Unlike America, where banks have a return on equity of 12%, Europe does not have strongly positive government-bond yields, or a pool of investment-banking profits like that on Wall Street, or a vast, integrated home market. All this is true, but European banks have been lamentably slow at cutting their costs, something which is well within their control. As a rough rule of thumb, efficient banks report cost-to-income ratios below 50%.

Unlike America, where banks have a return on equity of 12%, Europe does not have strongly positive government-bond yields, or a pool of investment-banking profits like that on Wall Street, or a vast, integrated home market. All this is true, but European banks have been lamentably slow at cutting their costs, something which is well within their control. As a rough rule of thumb, efficient banks report cost-to-income ratios below 50%.

Making the financial case: "This is going to sound silly,” he says. “The hardest part isn’t necessarily the refactoring. The hardest part is convincing people to do this. Because, let’s be honest the upfront cost can be very scary, man. It can be frightening. The business is going to say, ‘We just put in X amount of dollars last year to support these kinds of environments.’ You kind of have to ask the question, what’s going to happen five years from now?

Making the financial case: "This is going to sound silly,” he says. “The hardest part isn’t necessarily the refactoring. The hardest part is convincing people to do this. Because, let’s be honest the upfront cost can be very scary, man. It can be frightening. The business is going to say, ‘We just put in X amount of dollars last year to support these kinds of environments.’ You kind of have to ask the question, what’s going to happen five years from now?

“A lot of work needs to be done for that but it’s evolving quickly,” Childers said of interoperability tests using Eirini as a bridge between Diego and Kubernetes. He did add that the evolution from Diego to Eirini, if it does occur, will be similar to how Cloud Foundry moved from its DEA architecture system to its Diego architecture system. That involved Diego having to show functional parity to DEA and the necessary production readiness for vendors and organizations to feel comfortable using Diego in place of DEA.

“A lot of work needs to be done for that but it’s evolving quickly,” Childers said of interoperability tests using Eirini as a bridge between Diego and Kubernetes. He did add that the evolution from Diego to Eirini, if it does occur, will be similar to how Cloud Foundry moved from its DEA architecture system to its Diego architecture system. That involved Diego having to show functional parity to DEA and the necessary production readiness for vendors and organizations to feel comfortable using Diego in place of DEA.

MD Anderson Cancer Center partnered with IBM Watson to create an advisory tool for oncologists. The tool used natural-language processing (NLP) to summarize patients’ electronic health records, then searched databases to provide treatment recommendations. Physicians tried out a prototype in the leukemia department, but MD Anderson canceled the project in 2016—after spending US $62 million on it. Outside of corporate headquarters, however, IBM has discovered that its powerful technology is no match for the messy reality of today’s health care system.

MD Anderson Cancer Center partnered with IBM Watson to create an advisory tool for oncologists. The tool used natural-language processing (NLP) to summarize patients’ electronic health records, then searched databases to provide treatment recommendations. Physicians tried out a prototype in the leukemia department, but MD Anderson canceled the project in 2016—after spending US $62 million on it. Outside of corporate headquarters, however, IBM has discovered that its powerful technology is no match for the messy reality of today’s health care system.

IBM Watson didn’t work so well in health care, maybe it was too early. Also, Chef goes full open source, with Apache 2. Meanwhile, Coté has to pay taxes in two countries. Also see full show notes.

Obtaining FDA approval can be a difficult and long process. “The traditional paradigm of medical device regulation was not designed for adaptive AI or ML technologies, which have the potential to adapt and optimize device performance in real – time to continuously improve healthcare for patients,” the report said. “The highly iterative, autonomous, and adaptive nature of these tools requires a new, total product lifecycle (TPLC) regulatory approach that facilitates a rapid cycle of product improvement and allows these devices to continually improve while providing effective safeguards.