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.
Predictions for AI in 2021
We look past the hype to provide some real-world predictions for artificial intelligence in the enterprise next year.
The Upside to Deepfake Technology
Deepfake technology has received its fair share of scorn, but as remote collaboration vendors incorporate more AI features into their offerings, the "deepfake" stigma will wane.
Top Trends in Data Lakes
Does it seem too early for data lakes to have trends? The reality is data lakes are on the very edge of business transformation efforts and dramatic change.
Data in the Age of COVID
This crisis is teaching us a ton about the dissemination and use of data. But we must remember to use it in a way that maintains the quality of data and protects privacy rights.
The Rise of TensorFlow
The high interest in the developer community to explore TensorFlow capabilities holds even higher potential to yield valuable insights in quantum computing research and applications.
Your Roadmap to AI and ML Deployments
Don't adopt artificial intelligence and machine learning without having a real business problem to solve. Here are some ways to help build the right use cases.
Has AI Failed the Pandemic Test?
In the first real test of AI in a crisis, the results are mixed. While many individual applications are helping, the tech remains immature and unable to address complex public policy issues.
One Size Doesnít Fit All for AI Regulation
The sheer scope of AI's impact on society does require some regulation. It will be essential to ensure that AI regulation is fair and ethical while not impeding innovation.