OpenStack Community Delivers Future of Bare Metal: White Paper Details Maturity and Adoption of Ironic Bare Metal as a Service – PR Web

The white paper includes case studies from users including StackHPC, SuperCloud, Red Hat, VEXXHOST and more.

AUSTIN, Texas (PRWEB) July 20, 2020

Today, the Ironic community published a white paper that highlights the scope, growth and maturity of the bare metal provisioning software. The white paper was developed by more than 26 contributors over 12 months and details all aspects of bare metal provisioning and lifecycle management via the OpenStack project. It provides information on performance, security, compliance and stack independence, as well as non-virtualizable resources associated with bare metal.

The white paper is a deep dive into the tools, clients and automation that demonstrate how the mature Ironic software delivers stable, production-proven bare metal compute instances, a popular option for deployment of container-based workloads because bare metal avoids the overhead and performance penalties common with full-featured hypervisors such as KVM.

*** Download now: Building the Future on Bare Metal: How Ironic Delivers Abstraction and Automation using Open Source Infrastructure here: https://www.openstack.org/bare-metal/how-ironic-delivers-abstraction-and-automation-using-open-source-infrastructure

Ironic Case Studies HighlightedThe white paper includes case studies from users including StackHPC, SuperCloud, Red Hat, VEXXHOST and more. Use cases highlighted in these stories include:

Julia Kreger, Ironic Project Team Lead, recalled an anecdote about hearing first-hand about the value of the Ironic software: At a conference a few years ago, I sat down to dinner next to someone I did not know. He started to tell me of his job and his long hours in the data center. He asked me what I did, and I told him I worked as a software engineer in open source. And he started talking about some tooling he recently found that took tasks that would normally take nearly two weeks for racks of servers, to just a few hours. He simply glowed with happiness because his quality of life and work happiness had exploded since finding this Bare Metal as a Service tooling called Ironic. As a contributor, this is why we contribute. To make those lives better.

The paper explores how the Open Infrastructure community has addressed the bare metal provisioning problem with entirely free open source software. It discusses the issues operators face in discovering and provisioning servers, how the OpenStack community has solved these issues with Ironic and the future of open infrastructure and hardware management, emphasizing the necessity of open source and the value of contributors continuing to build on top of strong foundations. For operators interested in deploying Ironic, they select a partner from the dozens of vendors in the Ironic Bare Metal Program.

About the OpenStack Foundation and IronicIronic is an open source project that fully manages bare metal infrastructure and is part of OpenStack. The OpenStack Foundation (OSF) supports the development and adoption of open infrastructure globally, across a community of over 100,000 individuals in 187 countries, by hosting open source projects and communities of practice, including datacenter cloud, edge computing, NFV, CI/CD and container infrastructure.

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OpenStack Community Delivers Future of Bare Metal: White Paper Details Maturity and Adoption of Ironic Bare Metal as a Service - PR Web

The Protean Progressive Free Speech Clause – Forbes

13th November 1953: Members of Supreme Court. Seated, Felix Frankfurter (far left) and William O ... [+] Douglas (far right). Standing, Robert H. Jackson (second from left). (Photo by George Tames/New York Times Co./Getty Images)

Felix Frankfurter was a man of the Left. He wrote often for The New Republic, and he helped found the ACLU. He lobbied the United States to recognize the Soviet Union during the Russian Civil War. He was the foremost proponent of a new trial for the anarchists Sacco and Vanzetti.

While Frankfurter was agitating and organizing as a professor at Harvard Law School in the 1910s and 20s, the Supreme Court was striking down state licensing requirements, consumer-protection rules, and wage-and-hour laws. Like many on the Left of that day, therefore, Frankfurter believed in judicial restraint. Justice Louis Brandeis captured the contemporary progressive attitude in a 1932 dissent. It is one of the happy incidents of the federal system, he wrote, that a single courageous state may, if its citizens choose, serve as a laboratory and try novel social and economic experiments without risk to the rest of the country.

Brandeiss great ally on the court was Justice Oliver Wendell Holmes, Jr. It was not progressive principle that made Holmes a restrained judge; it was a bullet in the neck in the Civil War. What damned fools people are who believe things, he once told the socialist professor Harold Laski. Although he said it of a pacifist in a case before the court, the line captures how he saw most things, including judging. Oddly enough, the idealistic Frankfurter worshiped the cynical Holmes. A justice willing to uphold social legislation he thought pointless, even ridiculous, was in Frankfurters eyes the pattern of a sound judge. This might explain why Frankfurters own judicial principles would remain fixed as times changed.

And change they did. Frankfurter became a justice in 1939. The next year, on behalf of an 8-1 majority of the court, he declared that the First Amendment has nothing to say about the expulsion from school of Jehovahs Witnesses who refuse to pledge allegiance to the flag of the United States. Local governments must, Frankfurter thought, have the authority to safeguard the nations fellowship. Just three years later, however, in West Virginia State Board of Education v. Barnette (1943), the court voted 6-to-3 to overturn Frankfurters opinion. If there is any fixed star in our constitutional constellation, Justice Robert Jackson wrote for the majority, it is that no official, high or petty, can prescribe what shall be orthodox in politics, nationalism, religion, or other matters of opinion or force citizens to confess by word or act their faith therein.

Now in dissent, Frankfurter fumed about judges who write their private notions of policy into the Constitution. It must be remembered, he wrote, quoting Holmes, that legislatures are ultimate guardians of the liberties and welfare of the people in quite as great a degree as the courts. True, but not a very compelling point in a case about forcing schoolchildren to swear an oath against their (and their parents) will.

Shortly after the First World War, in fact, Holmes had started to take a more expansive view of the Free Speech Clause. When men have realized that time has upset many fighting faiths, he explained in dissent in Abrams v. United States (1919), they may come to believe even more than they believe the very foundations of their own conduct that the ultimate good desired is better reached by free trade in ideas. When it came to free speech, Holmes could use his old philosophical skepticism to justify a new judicial assertiveness. His pivot was driven in part by distress at the persecution Frankfurter and Laski suffered at Harvard for their radical views. Yet Frankfurter himself remained in awe of the Holmes who told Laski, just a year after Abrams, that if the people want to go to hell, a judges job is to help them along.

Frankfurter clashed often with a group of justices, led by William Brennan and William Douglas, who placed little stock in text, precedent, or history. This activist wing became increasingly dominant. Frankfurters hour was pastor, rather, had never come. When Brennan, writing for the court in Baker v. Carr (1962), overturned a raft of precedents on the way to declaring that legislative redistricting decisions can be challenged in court, Frankfurter issued a long and bitter dissent, suffered a stroke, and retired.

Frankfurter complained that the courts hard left produced opinions that were shoddy and result-oriented. He might have added anarchic. In 1968 a man wore a jacket emblazoned with the words F*** the Draft in a courthouse. He was arrested and prosecuted for disturbing the peace ... by offensive conduct. In his final months on the court, John Marshall Harlan wrote the decision in the mans appeal. An heir, in many ways, of Holmes, Brandeis, and Frankfurter, Harlan set a trend for many later conservative justices by evolving on the bench. His opinion in Cohen v. California (1971) declared the protester's conviction inconsistent with the First Amendment.

Because the offensive-conduct statute applied throughout the state, the defendant, Harlan concluded, was not on notice that certain kinds of otherwise permissible speech or conduct would ... not be tolerated in certain places. Harlan dodged the key questionwhat counts as offensive conduct in a courthouseby denying that the law can turn on context or matters of degree. Having thus oversimplified the case (and infantilized every citizen), he was free to ask simply whether a state may ban the use of expletives in public. At that point he could at least have knocked down his straw man with a straightforward no. Instead Harlan offered a paean to vulgar relativism, a tract now remembered mainly for the assertion that one mans vulgarity is anothers lyric. As Robert Bork noted in The Tempting of America, that statement is a challenge to all laws on all subjects. After all, one mans larceny is anothers just distribution of goods.

Does Cohen remain a totem of left-wing free-speech jurisprudence? The courts progressives seem to have reversed gear. Take the courts decision earlier this month in Barr v. American Association of Political Consultants Inc. The Telephone Consumer Protection Act bans almost all robocalls to cell phones. The Act contains an exception for robocalls that seek to collect a debt owed to the federal government. At issue in Barr was whether this carveout violates the First Amendment. While acknowledging that robocalls are widely despised, the court concluded, by a vote of 6-to-3, that the government nonetheless may not engage in content-based discrimination, baselessly favoring some robocalls over others.

Writing for himself and Justices Ginsburg and Kagan, Justice Breyer argued in dissent that robocalls are not vital to core First Amendment objectives, such as protecting peoples ability to speak or to transmit their views to government. Congress, in Breyers view, should have greater leeway to impose ordinary regulatory programs that pose little threat to the exchange of thought. Maybe sobut this is not the outlook on display in Cohen. Say the government prohibits writing political statements on tax returns. According to the Barr dissent, it is hard to imagine that such a rule would threaten political speech in the marketplace of ideas. Dont count on the wing of the court that let a man say F*** the Draft in a courthouse in 1968 to let you say F*** Taxes on a tax form today.

Why has the courts left wing lost its enthusiasm for free-speech absolutism? One factor is the emergence on the court of a right wing that upholds the free-speech rights of corporations. No longer the only ones patrolling constitutional boundaries, the progressives are more careful about loose rights talk.

Another factor might soon come to the fore. If the Left conquers American culture, sheds liberal values, and becomes a force for conformity, will the progressive justices shift in turn? In the case of a child expelled from school for refusing to acknowledge, and renounce, her privilege, would they chastise the wielders of power and discuss the fixed star in our constitutional constellation? Or would they gain a new understanding of Justice Frankfurters belief in the value of making parents accept the training of [their] children in good citizenship? In the appeal of a man charged with offensive conduct for wearing, amid a hostile crowd, a jacket maligning political correctness, would they use Cohen to lecture the easily offended about simply avert[ing] their eyes to avoid further bombardment of their sensitivities? Or might they suddenly see wisdom in the Cohen dissenters claim that absurd and immature antic[s] are conduct rather than speech?

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The Protean Progressive Free Speech Clause - Forbes

People are using artificial intelligence to help sort out their divorce. Would you? – The Conversation AU

An online app called Amica is now using artificial intelligence to help separating couples make parenting arrangements and divide their assets.

For many people, the coronavirus pandemic has put even the strongest of relationships to the test. A May survey conducted by Relationships Australia found 42% of 739 respondents experienced a negative change in their relationship with their partner under lockdown restrictions.

There has also been a surge in the number of couples seeking separation advice. The Australian government has backed the use of Amica for those in such circumstances. The chatbot uses artificial intelligence (AI) to make suggestions for how splitting couples can divide their money and property based on their circumstances.

But although such tools offer advantages such as convenience and reduced emotional distress, their applications remain limited. And over-relying on them could be a slippery slope.

Read more: Coronavirus: how the pandemic has exposed AIs limitations

According to Amicas website, it considers legal principles and applies them to your circumstances. In other words, the software draws on mass data (collected and embedded by its designers) from similar past cases to make suggestions to users.

Amica demonstrates AIs potential in solving legal problems in family disputes. Interestingly, its not the only tool of this kind in the legal field. There are a range of AI-powered family legal services used in Australia, including Penda and Adieu.

Penda aims to help victims of family violence by providing free legal and safety information. Its AI chatbot provides online legal advice and information without requiring a face-to-face meeting with a lawyer.

Adieu enables couples to achieve amicable financial and parenting agreements via its AI chatbot component Lumi, which can refer couples to mediators, counsellors, lawyers or financial advisers if required. Lumi also has a one-click disclosure tool designed to save time and money by using AI to analyse the financial records of both users.

Australias family law system is overburdened, resulting in long delays for families in the court system. Court proceedings are also expensive, and complex family law cases can cost each party more than A$200,000.

AI tools such as Amica and Adieu enable couples to resolve problems themselves and avoid the slow and expensive court process. This is especially true for couples who have commenced or are considering the separation process now, amid coronavirus restrictions.

Our evaluation of Adieu involved reviewing literature on justice apps and interviewing professionals including mediators, lawyers and financial advisers. We also surveyed 37 Adieu users to find out who would use such an app and how comfortable people were with them.

We found by giving couples dominion over the separation process, they were less likely to be emotionally stressed. Although our survey sample was relatively small, 76% of participants reported not feeling emotional distress. Of those who did, most said this was the result of existing circumstances.

One participant said:

Im pretty new to apps but am learning. Theyre not so bad, but dont really replace people. On the plus side, theyre neutral and dont judge you!

Despite a number of advantages, AI tools for settling legal disputes (much like many other AI tools) come with setbacks.

For instance, theyre not helpful in many cases. Amicas designers highlight the platform is only suitable for amicable separating couples with no complex situations involved, such as family violence. This is because at its current development level, AI-powered chatbots can only generate a relatively simple response from the information theyre given.

According to a 2016 survey by the Australian Bureau of Statistics, around 5.8 million Australians had experienced physical or emotional abuse from a partner.

Read more: Does your AI discriminate?

Further, Australian courts are required to consider each childs best interests when deciding on a family case. There are legitimate concerns that parenting and financial suggestions from AI-powered tools may ignore the needs of children, and only reflect the interests of parents.

There are also concerns around the use of AI in legal family cases more generally. For example, access to online platforms requires a certain amount of digital literacy and accessibility.

This disadvantages people without access to the internet, a smartphone or computer. Also, people may not have the technological skills needed to use apps such as Amica or Adieu.

Apart from family disputes, AI has also been controversially used in criminal cases for sentencing purpose. The COMPAS tool has come under fire on numerous occasions for its use in the US. Its risk assessment algorithms supposedly predict how likely a criminal is to reoffend.

Australias robodebt saga also showed how AI can contribute to problematic administrative decision making. In that debacle, welfare payments made on the basis of self-reported fortnightly income were cross-referenced against an estimated income, taken as an average of annual earnings reported to the Australian Tax Office. This was then used to auto-generate debt notices without human checks.

Read more: From robodebt to racism: what can go wrong when governments let algorithms make the decisions

Its clear AI comes with the potential for embedded bias. As the use of AI-powered technology continues for matters traditionally handled in the courts, a government strategy such as the European Commissions AI White Paper is needed to address the general challenges.

Along with this, an ethical framework with input from Australias legal industry should underpin AI use in the legal sector.

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People are using artificial intelligence to help sort out their divorce. Would you? - The Conversation AU

Artificial intelligence will have big role in ag’s future, scientists say – Capital Press

The use of artificial intelligence in agriculture is expected to surge as interest increases and technology develops, researchers say.

"It is already very prevalent in your Facebook feed, Google search and in self-driving vehicles," said Seth Murray, a Texas A&M University professor and corn breeder.

Artificial intelligence refers to a computer's ability to "learn" through its experiences and solve problems on its own.

The university recently sponsored a webinar onartificial intelligence uses in agriculture. The webinar was not targeted for farmers because no product is yet available, Murray said.

"I know the farmers I serve get really frustrated when I show them something and say they cant buy it," he said. "They should be aware the public agricultural research community is looking for opportunities to help them and this is a new tool like Google and smartphones recently and hybrid crops and the combine were before."

The biggest need isbetter decision making in agriculture and the food system, especially as all sectors become more consolidated and concentrated, Murray said.

Ian Stavness, an associate professor at the University of Saskatchewan, believes both computer science and agriculture can overcome the language challenges both are fairly "jargon heavy" with training and collaboration.

"Computer science specialist graduate students are definitely experts in machine learning and image analysis, but they have enough background to be able to talk sensibly with food scientists," he said. "Likewise, plant scientists know how to talk to computer scientists."

Artificial intelligenceadoption is expected to grow 65% each year through 2024, saidClaire Zoellner, a food safety scientist at iFoodDecisionSciences Inc., a software company in Ithaca, N.Y., that partners with produce companies and associations.

Zoellner showed examples of artificial intelligence for customer service and labor already in the food industry, such as ordering food with apps, Amazon Go stores with cashierless checkout and the use of robotics for distribution, processing and food preparation.

Augmented reality, in which people are put in realistic computerized scenarios, can also be used in employee training.

"Not only are all these reducing labor costs, they're providing these companies with more data about their customers," Zoellner said. "This is mainly used in marketing, getting out that food quicker, personalized marketing."

Opportunities include robotic monitoring of temperatures, preventing food-borne illnesses, or further reducing the risk of microbial contamination and improving response when notifying customers.

"We don't really expect these tools to do food safety tasks for us, but give us new insights and information so we can manage these risks sooner and more effectively," she said.

Kevin Nowka, computer engineering professor at Texas A&M, said agriculture and food systems should be attractive to the artificial intelligence community.

Social good is a core value for artificial intelligence, he said.

"Ag is as socially good as it gets," he said, pointing to efforts to eliminate hunger, poverty and bias and improve nutrition, health, the environment and sustainability.

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Artificial intelligence will have big role in ag's future, scientists say - Capital Press

Artificial Intelligence in Manufacturing Market Worth $16.7 Billion by 2026 – Exclusive Report by MarketsandMarkets – Yahoo Finance

CHICAGO, July 21, 2020 /PRNewswire/ -- According to the new market research report "Artificial Intelligence in Manufacturing Marketby Offering (Hardware, Software, and Services), Technology (Machine Learning, Computer Vision, Context-Aware Computing, and NLP), Application, End-user Industry and Region - Global Forecast to 2026", published by MarketsandMarkets, the Artificial Intelligence in Manufacturing Marketis expected to be valued at USD 1.1 billion in 2020 and is likely to reach USD 16.7 billion by 2026; it is expected to grow at a CAGR of 57.2% during the forecast period. The major drivers for the market are the increasing number of large and complex datasets (often known as big data), evolving Industrial IoT and automation, improving computing power, and increasing venture capital investments.

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The hardware segment in the AI in manufacturing market projected to grow at highest CAGR during forecast period

The hardware segment is projected to grow at the highest CAGR from 2020 to 2026. Most of the AI hardware manufacturers have been in the business of providing the same hardware components for other technologies such as connected cars, machine vision cameras, and IoT for a long time. This will enable the companies to transfer the technology easily and accordingly develop the AI hardware. Moreover, the increasing participation of startups in AI hardware is complementing the growth of the hardware segment.

Quality control application of AI in manufacturing market to grow at highest CAGR during forecast period

The quality control application is expected to register the highest CAGR during the forecast period. Governments impose regulations on maintaining the quality according to certain benchmarks; for instance, the USD Food and Drug Administration (FDA) imposes stringent guidelines to regulate the quality of pharmaceutical products in accordance with the Current Good Manufacturing Practices (CGMPs). The growing use of robotics and deep learning technology in the manufacturing industry is expected to drive the growth of the AI in manufacturing market for the quality control application

Browsein-depth TOC on"Artificial Intelligence in Manufacturing Market"

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AI in manufacturing market in APAC projected to grow at highest CAGR from 2020 to 2026

The AI in manufacturing market in APAC is expected to grow at the highest CAGR during 20202026. The presence of a large number of industries, especially in countries such as China, India, and Taiwan is resulting in the adoption of AI in the manufacturing sector in APAC. The increasing adoption of AI-based robots is also fueling the market's growth in this region.

NVIDIA Corporation (US), IBM Corporation (US), Alphabet Inc. (Google) (US), Microsoft Corporation (US), Intel Corporation (US), Siemens AG (Germany), General Electric Company (US), General Vision Inc. (US), Progress Software Corporation (US), Micron Technology Inc., (US), Mitsubishi Electric Corporation (Japan), Sight Machine (US), Cisco Systems Inc., (US), and SAP SE (Germany) are the prominent players of AI in manufacturing market.

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Artificial Intelligence in Manufacturing Market Worth $16.7 Billion by 2026 - Exclusive Report by MarketsandMarkets - Yahoo Finance

Artificial Intelligence in Construction Market: 2020 Global Industry Trends, Growth, Share, Size and 2027 Forecast Research Report – Cole of Duty

Artificial Intelligence in Construction Market report explores a 360 degree holistic view of historical market, Covid 19 impact on the key players share, growth factors, trends, vendors profiles, regional demand, product type, applications and the actual process of whole Artificial Intelligence in Construction industry. In addition, the report also provides profiles of major companies along with detailed SWOT analysis, financial facts and key developments of products/service from the past three years.

Get Sample Copy of this Report @https://www.theinsightpartners.com/sample/TIPRE00002958/

Note The Covid-19 (coronavirus) pandemic is impacting society and the overall economy across the world. The impact of this pandemic is growing day by day as well as affecting the supply chain. The COVID-19 crisis is creating uncertainty in the stock market, massive slowing of supply chain, falling business confidence, and increasing panic among the customer segments. The overall effect of the pandemic is impacting the production process of several industries. This report on Artificial Intelligence in Construction Market provides the analysis on impact on Covid-19 on various business segments and country markets. The reports also showcase market trends and forecast to 2027, factoring the impact of Covid -19 Situation.

Our Sample Report Accommodate a Brief Introduction of the research report, TOC, List of Tables and Figures, Competitive Landscape and Geographic Segmentation, Innovation and Future Developments Based on Research Methodology

The reports cover key developments in the Artificial Intelligence in Construction Market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the market were acquisitions, and partnership & collaborations. These activities have paved way for the expansion of business and customer base of market players.

Top Players Analysis:Autodesk, Inc., BuildingSP, Inc., Doxel Inc., IBM Corporation, Intel Corporation, NEMETSCHEK SE, NVIDIA Corporation, Salesforce.com Inc., SAP SE, and Smartvid.io, Inc. among others.

The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global UAV market based on applications, offerings, platform and architecture. It also provides market size and forecast till 2027 for overall UAV market with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America (SAM). The market by each region is later sub-segmented by respective countries and segments. The report covers analysis and forecast of 16 countries globally along with current trend and opportunities prevailing in the region.

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Table of content:

1 Introduction

2 Key Takeaways

3 Artificial Intelligence in Construction Market Landscape

4 Artificial Intelligence in Construction Market Key Industry Dynamics

5 Artificial Intelligence in Construction Market Analysis Global

6 Artificial Intelligence in Construction Market Revenue and Forecasts to 2027 Component

7 Artificial Intelligence in Construction Market Revenue and Forecasts to 2027 Services Model

8 Artificial Intelligence in Construction Market Revenue and Forecasts to 2027 Deployment Model

9 Artificial Intelligence in Construction Market Revenue and Forecasts to 2027 Vertical

10 Artificial Intelligence in Construction Market Revenue and Forecasts to 2027 Geographical Analysis

11 Industry Landscape

12 Competitive Landscape

13 Artificial Intelligence in Construction Market, Key Company Profiles

14 Appendix

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Artificial Intelligence in Construction Market: 2020 Global Industry Trends, Growth, Share, Size and 2027 Forecast Research Report - Cole of Duty

Encryption Software Market Analysis 2020: by Players, Countries, Type, Application and Forecasts to 2025 – Cole of Duty

Global Encryption Software Market (COVID-19 Impact) Size, Status and Forecast 2020-2026

The Global Encryption Software 2020 Market Research Report is a professional and in-depth study on the current state of Encryption Software Market. This report studies the Encryption Software market with many aspects of the industry like the market size, market status, market trends and forecast, the report also provides brief information of the competitors and the specific growth opportunities with key market drivers. Find the complete Encryption Software market analysis segmented by companies, region, type and applications in the report.

Leading Companies Reviewed in the Report are:

IBM (US), Microsoft (US), Symantec (US), Thales e-Security (France), Trend Micro (Japan), Sophos (UK), Check Point (Israel), Micro Focus (UK), McAfee (US), Dell (US), WinMagic (US), ESET (US), Cryptomathic (Denmark), Bitdefender (Romania), Stormshield (France), and CipherCloud (US).

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New vendors in the market are facing tough competition from established international vendors as they struggle with technological innovations, reliability and quality issues. The report will answer questions about the current market developments and the scope of competition, opportunity cost and more.

The report discusses the various types of solutions for Encryption Software Market. While the regions considered in the scope of the report include North America, Europe, and various others. The study also emphasizes on how rising digital security threats is changing the market scenario. Development policies and plans are discussed as well as manufacturing processes and cost structures are also analyzed. This report also states import/export consumption, supply and demand Figures, cost, price, revenue and gross margins.

The Encryption Software market is a comprehensive report which offers a meticulous overview of the market share, size, trends, demand, product analysis, application analysis, regional outlook, competitive strategies, forecasts, and strategies impacting the Encryption Software Industry. The report includes a detailed analysis of the market competitive landscape, with the help of detailed business profiles, SWOT analysis, project feasibility analysis, and several other details about the key companies operating in the market.

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Based on application, the Market has been segmented into:

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The Encryption Software market research report completely covers the vital statistics of the capacity, production, value, cost/profit, supply/demand import/export, further divided by company and country, and by application/type for best possible updated data representation in the figures, tables, pie chart, and graphs. These data representations provide predictive data regarding the future estimations for convincing market growth. The detailed and comprehensive knowledge about our publishers makes us out of the box in case of market analysis.

The study objectives of this report are:To study and analyze the global Encryption Software consumption (value & volume) by key regions/countries, type and application, history data from 2015 to 2019, and forecast to 2025.To understand the structure of Encryption Software market by identifying its various subsegments.Focuses on the key global Encryption Software manufacturers, to define, describe and analyze the sales volume, value, market share, market competition landscape, SWOT analysis and development plans in next few years.To analyze the Encryption Software with respect to individual growth trends, future prospects, and their contribution to the total market.To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).To project the consumption of Encryption Software submarkets, with respect to key regions (along with their respective key countries).To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.To strategically profile the key players and comprehensively analyze their growth strategies.

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Encryption Software Market Analysis 2020: by Players, Countries, Type, Application and Forecasts to 2025 - Cole of Duty

Global Encryption Software Market Report COVID-19 Outbreak Global Industry Development Trends, Threats, Opportunities and Competitive Landscape in…

The New Report Titled as Encryption Software Market published by ReportsPedia, covers the market landscape and its evolution predictions during the forecast period. The report objectives to provide an overview of global Encryption Software Market with detailed market segmentation by solution, security type, application and geography. The Encryption Software Market is anticipated to eyewitness high growth during the forecast period. The report delivers key statistics on the market status of the leading market players and deals key trends and opportunities in the market.

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This research report also includes profiles of major companies operating in the global market. Some of the prominent players operating in the Global Encryption Software Market are:

East-TecHewlett PackardEntrustIBMInterCryptoBloombaseCiscoSymantecCheck Point Software TechnologieTrend Micro

The Encryption Software Market for the regions covers North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Regional breakdown has been done based on the current and forthcoming trends in the global Encryption Software Market along with the discrete application segment across all the projecting region.

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The Type Coverage in the Market are:

Symmetric EncryptionAsymmetric EncryptionHashing

Market Segment by Applications, covers:

Whole DiskSingle-user File/folder LevelMulti-user File/folder LevelDatabaseApplication LevelEmail MessagesNetwork Traffic

Some Major TOC Points:

Chapter 1. Encryption Software Market Report Overview

Chapter 2. Global Encryption Software Market Growth Trends

Chapter 3. Market Share by Key Players

Chapter 4. Encryption Software Market Breakdown Data by Type and Application

Chapter 5. Market by End Users/Application

Chapter 6. COVID-19 Outbreak: Encryption Software Industry Impact

Chapter 7. Opportunity Analysis in Covid-19 Crisis

Chapter 9. Market Driving Force

Continue for TOC

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Key questions Answered in this Encryption Software Market Report:

What will be the Encryption Software Market growth rate and value in 2020?

What are the key market predictions?

What is the major factors of driving this sector?

What are the situations to market growth?

Major factors covered in the report:

Global Encryption Software Market summary

Economic Impact on the Industry

Encryption Software Market Competition in terms of Manufacturers

Encryption Software Market Analysis by Application

Marketing Strategy comprehension, Distributors and Traders

Study on Market Research Factors

Table of Content & Report Detail @ https://www.reportspedia.com/report/consumer-goods-and-services/2015-2027-global-encryption-software-industry-market-research-report,-segment-by-player,-type,-application,-marketing-channel,-and-region/59961#table_of_contents

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Global Encryption Software Market Report COVID-19 Outbreak Global Industry Development Trends, Threats, Opportunities and Competitive Landscape in...

HIMSS, Welcomes Zettaset as its Newest Member to Offer Education – AiThority

Zettaset to Provide Members with Key Insights and Best Practices Designed to Adequately Secure Personal Health Information

Zettaset, a leading provider of software-defined encryption solutions, announced it has joined the Healthcare Information and Management Systems Society (HIMSS) as a Corporate Member to offer data security expertise to the organizations 80,000 individuals, 480 provider organizations, 470 non-profit partners and 650 health services organizations. As a member, Zettaset will bring unparalleled education on the benefits of data encryption to entire the HIMSS network and help educate members on the importance of proper data security as the last line of defense for healthcare organizations of all sizes.

Researchshowsthat healthcare organizations continue to suffer the highest costs associated with data breaches $6.45 million on average more than any other cross-industry average. As health organizations struggle with protecting the personal information of patients, cybercriminals remain steadfast on identifying new attack vectors. And while many healthcare entities have reacted to this reality by investing in additional cybersecurity measures, most organizations still lack the proper technology that can adequately address protection needs.

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The healthcare industry will continue to increase their digital transformation investments with the goal of creating new and innovative ways to provide better and safer patient care. But as a result, these digital initiatives have expanded the threat surface, said Tim Reilly, CEO of Zettaset. Whether its protecting legacy infrastructure or deploring new DevOps initiatives, healthcare organizations have to take every precaution necessary when protecting patient data and encryption is essential. Were excited to partner with HIMSS in this first step towards global health education on why data encryption should no longer be viewed as a check-the-box compliance step, but rather a mandatory investment towards safeguarding patients.

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Zettaset and HIMSS will be co-hosting a webinar, Breach. Theft. Disaster: Protecting the Digital Transformation from Itself in Healthcare, on Monday, July 27, 2020. The webinar will offer an in-depth look into encryption for healthcare entities and how it provides the last line of defense in protecting an organizations data.

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HIMSS, Welcomes Zettaset as its Newest Member to Offer Education - AiThority

First Amendment | Contents & Supreme Court Interpretations …

First Amendment, amendment (1791) to the Constitution of the United States that is part of the Bill of Rights and reads,

Congress shall make no law respecting an establishment of religion, or prohibiting the free exercise thereof; or abridging the freedom of speech, or of the press; or the right of the people peaceably to assemble, and to petition the Government for a redress of grievances.

The clauses of the amendment are often called the establishment clause, the free exercise clause, the free speech clause, the free press clause, the assembly clause, and the petition clause.

The First Amendment, like the rest of the Bill of Rights, originally restricted only what the federal government may do and did not bind the states. Most state constitutions had their own bills of rights, and those generally included provisions similar to those found in the First Amendment. But the state provisions could be enforced only by state courts.

In 1868, however, the Fourteenth Amendment was added to the U.S. Constitution, and it prohibited states from denying people liberty without due process. Since then the U.S. Supreme Court has gradually used the due process clause to apply most of the Bill of Rights to state governments. In particular, from the 1920s to the 40s the Supreme Court applied all the clauses of the First Amendment to the states. Thus, the First Amendment now covers actions by federal, state, and local governments. The First Amendment also applies to all branches of government, including legislatures, courts, juries, and executive officials and agencies. This includes public employers, public university systems, and public school systems.

The First Amendment, however, applies only to restrictions imposed by the government, since the First and Fourteenth amendments refer only to government action. As a result, if a private employer fires an employee because of the employees speech, there is no First Amendment violation. There is likewise no violation if a private university expels a student for what the student said, if a commercial landlord restricts what bumper stickers are sold on the property it owns, or if an Internet service provider refuses to host certain Web sites.

Legislatures sometimes enact laws that protect speakers or religious observers from retaliation by private organizations. For example, Title VII of the federal Civil Rights Act of 1964 bans religious discrimination even by private employers. Similarly, laws in some states prohibit employers from firing employees for off-duty political activity. But such prohibitions are imposed by legislative choice rather than by the First Amendment.

The freedoms of speech, of the press, of assembly, and to petitiondiscussed here together as freedom of expressionbroadly protect expression from governmental restrictions. Thus, for instance, the government may not outlaw antiwar speech, speech praising violence, racist speech, pro-communist speech, and the like. Nor may the government impose special taxes on speech on certain topics or limit demonstrations that express certain views. The government also may not authorize civil lawsuits based on peoples speech, unless the speech falls within a traditionally recognized First Amendment exception. This is why, for example, people may not sue for emotional distress inflicted by offensive magazine articles about them, unless the articles are not just offensive but include false statements that fall within the defamation exception (see below Permissible restrictions on expression).

The free expression guarantees are not limited to political speech. They also cover speech about science, religion, morality, and social issues as well as art and even personal gossip.

Freedom of the press confirms that the government may not restrict mass communication. It does not, however, give media businesses any additional constitutional rights beyond what nonprofessional speakers have.

Freedom of petition protects the right to communicate with government officials. This includes lobbying government officials and petitioning the courts by filing lawsuits, unless the court concludes that the lawsuit clearly lacks any legal basis.

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