Larger companies looking at the healthcare market have an advantage in access to clients–most likely featuring affordability.
While blockchain-inspired technologies are slowly progressing, the full-blown Blockchain suffers from functional flaws and is hindered by a religious belief that decentralization be positively superior to centralization.
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Researchers have created a new circuit that could boost the performance of training neural networks.
Digital assistants like Siri , Alexa, Cortana and Google Assistant are becoming commonplace in our houses, devices and apps. Soon these same assistants will begin offering healthcare related services. Here’s a look at what to expect for the next 2 years. Soon these digital assistants may also order our medications or schedule dental cleanings. For example, Microsoft and others now offer AI-platforms for developers to create bot services. Possibly, creating digital medical assistant services. Imagine asking: “Siri: Find me a Heart Surgeon!” But are patients ready to accept medical advice from an algorithm? Currently, healthcare digital assistants are chatbots. Their user interface is primarily textual. Equipped with natural…
PART 1: Background for Healthcare Changes “Per World Economic Forum (www.weforum.org) expect rapid change and unprecedented opportunity. That ushers in a golden era of innovation in healthcare”.
CRM is still grappling with the problems it tried to solve in 1995. Is CRM just an expensive mobius strip? CRM Challenges Look at the top challenges CRM and CE professionals are grappling with today. What do you see?
Reading Time: 5:15 AI is at Peak Hype. Yes, one day we will have autonomous transportation pods and ubiquitous language translation services. Just not yet. For now, focus CRM/AI applications on tactics, not bold strategic moves. AI Hype > AI Reality
Details of the deal have not been announced but the transaction is expected to complete in the first half of 2019.
Imagine if you could make your mistakes in virtual scenarios instead of in reality.
Data beats theory Here’s a new empirical study of the impacts of automation and resulting employment changes on high and low wage employees over time. Empirical studies are important because they replace conjecture with reality (but it’s easier to write a paper about conjecture.)