How AI Can Save the World, or Not
Lead artificial intelligence advisor to the United Nations, Neil Sahota shares his perspectives on major UN AI projects and the major challenges to AI today.
How to Keep Machine Learning Steady and Balanced
A gift usually is given to you neatly wrapped. Data, however, is rarely a gift that is prepared with similar care. Here are some concepts on how to keep ML models in production with balanced data.
XOps: Real or Hype?
DevOps was just the beginning. Now, organizations are adopting other forms of Ops inside and outside IT. But are they missing the point?
Accelerating the Practical Use of AI
Artificial intelligence and machine learning solutions are becoming more common across industries. Use these four steps for a successful implementation.
7 Steps to AI Success
Demand for artificial intelligence is growing, but success rates are underwhelming. Here's what you can do to maximize the value from your AI deployment.
What Do We Do About Racist Machines?
We will never rid ourselves of all our biases overnight. But we can pass on a legacy in AI that is sufficiently aware of the past to foster a more just and equitable society.
10 IT Trends to Watch for in 2021
Here's how the dramatic events of 2020 are likely to shape enterprise IT teams in the coming year, according to analysts from firms like Gartner, IDC, and Forrester.
Automation Revs Pandemic IT Toolbox
Enterprise IT executives saw huge acceleration in automation deployments in 2020, and that trend will continue next year as they look to expand into intelligent automation.
Predictions for AI in 2021
We look past the hype to provide some real-world predictions for artificial intelligence in the enterprise next year.
Data Governance is Broken
So how did we get here? Here are the three main ways data governance is failing us, along with some advice on how to address those areas.