren’t technical. Here’s how to navigate unrealistic expectations, change management issues and employees leery of AI job loss.
IBM bets big on the ‘incumbent disruptor’
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.
Up, down or out? Perspectives on artificial intelligence in health care today
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.
Busting bias in AI
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.
9 machine learning myths
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.
Artificial intelligence gives HR an opportunity to transform the enterprise
Human resources has to play a strategic role in leveraging AI to shape future of work and organization agility.
Moving toward outcome-based intelligence
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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