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Commerce Cloud Computing Market Manufacturers, Growth Opportunities, Regions, Type and Application, Revenue Industry Forecast to 2027 NeighborWebSJ -…

May 1, 2021 | Author: admin

Today, the global Commerce Cloud Computing market is dynamically changing due to emerging markets, digitalization, evolving consumer demographics, and due to new business models adopted to keep pace with the changing market landscape. The changing business dynamics have urged the Commerce Cloud Computing industry players to explore all these market aspects to tap new opportunities and stay ahead of the competition. Most, importantly, analyzing where the opportunities lie requires a detailed and granular study of each market aspect.

The report concludes with the profiles of major players in the Commerce Cloud Computing market are:

IBM (US), SAP (Germany), Salesforce (US), Apttus (US), Episerver (US), Oracle (US), Magento (US), Shopify (Canada), BigCommerce (US), and Digital River (US), Elastic Path (Canada), VTEX (Brazil), commercetools (Germany), Kibo (US), and Sitecore (India).

Discover Who You Really Compete Against In The Marketplace, Get Free PDF Sample Report Now @ https://www.adroitmarketresearch.com/contacts/request-sample/906?utm_source=neighb

This global Commerce Cloud Computing market report covers the geographical market and regions well known in the global Commerce Cloud Computing industry along with their market scope in the coming years, competitiveness, strengths, weaknesses, and feasible opportunities. This helps market participants design solutions that fit the unique characteristics of the selected region, country, and its consumers. The approaches and ingenuity used in the study to gather historical and current data of the market provide the market participants the detailed insights and quality solutions for long-term business success. The report also acts as an enabler for businesses for making well-formulated decisions and enables them to make use of their resources efficiently. The report conducts a granular segmentation and provides persona-based market development strategies.

Market opportunities, risk factors, individual growth trends, prospects, and the contribution of each industry in the Commerce Cloud Computing market by shares and by volume are detailed in the study. The Porters Five forces analysis provided in the global Commerce Cloud Computing market research report allows the business managers and executives to build a customer-centric based business model. To take this research study to the next level, the report has employed advanced analytic techniques to curate accurate data figures and growth estimates.

Global Commerce Cloud Computing Market research is an understanding report with meticulous efforts undertaken to study the right and important information offering an entire study of the Impact of COVID-19 on Commerce Cloud Computing Market, Industry Outlook, Opportunities in Market, and Expansion By 2026 and also taking into consideration key factors like drivers, challenges, recent trends, opportunities, advancements, and competitive landscape. Research techniques like PESTLE and SWOT analysis are made available by the researchers.

In this study, the years considered to estimate the market size of Commerce Cloud Computing Market:History Year: 2015 2020Base Year: 2020Estimated Year: 2021Forecast Year: 2021 2026

The global Commerce Cloud Computing market report includes detailed study of all the foremost industry events in the Commerce Cloud Computing market across the globe. The details on the numerous major investments being made in the Commerce Cloud Computing industry over the years are included in the market study. The thorough analysis of all the opportunities and challenges in the Commerce Cloud Computing industry is provided in the report. The Commerce Cloud Computing market study analyzes all the latest market trends and techniques being introduced in the Commerce Cloud Computing industry. The study on demands of the Commerce Cloud Computing market is included in the Commerce Cloud Computing market study. The report based on the Commerce Cloud Computing industry discusses the future scope of the Commerce Cloud Computing market.

Any Questions? Feel Free To Enquire Here. Well put you on the Right Path @ https://www.adroitmarketresearch.com/industry-reports/commerce-cloud-computing-market?utm_source=neighb

Major Type of Commerce Cloud Computing Market Covered:

NA

Application Segments Covered in Market:

NA

Highlights of the Report:

*The report covers the leading organizations and companies involved in the designing, development, marketing, manufacturing, and selling of the global Commerce Cloud Computing market products or services.

*The comprehensive data provided in this report is validated by the expertise of many different professionals in the field of the global Commerce Cloud Computing market.

*The latest trends in the Commerce Cloud Computing industry as a result of a combination of new business models, digital sciences, and new technologies are presented in the report.

*The Commerce Cloud Computing industry value chain is briefly analyzed.

*The report conducts a financial analysis of the market.

You Get Access to Answers for the Following Questions:

*What marketing approaches are used by the leading players to identify customer preferences at a granular level and how have the leading players become a preferred brand in the marketplace?

*What are the key segments in the Commerce Cloud Computing industry?

*What are the infrastructural and technological developments taking place in the market?

Speak To Our Analyst For A Discussion On The Above Findings, And Ask For A Discount On The Report @ https://www.adroitmarketresearch.com/contacts/enquiry-before-buying/906?utm_source=neighb

About Us :

Contact Us :

Ryan JohnsonAccount Manager Global3131 McKinney Ave Ste 600, Dallas,TX75204, U.S.A.Phone No.: USA: +1 972-362 -8199/ +91 9665341414

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Healthcare Cloud Computing Market Size, Growth, Trends, Demand, Applications, Types, Technology, Industry Analysis and Forecasts Research Report 2027 …

May 1, 2021 | Author: admin

The global healthcare cloud computing market is estimated to reach USD 90.46 Billion by 2027, according to a current analysis by Emergen Research. The global healthcare cloud computing market is estimated to expand significantly in the near future, due to the increasing demand for cost-effective healthcare services. Rising demand for cloud technology in healthcare facilities and growing use of cloud techniques for cost cuts in the healthcare industry are expected to boost the global healthcare cloud computing market during the forecast period. Doctors and medical organizations achieve cost reductions to a significant extent by using cloud techniques.

Key questions answered in the report

What will be the market size in terms of value and volume in the next five years?

Which segment is currently leading the market?

In which region will the market find its highest growth?

Which players will take the lead in the market?

What are the key drivers and restraints of the markets growth?

You Can Download Free Sample PDF Copy of Healthcare Cloud Computing Market at https://www.emergenresearch.com/request-sample/425

Research Methodology

Data triangulation and market breakdown

Research assumptions Research data including primary and secondary data

Primary data includes breakdown of primaries and key industry insights

Secondary data includes key data from secondary sources

Key Highlights of Report

In November 2020, Cisco Systems Inc. declared to acquire Banzai Cloud Ltd. The acquisition would help Cisco build a cloud-native networking solution with the support from Banzai in terms of teams and assets.

The private cloud segment is projected to lead the global healthcare cloud computing market, with a market share of 18.0% during the forecast period. In private clouds, the capacity to track and preserve sensitive patient data persists within the organization. This would drive the segment in the near future.

The Platform-as-a-Service (PaaS) segment is expected to expand substantially during the forecast period. Platform-as-a-Service (PaaS) services in cloud are easily featured as well as interpreted by users through a web browser.

The pay-as-you-go model segment is expected to hold the largest market share during the forecast period. The most significant benefit of this model is that facilities or equipment are accessible and the expense is calculated within the reservation phase.

The North America region is expected to hold the largest share of the global healthcare cloud computing market during the forecast period. The continuing developments in technologies in cloud computing applications for healthcare also bolstered the growth of healthcare providers.

Key market participants are Koninklijke Philips NV, Microsoft Corporation, Cisco Systems Inc., Infosys Limited, Omnicell, Inc., CitiusTech Inc., Salesforce.com, Inc., Sectra AB, Allscripts Healthcare Solutions, Inc., and International Business Machines Corporation (IBM).

Get access to FREE Sample PDF Copy of Healthcare Cloud Computing Market at https://www.emergenresearch.com/request-sample/425

Regional scope- North America; Europe; Asia Pacific; Central & South America; MEA

Cloud Type Outlook (Revenue, USD Billion; 20172027)

Hybrid Cloud

Private Cloud

Public Cloud

Service Outlook (Revenue, USD Billion; 20172027)

Platform-as-a-Service

Infrastructure-as-a-Service

Software-as-a-Service

Application Outlook (Revenue, USD Billion; 20172027)

Non-clinical Information Systems

Clinical Information Systems

Price Model Outlook (Revenue, USD Billion; 20172027)

Pay-as-you-go

Spot Pricing

End-user Outlook (Revenue, USD Billion; 20172027)

Healthcare Payers

Healthcare Providers

The industry experts have left no stone unturned to identify the major factors influencing the development rate of the Healthcare Cloud Computing industry including various opportunities and gaps. A thorough analysis of the micro markets with regards to the growth trends in each category makes the overall study interesting. When studying the micro markets the researchers also dig deep into their future prospect and contribution to the Healthcare Cloud Computing industry.

Read more@ https://www.emergenresearch.com/industry-report/healthcare-cloud-computing-market

Table of Content

Chapter 1. Methodology & Sources

1.1. Market Definition

1.2. Research Scope

1.3. Methodology

1.4. Research Sources

1.4.1. Primary

1.4.2. Secondary

1.4.3. Paid Sources

1.5. Market Estimation Technique

Chapter 2. Executive Summary

2.1. Summary Snapshot, 2019-2027

Chapter 3. Key Insights

Chapter 4. Healthcare Cloud Computing Market Segmentation & Impact Analysis

4.1. Healthcare Cloud Computing Market Material Segmentation Analysis

4.2. Industrial Outlook

4.2.1. Market indicators analysis

4.2.2. Market drivers analysis

4.2.2.1. Stringent environmental regulations

4.2.2.2. Rising need to reduce bacterial or algal contamination in water systems

4.2.2.3. Increasing demand for biocides for municipal water treatment

4.2.3. Market restraints analysis

4.2.3.1. Fluctuating prices of raw material

4.2.3.2. Present challenging economic conditions due to the pandemic

4.3. Technological Insights

4.4. Regulatory Framework

4.5. Porters Five Forces Analysis

4.6. Competitive Metric Space Analysis

4.7. Price trend Analysis

4.8. Covid-19 Impact Analysis

Chapter 5. Healthcare Cloud Computing Market By Application Insights & Trends, Revenue (USD Million), Volume (Kilo Tons)

Chapter 6. Healthcare Cloud Computing Market By Product type Insights & Trends Revenue (USD Million), Volume (Kilo Tons)

Chapter 7. Healthcare Cloud Computing Market Regional Outlook

Chapter 8. Competitive Landscape

Continued

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Cloud Computing Chips Market Research Methods that Will Give You Proven Results | Forecast 2021-2027 | Intel, Amazon, Google, Cambricon, Huawei,…

May 1, 2021 | Author: admin

Global Cloud Computing Chips Market Professional Survey Research

According to recently published research, the expansion of the Cloud Computing Chips industry is forecast to reach xx% p.a. in the coming years. Between 2020 to 2015

The growth of segments provided accurate estimates and forecasts for revenue by Type, and by Application, for the period 2020-2025. Our market research will assist you in expanding your company by identifying the required niche markets.

The outbreak of the COVID-19 pandemic has temporarily halted global economic growth. In addition to locking down their respective countries to contain the spread of the coronavirus, especially in affected cities, various governments around the world are also taking the required steps to contain the economic downturn, which is furthering the markets downward spiral.

The Report scope furnishes with vital statistics about the current market status and manufacturers. It analyzes the in-depth business by considering different aspects, direction for companies, and strategy in the industry. After analyzing the report and all the aspects of the new investment projects, it is assessed the overall research and closure offered. The analysis of each segment in-detailed with various point views; that include the availability of data, facts, and figures, past performance, trends, and way of approaching in the market. The Cloud Computing Chips Market report also covers the in-depth analysis of the market dynamics, price, and forecast parameters which also include the demand, profit margin, supply and cost for the industry.

The report additionally provides a pest analysis of all five along with the SWOT analysis for all companies profiled in the report. The report also consists of various company profiles and their key players; it also includes the competitive scenario, opportunities, and market of geographic regions. The regional outlook on the Cloud Computing Chips market covers areas such as Europe, Asia, China, India, North America, and the rest of the globe.

Note In order to provide more accurate market forecast, all our reports will be updated before delivery by considering the impact of COVID-19.

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Top key players@ Intel, Amazon, Google, Cambricon, Huawei, Microsoft, Baidu, AMD, NVIDIA, Xilinx, Alibaba, Unisoc, and Samsung Electronics

The main goal for the dissemination of this information is to give a descriptive analysis of how the trends could potentially affect the upcoming future of Cloud Computing Chips market during the forecast period. This markets competitive manufactures and the upcoming manufactures are studied with their detailed research. Revenue, production, price, market share of these players is mentioned with precise information.

Global Cloud Computing Chips Market: Regional Segment Analysis

This report provides pinpoint analysis for changing competitive dynamics. It offers a forward-looking perspective on different factors driving or limiting market growth. It provides a five-year forecast assessed on the basis of how they Cloud Computing Chips Market is predicted to grow. It helps in understanding the key product segments and their future and helps in making informed business decisions by having complete insights of market and by making in-depth analysis of market segments.

Key questions answered in the report include:

What will the market size and the growth rate be in 2026?

What are the key factors driving the Global Cloud Computing Chips Market?

What are the key market trends impacting the growth of the Global Cloud Computing Chips Market?

What are the challenges to market growth?

Who are the key vendors in the Global Cloud Computing Chips Market?

What are the market opportunities and threats faced by the vendors in the Global Cloud Computing Chips Market?

Trending factors influencing the market shares of the Americas, APAC, Europe, and MEA.

The report includes six parts, dealing with:

1.) Basic information;

2.) The Asia Cloud Computing Chips Market;

3.) The North American Cloud Computing Chips Market;

4.) The European Cloud Computing Chips Market;

5.) Market entry and investment feasibility;

6.) The report conclusion.

All the research report is made by using two techniques that are Primary and secondary research. There are various dynamic features of the business, like client need and feedback from the customers. Before (company name) curate any report, it has studied in-depth from all dynamic aspects such as industrial structure, application, classification, and definition.

The report focuses on some very essential points and gives a piece of full information about Revenue, production, price, and market share.

Cloud Computing Chips Market report will enlist all sections and research for each and every point without showing any indeterminate of the company.

Reasons for Buying this Report

This report provides pin-point analysis for changing competitive dynamics

It provides a forward looking perspective on different factors driving or restraining market growth

It provides a six-year forecast assessed on the basis of how the market is predicted to grow

It helps in understanding the key product segments and their future

It provides pin point analysis of changing competition dynamics and keeps you ahead of competitors

It helps in making informed business decisions by having complete insights of market and by making in-depth analysis of market segments

TABLE OF CONTENT:

1 Report Overview

2 Global Growth Trends

3 Market Share by Key Players

4 Breakdown Data by Type and Application

5 United States

6 Europe

7 China

8 Japan

9 Southeast Asia

10 India

11 Central & South America

12 International Players Profiles

13 Market Forecast 2019-2025

14 Analysts Viewpoints/Conclusions

15 Appendix

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If you have any special requirements, please let us know and we will offer you the report as you want.

About Us:

Infinity Business Insightsis a market research company that offers market and business research intelligence all around the world. We are specialized in offering the services in various industry verticals to recognize their highest-value chance, address their most analytical challenges, and alter their work.

We attain particular and niche demand of the industry while stabilize the quantum of standard with specified time and trace crucial movement at both the domestic and universal levels. The particular products and services provided by Infinity Business Insights cover vital technological, scientific and economic developments in industrial, pharmaceutical and high technology companies.

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Cloud Computing Market size & share prediction research report and forecast to 2020-2026 The Courier – The Courier

May 1, 2021 | Author: admin

The impact of the COVID-19 outbreak on Global Cloud Computing Market Analysis and Forecast 2015-2026By Facts and Factors Research

Latest COVID-19 updated report published by FNF Research (fnfresearch.com) titled global Cloud Computing market analysis and forecast 2020-2026 includes information on the industrys growth prospects, challenges, market share, and scope. The detailed overview, research objectives, market share, import-export status, market segmentation, and Cloud Computing market size estimate are all included in the study. The rivalry in the Cloud Computing market segment, market trends, business strategies and policies, and potential demand are all examined.

TheCloud Computing industry overview, product overview, market segment analysis, regional market overview, market dynamics, limitations, opportunities and industry news, and policies are just some of the topics covered in this report. Also includes the analysis of industry chain, competition landscape, historical and future data by types, applications, and regions.

The report involves an extensive study of the data available for the global Cloud Computing market during the historical period, 2015-2026, and makes a robust assessment of the market performance and trend for the base year, 2020. It is an in-depth analysis report of the market that offers vital insights on industry growth opportunities and development, drivers, challenges, and restraints for the global Cloud Computing market during the forecast period, 2020-2026.

According to the research report, Global cloud computing market was approximately USD 321 Billion in 2019 and is anticipated to reach USD 1025.9 Billion, at a CAGR of 18% by 2026. Cloud computing is an information technology service delivery model where computing resources and software tools are offered by third-party service providers through the Internet network.

Get a free exclusive sample of Cloud Computing market report@https://www.fnfresearch.com/sample/cloud-computing-market-by-service-model-infrastructure-as-1145

(Download Free Sample report to understand how COVID-19(including Pre COVID-19 and Post COVID-19) impacted on global industry.)

The Updated FREE Sample Report Includes:

Key questions answered in this report

Top Market Players Profiles Covered in This Report:

Amazon.com Inc.

Microsoft Corporation

Alphabet Inc.

Oracle Corporation

Cisco Systems Inc.

Salesforce.com Inc.

SAP SE

VMware Inc.

IBM

Rackspace Inc.

Adobe Systems Inc.

SAS Institute Inc.

Dell EMC Corp.

Inquire To Know Additional List of Market Players Included, Request Here:https://www.fnfresearch.com/inquiry/cloud-computing-market-by-service-model-infrastructure-as-1145

Key Offerings:

The market research report also offers information on potential investment opportunities, strategic growth market analysis, and probable threats that will adhere to the client to systematically and creatively plan out the business models and strategies. The critical data analysis in the Cloud Computing market report is laid out in an upright way. This means that the information is represented in form of infographics, statistics, and uncomplicated graphs to make it an effortless and time-saving task for the client.

Growth of the overall global trust and corporate service market has also been forecasted for the period 2020-2026, taking into consideration the previous growth patterns, the growth drivers, and the current and future trends.

(**The consulting and implementation services segment to account for the highest market share during the forecast period.**)

The scope of the Cloud Computing Market report has a wide spectrum extending from market scenarios to comparative pricing between major players, cost, and profit of the specified market regions. The numerical data is supported by statistical tools such as SWOT analysis, BCG matrix, SCOT analysis, and PESTLE analysis. The statistics are depicted in a graphical format for a clear picture of facts and figures.

The generated report is strongly based on primary research, interviews with top executives, news sources, and information insiders. Secondary research techniques are utilized for better understanding and clarity for data analysis.

Customize this report according to your requirements @https://www.fnfresearch.com/customization/cloud-computing-market-by-service-model-infrastructure-as-1145

COVID-19 impact on Cloud Computing market

This report provides a critical analysis of the global Cloud Computing market in respect to the COVID-19 pandemic and its adverse impact on the manufacturing and global sales of the product. It provides an extensive study on the impact of the COVID-19 pandemic on the global market and explains how it would affect the business operations of the industry in the near future. In short, the report provides systematic information regarding the changing market scenario and the flow of the global supply and consumption with respect to the ongoing pandemic. In a nutshell, this report provides in-depth information on the overall market structure of Cloud Computing and assesses the possible changes in the current as well as future competitive scenarios of the Cloud Computing market.

Regional Analysis:

The report offers an accurate representation of the geographical scope of the Global Cloud Computing Market, inclusive of graphical details of popular growth hotspots and performance of the various products and services aligning with end-user preferences and priorities.

If you have any special requirements, please let us knowsales@fnfresearch.com, and we will offer you the report as you want.

About Us:

Facts & Factorsis a leading market research company and offers customized research reports and consulting services. Facts & Factors aims at management consulting, industry chain research, and, advanced research to assist our clients by providing a planned revenue model for their business. Our report and services are used by prestigious academic institutions, start-ups, and companies globally to understand the international and regional business background.

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Cloud Computing Market size & share prediction research report and forecast to 2020-2026 The Courier - The Courier

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Hilliard to expand Think Big Space to six schools – ThisWeek Community News

May 1, 2021 | Author: admin

Hilliard City Schools Think Big Space at the districts Innovation Campus will expand at both sixth-grade buildings and four elementary schools next year.

Mark Tremayne, director of innovation and extended learning, said details still arebeing developed but the expansions will be done at Station and Tharp sixth-grade schools and at Britton, Hoffman, Norwich and Washington elementary schools.

The Think Big Space opened in August 2019 at the Innovative Learning Hub, 3859 Main St., and the Innovative Learning Center, 5323 Cemetery Road; both are part of the districts Innovation Campus.

The Think Big Space was developed as a partnership between the district and Amazon Web ServicesInCommunitiesprogram and is focused on community stewardship, said Stacie Raterman, director of communications for Hilliard schools.

Think Big combines Hilliards curriculum with Amazons cloud-computing technology to provide an environment for students to explore career awareness, business, engineering, entrepreneurship, technology and design.

kcorvo@thisweeknews.com

@ThisWeekCorvo

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SASE is coming, but adoption will be slow (especially for large enterprises) – CSO Online

May 1, 2021 | Author: admin

The adoption of edge computing and cloud infrastructure over the past decade combined with the recent surge in remote work, have seriously challenged traditional network architectures and security models. Large enterprises have been better able to adapt to this new reality, having access to larger IT budgets and skilled employees, but small and medium-sized businesses are struggling to keep up with the access control, monitoring and threat detection technologies needed to defend their local and remote assets.

In response to this trend, security vendors, as well as cloud and networking vendors, have been launching new software-defined and cloud-delivered solutions that combine network-as-a-service with network-security-as-a-service functionality. The goal of this new concept, which Gartner has dubbed secure access service edge (SASE), is to allow companies to easily provide secure access to any of their applications, whether hosted in the cloud or locally, for any user, from any device, and from any location without relying on locally deployed security appliances through which traffic would need to be routed and inspected.

According to a recent Gartner report, interest in this new model of network security, which is built around the principles of zero-trust networking, has exploded over the past year. By 2024 the analyst firm expects that 30% of enterprises will adopt cloud-delivered secure web gateway (SWG), cloud access security broker (CASB), zero trust network access (ZTNA) and branch office firewall as a service (FWaaS) capabilities from the same vendor. By 2025, over 60% of enterprises will have explicit strategies and timelines for SASE adoption encompassing user, branch, and edge access.

An important driver for the adoption of cloud-based network security services is the reduced management complexity and cost savings because IT teams will no longer have to manage different hardware boxes from different vendors to get different security capabilities. The SASE offering of one vendor is supposed to handle multiple security functions and will be managed from the same console.

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Grade II listed house with giant chess board and glorious gardens for sale in Kent – HouseBeautiful.com

May 1, 2021 | Author: admin

A Grade II listed hall house with impressive gardens, swimming pool and its very own giant chess board is for sale in Tonbridge, Kent, for 3.5 million.

Great Budds House, which is constructed of brick with a Georgian faade, is arranged over three sprawling floors. Set in the sleepy village of Shipbourne, it's perfect for anyone longing to escape to the country.

With charming period features including an Inglenook fireplace, exposed timbers and high ceilings, the house will take your breath away. Providing versatile accommodation throughout, some of the spacious rooms inside include the extensive living room, eight bedrooms, conservatory, lovely kitchen with stone walls, four bathrooms, and the welcoming dining room, too.

Some rooms are injected with cheer, while others are pared-back and more traditional (such as the floral-infused dcor in the bedrooms). What's lovely about Great Budds House is that every room is light, spacious and unique perfect for a new family to move right in.

The garden is a pocket of peace and quiet. As well as the rather impressive chess board (balmy summer nights just got an upgrade), new owners will also get to enjoy the beautiful summerhouse, swimming pool, tennis court, shrubs and flower beds, orchards, woodland walk, and a pretty Victorian style greenhouse (a well-considered shelter for rainy days).

Set in around 14 acres of gardens and grounds, it's the ideal place for all family members to recline. Whether children are exploring the expanse lawns or adults are dining alfresco, outside spaces don't get much better than this.

But that's not all: to the west of the main house is another self-contained property, known as the Oast House. Arranged over two floors and ideal for visitors, here there is a full-sized billiard room and table, swimming pool changing room facilities and shower, sauna and a round garden room.

Tempted? Great Budds House is currently on the market for 3,500,000 with Knight Frank.

Take a tour around the home...

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Designed with comfort in mind, this 3-seater garden sofa features plump cushions with water-resistant polyester fabric.

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Grade II listed house with giant chess board and glorious gardens for sale in Kent - HouseBeautiful.com

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Can we teach Artificial Intelligence to make moral judgements? – Innovation Origins

May 1, 2021 | Author: admin

A question that preoccupies me as a moral philosopher is to what extent artificial intelligence (AI) is capable of making moral judgments. To address that question, of course, we first need to know how humans arrive at moral judgments. Unfortunately, no consensus on that exists. Moral psychologist Jonathan Haidt argues that our moral reasoning is guided in the first place by our intuition. Reason is a slave of the passions, as philosopher David Hume stated in the 18th century.

Haidt presented test subjects with a taboo scenario about a brother and sister who have sex with each other one time only. The objections were addressed. The siblings use contraceptives (birth control pill and condom) and it happens with mutual consent. The majority intuitively disapproves of this scenario and then seek arguments to support that intuition. If respondents are given more time to think about it and are also provided with substantiated arguments, then they are more likely to be okay with it. A calm conversation and the provision of arguments can make people change their gut instincts and their judgments. When there is an open conversation with mutual understanding and affection, people are more willing to change their minds.

Machine learning and deep learning are opening up opportunities for AI to develop a kind of moral intuition by providing data and letting algorithms search for patterns in that data. The word intuition is not really the right one, because AI always concerns calculations. Like in the case study with AlphaGo, you could confront an algorithm with millions of scenarios. In this instance, about morality. Then have it play against them (as a form of self-play) and learn from mistakes. AI will find a pattern, for example about right and wrong, and can consequently develop a kind of intuition. It continues to be extremely important to look critically at how AI discovers patterns. After all, not every pattern is desirable, as AI could also develop preferences based on e.g. popularity.

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But a good and convincing moral judgement goes beyond intuition. It is supported by high-quality arguments. If someone judges that a specific act is wrong, that same person must be able to substantiate why that is. Complete arbitrariness is avoided this way. It also makes it possible to gauge the extent to which the judgement is susceptible to prejudice, to name one thing. So, teaching AI to use intuition is not enough. AI will also have to learn to argue. Research has been going on in the legal domain for some time now into how AI can be used to assist lawyers in evaluating legal argumentation. In this case, it is mainly about modeling legal argumentation. In the Netherlands, philosophers are researching to what extent an argumentation machine is able to recognize fallacies. However, the research is still in its infancy.

The morally right thing to do, under any circumstances, is to do whatever has the best reasons for doing it. Giving equal weight to the interests of each individual who will be affected by what people do. Quite apart from the question of whether AI will ever be able to do this, no consensus exists on those best reasons. This certainly complicates the choice of which data we should use to train AI with. The theory, and more specifically, the definition of morality that you adhere to and subsequently train AI with, will determine the outcome. In this case, moral judgment. When you connect ethics and AI, you inevitably end up being stuck with making choices that then determine the direction of that moral judgment. In short; for now, this question remains highly speculative.

About this column:

In a weekly column, alternately written byEveline van Zeeland, Eugene Franken, Helen Kardan, Katleen Gabriels, Bert Overlack, Weijma, Bernd Maier-Leppla and Colinda de Beer, Innovation Origins tries to find out what the future will look like. These columnists, occasionally supplemented by guest bloggers, are all working on solutions in their own way on the problems of our time. So that tomorrow will be goodHere are all the previous articles.

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Can we teach Artificial Intelligence to make moral judgements? - Innovation Origins

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Computing to win: Addressing the policy blind spot that threatens national AI ambitions – Atlantic Council

May 1, 2021 | Author: admin

Servers run inside the Facebook New Albany Data Center on Thursday, February 6, 2020 in New Albany, Ohio. Photo via Joshua A. Bickel/Dispatch and Reuters.

Artificial intelligence (AI) is causing significant structural changes to global competition and economic growth. AI may generate trillions of dollars in new value over the next decade, but this value will not be easily captured or evenly distributed across nations. Much of it will depend on how governments invest in the underlying computational infrastructure that makes AI possible.

Yet early signs point to a blind spota lack of understanding, measurement, and planning. It comes in the form of compute divides that throttle innovation across academia, startups, and industry. Policymakers must make AI compute a core component of their strategic planning in order to fully realize the anticipated economic windfall.

AI compute refers to a specialized stack of hardware and software optimized for AI applications or workloads. This computer can be located and accessed in different ways (public clouds, private data centers, individual workstations, etc.) and leveraged to solve complex problems across domains from astrophysics to e-commerce and to autonomous vehicles.

Conventional information technology (IT) infrastructure is now widely available as a utility through public cloud service providers. This idea of infrastructure as a service includes computing for AI, so the public cloud is duly credited with democratizing access. At the same time, it has created a state of complacency that AI compute will be there when we need it. AI, however, is not the same as IT.

Today, when nations plan for AI, they gloss over AI compute, with policies focused almost exclusively on data and algorithms. No government leader can answer three fundamental questions: How much domestic AI compute capacity do we have? How does this compare to other nations? And do we have enough capacity to support our national AI ambitions? This lack of uniform data, definitions, and benchmarks leaves government leaders (and their scientific advisors) unequipped to formulate a comprehensive plan for AI compute investments.

Recognizing this blind spot, the Organisation for Economic Cooperation and Development (OECD) recently established a new task force to tackle the issue. Theres nothing that helps our member countries assess what [AI compute] they need and what they have, and so some of them are making large but not necessarily well-informed investments in AI compute, Karine Perset, head of the OECD AI Policy Observatory, told VentureBeat in January.

Measuring domestic AI compute capacity is a complex task compounded by a paucity of good data. While there are widely accepted standards for measuring the performance of individual AI systems, they use highly technical metrics and dont apply well to nations as a whole. There is also the nagging question of capacity versus effective use. What if a nation acquires sufficient AI compute capacity but lacks the skills and ecosystem to effectively use it? In this case, more public investment may not lead to more public benefit.

Nonetheless, more than sixty national AI strategies were formulated and published from June 2017 to December 2020. These plans average sixty-five pages and coalesce around a common set of topics including transforming legacy industries, expanding opportunities for AI education, advancing public-sector AI adoption, and promoting responsible or trustworthy AI principles. Many national plans are aspirational and not detailed enough to be operational.

In conducting a survey of forty national AI plans, and analyzing the scope and depth of content around AI compute, we found that on average national AI plans had 23,202 words while sections on AI compute averaged only 269 words. Put simply, 98.8 percent of the content of national AI strategies focuses on vision, and only 1.2 percent covers the infrastructure needed to execute this vision.

This would be the equivalent of a national transportation strategy that devotes less than 2 percent of its recommendations to roads, bridges, and highways. Just like transportation investments, AI compute capacity will be a crucial driver of the future wealth of nations. And yet, national AI plans generally exclude detailed recommendations on this topic. There are exceptions, of course. France, Norway, India, and Singapore had particularly comprehensive sections on AI infrastructure, some with detailed recommendations for AI compute requirements, performance, and system size.

Exponential growth in computational power has led to astonishing improvements in AI capabilities, but it also raises questions of inequality in compute distribution. Fairness, inclusion, and ethics are now center stage in AI policy discussionsand these apply to compute, even though it is often ignored or relegated to side workshops at major conferences. Unequal access to computational power as well as the environmental cost of training computationally complex models require greater attention.

Some of the more popular AI models are large neural networks that run on state-of-the-art machines. For example, AlphaGo Zero and GPT-3 require millions of dollars in AI compute. This has led to AI research being dominated and shaped by a few actors mostly affiliated with big tech companies or elite universities. Governments may have to step up and reduce the compute divide by developing national research clouds. Initiatives in Europe and China are underway to develop indigenous high-performance computing (HPC) technologies and related computing supply chains that reduce their dependence on foreign sources and promote technology sovereignty.

Governments in the United States, Europe, China, and Japan have been making substantial investments in the exascale race, a contest to develop supercomputers capable of one billion billion (1018) calculations per second. The rationale behind investments in HPC is that the benefits are now going beyond scientific publications and prestige, as computing capabilities become a necessary instrument for scientific discovery and innovation. The machines are the engine for economic prosperity.

Understanding compute requirements is a non-trivial measurement challenge. At a micro level, it is important to scientifically understand the relative contribution of AI compute to driving AI progress on, for example, natural-language understanding, computer vision, and drug discovery. At a macro level, nations and companies need to assess compute requirements using a data-driven approach that accounts for future industrial pathways. Wouldnt it be eye-opening to benchmark how much compute power is being used at the company or national level and to help evaluate future compute needs?

In 2019, Stanford University organized a workshop with over one hundred interdisciplinary experts to better understand opportunities and challenges related to measurement in AI policy. The participants unanimously agreed that growth in computational power is leading to measurable improvements in AI capabilities, while also raising issues of the efficiency of AI models and the inherent inequality of compute distribution. Getting measurement right will be a stepping stone to addressing this blind spot in national AI policymaking. Going forward, we recommend that governments pivot to develop a national AI compute plan with detailed sections on capacity, effectiveness, and resilience.

The completeness of a national AI strategy forecasts that nations ability to compete in the digital global economy. Few national AI strategies, however, reflect a robust understanding of domestic AI compute capacity, how to use it effectively, and how to structure it in a resilient manner. Nations need to take action by measuring and planning for the computational infrastructure needed to advance their AI ambitions. The future of their economies is at stake.

Saurabh Mishra is an economist and former researcher at Stanford Universitys Institute for Human-Centered Artificial Intelligence.

Keith Strier is the chair of the AI Compute Taskforce at the Organization for Economic Cooperation and Development, and vice president for Worldwide AI Initiatives at the NVIDIA corporation.

Wed, Mar 24, 2021

Cyber conflict has not yet escalated from a fight inside cyberspace to a more traditional armed attack because of cyberspace. In part, this is because countries understand there are some tacit upper limits to escalation above which the response from the offended country will be war. Unfortunately, this happy state may not last.

New AtlanticistbyJason Healey and Robert Jervis

Tue, Mar 16, 2021

Theres a silver lining to parenting in a pandemic: Its an education in the core concepts of international relations, as well as a useful reminder that were all operating in a condition of anarchy. Heres a moms primer on deterrence, coercion, credibility, and reassurance.

New AtlanticistbyEmma Ashford, Erica Borghard

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Computing to win: Addressing the policy blind spot that threatens national AI ambitions - Atlantic Council

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Rise of cryptocurrency: How it works, where its going – RochesterFirst

May 1, 2021 | Author: admin

ROCHESTER, N.Y. (WROC) Cryptocurrencies are big business on Wall Street as valuations soar, but are they a form of currency for the masses?

CPA Garrett Wagner discussed the rise of these digital currencies Thursday during News 8 at Sunrise.

For many, Bitcoin is the most well-known cryptocurrency.

Bitcoin is a truly interesting technological creation, said Wagner. What makes it really interesting, if we go back to the beginning, no one knows who created it. Unlike Kodak we all know here in Rochester George Eastman was the founder of Kodak no one knows who created Blockchain and cryptocurrency. So its shrouded in mystery. But their goal was to take power away from the banks and let people like you and me exchange money without banks. So thats kind of how it got started take power away from the banks and create a global currency. Its just kind of gone from there in this big mess of confusion which is what were seeing today.

Wagner explained how cryptocurrency works.

Its very similar to the fundamental idea about you and I exchanging cash. Instead of having cash in U.S. currency, well have cash in Bitcoin or Ether or something else and well exchange that from one to another. Now thats not what gets most of the hype of cryptocurrency today. Most of the hype that we hear about is people investing in Blockchain, in Bitcoin, in Ether more like its a stock and they hope that if I buy $1,000 worth of Bitcoin today it will be worth $5,000 tomorrow. They dont want to actually conduct transactions with it. They hope that they just make a bunch of money and get out before it crashes back down.

Bitcoin has been around for more than 10 years, but Wagner said people outside investors have been slow to gravitate to it.

Were used to U.S. dollars. Were used to credit cards. Were used to ATM cards. Trying to get everybody to switch over to something else is a monumentally difficult task. So its been very, very, very slow to gain that adoption because no one wants to be the only person at a dinner party with 20 people who has Blockchain when everyone else has actual cash. So its been slow to make that change. Itll come at some point in the future, possibly, but for now, all of the speculation is about how can people get rich on this technology.

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