Archive for the ‘business’ category

Dec 1, 2016

MSFT Stock: Could Microsoft Corporation Become A Trillion Dollar Company

Posted by in categories: business, quantum physics, robotics/AI

Here is the bottom line: the companies that launches QC devices, network infrastructures (platforms, IaaS, SaaS, etc.) will win as everyone knows those billions invested by tech in AI will finally have the ROI that they need to show to their shareholders at the end of the day. When you have consumers and businesses too scared to use your products thanks to the Dark Web, etc. QC is your only way out of this mess.

Without QC infrastructure; means you’re AI investment is limited and you will not see the real ROI potential that you could have. And, synbio technology such as cell circuitry used to eradicate cancer and other illness or disabilities, connected humans, etc. will not have the level of adoption and performance we need to make this area impactful and life changing for so many. Personally, I look forward to a day when hospitals, going to the doctor, etc. are things of the past.

Microsoft Corporation (NASDAQ: MSFT) can come up with its own scalable operational quantum computer by 2025. This could lead to quantum jump in MSFT stock in long term.

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Dec 1, 2016

Thanks To ‘Fight For $15’ Minimum Wage, McDonald’s Unveils Job-Replacing Self-Service Kiosks Nationwide

Posted by in categories: business, economics, employment, policy, robotics/AI

Technological unemployment speeding up, and the elite types as always trying to get the poor and middle class to go at each others throats, rather than address the elephant charging at both of them, that robots and AI are coming for all the jobs in under 10 years now.

Other states are also learning the same basic economic lesson: Customers have a limit to what they will pay for service. Voters in Washington, Colorado, Maine and Arizona voted to raise minimum wages on Election Day, convinced of the policy’s merits after millions of dollars were spent by union advocates. In the immediate aftermath, family-owned restaurants, coffee shops and even childcare providers have struggled to absorb the coming cost increase—with parents paying the cost through steeper childcare bills, and employees paying the cost through reduced shift hours or none at all.

The out-of-state labor groups who funded these initiatives aren’t shedding tears over the consequences. Like their Soviet-era predecessors who foolishly thought they could centrally manage prices and business operations to fit an idealistic worldview, economic reality keeps ruining the model of all gain and no pain. This brings me to my last correct prediction, which is that the Fight for $15 was always more a creation of the left-wing Service Employees International Union (SEIU) rather than a legitimate grassroots effort. Reuters reported last year that, based on federal filings, the SEIU had spent anywhere from $24 million to $50 million on the its Fight for $15 campaign, and the number has surely increased since then.

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Nov 27, 2016

Drones for Delivery in Healthcare | By Andreessen Horowitz | SoundCloud

Posted by in categories: business, drones, governance, innovation

” … discuss using drones to leapfrog infrastructure, and save lives by doing it in less than 15 minutes.”

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Nov 27, 2016

Artificial intelligence and robotics are revolutionising business

Posted by in categories: business, robotics/AI

And leading the way is the online grocery store Ocado.

Nov 24, 2016

Universities’ AI Talent Poached by Tech Giants — By Daniela Hernandez and Rachael King | The Wall Street Journal

Posted by in categories: business, education, robotics/AI


Alphabet Inc.’s Google division last week hired the director of Stanford University’s artificial intelligence lab to lead a new AI unit, the latest in a long line of academic stars in artificial intelligence lured away by tech giants.”

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Nov 23, 2016

Ageing Societies 2016

Posted by in categories: business, economics, finance, health, life extension

Longevity a challenge or an opportunity?

This autumn, The Economist Events will bring global leaders from business, finance and health care together with policymakers to explore the opportunities of an ageing world.

Together they will discuss how best to adapt financial products and realign business and public policies in ways that will drive economic growth and mitigate problems that ageing societies could otherwise bring.

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Nov 23, 2016

From Bitcoin to puke-tracking: Walmart uses blockchains to monitor food — By Beth Mole | Ars Technica UK

Posted by in categories: business, computing

In October, the commercial giant teamed up with IBM and Tsinghua University in Beijing to track pork in China as it moves from the farm to the shelves.”

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Nov 19, 2016

Venture Capital Firm Navigates Uncharted Course to Success — By Michael J. de la Merced | The New York Times

Posted by in categories: business, finance


““They ‘got’ the business, and they took the time to go deep,” Mr. Vogt said.”

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Nov 15, 2016

Mobile If Apple Builds Smart Glasses, They’d Better Be Spectacular — By Jamie Condliffe | MIT Technology Review

Posted by in categories: augmented reality, business


” … Apple is considering the idea of producing digital glasses. The specs would, we’re told, “connect wirelessly to iPhones, show images and other information in the wearer’s field of vision, and may use augmented reality.””

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Nov 14, 2016

IBM and NVIDIA Team Up on World’s Fastest Deep Learning Enterprise Solution

Posted by in categories: business, finance, robotics/AI, transportation

SALT LAKE CITY, Nov. 14, 2016 /PRNewswire/ IBM (NYSE: IBM) and NVIDIA (NVDA)today announced collaboration on a new deep learning tool optimized for the latest IBM and NVIDIA technologies to help train computers to think and learn in more human-like ways at a faster pace.

Deep learning is a fast growing machine learning method that extracts information by crunching through millions of pieces of data to detect and rank the most important aspects from the data. Publicly supported among leading consumer web and mobile application companies, deep learning is quickly being adopted by more traditional business enterprises.

Deep learning and other artificial intelligence capabilities are being used across a wide range of industry sectors; in banking to advance fraud detection through facial recognition; in automotive for self-driving automobiles and in retail for fully automated call centers with computers that can better understand speech and answer questions.

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