 Amazon purportedly has a secret skunkworks laboratory dedicated to investigating new opportunities with health care technology.
Amazon purportedly has a secret skunkworks laboratory dedicated to investigating new opportunities with health care technology.
The US online retail company is believed to be looking into areas including electronic medical records and remote diagnosis, also known as telemedicine.
This ties in with previous reports that Amazon is exploring the possibility of selling pharmaceuticals on its website and apps.
Amazon has branded the stealth team 1492 – a reference to the year Christopher Columbus first landed in the Americas.
Some members of the team have publicly acknowledged their affiliation with 1492 on professional social network LinkedIn, CNBC has reported.
 GETTY • AMAZON
GETTY • AMAZON
Amazon is purportedly working on healthcare technology with a secretive team, dubbed 1492
The new team is believed to be exploring health applications for existing Amazon hardware, including the Echo smart speaker.
Echo and Echo Dot already boast a number number of health related skills.
Earlier this year, the British Red Cross launched a new Skill which enables Echo owners to quickly get access to step-by-step first aid advice.
 AMAZON
AMAZON
The British Red Cross Skill lets Amazon Echo owners quickly access spoken first aid instructions
It is not clear whether Amazon also plans to build new hardware dedicated to healthcare.
Speaking to CNBC, one source with knowledge of the US company’s plans refused to rule out dedicated health devices from Amazon.
The 1492 team is also believed to be working on a way to pull and push data from legacy electronic medical record systems.
Martin Lewis: Don’t sign up to Amazon Prime just for day of deals
The shopping firm is far from the only technology company exploring health for future innovation and growth.Google and Microsoft have both launched healthcare products in the past, including Google Health and HealthVault.
Apple already has a health ecosystem thanks to its Watch hardware and Health app on iOS.
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 The first thing you need to do before you begin building an echo chamber is to figure out which side the person is on who just landed on your homepage using any number of possible devices, from a smartphone to a smart TV. That’s where a company called Adbrain comes in. Founded in 2012, this San Francisco startup has taken in $16.5 million in funding so far from investors that include Cisco (NASDAQ:CSCO) in order to become “a global leader in resolving customer identity for marketers and their partners across people, places and devices“. In order to understand how their technology works, we’re going to teach you a bit about two forms of online marketing; deterministic targeting and probabilistic targeting.
The first thing you need to do before you begin building an echo chamber is to figure out which side the person is on who just landed on your homepage using any number of possible devices, from a smartphone to a smart TV. That’s where a company called Adbrain comes in. Founded in 2012, this San Francisco startup has taken in $16.5 million in funding so far from investors that include Cisco (NASDAQ:CSCO) in order to become “a global leader in resolving customer identity for marketers and their partners across people, places and devices“. In order to understand how their technology works, we’re going to teach you a bit about two forms of online marketing; deterministic targeting and probabilistic targeting. 
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Now that you know what bucket to throw your website visitors in, you need to start crafting personalized messages to them which reinforce their own unique echo chambers. Founded in 2012, New York startup Persado has taken in $66 million in funds so far from investors that include American Express (NYSE:AXP), Citigroup (NYSE:C), and Bain Capital. Their latest funding round, a Series C in February of last year, was led by Goldman Sachs (NYSE:GS). Persado is all about using natural language generation to “generate the language that emotionally connects with each consumer at scale”. Sure sounds a whole lot like only saying things to people that they want to hear, right? Haven’t we already been doing this for years? Yes, except this time it’s different. This time, AI is writing the content:
