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Chelsea Manning Released After 7 Years in Military Prison …

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CULTURE

7:22 AM PDT 5/17/2017bythe Associated Press

Pvt. ChelseaManning, the transgender soldier convicted of giving classified government materials to WikiLeaks, was released from a Kansas military prison early Wednesday after serving seven years of her 35-year sentence.

U.S. Army spokeswoman Cynthia Smith told the Associated Press that Manning was released from Fort Leavenworth military prison, but that she couldn't provide any further details. Manning tweeted after she was granted clemency that she planned to move to Maryland. The Crescent, Okla., native has an aunt who lives there.

Manning, who was known as Bradley Manning before transitioning in prison, was convicted in 2013 of 20 counts, including six Espionage Act violations, theft and computer fraud. She was acquitted of the most serious charge of aiding the enemy. President Barack Obama granted Manning clemency in his final days in office in January.

Her release comes as news broke Wednesday that a new documentary about the famed whistle-blower is in the works. XY Chelsea is being directed by British filmmaker Tim Travers Hawkins (1000 Voices) and executive produced by Oscar-winner Laura Poitras (Citizenfour, Risk), with the filmmakers having exclusive rights to Manning's story and having had unprecedented access to her team for two years as they fought for her release.

Manning, a former intelligence analyst in Iraq, has acknowledged leaking the materials, which included battlefield video. She said she wanted to expose what she considered to be the U.S. military's disregard for the effects of war on civilians and that she released information she didn't believe would harm the U.S.

Critics said the leaks laid bare some of the nation's most-sensitive secrets and endangered information sources, prompting the State Department to help some of those people move to protect their safety. Several ambassadors were recalled, expelled or reassigned because of embarrassing disclosures.

Manning, who was arrested in 2010, filed a transgender rights lawsuit in prison and attempted suicide twice last year, according to her lawyers.

Obama's decision to commute Manning's sentence to about seven years, including the time she spent locked up before being convicted, drew strong criticism from members of Congress and others, with Republican House Speaker Paul Ryan calling the move "just outrageous."

In a statement last week her first public comments since Obama intervened Manning thanked the former president and said that letters of support from veterans and fellow transgender people inspired her "to work toward making life better for others."

"For the first time, I can see a future for myself as Chelsea," she said. "I can imagine surviving and living as the person who I am and can finally be in the outside world. Freedom used to be something that I dreamed of but never allowed myself to fully imagine."

Her attorneys have said Manning was subjected to violence in prison and argued the military mistreated her by requiring her to serve her sentence in an all-male prison, restricting her physical and mental health care and not allowing her to keep a feminine haircut.

The Department of Defense has repeatedly declined to discuss Manning's treatment in prison.

The Army said Tuesday that Manning would remain on active duty in a special, unpaid status that will legally entitle her to military medical care, along with commissary privileges. An Army spokeswoman, Lt. Col. Jennifer Johnson, said Manning will be on "excess leave" while her court-martial conviction is under appellate review.

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Opinion: Artificial intelligence is the hope 2020 needs – Crain’s Cleveland Business

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This year is likely to be remembered for the COVID-19 pandemic and for a significant presidential election, but there is a new contender for the most spectacularly newsworthy happening of 2020: the unveiling of GPT-3. As a very rough description, think of GPT-3 as giving computers a facility with words that they have had with numbers for a long time, and with images since about 2012.

The core of GPT-3, which is a creation of OpenAI, an artificial intelligence company based in San Francisco, is a general language model designed to perform autofill. It is trained on uncategorized internet writings, and basically guesses what text ought to come next from any starting point. That may sound unglamorous, but a language model built for guessing with 175 billion parameters 10 times more than previous competitors is surprisingly powerful.

The eventual uses of GPT-3 are hard to predict, but it is easy to see the potential. GPT-3 can converse at a conceptual level, translate language, answer email, perform (some) programming tasks, help with medical diagnoses and, perhaps someday, serve as a therapist. It can write poetry, dialogue and stories with a surprising degree of sophistication, and it is generally good at common sense a typical failing for many automated response systems. You can even ask it questions about God.

Imagine a Siri-like, voice-activated assistant that actually did your intended bidding. It also has the potential to outperform Google for many search queries, which could give rise to a highly profitable company.

GPT-3 does not try to pass the Turing Test by being indistinguishable from a human in its responses. Rather, it is built for generality and depth, even though that means it will serve up bad answers to many queries, at least in its current state. As a general philosophical principle, it accepts that being weird sometimes is a necessary part of being smart. In any case, like so many other technologies, GPT-3 has the potential to rapidly improve.

It is not difficult to imagine a wide variety of GPT-3 spinoffs, or companies built around auxiliary services, or industry task forces to improve the less accurate aspects of GPT-3. Unlike some innovations, it could conceivably generate an entire ecosystem.

There is a notable buzz about GPT-3 in the tech community. One user in the U.K. tweeted: "I just got access to gpt-3 and I can't stop smiling, i am so excited." Venture capitalist Paul Graham noted coyly: "Hackers are fascinated by GPT-3. To everyone else it seems a toy. Pattern seem familiar to anyone?" Venture capitalist and AI expert Daniel Gross referred to GPT-3 as "a landmark moment in the field of AI."

I am not a tech person, so there is plenty about GPT-3 I do not understand. Still, reading even a bit about it fills me with thoughts of the many possible uses.

It is noteworthy that GPT-3 came from OpenAI rather than from one of the more dominant tech companies, such as Alphabet/Google, Facebook or Amazon. It is sometimes suggested that the very largest companies have too much market power but in this case, a relatively young and less capitalized upstart is leading the way. (OpenAI was founded only in late 2015 and is run by Sam Altman).

GPT-3 is also a sign of the underlying health and dynamism of the Bay Area tech world, and thus of the U.S. economy. The innovation came to the U.S. before China and reflects the power of decentralized institutions.

Like all innovations, GPT-3 involves some dangers. For instance, if prompted by descriptive ethnic or racial words, it can come up with unappetizing responses. One can also imagine that a more advanced version of GPT-3 would be a powerful surveillance engine for written text and transcribed conversations. Furthermore, it is not an obvious plus if you can train your software to impersonate you over email. Imagine a world where you never know who you are really talking to "Is this a verified email conversation?" Still, the hope is that protective mechanisms can at least limit some of these problems.

We have not quite entered the era where "Skynet goes live," to cite the famous movie phrase about an AI taking over (and destroying) the world. But artificial intelligence does seem to have taken a major leap forward. In an otherwise grim year, this is a welcome and hopeful development. Oh, and if you would like to read more, here is an article about GPT-3 written by GPT-3.

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Opinion: Artificial intelligence is the hope 2020 needs - Crain's Cleveland Business

How Artificial Intelligence Can Be Used In Public Transport- Will People Be Able To Commute Safely After Covid-19? – Inventiva

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As it has been observed that many cities are forced to go back to lockdown again with the rise of the number of cases of coronavirus. Due to the emerging lockdowns, public transport will be facing new challenges in the days ahead. They have to avoid overcrowding buses and trains to prevent the virus from spreading ensuring to maintain the overall number of passengers to sustain the system. Meanwhile, the commuters are temporarily returning to public transport but it can be used widely if they see it as a safe way to reach their destinations.

According to the safety measure rules to protect against Covid-19 are to maintain social distancing. Overcrowding poses the risk to the major transmission of coronavirus and other diseases. Therefore, there is a need to flatten the typical morning and evening peak hours of passenger numbers. With the lack of passengers, this means the public transport companies have to put relatively frequent trains and buses all day long rather than back-to-back transport rush.

An all-day service provides special benefits and reduces passenger density resulting in social distancing. This also benefits drivers as they are less likely to change their shifts and passengers can rely on fairly frequent buses all day long. However, with the surge in the cases of Covid-19 infection, it can anytime affect the ridership demand. This can happen so quickly that transport companies wont have that much time to prepare and adjust. Therefore, there is a need to maintain the flexibility to reach within days or even hours and implements the changes that usually take months of preparation. Here is when digital technologies like Artificial Intelligence comes in the view.

Artificial Intelligence can help in maintaining a large amount of data the level of passengers demand, number of drivers on duty, availability of buses and trains, maximum hours driver can work between breaks, as well as the length of each break- and many more which are needed to be taken care of.

With the help of some algorithms, scenarios can be created. They can change the routes and travel times, the update on the schedules will be updated automatically. They can compare the revenue and costs based on different scenarios. It will help to take steps quickly as the circumstances changes, be it lockdown or staggered shifts, like quickly putting extra trains and buses if needed.

AI can also help to solve the unmanageable transport problems. For example, if any transport company wants to add 5% more trips to get passenger numbers over their journey. But they have 14% fewer drivers at hand. It seems impossible to handle. However, AI-driven software can found a way to add more trips with fewer drivers by optimizing the schedule and extending the average shifts by 45 minutes, and providing a necessary break time.

The Artificial Intelligence system that is added to buses is mainly to operate as quickly as possible by providing extra buses when needed to maintain social distancing. Though it sounds simple, it is not. It requires planning in the form of complex algorithms. These algorithms will generate alternative scenarios to figure out which part of the transportation network is needed to be modified to ensure extra vehicles and drivers to be available.

However, transport providers have to make sure that people reach their destination on time even if the schedule changes in a short period. The increase in time duration can lead to unhappy customers. This does not sound any good for business.

There is no saying what transit demand will be there in the upcoming months but cooperating with local government and private institutes to flatten peak hours, using AI for different scenarios management, and monitoring the impact whenever the service changes, will somehow help transportation providers to move ahead. This will actually help the general public to commute safely during the lockdown. Implementing such measures will give public transportation a move towards digitalization.

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How Artificial Intelligence Can Be Used In Public Transport- Will People Be Able To Commute Safely After Covid-19? - Inventiva

[Webinar] ACEDS Detroit Chapter: Fundamentals of Artificial Intelligence and Issues of Bias – August 4th, 1:00 pm – 2:30 pm ET – JD Supra

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August 4th, 2020

1:00 PM - 2:30 PM ET

Today, data-driven decisions are used in everything from credit to education to housing to employment to policing and beyond. This 90-minute session will cover what AI is, how it works, different ways AI is being used today in the legal industry, and some of the challenges with AI, focusing, in particular, on the issue of bias. Our presenter will address whether data-driven decisions are objective and fair, or whether they simply perpetuate bias and the status quo. Using the example of risk-based assessment tools applied in the criminal justice system, she will explore how to balance the competing considerations of the need for broad, representative data sets with the need to protect individual privacy, and what technologists, lawyers, and regulators can and should be doing to meet the challenges and opportunities inherent in data-driven decision-making.

*This webinar will be presented via Zoom - details will be sent via email once registration has been completed.

Speaker:

Maura R. GrossmanResearch ProfessorUniversity of Waterloo

Maura is a Research Professor in the David R. Cheriton School of Computer Science at the University of Waterloo, in Ontario, as well as an e-discovery attorney and consultant in New York City. Previously, Grossman was of counsel at Wachtell, Lipton, Rosen & Katz, where for 17 years, she represented Fortune 100 companies and major financial services institutions in corporate and securities litigation and white-collar criminal and regulatory investigations, and advised the firms lawyers and clients on legal, technical, and strategic issues involving e-discovery and information governance, both domestically and abroad. Grossman is a well-known and influential e-discovery lawyer and a pioneer in the use and evaluation of technology-assisted review.

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[Webinar] ACEDS Detroit Chapter: Fundamentals of Artificial Intelligence and Issues of Bias - August 4th, 1:00 pm - 2:30 pm ET - JD Supra

Artificial Intelligence in Medical Imaging Market Research Report 2020, Regional Analysis by Key Manufacturers, Application, Types, Growth…

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According to Orbis Research industry statistics, the Global Artificial Intelligence in Medical Imaging Market will inventory a CAGR of about xx% by 2026. This market research report offers a comprehensive analysis of the Artificial Intelligence in Medical Imaging markets growth based on end-users and geography.

This report focuses on the Global Artificial Intelligence in Medical Imaging Market status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Artificial Intelligence in Medical Imaging development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.

Top Companies:

Google Inc.CiscoIBM Corp.Microsoft Corp.Apple Inc.Salesforce Inc.Infineon Technologies AGIntel Security GroupNVIDIA Corp.Amazon Inc.

Request a sample of this report @ https://www.orbisresearch.com/contacts/request-sample/4869018?utm_source=golden

The research report on Artificial Intelligence in Medical Imaging provides regional market insights, rising growth, business growth factors, application, future guide, characterization, opportunities, future guide, openings, innovation, and in-depth market players along with their revenues. Likewise, the Artificial Intelligence in Medical Imaging research report also evaluates the market growth rate as well the current market value according to the market dynamics as well as the growth prospects. The market analysis offered in this report is assessed on the basis of market data, market trends, and the number of growth potentials. It includes an extensive investigation of the market scenario with the in-depth analysis of their major service providers.

Likewise, the Artificial Intelligence in Medical Imaging research report provides market insights from the huge number of statistics which are collected from robust Artificial Intelligence in Medical Imaging market data such as channel partners, manufacturers, regulatory bodies, as well as decision makers. In addition to this, on the basis of several clients conditions, the Artificial Intelligence in Medical Imaging report produces highly customized data that will help regional as well as global service providers to increase their market position over the globe.

Moreover, the Artificial Intelligence in Medical Imaging research report offers a holistic overview of the Artificial Intelligence in Medical Imaging market, several factors driving the market growth, as well as the companies involved in the Artificial Intelligence in Medical Imaging market. Furthermore, the Artificial Intelligence in Medical Imaging report also provides a detailed value chain analysis of the Artificial Intelligence in Medical Imaging market across the world. In addition to this, every section of the Artificial Intelligence in Medical Imaging research report has offered significant information to provide for service providers to increase their revenue margin, marketing strategy and sales, as well as profit margin. Furthermore, the Artificial Intelligence in Medical Imaging research report used as a tool for getting extensive market analysis, service providers can recognize the required changes into their operation and gain their position across the global market.

Browse the Complete report @ https://www.orbisresearch.com/reports/index/covid-19-impact-on-global-artificial-intelligence-in-medical-imaging-market-size-status-and-forecast-2020-2026?utm_source=golden

Market segment by Type, the product can be split into

Deep LearningComputer VisionOthers

Market segment by Application, split into

NeurologyCardiovascularBreast & LungOther

The study objectives of this report are:To analyze global Artificial Intelligence in Medical Imaging status, future forecast, growth opportunity, key market and key players.To present the Artificial Intelligence in Medical Imaging development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.To strategically profile the key players and comprehensively analyze their development plan and strategies.To define, describe and forecast the market by type, market and key regions.In this study, the years considered to estimate the market size of Artificial Intelligence in Medical Imaging are as follows:History Year: 2015-2019Base Year: 2019Estimated Year: 2020Forecast Year 2020 to 2026For the data information by region, company, type and application, 2019 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

Table of Content:Chapter One: Report Overview1.1 Study Scope1.2 Key Market Segments1.3 Players Covered: Ranking by Artificial Intelligence in Medical Imaging Revenue1.4 Market Analysis by Type1.4.1 Global Artificial Intelligence in Medical Imaging Market Size Growth Rate by Type: 2020 VS 20261.4.2 Cloud-based1.4.3 Web-based1.5 Market by Application1.5.1 Global Artificial Intelligence in Medical Imaging Market Share by Application: 2020 VS 20261.5.2 Hospitals1.5.3 Clinics1.5.4 Other1.6 Coronavirus Disease 201Chapter Nine: (Covid-19): Artificial Intelligence in Medical Imaging Industry Impact1.6.1 How the Covid-1Chapter Nine: is Affecting the Artificial Intelligence in Medical Imaging Industry1.6.1.1 Artificial Intelligence in Medical Imaging Business Impact Assessment Covid-191.6.1.2 Supply Chain Challenges1.6.1.3 COVID-19s Impact On Crude Oil and Refined Products1.6.2 Market Trends and Artificial Intelligence in Medical Imaging Potential Opportunities in the COVID-1Chapter Nine: Landscape1.6.3 Measures / Proposal against Covid-191.6.3.1 Government Measures to Combat Covid-1Chapter Nine: Impact1.6.3.2 Proposal for Artificial Intelligence in Medical Imaging Players to Combat Covid-1Chapter Nine: Impact1.7 Study Objectives1.8 Years ConsideredChapter Two: Global Growth Trends by Regions2.1 Artificial Intelligence in Medical Imaging Market Perspective (2015-2026)2.2 Artificial Intelligence in Medical Imaging Growth Trends by Regions2.2.1 Artificial Intelligence in Medical Imaging Market Size by Regions: 2015 VS 2020 VS 20262.2.2 Artificial Intelligence in Medical Imaging Historic Market Share by Regions (2015-2020)2.2.3 Artificial Intelligence in Medical Imaging Forecasted Market Size by Regions (2021-2026)2.3 Industry Trends and Growth Strategy2.3.1 Market Top Trends2.3.2 Market Drivers2.3.3 Market Challenges2.3.4 Porters Five Forces Analysis2.3.5 Artificial Intelligence in Medical Imaging Market Growth Strategy2.3.6 Primary Interviews with Key Artificial Intelligence in Medical Imaging Players (Opinion Leaders)Chapter Three: Competition Landscape by Key Players3.1 Global Top Artificial Intelligence in Medical Imaging Players by Market Size3.1.1 Global Top Artificial Intelligence in Medical Imaging Players by Revenue (2015-2020)3.1.2 Global Artificial Intelligence in Medical Imaging Revenue Market Share by Players (2015-2020)3.1.3 Global Artificial Intelligence in Medical Imaging Market Share by Company Type (Tier 1, Tier Chapter Two: and Tier 3)3.2 Global Artificial Intelligence in Medical Imaging Market Concentration Ratio3.2.1 Global Artificial Intelligence in Medical Imaging Market Concentration Ratio (CRChapter Five: and HHI)3.2.2 Global Top Chapter Ten: and Top 5 Companies by Artificial Intelligence in Medical Imaging Revenue in 20193.3 Artificial Intelligence in Medical Imaging Key Players Head office and Area Served3.4 Key Players Artificial Intelligence in Medical Imaging Product Solution and Service3.5 Date of Enter into Artificial Intelligence in Medical Imaging Market3.6 Mergers & Acquisitions, Expansion PlansContinued.

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Artificial Intelligence in Medical Imaging Market Research Report 2020, Regional Analysis by Key Manufacturers, Application, Types, Growth...

Artificial Intelligence as a Service Size, Analytical Overview, Growth Factors, Demand, Trends and Forecast to 2026 – Jewish Life News

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KandJ market research added a new market research report on Global Artificial Intelligence as a Service Market Report 2020 by Key Players, Types, Applications, Countries, Market Size, Forecast to 2026 (Based on 2020 COVID-19 Worldwide Spread) in the database of market research collaterals consisting of overall market scenario with prevalent and future growth prospects, among other growth strategies used by key players to stay ahead of the market.

Report Overview

It is our aim to provide our readers with report for Artificial Intelligence as a Service market, which examines the industry during the period 2015 2026. One goal is to present deeper insight into this line of business in this document. The first part of the report focuses on providing the industry definition for the product or service under focus in the Artificial Intelligence as a Service market report. Next, the document will study the factors responsible for hindering and enhancing growth in the industry. After covering various areas of interest in the industry, the report aims to provide how the Artificial Intelligence as a Service market will grow during the forecast period.

The Artificial Intelligence as a Service market report between the years 2020-2026 will highlight the current value of the industry. At the same time, there is also an estimate of how much this line of business will be worth at the end of the forecast period. As it is our goal to maintain high levels of accuracy at all times, we will take a look at the CAGR of the Artificial Intelligence as a Service market. We make sure that all the information available in this report has excellent levels of readability. One way we achieve this target is by Artificial Intelligence as a Service market segmentation. Going through the report for 2020 -2026 will bring our readers up-to-date regarding this industry.

Get the free Sample Copy of Research Report with Covid-19 Updates @ https://www.kandjmarketresearch.com/sample-request/375966

COVID-19 can affect the global market in 3 ways: by directly affecting the production and demand, by creating supply chain and market disturbance, and by its financial impact on enterprises and financial markets.

While examining the information from this document, one thing becomes clear, the elements which contribute to increase in demand for the product or service. At the same time, there will be a focus on what drives the popularity of these types of products or services. This report is for those who want to learn about Artificial Intelligence as a Service market, along with its forecast for 2020-2026. Information regarding market revenue, competitive partners, and key players will also be available.

Segmentation

As discussed earlier, there is segmentation in the Artificial Intelligence as a Service market report, to improve the accuracy and make it easier to collect data. The categories which are the dividing factors in the industry are distribution channels, application, and product or service type. With this level of segmentation, it becomes easier to analyze and understand the Artificial Intelligence as a Service market. At the same time, there is emphasis on which type of consumers become the customers in this industry. When it comes to distribution channels, the Artificial Intelligence as a Service market report looks at the different techniques of circulation of the product or service.

Market Analysis By Key Companies

Market Analysis By Type

Market Analysis By Applications

Market Analysis By Regions

Latest Industry News

From this Artificial Intelligence as a Service market report, the reader will also get to learn about the latest developments in the industry. The reason is that these products or services have the potential to disrupt this line of business. If there is information about company acquisitions or mergers, this information will also be available in this portion of the Artificial Intelligence as a Service market report.Additionally, recent trends, mergers and acquisitions, region-wise growth analysis along with challenges that are affecting the growth of the market are also stated in the report.

The Final Report Will Include the Impact of COVID 19 Analysis in This Artificial Intelligence as a Service Industry. Read Full Summary of the Research Study at @ https://www.kandjmarketresearch.com/reports/375966-global-artificial-intelligence-as-a-service-market-report-2020-by-key-players-types-applications-countries-market-size-forecast-to-2026-based-on-2020-covid-19-worldwide-spread

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Kandjmarketresearch.com is part of the KnowledgeNJournals Research Firm which provides premium progressive market research reports, statistical surveying, analysis & forecast data for industries and governments from hundreds of publishers around the world. We have almost all top publishers reports in our collection to provide you with instant online access to the worlds most complete and fresh database on a Daily Basis. We are at KandJ Market Research are inspired to help our clients grow by providing appropriate business insight with our huge market intelligence source.

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Artificial Intelligence as a Service Size, Analytical Overview, Growth Factors, Demand, Trends and Forecast to 2026 - Jewish Life News

Trust Is A Keystone Of Digital Transformation – Forbes

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Reputable and trustworthy authentication is a keystone of any digital transformation project. But ... [+] for businesses to really make progress and successfully move towards remote working, passwords need to be made a thing of the past.

Even in non-Covid times, digital transformation in any organization isnt easy. Weve all seen how the pandemic has drastically accelerated the willingness of, and the need for, organizations to embrace new technology, but it has also added complexity.

All of a sudden huge swathes of the workforce are working remotely, and businesses have had to react quickly to support a new, more remote and more flexible workforce. Aside from the various technical and logistical hurdles, many organizations are finding their biggest challenge is one of trust. With staff no longer physically present, how do you know your employees are who they say they are?

Creating trust in challenging times

I recently spoke to Andrew Shikiar, Executive Director and CMO, at the FIDO Alliance, who believes the answer lies in how organizations authenticate employees and end-users. And by solving this issue of trust, they will not only be able to move to a more remote model, but gain the confidence they need to push ahead with digital transformation projects.

Andrew says: You can't have digital transformation without security. What if you can't trust anyone you don't know? It undermines the whole ability to have digital transformation at scale. And to have security at scale, it needs to be easy. Fundamentally, technology needs to be easy for people to use.

FIDOs approach to addressing this problem revolves around a major shift in the way people authenticate themselves. In practice, this would mean users logging-in to devices, cloud-based platforms or online services using a biometric signature, like a fingerprint or their face, without the need for a password.

Farewell to the trusty password?

Phasing out passwords may sound counter-intuitive, but that is precisely what the FIDO Alliance was created to do. Its members include many of the worlds leading companies like Apple, American Express, Google, Microsoft and Samsung, who all recognize the pitfalls of the formerly trusty password.

Andrew explains: The traditional way of authenticating is password-based, but the odds are that [your password has] been stolen, it's sitting on the dark web already, or if not, someone can phish you through a replay attack over 80% of data breaches are caused by passwords, either because the password is stolen or something has been left open.

FIDO claims to solve this problem by moving away from the current dependency on server-side credentials, to one that authenticates users locally from a device in their possession, such as their PC or smartphone. Public key cryptography then enables the device to mediate the authentication process with the server.

Are biometrics the answer?

There will likely be many who are uncomfortable with the idea of providing biometrics to any private organization, let alone their employer. But due to the way the FIDO standards work, with data stored locally on the device as opposed to a server, it cannot be accessed by anybody other than the user. The bigger barrier to adoption may well be that large enterprises are unable to replace passwords in legacy systems that rely on them. But that does not prevent them from adding an extra layer of authentication, like that provided by FIDO or another form of second factor authentication, which could effectively remove the need to use a password for many employees in most circumstances.

As with any digital transformation project, you ultimately want to make life easier for employees, while increasing efficiency and productivity. Passwords were designed to be simple but, as we have all likely experienced, they have become incredibly cumbersome, leading many to take short-cuts. So any new authentication method, biometric or otherwise, needs to be simple and easy to adopt. When youre in the midst of a major transformation project, the last thing you need is an added complication or a new process for people to learn on top of all of the critical changes the business is making.

Establishing trust

The pandemic has forced organizations to adapt to new ways of working, and there are certainly opportunities for them to improve the way they operate. But the pandemic has also introduced complexity and raised issues around trust. As business leaders adapt to the current circumstances and plan for the future, more effective ways of establishing trust and authenticating employees could become increasingly common. But its vital that they find solutions in keeping with the overall aims of their digital transformation project - make it simple to use, make it more efficient, and make it more effective.

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Trust Is A Keystone Of Digital Transformation - Forbes

Global IoT Security Solution for Encryption Market 2020, COVID-19 Impact on Key Manufacturers, Applications, Types, Regional Outlook, Revenue,…

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According to Orbis Research industry statistics, the Global IoT Security Solution for Encryption Market will inventory a CAGR of about xx% by 2026. This market research report offers a comprehensive analysis of the IoT Security Solution for Encryption markets growth based on end-users and geography.

This report focuses on the Global IoT Security Solution for Encryption Market status, future forecast, growth opportunity, key market and key players. The study objectives are to present the IoT Security Solution for Encryption development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.

Top Companies:

Cisco SystemsIntel CorporationIBM CorporationSymantec CorporationTrend MicroDigicertInfineon TechnologiesARM HoldingsGemalto NVKaspersky LabCheckPoint Software TechnologiesSophos PlcAdvantechVerizon Enterprise SolutionsTrustwaveINSIDE Secure SAPTC Inc.AT&T; Inc.

Request a sample of this report @ https://www.orbisresearch.com/contacts/request-sample/4869093?utm_source=golden

The research report on IoT Security Solution for Encryption provides regional market insights, rising growth, business growth factors, application, future guide, characterization, opportunities, future guide, openings, innovation, and in-depth market players along with their revenues. Likewise, the IoT Security Solution for Encryption research report also evaluates the market growth rate as well the current market value according to the market dynamics as well as the growth prospects. The market analysis offered in this report is assessed on the basis of market data, market trends, and the number of growth potentials. It includes an extensive investigation of the market scenario with the in-depth analysis of their major service providers.

Likewise, the IoT Security Solution for Encryption research report provides market insights from the huge number of statistics which are collected from robust IoT Security Solution for Encryption market data such as channel partners, manufacturers, regulatory bodies, as well as decision makers. In addition to this, on the basis of several clients conditions, the IoT Security Solution for Encryption report produces highly customized data that will help regional as well as global service providers to increase their market position over the globe.

Moreover, the IoT Security Solution for Encryption research report offers a holistic overview of the IoT Security Solution for Encryption market, several factors driving the market growth, as well as the companies involved in the IoT Security Solution for Encryption market. Furthermore, the IoT Security Solution for Encryption report also provides a detailed value chain analysis of the IoT Security Solution for Encryption market across the world. In addition to this, every section of the IoT Security Solution for Encryption research report has offered significant information to provide for service providers to increase their revenue margin, marketing strategy and sales, as well as profit margin. Furthermore, the IoT Security Solution for Encryption research report used as a tool for getting extensive market analysis, service providers can recognize the required changes into their operation and gain their position across the global market.

Browse the Complete report @ https://www.orbisresearch.com/reports/index/covid-19-impact-on-global-iot-security-solution-for-encryption-market-size-status-and-forecast-2020-2026?utm_source=golden

Market segment by Type, the product can be split into

Software PlatformsService

Market segment by Application, split into

HealthcareInformation Technology (IT)TelecomBankingFinancial Services, And Insurance (BFSI)AutomotiveOthers

The study objectives of this report are:To analyze global IoT Security Solution for Encryption status, future forecast, growth opportunity, key market and key players.To present the IoT Security Solution for Encryption development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.To strategically profile the key players and comprehensively analyze their development plan and strategies.To define, describe and forecast the market by type, market and key regions.In this study, the years considered to estimate the market size of IoT Security Solution for Encryption are as follows:History Year: 2015-2019Base Year: 2019Estimated Year: 2020Forecast Year 2020 to 2026For the data information by region, company, type and application, 2019 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

Table of Content:Chapter One: Report Overview1.1 Study Scope1.2 Key Market Segments1.3 Players Covered: Ranking by IoT Security Solution for Encryption Revenue1.4 Market Analysis by Type1.4.1 Global IoT Security Solution for Encryption Market Size Growth Rate by Type: 2020 VS 20261.4.2 Cloud-based1.4.3 Web-based1.5 Market by Application1.5.1 Global IoT Security Solution for Encryption Market Share by Application: 2020 VS 20261.5.2 Hospitals1.5.3 Clinics1.5.4 Other1.6 Coronavirus Disease 201Chapter Nine: (Covid-19): IoT Security Solution for Encryption Industry Impact1.6.1 How the Covid-1Chapter Nine: is Affecting the IoT Security Solution for Encryption Industry1.6.1.1 IoT Security Solution for Encryption Business Impact Assessment Covid-191.6.1.2 Supply Chain Challenges1.6.1.3 COVID-19s Impact On Crude Oil and Refined Products1.6.2 Market Trends and IoT Security Solution for Encryption Potential Opportunities in the COVID-1Chapter Nine: Landscape1.6.3 Measures / Proposal against Covid-191.6.3.1 Government Measures to Combat Covid-1Chapter Nine: Impact1.6.3.2 Proposal for IoT Security Solution for Encryption Players to Combat Covid-1Chapter Nine: Impact1.7 Study Objectives1.8 Years ConsideredChapter Two: Global Growth Trends by Regions2.1 IoT Security Solution for Encryption Market Perspective (2015-2026)2.2 IoT Security Solution for Encryption Growth Trends by Regions2.2.1 IoT Security Solution for Encryption Market Size by Regions: 2015 VS 2020 VS 20262.2.2 IoT Security Solution for Encryption Historic Market Share by Regions (2015-2020)2.2.3 IoT Security Solution for Encryption Forecasted Market Size by Regions (2021-2026)2.3 Industry Trends and Growth Strategy2.3.1 Market Top Trends2.3.2 Market Drivers2.3.3 Market Challenges2.3.4 Porters Five Forces Analysis2.3.5 IoT Security Solution for Encryption Market Growth Strategy2.3.6 Primary Interviews with Key IoT Security Solution for Encryption Players (Opinion Leaders)Chapter Three: Competition Landscape by Key Players3.1 Global Top IoT Security Solution for Encryption Players by Market Size3.1.1 Global Top IoT Security Solution for Encryption Players by Revenue (2015-2020)3.1.2 Global IoT Security Solution for Encryption Revenue Market Share by Players (2015-2020)3.1.3 Global IoT Security Solution for Encryption Market Share by Company Type (Tier 1, Tier Chapter Two: and Tier 3)3.2 Global IoT Security Solution for Encryption Market Concentration Ratio3.2.1 Global IoT Security Solution for Encryption Market Concentration Ratio (CRChapter Five: and HHI)3.2.2 Global Top Chapter Ten: and Top 5 Companies by IoT Security Solution for Encryption Revenue in 20193.3 IoT Security Solution for Encryption Key Players Head office and Area Served3.4 Key Players IoT Security Solution for Encryption Product Solution and Service3.5 Date of Enter into IoT Security Solution for Encryption Market3.6 Mergers & Acquisitions, Expansion PlansContinued.

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Bitcoin applications used to archive hacked tweets – CoinGeek

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During the recent Twitter hack where top influencers on the platform seemingly shilled a common digital currency scam, two Bitcoin SV applications demonstrated a powerful use case.

Source: Ark Twitter

Ark is an app that is still in closed beta, but has a feature where it will automatically archive tweets to the Bitcoin SV ledger if you summon their account via the syntax:

@arktobitcoin thread

The tweet replied to will display on Arks in-app Shared feed, as well as be timestamped on the ledger:

Source: WhatsonChain

This feature was originally intended to archive long tweet threads so that users could read them later but became quite useful in this catastrophic event for Twitter.

Archiving tweets on-chain was an initial feature of Twetch and was also heavily used during this incident. Users recorded links and screenshots of almost all the hacked tweets, demonstrating the accountability feature of the Bitcoin ledger.

Source: Twetch

Slowly but surely users are becoming aware of how the established technology platforms manipulate what their users see via algorithms and biased moderation. This event could be the final straw as the hack explicitly targeted Twitters verified accounts, colloquially known as Blue checkmarks.

The entire point of this feature was to communicate to users that these accounts have been vetted by Twitter to be authentic, yet hackers effortlessly promoted a scam from top followed accounts, leading to theft of ~$120,000 in BTC. Naturally, some users would fall for it, as they see power couple Kanye West and Kim Kardashian, top financial investors, athletes, musicians, and politicians claiming to give back to their communities because of the COVID-19 pandemic.

Source: Twetch

This situation seemingly could not get worse for Twitter when screenshots of features that appear to allow shadow-banning of users were leaked online. The leak hammers home that Twitter possesses absolute control and bias over what their users view.

These social media platforms are holding too much valuable data in private serverswhich have led to the formation of honeypots for hackers and potential for abuse of power and corruption. Twitter has revealed itself to be playing God with their customers timelines, asserting they know what is best for the users as a former Twitter executive states in the timestamped link below:

These circumstances are enabled due to the flawed security model of the Internet, where the large tech companies have formed central hubs that have wide influence. Such influence, that once hackers compromise one of these points of failure, they obtain complete control.

Comparing the security of the Internet to Bitcoin where only the user has control of their keys and accounts, such a situation becomes near impossible. Each account must be compromised individuallycontrolling the back end of a company like Twetch or Ark would not yield control over all customers accounts.

The amount of disinformation, fake news and media manipulation during a tumultuous 2020 is quite overt. Dogpiling on to the situation are companies like Twitter, Facebook and Google who leverage their power to further sow confusion, hate and divisiveness throughout their platforms because not only do they believe what is morally superior, they profit from it all.

This situation seemingly is primed for alternative solutions that Bitcoin can provide, where now tools in the users control are demonstrating their effectiveness against abuses of power.

New to Bitcoin? Check out CoinGeeksBitcoin for Beginnerssection, the ultimate resource guide to learn more about Bitcoinas originally envisioned by Satoshi Nakamotoand blockchain.

Continued here:

Bitcoin applications used to archive hacked tweets - CoinGeek

Rocket Software Beefs Up Security in the Latest D3 Release – Database Trends and Applications

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Rocket Software is releasing Rocket D3 10.3.2 with a plethora of security, performance, and integration enhancements.

Version 10.3.2 has encryption enhancements plus SSL connectivity so users can securely share. For encryption, 10.3.2 provides tools to secure both data at rest and data in transit.

Other security updates include:

Version 10.3.2 contains enhancements across the dataserver engine including query, run-time, and SQL for a better end-user experience. Additionally integrations with Red Hat Linux, MV integration sever and Windows server 2019.

An MV workstation with access to D3 was also added to allow remote workers to print from their home or field office.

With this shift to working from home environment, this update is really cool, said Brian Cram, technical support engineer, Rocket Software. User defined functions is also a big update.

Encryption at the field level, rather than at the file level, offers a performance benefit, especially for large files. The architecture allows D3 to utilize more than 4GB of memory, taking advantage of greater addressing space and improved file caching in memory.

The update allows users to easily extend D3 application functionality, as well as attract and retain new development talent with Python native language support.

D3 10.3.1 allows BASIC developers to leverage the Python Open Source library of hundreds of thousands of solutions for quickly adding new features to improve your application.

The ability to call into D3 from Python in version 10.3.2 completes the bidirectional support of Rocket D3 Python for better integration, allowing Python developers to access data and existing business rules that are stored in the D3 database environment.

We have a very loyal customer base and theyve been really appreciative of our MVU sessions, said Chris Rizza, product manager at Rocket Software.

Customers that have been gravitating toward these virtual workshops were clamoring for the Python integration to attract new developers, according to Cram.

Its a great way to prevent the talent gap, said Richard Berman, CEO, VerbFactory.

For more information about these updates, visit http://www.rocketsoftware.com.

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Rocket Software Beefs Up Security in the Latest D3 Release - Database Trends and Applications


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