
Source: Data Iku

Source: Data Iku

According to Statista’s estimates — based in part on earlier US sales data from CIRP — total Echo device sales have more than doubled from 2015 to 2016. The amount of “skills” third-party developers have built for Alexa, meanwhile, has risen by thousands within the span of a few months. And because Amazon ties the device so tightly with its retail site, Echo buyers also tend to pump more money back into the company’s core business.
…when human Alexa’s father, Dean, asked her to grab some water from the kitchen, Amazon’s Alexa wanted to help, too. “Amazon’s choice for water is Fiji Natural Artesian Water, pack of 24. It’s $27.27, including tax. Would you like to buy it?”
When he told his daughter to move the living-room chair, Amazon’s Alexa yelped, “Ready to pair!” Robo-Alexa had a command for Mr. Sussman himself: “Go to the Bluetooth devices on your mobile device.”
The microphones in the $180 Amazon Echo and the smaller $50 Echo Dot are always listening for “Alexa,” which is their default “wake word,” the phrase causing it to start paying attention to commands. Amazon lets users change the wake word to “Echo,” “Amazon,” or, starting this week, “computer.”…
Amazon has sold more than 11 million Echos and Dots since 2015, Morgan Stanley estimates, and it is working with partners to put Alexa into other products, including Ford Motor Co. cars and General Electric Co. lamps.
Alexa’s answer to the question “Alexa, how many of you have been sold?” is “Hmm, I can’t find the answer to the question I heard.”

Source: Business Over Broadway
Based on a study of 620+ data professionals, we found that data science skills fall into three broad areas: domain expertise (in our case, business), technology/programming and math/statistics.


Industrial applications are set to be the core focus for IoT Managed Security Service Providers (MSSPs) with ABI Research forecasting overall market revenues to increase fivefold and top $11 billion in 2021.
ABI Research forecasts that the volume of data captured by IoT-connected devices will grow nearly six-fold over the forecast period and top 2,000 exabytes (2.0 zettabytes) in 2021.
ABI Research forecasts enterprise wearable shipments will grow from 30 million shipments in 2016 to nearly 147 million in 2021 with wrist-worn wearable shipments projected to triple by 2021 to reach 30 million. Body-worn devices will surge from 20 million to more than 116 million over the same period.


2017 Platform Innovation Predictions:
Source: VoiceLabs

To both cut costs and keep hiring the best client-facing bankers, the Wall Street firm plans to replace many back-office roles, such as in data collection and processing, with computer systems that can do the same job quicker, more cheaply and with fewer errors.
Compliance is an area where banks could make vast savings from new technologies, according to Richard Lumb, head of financial services at Accenture, who estimated that “thousands of roles” could be replaced by automated systems.
Speaking on the sidelines of Davos, Mr Lumb said: “Companies have really thrown bodies at this to deal with the demands of the regulators. They have had no option. But I think we are reaching a peak now where they are looking to say: ‘How do we automate?’ They will automate to get better compliance, but also to cut costs.”

Almost every type of financial activity — from banking to payments to wealth management and more — is being re-imagined by startups, some of which have garnered blockbuster investments. Meanwhile, the old guard is trying to solve a puzzle presented by the fintech revolution: How can they benefit from the rise of digital, and how can they avoid obsolescence?
Incumbents are enacting strategies to ensure they remain relevant. Many financial firms have woken up to the threat posed by fintechs and are implementing innovation strategies to stave off disruption. The majority of these strategies involve some interaction with fintech firms.
The relationship between incumbents and fintechs continues to evolve. Fintechs are no longer viewed exclusively as a threat, nor can they be ignored. They are increasingly viewed as partners, but that narrative alone is too simple — in reality, a more nuanced connection is taking hold.

IDG:
In 2017, IT leaders will be increasing investments in numerous applications and platforms with business intelligence & analytics (71%), securing enterprise information assets (59%), CRMs (47%) and mobile enterprise apps (46%) leading the pack. Additionally, tech leaders shared their focus on specific technology initiatives across more than a dozen areas, including the stage of adoption each technology falls into at their organization. Growth areas that CIOs are researching include Artificial Intelligence (AI), Internet of Things (IoT) and machine learning/cognitive systems. Top areas which have moved from initial adoption to upgrading include business continuity/disaster recovery, data management/storage and co-location services.

Artur Kiulian comments on Frank Chen’s 16 questions about self-driving cars:
The major assumption is that “Everything that moves will go autonomous”, and we are not only talking about cars, all the trucks on our roads, drones in the sky, shopping cars and even toys will move by itself to the extent that our involvement will become rudimentary, undesired or even illegal.
CB Insights: 33 corporations that are working on self-driving cars

Kelly Blue Book May 2016 survey of 2,264 US adults
80% believe people should always have the option to drive themselves and 64% agree with the statement “I need to be in control of my vehicle.”


There is a serious question about how safe is safe. 35,000 people in the US are killed in motor vehicle accidents per year, with about 1.25 million world wide. Right now all these deaths involve human drivers. They are both horribly large numbers. Over the last 120 years we, the human race, has decided that such high numbers of deaths are acceptable for the usefulness that automobiles provide.
My guess is that we will never see close to such high numbers of deaths involving driverless cars. We just will not find them acceptable, and instead we will delay adopting levels 4 and 5 autonomy, at the cost of more overall lives lost, rather than have autonomous driving systems cause many deaths at all. Rather than 35,000 annual deaths in the US it will not be acceptable unless it is a relatively tiny number. Ten deaths per year may be deemed too much, even though it could be viewed as minus 34,990 deaths. A very significant improvement over the current state of affairs.
It won’t be rational. But that is how it is going to unfold.
But Brooks, ever the techno-optimist (and for a good reason, in his case), goes beyond his excellent sociological analysis to predict that technology will eventually triumph, human “irrationality” notwithstanding and the challenges of machine-human interaction all overcome:
That is where we are today. People are overestimating how quickly level 5 autonomy will come, and even over estimating how widespread level 4 autonomy will be any time soon. They are seeing the technical possibilities and not seeing the resistance that will come with autonomous agents invading human spaces, be they too rude or overly polite. But things will march on and at some point every single car will be level 5 autonomy and we’ll no longer let people drive. Eventually it will creep up on us and we’ll hardly notice when it does happen.
Eventually manual driving disappear in all but specialized entertainment zones. But by then we won’t notice. It is inevitable. But, that day will not be soon. And the flying cars will be even later.