Seeking an Oasis in a Data Desert
Gaps in data quality, particularly due to supply chain issues during the pandemic, is becoming a serious influence on planning effective machine learning models.
How to Enable Data at Operational Speed
Achieving data at operational speed requires a fundamentally different mentality than looking to the past for answers. Here are three steps companies can take.
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.
Predictions for AI in 2021
We look past the hype to provide some real-world predictions for artificial intelligence in the enterprise next year.
A Question for 2021: Where’s My Data?
One of the more challenging issues for CIOs and other IT professionals moving into 2021 will be the ability to confidently locate, manage, and secure their company's data.
The State of Chatbots: Pandemic Edition
Chatbots are currently the biggest use case for AI. Now the COVID-19 pandemic has made them even more compelling given their use in automation and their high level of ROI.
COVID-19 IT Layoffs and the Future of Work
Layoffs hit technology jobs in April, too, as the COVID-19 shock wave whacked employment, and organizations may be accelerating their automation plans to protect workers and cut costs.
AI as a Human Right
As some thought leaders advocate for the recognition of access to AI as a human right, the question comes up: How could we achieve that?