Quotes from Thomas H. Davenport

Successful knowledge transfer involves neither computers nor documents but rather interactions between people.

The businesses and organizations that succeed with AI will be those that invest steadily, rise above the hype, make a good match between their business problems and the capabilities of AI, and take the long view.

UPS are replacing fixed daily routes with dynamic ones adjusted in real time for weather and traffic—again with machine learning. Only cognitive technologies can handle all the necessary data. And at some point supply chains may be powered by autonomously driven trucks, which will bring enormous changes to that domain.

In an attempt to develop a tool to help organizations begin to identify these errors, the Institute for Healthcare Improvement (IHI) developed a global trigger tool (GTT).9 Briefly, the GTT provides a standard methodology for reviewing patient records for triggers, or indicators, of potential adverse events.

One other problem is that too many people—and vendors in particular—are already using big data to mean any use of analytics, or in extreme cases even reporting and conventional business intelligence.

the use of statistical process control tools to evaluate variation, correlate root cause, forecast capacity, and anticipate throughput barriers. By measuring incidence of preventable venous

We refer to these companies' all-in approaches in multiple ways—"AI fueled," "AI powered," "AI enabled," etc. The common thread is that they are at the far end of the scale in their spending, planning, strategizing, implementing, and changing with regard to AI technology.

That was one of the reasons why Memorial Sloan Kettering Cancer Center decided to work with Watson—to make widely available the level of knowledge of the hospital's best oncologists to the world at large.

It takes about twelve years for a pharmaceutical firm to research, develop, test, and launch a product. Several firms, including Pfizer, Novartis, and Celgene, are working with IBM Watson to try to identify and bring new drugs to market faster.

In a knowledge-driven economy, talk is real work.