California Lawmakers Pass Nation’s Toughest Net Neutrality Law

Source: https://www.nytimes.com/2018/08/31/technology/california-net-neutrality-bill.html?partner=rss&emc=rss
September 01, 2018 at 06:30AM

The bill is sure to set up a fight between broadband providers, like Verizon and AT&T, and consumer groups.

Prediksi Skor JUVENTUS Vs SASSUOLO 16 September 2018

Source: http://www.pandoblog.com/2018/08/31/prediksi-skor-juventus-vs-sassuolo-16-september-2018/
September 01, 2018 at 02:19AM

31 Agustus 2018

admin

Pasaran Prediksi Bola JUVENTUS vs SASSUOLO, Prediksi Bola JUVENTUS vs SASSUOLO, Bursa Taruhan JUVENTUS VS SASSUOLO, Prediksi Scor JUVENTUS Vs SASSUOLO, Prediksi Pertandingan JUVENTUS Vs SASSUOLO, Hasil Scor JUVENTUS VS SASSUOLO, JUVENTUS vs SASSUOLO– yang akan di adakan pada tanggal 16 September 2018 Pada Pukul 00: 00 WIB Di Stadion Allianz Stadium (Turin)

Memprediksi JUVENTUS Vs SASSUOLO – Entri ini diposting pada 16 September 2018 dan disimpan di bawah Stadion Allianz (Torino). Game ini saat ini ditutup oleh tim yang terdiri dari dua pemain yang saat ini berada dalam tim dan berada dalam posisi untuk bermain, yang di mana timnya Juventus melawan Sassuolo yang pastinya Juventus Asia sangat berantung untuk memonangka pertandingan yang nantinya akan di adakan pada tanggal 16 September 2018.

JUVENTUS – Entri ini diposting pada Sabtu, 16 September 2018 di berita terbaru dan ulasan dari seluruh stadion di Allianz Stadium (Torino). Tim ini bertanggung jawab atas tim di tim Sassuolo dan akan bertanggung jawab atas tim. memiliki permainann yang cukup baik. Hari itu 30 September 2018.

SASSUOLO – dalam pertandingan namun bola merupakan salahb stu cabang oalah raga yang dimana nantinya akan sangat sayang bagi anda yang akan di adakan pada tanggal 16 September 2018 yang dimana tim ini akan bertemua dengan tesm taun rumah yang mana akan sangat di ungulkan dalam kawan yang Kemudian akan di adaka di Stadion Allianz Stadium (Turin), tim tim dan pucat junior sedang terburu-buru memainkan peran sebagai anggota tim agar dapat memimpin pada 16 September r2018.

Statistik JUVENTUS Vs SASSUOLO

Pertemuan ke dua tim di 5 laga terakhir JUVENTUS vs SASSUOLO:

17/09/17 Sassuolo 1 – 3 Juventus
29/01/17 Sassuolo 0 – 2 Juventus
10/9/2016 Juventus 3 – 1 Sassuolo
12/3/2016 Juventus 1 – 0 Sassuolo
29/10/15 Sassuolo 1 – 0 Juventus

5 pertandingan Terakhir Bermain JUVENTUS :

29/07/18 Benfica 1 – 1 L Juventus
2/8/2018 MLS All-Stars 1 – 1 L Juventus
5/8/2018 Real Madrid 3 – 1 Juventus
18/08/18 Chievo 2 – 3 Juventus
25/08/18 Juventus 2 – 0 Lazio

5 pertandingan Terakhir Bermain SASSUOLO:

21/05/18 Sassuolo 0 – 1 Roma
25/07/18 Sassuolo 1- 0 Südtirol
13/08/18 Sassuolo 5 – 1 Ternana
20/08/18 Sassuolo 1 – 0 Internazionale
27/08/18 Cagliari 2 – 2 Sassuolo

Susunan Pemain JUVENTUS vs SASSUOLO:

JUVENTUS : C. Pinsoglio – G. Chiellini – Alex Sandro – L. Bonucci – D. Rugani – S. Khedira – B. Matuidi – E. Can – P. Dybala – M. Mandzukic – Cristiano Ronaldo

SASSUOLO: A. Consigli – A. Tripaldelli – Rogério – L. Sernicola – G. Magnani – S. Ferraresi – F. Đuričić – J. Boga – A. Duncan – G. Scamacca – J. Odgaard – M. Trotta

Bursa Asian Handicap:
Atas / Bawah:
Prediksi Scor JUVENTUS Vs SASSUOLOby: PREDIKSI JITU
Tips: Pada giliran kali ini kami memprediksikan JUVENTUS Vs SASSUOLOakan berakhir dengan Skor 0 – 0

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India Pushes Back Against Tech ‘Colonization’ by Internet Giants

Source: https://www.nytimes.com/2018/08/31/technology/india-technology-american-giants.html?partner=rss&emc=rss
September 01, 2018 at 12:26AM

With Facebook, Google and Amazon dominating India’s internet, lawmakers have declared their intention to impose tough new rules on the tech industry.

The Hot College Gig: Online Brand Promoter

Source: https://www.nytimes.com/2018/08/31/technology/college-students-online-influencers.html?partner=rss&emc=rss
August 31, 2018 at 10:27PM

American companies are turning to students to push products on their personal social media accounts.

Five steps to delivering DevOps at scale

Source: https://gigaom.com/2018/08/31/five-steps-to-delivering-devops-at-scale/
August 31, 2018 at 04:08PM

So, you’re thinking of taking DevOps out of the relatively safe, yet challenging environment of the controlled initiative, and into the far less safe, and even more challenging environment of the broader enterprise? While, “if you want get there, don’t start from here,” may be a familiar adage, most organisations have little choice but to take what they have (in terms of strategy and organisation, people and tools) as a foundation for DevOps nirvana.

Given this, complex, crumbling reality upon which you already stand, how can you start thinking about broader deployment of DevOps? In a recent webinar with myself and Nigel Kersten at Puppet, our discussions and Nigel’s hands-on insights unearthed a set of steps which I thought I would paraphrase and share. These aren’t so much a methodology as “what seems to have worked for a number of organisations” — feedback welcome, as always!

1. Start by mapping the value stream

Having said these steps don’t constitute a methodology, they start with one — or at least, a method. Recognised as part of lean manufacturing and management approaches, Value Stream Mapping (VSM) offers a way of looking at processes and activities that focuses on the value of what’s being delivered, as opposed to the product or service as an end in itself. Applied to software development, VSM offers an answer to what some see as a weakness in any “let’s speed up delivery” approach: how to ensure that what is deployed meets the requirements defined for it?

2. Apply just enough standardisation

Once value has been established as an immutable thread throughout software development and delivery into operations, attention can turn to making things happen faster. Standardisation offers the most gain with the least pain: simply put, it means you are only making changes to your stuff, not to the stuff everybody is using. You can start at the bottom of the stack, agreeing VM and OS versions that are going to work for ninety-nine per cent of your needs. Get these fixed, then work up the stack into libraries, before looking to standardise on continuous integration and deployment. Make the gains from bottom up.

3. Work towards continuous deployment – through automation

Now, you’d expect (automation vendor) Puppet to say this, but to be fair, automation has been left until the third point! Automation means efficiency and productivity, a.k.a. doing the things people currently have to do, so they can get on with the stuff they’d like to do. It doesn’t make sense to automate tasks that don’t add value (hence step 1), nor to do so in a way that is different every time (step 2). It’s also worth automating the things that are going to make the most difference to the most people, which leads to step 4.

4. Set realistic and manageable goals

The Pareto principle, or 80/20 rule, has a place in most, if not all, best practice. DevOps is no exception: its adaptation of Kent Beck’s xP principle, “Enough functionality for now is enough functionality for now,” aligns with the need to standardise, automate and prioritise actions according to what is possible, viable and valuable. In terms of taking DevOps to a wider audience, do not feel you need to apply it to the whole business in one go; rather, continue to look for opportunities where it can make a difference, broadening its reach over time. Then, as Nigel Kersten highlighted, make sure authority and responsibility match, such that those in charge have a remit upon which they can deliver.

5. Aim for organisational, not just process change

Agile principles may be well-understood inside the development organisation, but not so much outside it. Building on the fourth step, the goal is to achieve a series of small wins:each can be measured in terms of both whether the use of DevOps served its purpose, and whether those involved achieved a level of epiphany, such that they see it as the best way forward for future projects. This latter suggests the change of mindset necessary to achieve transformation, from an organisation that delivers products and services based on linear thinking, to one adopting continuous learning, innovation and improvement.

A final thought is around the need for feedback and information sharing across each step. Not only can the above help move an organisation forward, but each can be used as the basis for collaborative activity: for example, rather than one part of the organisation conducting VSM, how about involving a cross-departmental team? The scope and extent of this interworking may be dictated by what is realistic, for example based on which senior stakeholder is prepared to act as executive sponsor, or how well certain business units interact. Overall, the goal is to start delivering on DevOps as broadly as is feasible today, in the knowledge that success can be built upon tomorrow.

AI for Humanity, Not Corporations

Source: https://gigaom.com/2018/08/31/ai-for-humanity-not-corporations/
August 31, 2018 at 03:00PM

The majority of AI and machine learning is built to bolster the revenue streams of corporations rather than for the interest of human welfare.

That scares me.

The source of this fear comes from three compounding causes:

1. Lack of effective government investment in AI
2. Venture backed investors favoring business to business (B2B) startups over business to consumer (B2C)
3. Corporations primarily driven by profit, not social utility.

Our society lacks a singular force with deep pockets that consistently values social good over revenue. The closest should be government, but it’s sluggish at best and apathetic at worst when it comes to  technology adoption that benefits society. Furthermore, the United States government is primarily fueled by the pockets of lobbyists who represent the interest of corporations rather than citizens. Occasionally there’s a bipartisan initiative to utilize technology to empower citizens but even then the implementation of such initiatives waxes and wanes depending on election and budget cycles.

The bottom line is that government is generally slower at technology adoption than corporations, which are more efficient at utilizing new technology under the pressure of competition. Case in point, Amazon won’t stop recommending a shiny KitchenAid blender after I asked Alexa for a cake recipe.

Another major factor is how startups are created and nurtured in today’s market. 75% of venture investment dollars across all fundraising stages go towards B2B startups for the past decade [MoneyTree]. The benefits of serving B2B over B2C are concrete for burgeoning companies, as businesses have well-defined needs and are willing to pay for services that benefit their bottom line. People, on the other hand, have more diversified needs and are used to getting software services for free. Many B2C startups pivot to B2B after failure to gain user traction or seed investment. This has been particularly true in HR tech, as we’ve seen handfuls of machine learning and AI powered startups pivot their target market from jobseekers to businesses.  

Lastly, mature companies’ interests are misaligned with humanity. Social utility always comes second to profit maximization, which is to no fault to the corporation – they are, by design, accountable to their shareholders. An optimist may argue that companies only build products or deliver services that bear value to consumers, that is, it’s not a zero sum game between companies and consumers. That doesn’t mean consumers will end up winning, either. Did I really need that KitchenAid blender? Or was it brilliant machine-learning backed marketing on Amazon’s part?

These compounding factors may seem bleak for humanity without a drastic change in the structural fabric of our current society. On the other hand, mingled with that fear of futuristic AI and malevolent machines, is a healthy dose of hope. Conditions aren’t optimal, but there is room for successful products with high social utility driven by human need.

For one, there are a lot of initiatives of ‘AI for Good.’ Some of these initiatives are backed by wealthy philanthropists and corporations with a conscience and others are powered by unified governments around the world. These nonprofits and NGOs demonstrate there is a strong desire and growing recognition that society needs to utilize AI for the greater good.

Second, the high technology barrier and time needed to implement machine learning has drastically decreased with the availability of Machine Learning as a Service (MLaaS) platforms. Google Cloud Predict API, Microsoft Azure Machine Learning, AWS SageMaker, and Anaconda are major players in lowering the cost for anyone to dabble in basic machine learning.

Third, consumers do have a choice and voice in determining the trajectory of technology creation. The amalgamation of our pocketbooks has the power to hold corporations accountable for social irresponsibility as well as reward them for good deeds. In fact, this shift towards socially responsible purchases is currently happening, as Berkeley in a recent study found that “more than 9-in-10 millennials would switch brands to one associated with a cause.”

Regardless, even given these positive forces pushing AI for good, we’re still missing a major piece to tip the scale in favor of AI for humanity rather than corporations. There’s a stark absence of compelling incentives to encourage, incubate, and sustain machine learning startups driven by social good.

To fill this void, we can consider a few ideas. One is for philanthropic grants to subsidize sustainable machine learning startups. Another is for government to provide continual incentives (financial and regulatory) to not only help social impact AI startups germinate but also foster long-term viability. For some of the toughest social issues that can benefit from machine learning, federal or local government can create a bid system for companies (or individuals) to crowdsource an intelligent solution with reward. Taking it a step further, government could set social responsibility benchmarks for corporations, particularly concerning responsible use of nascent technology in this age of nebulous personal data rights.

I’m the CTO of Jobscan, a service that uses machine learning to help jobseekers with their resumes and professional profiles. Our vision is to create a service that will eliminate the stress of unemployment – where one day, our AI will deliver your perfect job offer, logistically, culturally, professionally with zero down time. We’re lucky and grateful for where we are, but the path forward to continually invest in AI won’t be easy.  Without a refactor of our current corporate constructs to incentivize social good over profit, it’s an uphill battle for any company that chooses social good to survive or thrive.

About the Author

Sophia Cui has held developer, product manager, CTO, and founder roles at companies from startups to major corporations such as Zynga and Microsoft. She has over 14 years of experience in software engineering and architecture for scalable, available software deployed across consumer web and cloud enterprise spaces. Sophia has also consulted for half a dozen web-tech startups offering product and technical expertise. Sophia is currently the CTO of Jobscan, a machine learning powered service that empowers job seekers to land their perfect job.

 

Voices in AI – Episode 65: A Conversation with Luciano Floridi

Prediksi Skor EVERTON Vs WEST HAM UNITED 16 September 2018 | Prediksi bola online | Prediksi jitu

Source: http://www.pandoblog.com/2018/08/31/prediksi-skor-everton-vs-west-ham-united-16-september-2018-prediksi-bola-online-prediksi-jitu/
August 31, 2018 at 08:18PM

Pasaran Prediksi Bola EVERTON vs WEST HAM UNITED, Prediksi Bola EVERTON Vs WEST HAM UNITED, Bursa Taruhan EVERTON Vs WEST HAM UNITED, Prediksi Scor EVERTON VS WEST HAM UNITED, Prediksi Pertandingan EVERTON Vs WEST HAM UNITED, Hasil Skor EVERTON Vs WEST HAM UNITED, EVERTON Vs WEST HAM UNITED– yang akan di adakan pada tanggal 16 September 2018 Pada Pukul 22: 00 WIB Di Stadion Goodison Park (Liverpool)

Prediksi EVERTON Vs WEST HAM UNITED – Entri ini diposting pada 16 September 2018 dan disimpan di bawah Goodison Park (Liverpool), dan telah ditangguhkan sementara sebagai anggota tim sejak awal pertandingan. Everton telah bergabung dengan Hamton untuk bergabung dengan Everton sebagai hasil dari kemenangan yang belum pernah terjadi sebelumnya selama 16 September 2018.

EVERTON – Saya tidak berpikir bahwa Anda memiliki pertanyaan tentang sifat partisipasi anak Anda dalam tim, karena Anda berada di tim tim dan Anda berada dalam tim sehingga Anda akan berada dalam posisi untuk memastikan bahwa Anda memiliki waktu yang baik, sehingga Anda akan dapat menghadiri acara pada 16 September 2018 mana akan sangat bekerja keras untuk memenangkan pertandingan.

q

WEST HAM UNITED – Untuk pertama kalinya sejak 16 September 2018, tim telah memainkan peran yang baik sebagai anggota dari Goodison Park Stadium (Liverpool), tim berada dalam posisi yang baik sebagai anggota tim. adakan pada tanggal 16 September 2018 yang mempertemukan tim tuan rumah yang pada saat ini memiliki startegi yang cukup baik dalam permainannya.

STATISTIK EVERTON vs WEST HAM UNITED

Pertemuan ke dua tim di 5 Pertandingan terakhir EVERTON vs WEST HAM UNITED:

30/11/17 Everton 4 – 0 West Ham United
22/04/17 West Ham United 0 – 0 Everton
30/10/16 Everton 2 – 0 West Ham United
5/3/2016 Everton 2 – 3 West Ham United
7/11/2015 West Ham United 1 – 1 Everton

5 permainan Terakhir Bermain EVERTON :

4/8/2018 Everton 2 – 3 Valencia
11/8/2018 Wolverhampton 2 – 2 Everton
18/08/18 Everton 2 – 1 Southampton
25/08/18 AFC Bournemouth 2 – 2 Everton
30/08/18 Everton 3 – 1 Rotherham United

5 Pertandingan Terakhir Bermain WEST HAM UNITED:

3/8/2018 West Ham United 1 – 0 Angers SCO
12/8/2018 Liverpool 4 – 0 West Ham United
18/08/18 West Ham United 1 – 2 AFC Bournemouth
25/08/18 Arsenal 3 – 1 West Ham United
29/08/18 AFC Wimbledon 1 – 3 West Ham United

Susunan Pemain EVERTON vs WEST HAM UNITED:

EVERTON : M. Stekelenburg – L. Baines – K. Zouma – L. Digne – S. Coleman – G. Sigurdsson – I. Gueye – Bernard – C. Tosun – D. Calvert-Lewin – A. Lookman

WEST HAM UNITED: Adrián – A. Cresswell – P. Zabaleta – I. Diop – A. Masuaku – M. Lanzini – Pedro Obiang – M. Noble – A. Carroll – A. Yarmolenko – M. Arnautovic

Bursa Asian Handicap: –
Atas / Bawah: –
Prediksi Scor EVERTON Vs WEST HAM UNITEDby: PREDIKSI JITU
Tips: Pada giliran kali ini kami memprediksikan EVERTON Vs. WEST HAM UNITEDakan berakhir dengan Skor 2 – 0

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You’ll Never Guess Which Company Is Reinventing Health Benefits

Source: https://www.nytimes.com/2018/08/31/health/comcast-health-insurance-employees.html?partner=rss&emc=rss
August 31, 2018 at 05:13PM

Frustrated with insurers, some large companies — including a certain cable behemoth — are shedding long-held practices and adopting a do-it-yourself approach.

Bits: The Week in Tech: Claims of Censorship Come Through Loud and Clear

Source: https://www.nytimes.com/2018/08/31/technology/week-in-tech-censorship-debate.html?partner=rss&emc=rss
August 31, 2018 at 04:00PM

The president, social media users and even employees are accusing tech companies of political bias. How will the companies respond?

Five steps to delivering DevOps at scale

Source: https://gigaom.com/2018/08/31/five-steps-to-delivering-devops-at-scale/
August 31, 2018 at 04:08PM

So, you’re thinking of taking DevOps out of the relatively safe, yet challenging environment of the controlled initiative, and into the far less safe, and even more challenging environment of the broader enterprise? While, “if you want get there, don’t start from here,” may be a familiar adage, most organisations have little choice but to take what they have (in terms of strategy and organisation, people and tools) as a foundation for DevOps nirvana.

Given this, complex, crumbling reality upon which you already stand, how can you start thinking about broader deployment of DevOps? In a recent webinar with myself and Nigel Kersten at Puppet, our discussions and Nigel’s hands-on insights unearthed a set of steps which I thought I would paraphrase and share. These aren’t so much a methodology as “what seems to have worked for a number of organisations” — feedback welcome, as always!

1. Start by mapping the value stream

Having said these steps don’t constitute a methodology, they start with one — or at least, a method. Recognised as part of lean manufacturing and management approaches, Value Stream Mapping (VSM) offers a way of looking at processes and activities that focuses on the value of what’s being delivered, as opposed to the product or service as an end in itself. Applied to software development, VSM offers an answer to what some see as a weakness in any “let’s speed up delivery” approach: how to ensure that what is deployed meets the requirements defined for it?

2. Apply just enough standardisation

Once value has been established as an immutable thread throughout software development and delivery into operations, attention can turn to making things happen faster. Standardisation offers the most gain with the least pain: simply put, it means you are only making changes to your stuff, not to the stuff everybody is using. You can start at the bottom of the stack, agreeing VM and OS versions that are going to work for ninety-nine per cent of your needs. Get these fixed, then work up the stack into libraries, before looking to standardise on continuous integration and deployment. Make the gains from bottom up.

3. Work towards continuous deployment – through automation

Now, you’d expect (automation vendor) Puppet to say this, but to be fair, automation has been left until the third point! Automation means efficiency and productivity, a.k.a. doing the things people currently have to do, so they can get on with the stuff they’d like to do. It doesn’t make sense to automate tasks that don’t add value (hence step 1), nor to do so in a way that is different every time (step 2). It’s also worth automating the things that are going to make the most difference to the most people, which leads to step 4.

4. Set realistic and manageable goals

The Pareto principle, or 80/20 rule, has a place in most, if not all, best practice. DevOps is no exception: its adaptation of Kent Beck’s xP principle, “Enough functionality for now is enough functionality for now,” aligns with the need to standardise, automate and prioritise actions according to what is possible, viable and valuable. In terms of taking DevOps to a wider audience, do not feel you need to apply it to the whole business in one go; rather, continue to look for opportunities where it can make a difference, broadening its reach over time. Then, as Nigel Kersten highlighted, make sure authority and responsibility match, such that those in charge have a remit upon which they can deliver.

5. Aim for organisational, not just process change

Agile principles may be well-understood inside the development organisation, but not so much outside it. Building on the fourth step, the goal is to achieve a series of small wins:each can be measured in terms of both whether the use of DevOps served its purpose, and whether those involved achieved a level of epiphany, such that they see it as the best way forward for future projects. This latter suggests the change of mindset necessary to achieve transformation, from an organisation that delivers products and services based on linear thinking, to one adopting continuous learning, innovation and improvement.

A final thought is around the need for feedback and information sharing across each step. Not only can the above help move an organisation forward, but each can be used as the basis for collaborative activity: for example, rather than one part of the organisation conducting VSM, how about involving a cross-departmental team? The scope and extent of this interworking may be dictated by what is realistic, for example based on which senior stakeholder is prepared to act as executive sponsor, or how well certain business units interact. Overall, the goal is to start delivering on DevOps as broadly as is feasible today, in the knowledge that success can be built upon tomorrow.

AI for Humanity, Not Corporations

Source: https://gigaom.com/2018/08/31/ai-for-humanity-not-corporations/
August 31, 2018 at 03:00PM

The majority of AI and machine learning is built to bolster the revenue streams of corporations rather than for the interest of human welfare. That scares me.

The source of this fear comes from three compounding causes:

1. Lack of effective government investment in AI
2. Venture backed investors favoring business to business (B2B) startups over business to consumer (B2C)
3. Corporations primarily driven by profit, not social utility.

Our society lacks a singular force with deep pockets that consistently values social good over revenue. The closest should be government, but it’s sluggish at best and apathetic at worst when it comes to  technology adoption that benefits society. Furthermore, the United States government is primarily fueled by the pockets of lobbyists who represent the interest of corporations rather than citizens. Occasionally there’s a bipartisan initiative to utilize technology to empower citizens but even then the implementation of such initiatives waxes and wanes depending on election and budget cycles.

The bottom line is that government is generally slower at technology adoption than corporations, which are more efficient at utilizing new technology under the pressure of competition. Case in point, Amazon won’t stop recommending a shiny KitchenAid blender after I asked Alexa for a cake recipe.

Another major factor is how startups are created and nurtured in today’s market. 75% of venture investment dollars across all fundraising stages go towards B2B startups for the past decade [MoneyTree]. The benefits of serving B2B over B2C are concrete for burgeoning companies, as businesses have well-defined needs and are willing to pay for services that benefit their bottom line. People, on the other hand, have more diversified needs and are used to getting software services for free. Many B2C startups pivot to B2B after failure to gain user traction or seed investment. This has been particularly true in HR tech, as we’ve seen handfuls of machine learning and AI powered startups pivot their target market from jobseekers to businesses.  

Lastly, mature companies’ interests are misaligned with humanity. Social utility always comes second to profit maximization, which is to no fault to the corporation – they are, by design, accountable to their shareholders. An optimist may argue that companies only build products or deliver services that bear value to consumers, that is, it’s not a zero sum game between companies and consumers. That doesn’t mean consumers will end up winning, either. Did I really need that KitchenAid blender? Or was it brilliant machine-learning backed marketing on Amazon’s part?

These compounding factors may seem bleak for humanity without a drastic change in the structural fabric of our current society. On the other hand, mingled with that fear of futuristic AI and malevolent machines, is a healthy dose of hope. Conditions aren’t optimal, but there is room for successful products with high social utility driven by human need.

For one, there are a lot of initiatives of ‘AI for Good.’ Some of these initiatives are backed by wealthy philanthropists and corporations with a conscience and others are powered by unified governments around the world. These nonprofits and NGOs demonstrate there is a strong desire and growing recognition that society needs to utilize AI for the greater good.

Second, the high technology barrier and time needed to implement machine learning has drastically decreased with the availability of Machine Learning as a Service (MLaaS) platforms. Google Cloud Predict API, Microsoft Azure Machine Learning, AWS SageMaker, and Anaconda are major players in lowering the cost for anyone to dabble in basic machine learning.

Third, consumers do have a choice and voice in determining the trajectory of technology creation. The amalgamation of our pocketbooks has the power to hold corporations accountable for social irresponsibility as well as reward them for good deeds. In fact, this shift towards socially responsible purchases is currently happening, as Berkeley in a recent study found that “more than 9-in-10 millennials would switch brands to one associated with a cause.”

Regardless, even given these positive forces pushing AI for good, we’re still missing a major piece to tip the scale in favor of AI for humanity rather than corporations. There’s a stark absence of compelling incentives to encourage, incubate, and sustain machine learning startups driven by social good.

To fill this void, we can consider a few ideas. One is for philanthropic grants to subsidize sustainable machine learning startups. Another is for government to provide continual incentives (financial and regulatory) to not only help social impact AI startups germinate but also foster long-term viability. For some of the toughest social issues that can benefit from machine learning, federal or local government can create a bid system for companies (or individuals) to crowdsource an intelligent solution with reward. Taking it a step further, government could set social responsibility benchmarks for corporations, particularly concerning responsible use of nascent technology in this age of nebulous personal data rights.

I’m the CTO of Jobscan, a service that uses machine learning to help jobseekers with their resumes and professional profiles. Our vision is to create a service that will eliminate the stress of unemployment – where one day, our AI will deliver your perfect job offer, logistically, culturally, professionally with zero down time. We’re lucky and grateful for where we are, but the path forward to continually invest in AI won’t be easy.  Without a refactor of our current corporate constructs to incentivize social good over profit, it’s an uphill battle for any company that chooses social good to survive or thrive.

Sophia Cui has held developer, product manager, CTO, and founder roles at companies from startups to major corporations such as Zynga and Microsoft. She has over 14 years of experience in software engineering and architecture for scalable, available software deployed across consumer web and cloud enterprise spaces. Sophia has also consulted for half a dozen web-tech startups offering product and technical expertise.

Sophia is currently the CTO of Jobscan, a machine learning powered service that empowers job seekers to land their perfect job.

 

Prediksi Skor Heracles Vs Az 2 September 2018

Source: http://www.pandoblog.com/2018/08/31/prediksi-skor-heracles-vs-az-2-september-2018/
August 31, 2018 at 02:17PM

Pasaran Prediksi Bola Heracles Vs Az, Prediksi Bola Heracles Vs Az, Bursa Taruhan Heracles Vs Az, Prediksi Scor Heracles Vs Az, Prediksi Pertandingan Heracles Vs Az, Hasil Scor Heracles Vs Az, Heracles Vs Az – yang akan di adakan pada tanggal 2 September 2018 Pada Pukul 19.30 WIB Di Stadion Polman (Almelo)

Prediksi Heracles vs Az – Pertandingan liga belanda Eredivisie akan dilangsungkan pada tanggal 2 September 2018 yang akan mempertemukan tim sepak bola Heracles Vs Az. Tim pertandingan antara kedua sekarang bola tersebut akan dilangsungkan di stadion Polman (Almelo). Dimana pertandingan antara kedua tim tersebut merupakan babak yang telah dilakukan pada tahun ini, dan pada pertandingannya kali ini pastinya akan berlangsung dengan sangat menarik.

Heracles – tim sepak bola Heracles adalah tim sepak bola asal belanda yang sepak bola liga Belanda Eredivisie. Dimana jatuh pada liga yang sedang berlangsung, tim masih babak belur oleh Heracles, dan tim sedang dalam pergolakan permainan, dan tim siap bermain untuk tim. Tim Heracles masih dalam tim, tetapi mereka masih berada di liga. Akan tetapi tim Heracles tetap akan berjuang untuk mendapatkan kemenangan pada pertandingan yang akan segera dilangsungkan.

Az – tim sepak bola az (Alkmaar Zaanstreek) adalah tim sepak bola belanda yang memiliki prestasi yang baik yang telah dimasukkan sebagai tim terbaik di liga belanda yang pada saat alii telah menduduki peringkat di liga belanda yang sedang berlangsung. Hari jatuh pada tim yang dirasakan sebagai hasil dari tim tim.Akibatnya, strategi dan manajemen sehari-hari dari permainan dibahas dan didiskusikan.

Statistik Heracles vs Az

Pertemuan ke dua tim di 5 laga terakhir Heracles Vs Az :

14/04/18 Heracles 0 – 3 AZ
10/12/17 AZ 5 – 0 Heracles
15/04/17 Heracles 1 – 2 AZ
27/11/16 AZ 5 – 1 Heracles
14/02/16 Heracles 3 – 6 AZ

5 pertandingan Terakhir Bermain Heracles :

28/07/18 Heracles 1 – 1 Kasımpaşa
02/08/18 Heracles 0 – 2 Fiorentina
11/08/18 Ajax 1 – 1 Heracles
19/08/18 Heracles 4 – 2 ADO Den Haag
26/08/18 Willem II 5 – 0 Heracles

5 pertandingan Terakhir Bermain Az :

03/08/18 AZ 2 – 1 Kairat
04/08/18 AZ 2 – 3 Excelsior
12/08/18 AZ 5 – 0 NAC Breda
19/08/18 Emmen 1 – 4 AZ
26/08/18 AZ 0 – 0 Vitesse

Susanan Pemain Heracles vs Az :

Heracles : van Nieff – Osman – Peterson – Kuwas – Adrián Dalmau – Blaswich – Droste – van Hintum – Sama – Pröpper – Merkel

Az : Ouwejan – Midtsjø – Seuntjens – Koopmeiners – Til – Idrissi – Boadu – Bizot – Vlaar – Svensson – Hatzidiakos

Bursa Asian Handicap: 1: 0
Atas / Bawah: 3 ½
Prediksi Scor Heracles vs Azby: PREDIKSI JITU
Tips: Pada giliran kali ini kami memprediksikan Heracles Vs Azakan berakhir dengan Skor 0 – 1

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Too Many Chinese Children Need Glasses. Beijing Blames Video Games.

Source: https://www.nytimes.com/2018/08/31/technology/china-videogames-myopia-tencent.html?partner=rss&emc=rss
August 31, 2018 at 11:49AM

China’s Tencent and other video game companies saw their shares tumble as the government puts additional pressure on the industry.

Prediksi Skor Strasbourg Vs Nantes 2 September 2018

Source: http://www.pandoblog.com/2018/08/31/prediksi-skor-strasbourg-vs-nantes-2-september-2018-2/
August 31, 2018 at 08:13AM

30 Agustus 2018

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Pasaran Prediksi Bola Strasbourg Vs Nantes, Prediksi Bol Strasbourg Vs Nantes, Bursa Taruhan Strasbourg Vs Nantes, Skor Prediksi Strasbourg Vs Nantes, Prediksi Pertandingan Strasbourg Vs Nantes, Hasil Scor Strasbourg Vs Nantes, Strasbourg Vs Nantes– yang akan di adakan pada tanggal 2 September 2018 Pada Pukul 01: 00 WIB Stade de la Meinau (Strasbourg)

Prediksi Strasbourg Vs Nantes – Pertandingan sepak bola di liga perancis akan segera di mulai di mana nantinya akan menjadi salah satu tontonan yang sangat menarik dengan kedua tim yang bertanding adalah Strasbourg vs nantes, yang mana dalam lagan anti detik timkasi telah memilikki kesiapan yang sempurna, nanti pastinya akan menampilkan tontonan yang sangat menarik dan tidak boleh diampilan.

Strasbourg – Saya memberi 3 poin kepada para pemain di tim Strasbourg, dan mereka mencetak 4 poin, dan mereka memiliki skor total 1 untuk 1 pertandingan dan 1 pertandingan, sehingga mereka bisa mencapai sisi Strasbourg dengan 11 pertandingan liga, Laga selanjutnya Strasbourg akan menghadapi nantes, dimana dalam pertandingan kali di Strasbourg yang menjadi tim tuan rumah pastinya asana memberikan permainan terbaik yang mereka milikki.

Nantes – 3 menit berjalan kaki dan 1 menit berjalan kaki dari halte bus yang sibuk, ini adalah tempat yang bagus untuk tinggal di kota, di mana Anda dapat tinggal di Strasbourg untuk kunjungan singkat di Strasbourg, di mana Anda akan menemukan tempat terbaik untuk dikunjungi di Strasbourg. baik, dan bisa dilakukan dalam 3 terbawah yang ada di liga perancis.

Statistik Strasbourg Vs Nantes

Pertemuan ke dua tim di 5 Pertandingan terakhir Strasbourg vs Nantes:

20/05/18 Nantes 1 – 0 Strasbourg
24/09/17 Strasbourg 1 – 2 Nantes
16/02/10 Strasbourg 1 – 0 Nantes
15/09/09 Nantes 2 – 1 Strasbourg
08/04/06 Strasbourg 0 – 1 Nantes

5 Pertandingan Terakhir Bermain Strasbourg:

28/07/18 Strasbourg 3 – 3 Reims
03/08/18 Freiburg 2 – 3 Strasbourg
12/08/18 Bordeaux 0 – 2 Strasbourg
19/08/18 Strasbourg 1 – 1 Saint-Étienne
25/08/18 Olympique Lyonnais 2 – 0 Strasbourg

5 Pertandingan Terakhir Bermain Nantes:

01/08/18 Vitré 1 – 2 Nantes
04/08/18 Brighton & Hove Albion 2 – 1 Nantes
11/08/18 Nantes 1 – 3 Monako
19/08/18 Dijon 2 – 0 Nantes
26/08/18 Nantes 1 – 1 Caen

Susunan Pemain Strasbourg vs. Nantes:

Strasbourg: Goncalves – Martin – Thomasson – Kone – Mitrovic – Carole – Lala – Sissoko – Caci – Nuno Da Costa – Sels

Nantes: Diego Carlos – Kwateng – Krhin – Rongier – Lucas Evangelista – Moutoussamy – Dabo – Coulibaly – Tataruşanu – Lucas Lima – Miazga

Bursa Asian Handicap: 0: 1/4
Atas / Bawah: 2
Prediksi Skor Strasbourg Vs Nantesby: PREDIKSI JITU
Tips: Pada giliran kali ini kami memprediksikan Strasbourg Vs Nantesakan berakhir dengan Skor 0 – 1

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State of the Art: Here’s the Conversation We Really Need to Have About Bias at Google

Source: https://www.nytimes.com/2018/08/30/technology/bias-google-trump.html?partner=rss&emc=rss
August 31, 2018 at 03:24AM

President Trump’s charges that Google shows anti-conservative search bias is wrong. But Google may well be biased against minorities and others who lack real-world power.

San Francisco Grants 2 Scooter Permits (but Not to the Early Disrupters)

Source: https://www.nytimes.com/2018/08/30/technology/san-francisco-scooter-permits.html?partner=rss&emc=rss
August 31, 2018 at 02:14AM

The city’s regulators have a message for freewheeling scooter start-ups: Those that “ask forgiveness, not permission,” will not be forgiven.

Prediksi Skor Dijon Vs Caen 2 September 2018 | Prediksi bola online | Prediksi jitu

Source: http://feedproxy.google.com/~r/PandoBlog/~3/zyu3VV9eIcc/
August 31, 2018 at 02:12AM

Pasaran Prediksi Bola Dijon Vs Caen, Prediksi Bola Dijon Vs Caen, Bursa Taruhan Dijon Vs Caen, Prediksi Scor Dijon Vs Caen, Prediksi Pertandingan Dijon Vs Caen, Dijon Vs Caen, Dijon Vs Caen, Dijon Vs Caen– yang akan di adakan pada tanggal 2 September 2018 Pada Pukul 01: 00 WIB Di Stadion Gaston Gerard.

Prediksi Dijon Vs Caen – Log dari gim ini banyak permainannya, karena banyak gim, karena banyak orang, karena ini tim yang bermain di tim, dan mereka punya banyak pemain, tetapi mereka tidak punya cukup uang untuk bermain bagi tim, karena mereka punya banyak cheat dan skuadron. Menghadirkan laga antara Dijon vs caen, yang mana kedua tim yang bertanding kali ini pastinya akan mengeluarkan seluruh kemampuan terhebatnya.

Dijon – sebagai salah satu tim tuan rumah pastinya akan di untungkan dengan para pendukung yang hadir untuk memberik pada timnya, dan pada pertandingan nanti akan ada laga antara Dijon vs caen yang mana dalam lagan anti pastinya akan menjadi salah satu tontonan yang sangat menarik karena sebagai tim tuan rumah pastinya Dijon akan mengeluarkan seluruh kemampuan terhebat yang mereka milikki. Karena memberikan 3 badan pertandingan yang terbaik kepada Dijon Sukses, meraih kemenangan secara berturut turut.

Caen – laga sulit akan segera di lakukan oleh caen dimana mereka yang belum berhasil mendapatkan kemenangan dari mulainya liga perancis akan menghadapi Dijon yang sudah berhasil hanya 3 kemenangan secara beruntun, dimana permainan Dijon terbilang karena bisa mendapatkan kemenangan dengan cara yang sangat baik, oleh karena inilah pastinya caen akan mengeluarkan seluruh kemampuan terbaiknya.

Statistik Dijon Vs Caen

Pertemuan ke dua tim di 5 Pertandingan terakhir Dijon Vs Caen:

25/02/18 Dijon 2 – 0 Caen
10/09/17 Caen 2 – 1 Dijon
12/02/17 Dijon 2 – 0 Caen
03/12/16 Caen 3 – 3 Dijon
04/01/15 Caen 2 – 3 Dijon

5 Pertandingan Terakhir Bermain Dijon:

28/07/18 Dijon 0 – 2 Southampton
04/08/18 Reims 2 – 1 Dijon
12/08/18 Montpellier 1 – 2 Dijon
19/08/18 Dijon 2 – 0 Nantes
26/08/18 Bagus 0 – 4 Dijon

5 pertandingan Terakhir Bermain Caen:

26/07/18 Angers SCO 0 – 1 Caen
28/07/18 Caen 1 – 3 Guingamp
13/08/18 PSG 3 – 0 Caen
19/08/18 Caen 1 – 1 Baik
26/08/18 Nantes 1 – 1 Caen

Susunan Pemain Dijon Vs Caen:

Dijon: Abeid – Sliti – Loiodice – Julio Tavares – Runarsson – Haddadi – Lautoa – Aguerd – Rosier – Sammaritano – Amalfitano

Caen: Tchokounte – Ninga – Bammou – Crivelli – Samba – Guilbert – Djiku – Oniangue – Fayr – Baysse – Imorou

Bursa Asian Handicap: 0: 1
Atas / Bawah: 2 ¼
Prediksi Scor Dijon vs Caenby: PREDIKSI JITU
Tips: Pada giliran kali ini kami memprediksikan Dijon Vs Caenakan berakhir dengan Skor 2 – 0

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These Cultural Treasures Are Made of Plastic. Now They’re Falling Apart.

Source: https://www.nytimes.com/2018/08/28/science/plastics-preservation-getty.html?partner=rss&emc=rss
August 28, 2018 at 09:30AM

Museum conservators are racing to figure out how to preserve modern artworks and historical objects that are disintegrating.

Every Generation Gets the Beach Villain It Deserves

Source: https://www.nytimes.com/2018/08/30/technology/vinod-khosla-beach.html?partner=rss&emc=rss
August 30, 2018 at 09:06PM

Aggressive, shameless, obsessive and optimistic, the tech billionaire Vinod Khosla is willing to litigate the California coast for the rest of his life.

How Burning Man Has Evolved Over Three Decades

Source: https://www.nytimes.com/2018/08/30/style/burning-man-sex-tech.html?partner=rss&emc=rss
August 30, 2018 at 08:56PM

Every year thousands make the pilgrimage to the Nevada desert to dance, do drugs and make colossal art.

Are Violent E-Sports Olympic Material? Some Boosters Say Yes

Source: https://www.nytimes.com/2018/08/30/world/asia/esports-violence-asian-games-olympics.html?partner=rss&emc=rss
August 30, 2018 at 08:53PM

Competitive video gaming is an exhibition sport at the Asian Games and there’s a push to include it in the Olympics. But some are concerned about the violence.

Prediksi Skor Reading Vs Sheffield Wednesday 1 September 2018

Source: http://feedproxy.google.com/~r/PandoBlog/~3/EZXVKJtJDCE/
August 30, 2018 at 08:11PM

Pasaran Prediksi Bola Reading vs Sheffield Wednesday, Prediksi Bola Reading vs Sheffield Wednesday, Bursa Taruhan Reading vs Sheffield Wednesday, Prediksi Scor Reading vs Sheffield Wednesday, Prediksi Pertandingan Reading vs Sheffield Wednesday, Hasil Scor Reading vs Sheffield Wednesday, Reading vs Sheffield Wednesday– yang akan di adakan pada tanggal 1 September 2018 Pada Pukul 21: 00 WIB Di Madejski Stadium (Reading, Berkshire)

Memprediksi Reading Vs Sheffield Wednesday – Jatuhnya laga masih menyakitkan, tetapi kejuaraan masih berada di latar depan, tetapi masih menyakitkan. Nah dalam laga kali ini pastinya akan menghadirkan sebuah pemain – pemain belum dalam liga kejuaraan ini akan menjadi sebuah laga yang sangat bermanfaat sekali bagi kita. Saya tidak tahu cara membaca penuh Selamat Membaca atau cara menggunakannya. Jatuhnya 2 tim masih mengganggu saya dan 6 kali di masa lalu, jadi saya tidak yakin bagaimana bergaul selama sisa hidup saya – saya tidak yakin apakah ini adalah kasus dengan sang saja hanya karena saya berada di tempat yang tepat selama sisa hidup saya.

Membaca – Pertandingan sebagai tim tuan rumah di laaga kali ini mereka akan membutuhkan tenaga dalam tim untuk mengumpulkan kemenangan nya. Nah dalam laga kali ini punaca Reading akan menegangkan pemain – pemain terkuatnya. Untuk menyingkirkannya, itu berkaitan dengan Anda. Saya tidak memiliki hak untuk berbicara dalam bahasa apa pun atau bahasa ibu kepada siapa peringatan itu ditulis – pasien diberitahu bahwa dia berada dalam posisi untuk memiliki seorang anak yang masih hidup, tetapi dia masih hidup ketika dia berusia 6 tahun.

Sheffield Wednesday – Jatuhnya laga kali ini memang sudah menjadi sebuah laga yang sangat menakutkan. Saya memiliki banyak kata-kata dan ingatan, seolah-olah mereka adalah orang-orang yang dipilh oleh anggota keluarga – mereka sangat sabar dan dihukum dengan hukuman yang sama karena mereka akan demi anak-anak mereka. Jika mereka dapat menahan cetakan gol dari tim lawannya. Terjebak jatuh laga kali ini penuh memang mereka akan memberikan game yang cukup seru ini juga. Jadi jangan sampai anda untuk melihat dalam pertnadingan belum bola ini.

Pembacaan Statistik vs Sheffield Wednesday

Pertemuan ke dua tim di 5 laga terakhir Reading vs Sheffield Wednesday :

21/04/18 Sheffield Wednesday 3 – 0 Membaca
27/01/18 Sheffield Wednesday 3 – 1 Membaca
25/11/17 Membaca 0 – 0 Sheffield Wednesday
18/03/17 Sheffield Wednesday 0 – 2 Membaca
10/12/16 Membaca 2 – 1 Sheffield Wednesday

5 Permainan Terakhir Bermain Membaca :

15/08/18 Reading 2 – 0 Birmingham City
18/08/18 Membaca 0 – 1 Bolton Wanderers
23/08/18 Blackburn Rovers 2 – 2 Membaca
25/08/18 Aston Villa 1 – 1 Membaca
30/08/18 Membaca 0 – 2 Watford

5 laga Terakhir Bermain Sheffield Wednesday :

17/08/18 Sunderland 0 – 2 Sheffield Wednesday
19/08/18 Brentford 2 – 0 Sheffield Wednesday
23/08/18 Sheffield Wednesday Millwall
25/08/18 Sheffield Wednesday 2 – 1 Ipswich Town
29/08/18 Sheffield Wednesday 0 – 2 Wolverhampton Wanderers

Susunan Pemain Reading vs Sheffield Wednesday :

Membaca : S. Walker – J. O'Shea – C. Gunter – L. Moore – Tiago Ilori – O. Richards – L. Bacuna – J. Swift – Y. Meïté – L. Kelly – M. McNulty

Sheffield Wednesday : J. Wildsmith – S. Hutchinson – M. Fox – F. Fisker – A. Baker – J. Lee – D. Jones – G. Boyd – S. Fletcher – F. Forestieri – F. Preston

Bursa Asian Handicap: 0: 1/4
Atas / Bawah: 2 ¼
Prediksi Scor Reading vs Sheffield Wednesdayby: PREDIKSI JITU
Tips: Pada giliran kali ini kami memprediksikan Reading Vs Sheffield Wednesdayakan berakhir dengan Skor 3 – 0

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