Putting the Quantum in Security – Optics & Photonics News

Grgoire Ribordy [Image: Courtesy of ID Quantique]

In the second day of OSAs Quantum 2.0 conference, the focus shifted from quantum computing to other aspects of quantum technologyparticularly quantum communications and quantum sensing. On that note, Grgoire Ribordy, the founder of the Switzerland-based quantum crypto firm ID Quantique, looked at how quantum technologies are being employed for the long-term challenges in data security posed by quantum computing itself.

ID Quantique has a long pedigree in quantum technology; the company has been in business since 2001. In retrospect, Ribordy said, we were really crazy to start a company in quantum technology in 2001 It was way too early. But the firm forged ahead and has now developed a suite of applications in the data-security space.

Ribordy stressed thatespecially over the past few monthsits become increasingly clear that digital security, and protecting digital information against hacking, is extremely important. Classical cryptography assembles a set of techniques for hiding information from unauthorized users, which Ribordy compared to building a castle around the data.

The problem, however, is that after quantum computers become reality, one application for them will be to crack the cryptography systems that are currently in use. When that happens, said Ribordy, the walls we have today wont be able to protect the data anymore. The best cryptography techniques for avoiding that baleful outcome, he suggested, are those that themselves rely on quantum technologyand that can provide robust protection, while still allowing the convenience of the prevailing classical private-key encryption systems.

[Image: Grgoire Ribordy/OSA Quantum 2.0 Conference]

Just how much one should worry about all ofthis nowwhen quantum computers powerful enough to do this sort of cracking still lie years in the futuredepends, according toRibordy, on three factors. One, which he labeled factor x, is how long you need current data to be encryptedperhaps only a short time for some kinds of records, decades for other kinds. The second, y, is the time that it will take to retool the current infrastructure to be transformed into somethingquantum-safe. And the third, z, is how long it will actually take for large-scale, encryption-breaking quantum computers to be built.

If x and/or y are longer than z, he suggested, we have a problemand theres a lot of debate today surrounding just what the values of these variables are. One of ID Quantiques services is to take clients through a quantum risk assessment that attempts to suss out how long they need to protect their data, and what the implications are for their cryptography approach.

Ribordy cited three key components to effective long-term quantum encryption. One, and perhaps the oldest, is quantum random number generation (QRNG) to build security keys, whether classical or quantum. A second is something that Ribordy called crypto-agility. (You dont hard-code cryptography, he explained. Instead, you want to upgrade it whenever a new advance comes.) And the third component is quantum key distribution (QKD), which is a technique still under active development, but which is already being deployed in some cases.

On the first component, Ribordy noted that ID Quantique has been active in QRNG since 2014, when the idea arose of using mobile-phone camera sensors as a source for QRNs. These arrays of pixels, he said, can provide both large rates of raw entropy (an obvious necessity for true randomness), and an industry-compatible interface. He walked the audience through the companys efforts to create a low-cost (CMOS-based), low-power, security-compliant chip for QRNGbeginning with early experiments using a Nokia phone and moving through the required efforts at miniaturization, engineering for stability and consistency, and avoiding such pitfalls as correlations between the different camera pixels, which would degrade the randomness of the output.

The result, Ribordy said, is a QRNG chip that has recently been added to a new Samsung mobile phoneappropriately named the Galaxy A71 Quantumthat is now available in the Republic of Korea. And the chip is not just window dressinga Korean software company partnered with Samsung to create apps for pay services, cryptocurrency services and other features that rely on random numbers, and that use the ID Quantique chip to get high-quality instances of them.

Grgoire Ribordy, at the OSA Quantum 2.0 conference.

We think this is very important, said Ribordy, because it shows that quantum technologies can be industrialized and integrated into applications.

In terms of such industrialization, another security application, quantum key distribution (QKD) is not as advanced as QRNG, according to Ribordybut he argued that the experience of QRNG bodes well for QKDs commercialization path. One issue for QKD is the short distance that such secure links can exist in fiber before quantum bit error rates become too high, though Ribordy pointed to recent paper in Nature Photonics in which practical QKD was demonstrated across a fiber link of 307 km.

Ribordy noted a number of areas of particular activity in the QKD sphere. One active area of interest, for example, is developing network topologies that play especially well with QKD. ID Quantique is also working with SK Telecom in the Republic of Korea on how QKD can be integrated into the optical networks underlying next-generation, 5G wireless. In these circumstances, the proverbial last mile, operating at radio frequencies, can only be secured with traditional cryptography, but using QKD on the optical part of the communication chain will make the network as a whole more secure.

A number of other projects are in the works as well, Ribordy said, including a European project, Open QKD, the goal of which is to prepare the next generation of QKD deployment in Europe. And large-scale deployment projects are afoot in China as well.

The presence of these diverging global efforts prompted a question in the Q&A session that followed Ribordys talkjust how open are these QKD markets? Ribordy noted that, in the near term they are closing down Since quantum is a new industry, every country or region would like to be a player. The Chinese QKD ecosystem, he suggested, is completely cut offthere is kind of a Galapagos effect, and Europe also is starting to become a more closed ecosystem in the QKD arena. Ribordy views this as a sign of market immaturity, however, and believes things will become more open again in the future with efforts toward certification and standardization.

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Putting the Quantum in Security - Optics & Photonics News

What are the 5 most undervalued cryptocurrencies right now? A look – Stanford Arts Review

About Cryptocurrency

Cryptocurrency is a digital asset structured to work as a medium of exchange where every single coin and transaction is stored in an online ledger format. Strong cryptography is used to fix up the transaction process and for the generation of additional coins.

The technology prevailing behind cryptocurrencies are really difficult to understand. Even pioneers in business feel it difficult to comprehend about this topic and how the values of cryptocurrencies are being fixed up. But as there are around 3000 digital assets disseminated digitally, we are in need to implement certain metric and analytical tools for identifying its value. Let us discuss the 5 most undervalued cryptocurrencies in this blog.

Virtual cryptocurrency financial technology and internet money exchange rates and coin signs

Market cap is an authentic organization that has listed the most undervalued cryptocurrencies which will be dealt with in this article.

As per Market cap, Fusion (FSN) is one of the most undervalued cryptocurrencies. The price of the token remains always high and it is estimated that the value of this will rapidly increase from 20x to even more. Fusion is now a bit easy for buyers to share in their ticketed-proof-of-stake ecosystem through Amazon Web Servers or Google Compute Engine.

All-Time-High: USD 9.39

Market Cap: $25,284,145 USD

All-Time-Low:USD 0.090

Bitcoin was one of the digital assets very promising and is good to invest in. It is a strange fact that the person who identified this digital asset is yet to be known, but the community is still growing day by day. Bitcoin can be popularly known as programmable money in the digital world.

All-Time-High: $19,870.62 USD

Market Cap: $150,775,185,969 USD

All-Time-Low: $0.010 USD

Ethereum is popularly known as a programmable blockchain. And this was released by Vitalik Buterin in 2013 when his scripting language to enable decentralized applications (dApps) did not attract the Bitcoin community.

This functions with a new crowdfunding mechanism popularly known as Initial Coin Offering (ICO). Ethereum helps in bringing out Block chain 2.0 which helps in the usage of blockchain technology beyond the finance sector.

All-Time-High: $1,448.18 USD

Market Cap: $19,949,805,779 USD

All-Time-Low: $0.15 USD

Cardano sets its project as a Smart Contract platform, distinguishing by providing more advanced features. Introduced by Charles Hoskinson, Cardano is a team of technically advanced minds from different backgrounds. As Ethereum it uses a blockchain concept for making its token value remain highest all time. So, Cardano is popularly called as blockchain 3.0.

All-Time-High: $1.18 USD

Market Cap: $1,056,868,964 USD

All-Time-Low: 0.00 USD

EOS is known as the highly scalable and cost-efficient smart contract platform. It was launched by Dan Larimer, a very knowledgeable person who created Delegated Proof-of-Stake (DPoS) the consensus protocol of EOS. It has been described as a decentralized operating system capable of running enterprise-grade and industrial-grade decentralized applications.

All-Time-High: $19.35 USD

Market Cap: $2,986,208,298 USD USD

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What are the 5 most undervalued cryptocurrencies right now? A look - Stanford Arts Review

CryptoLocally Partners With Swingby to Bring Native Bitcoin P2P Trading – GlobeNewswire

Hong Kong, Sept. 21, 2020 (GLOBE NEWSWIRE) -- CryptoLocally, the leading non-custodial peer-to-peer crypto trading platform, is excited to announce today its deep technology partnership with the decentralised token swap protocol Swingby Skybridge.

Limitations on Bitcoins composability have historically made it difficult to use it in the smart contracts that power peer-to-peer exchange platforms and instead require traders to swap the native coin for a wrapped version elsewhere, such as on a CEX, before moving it to a smart contract powered service like CryptoLocally often adding in extra fees, custody risk, and KYC requirements.

The partnership with Swingby will enable traders to send native Bitcoins through Cryptolocally. Incoming native Bitcoins will be routed through Swingbys trustless Bitcoin to Binance-chain bridge SkyBridge, allowing for the BEP2 1:1 pegged assets to be used within the platforms escrow smart contract. This will remove the need for third party custody exchanges and enable a long awaited feature for the CryptoLocally community that currently transact over $350k USD per month on the platform.

Swingbys advanced threshold-signature and MPC technology will enable the Cryptolocally to support the most liquid digital assets in the world, including Bitcoin, the $200 Billion market cap asset. CryptoLocally Co-Founder and chief engineer Jae Chung described the Swingby Skybridge as the missing piece needed in order to achieve the goal of offering even more token variety for trading, adding, Swingby's Skybridge matches CryptoLocally's mantra perfectly fast and non-custodial. We're very excited to bring this partnership to life and improve the trading experience for our users.

Internal estimates predict that the addition of the native Bitcoin chain to the platform could conservatively triple the monthly trading volumes sending them over $1m USD per month.

We see ourselves as the enablers of DeFi. Bridging together decentralised protocols and bringing the most liquid digital asset in the world, Bitcoin, into the ecosystem is our main mission. Our partnership with Cryptolocally is a great step in that direction and we are really excited to begin working with their team. By providing a trustless bridge between native Bitcoin and Binance-chain for each trade, the Swingby protocol can expect to process a few million dollars a month in baseline transaction volume and bring those volumes to our node stakers, whilst also facilitating more Bitcoin adoption on the CryptoLocally platform. said Yusaku Senga, the founder and CEO of Swingby, adding Once we have fully integrated our new groundbreaking one-round signing cryptography, and integrate Lighting Network in 2021, peer-to-peer trade times could be reduced to minutes or even seconds, giving the CryptoLocally platform a huge competitive advantage in the space.

About CryptoLocally

CryptoLocally is a leading P2P cryptocurrency trading platform. Our platform is non-custodial and uses a smart contracts escrow to provide additional security to users. Throughout the trading process no third party, including CryptoLocally, will have full control of the users crypto assets. That way, CryptoLocally remains a truly decentralised trading platform.

The platformrecently released a DeFi feature that allows users to earn interest on ETH, DAI, USDT, USDC, and GIV, our native token. Integrating the trading platform with DeFi capabilities and designing both to be easy to use have turned CryptoLocally into a viable pathway to financial inclusion for the 1.7 billion people still living without access to financial services. CryptoLocally recently closed a private sale of our native token, GIV. Investors included FTX, IOSG Ventures, NGC Ventures, Genesis Block, and One Block Capital. The GIV public sale will be held soon.

About Swingby

Swingby Labs was launched in Singapore in 2018 by a group of crypto enthusiasts joining forces to make the tools to connect Bitcoin with other blockchains.

Swingbys bridge protocol, Skybridge, builds trustless bridges between BTC, Ethereum, Binance Chain and other blockchains secured by a network of nodes that execute fast token swaps using layer 2 multi-party computing technology.

Skybridge allows users to move Bitcoin tokens between the Bitcoin, Ethereum, and Binance Chain blockchains without relying on a central custodian, opening up a world of DeFi capabilities such as liquidity pooling and trading with easy to use UX. Users can swap their coins across chains using self-custody wallets and there's no logins or KYC.

The Skybridge testnet bridge has transacted over $14 Billion in testnet BTC capital between the Bitcoin and Binance Chain blockchains, and its decentralized technology has been fully battle tested in live high volume environments.

In early 2021, Swingby plans to launch its Ethereum MainNet, bridging Bitcoin capital to an ecosystem which already has over $750MM in Bitcoin capital locked up in DeFi contracts. Building on exciting partnerships with projects such as Elrond, Waves and Kira Network, Swingby aims to expand reach to more projects, adding support where the most value can be added.

The documentation pages for Skybridge, which offer a deeper dive into the technical aspects of the protocol, are located here.

Media Contact Information:Dan, Email: dan@rocketbc.comCryptoLocallyWebsite:https://cryptolocally.com/en

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CryptoLocally Partners With Swingby to Bring Native Bitcoin P2P Trading - GlobeNewswire

AYN InfoTech : The top choice for Enterprise Software Solutions with Blockchain and Artificial Intelligence – PR Newswire India

AYNis a renowned globalentity that specialises in Enterprise Software Solutions. Founded in 2009,Mr. Yakub Sheikh steersthe healm ofthis establishmentwhichhas flourished tremendously, under his leadership.Priding itself on its state-of-the-art development and delivery centres, AYN has been workingwith more than300 consumers worldwide for the last one decade.

The Core Services adopted by AYN InfoTech within their operations comprise of:

The inner workings of these core services have been elaborated below:

The various industries that AYN InfoTech has their strong foothold in are in abundance. With an all-inclusive approach, they wish to establish a digital world with streamlined processes. A few of the broad industries they cater to are - Banking & Finance, Manufacturing, Capital Markets, Energy & Utility, Insurance, Transport, Hospitality, Telecom, Real Estate, Retail, Facility Management, Education, and Healthcare.

To offer a personalised approach for these specific industries, AYN InfoTech has a number of products that ensure a customised output is focused on.

Smart Analytics, AI, IoT, and Blockchain integrated with Various Product Offerings:

The Smart Analytics feature offered by AYN plays a crucial role in helping organizations fuel their productivity with detailed insights guiding them to improve their processes. The customer information collated throughWalnut ERP, a product designed by AYN InfoTech, ensures that the company is only engaged in manufacturing processes that have consumer intake, thereby promoting sustainable production and eliminating wastage.

While information flows into the market, AI allows companies to scan through these large data sets at unparalleled speed. It provides an opportunity for smart analysis of massive amounts of fractured data, paving sustainable new pathways for business. Blockchain is a game-changer for supply chain management, enabling greater transparency and efficiency. It has the potential to allow companies and consumers to track transactions more securely and transparently, to ensure that suppliers are adhering to their sustainable manufacturing values.

For the maintenance of complex consumer data and in order to generate prolific information,Pineis aCRMtool that allows an improved and strategic marketing approach in order to achieve higher sales targets.Oak CBS, primarily operating with the use of Blockchain and AI is another one of AYN's products which is an aid to financial institutions in maintaining records of transactions and in conducting banking functions smoothly. It provides transaction management, payment processing services, and account management thus ensuring sustainable values.

At a time when the healthcare industry would require additional hands of support to safely store and access all data using smart tools for their operational and research purposes,Cedar Healthcareis another such product which allowsdata security of medical data while acting in compliance with all legal requirements. With Blockchain acting as a support, the permanence and accuracy of the data is maintained.

The use of IoT gives businesses an opportunity for a global reach and a platform to connect with people across the globe. Data mining tools have become increasingly advanced and their development further will provide access to data and insights that have not been user-friendly before, empowering all parties to quickly and efficiently hone in on value for their organizations.

Projects that harness the power of Enterprise Software Solutions can thus effectively contribute towards achieving the long-term goals of industries from various categories, in turn increasing their productivity and profitability.

Enterprise Software Solutions; a necessity:

Enterprise software solutions are an organisational requirement, owing to a surplus of big data and information that companies must deal with on a day-to-day basis. Organizational software increases the efficiency of business processes while keeping a secure database of all happenings. Not only do they assist in streamlining operations with integrated information, but they also act as a cost-saving benefit with flexibility, scalability, automatic functions, and machine learning.

They make reporting and decision-making increasingly smooth. This offers various features for efficient CRM, effortless operations, and the ability to carry out safe and secure transactions. There are various types of such software personalized for every business offering like project management tools, marketing automation, enterprise resource planning, treasury management systems, and business intelligence as well. Enterprise software solution systems are automated hubs used to control and streamline operational processes within organizations. In the digital era, data is the currency, and cloud storage is the solution to safeguarding it.

For more information visit: https://www.ayninfotech.com

Media Contact : Aaliya Panju[emailprotected]Public Relations Lead - West India, Trivium Public Relations

Logo: https://mma.prnewswire.com/media/1276987/AYN_InfotTech_Limited_Logo.jpg Photo: https://mma.prnewswire.com/media/1276988/Mr_Yakub_Sheikh_Founder_AYNInfoTech.jpg

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Global Automotive Artificial Intelligence Market 2020-2027 Trends, Industry Demand, Incredible Potential and Stagnant Progress According to New…

The research study on Automotive Artificial Intelligence Market added byReportspediapresents an extensive analysis of current Automotive Artificial Intelligence Market size, drivers, trends, opportunities, challenges, as well as key market segments. In continuation of this data, the Automotive Artificial Intelligence Market report covers various marketing strategies followed by key players and distributors.

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Microsoft Corporation etc.Didi ChuxingDaimler AGFord Motor CompanyIntel CorporationAudi AGUber Technologies, IncTesla, IncGeneral Motors CompanyXilinx Inc.Toyota Motor CorporationMicrosoft CorporationNVIDIA CorporationAlphabet Inc.Volvo Car CorporationHarman International Industries, Inc.

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Deep LearningMachine LearningContext AwarenessComputer VisionNatural Language Processing

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Semi-autonomous DrivingAutonomous Driving

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This section of the report identifies a variety of key manufacturers in the market. It helps the reader know the strategies and collaboration that players are focus on combat competition in the market. The wide-ranging report provides a major microscopic look at the market. The reader can discover the footprints of the manufacturers by knowing about the global revenue of manufacturers and sales by manufacturers during the forecast period of 2020 to 2027.

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Global Automotive Artificial Intelligence Market 2020-2027 Trends, Industry Demand, Incredible Potential and Stagnant Progress According to New...

Artificial Intelligence Market Includes Important Growth Factor with Regional Forecast, Organization Sizes, Top Vendors, Industry Research and End…

Artificial Intelligence

Artificial Intelligence Market is analyzed with industry experts in mind to maximize return on investment by providing clear information needed for informed business decisions. This research will help both established and new entrants to identify and analyze market needs, market size and competition. It explains the supply and demand situation, the competitive scenario, and the challenges for market growth, market opportunities and the threats faced by key players.

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A 360 degree outline of the competitive scenario of the Global Artificial Intelligence Market is presented by Quince Market Insights. It has a massive data allied to the recent product and technological developments in the markets.

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Intel Corporation, NVIDIA, Xilinx, Samsung, Facebook, Micron Technology, IBM Corporation, Google, Microsoft Corporation, and AWS.

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A detailed outline of the Global Artificial Intelligence Market includes a comprehensive analysis of different verticals of businesses. North America, Latin America, Asia-Pacific, Africa, and Europe have been considered for the studies on the basis of several terminologies.

This is anticipated to drive the Global Artificial Intelligence Market over the forecast period. This research report covers the market landscape and its progress prospects in the near future. After studying key companies, the report focuses on the new entrants contributing to the growth of the market. Most companies in the Global Artificial Intelligence Market are currently adopting new technological trends in the market.

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Artificial Intelligence in Retail Market EMERGING TRENDS AND COMPETITIVE LANDSCAPE,Future Prospects, Growth And FORECAST TO 2028 – The Daily Chronicle

Artificial Intelligence in Retail

Artificial Intelligence in Retail Market is analyzed with industry experts in mind to maximize return on investment by providing clear information needed for informed business decisions. This research will help both established and new entrants to identify and analyze market needs, market size and competition. It explains the supply and demand situation, the competitive scenario, and the challenges for market growth, market opportunities and the threats faced by key players.

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It has a wide-ranging analysis of the impact of these advancements on the markets future growth, wide-ranging analysis of these extensions on the markets future growth. The research report studies the market in a detailed manner by explaining the key facets of the market that are foreseeable to have a countable stimulus on its developing extrapolations over the forecast period.

Amazon Web Services, Baidu Inc., BloomReach Inc., CognitiveScale Inc., GoogleInc., IBM Corporation, Inbenta Technologies, IntelCorporation, Interactions LLC, Lexalytics Inc., MicrosoftCorporation, NEXT IT Corp., NvidiaCorporation, OracleCorporation, RetailNext Inc., Salesforce.com Inc., SAPSE, Sentient Technologies, Visenze

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This is anticipated to drive the Global Artificial Intelligence in Retail Market over the forecast period. This research report covers the market landscape and its progress prospects in the near future. After studying key companies, the report focuses on the new entrants contributing to the growth of the market. Most companies in the Global Artificial Intelligence in Retail Market are currently adopting new technological trends in the market.

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Table of Contents:

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QMI has the most comprehensive collection of market research products and services available on the web. We deliver reports from virtually all major publications and refresh our list regularly to provide you with immediate online access to the worlds most extensive and up-to-date archive of professional insights into global markets, companies, goods, and patterns.

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Artificial Intelligence in Retail Market EMERGING TRENDS AND COMPETITIVE LANDSCAPE,Future Prospects, Growth And FORECAST TO 2028 - The Daily Chronicle

Accern Announces New Artificial Intelligence Dashboard to Gauge the Impact of the 2020 U.S. Presidential Election – Salamanca Press

NEW YORK, Sept. 17, 2020 /PRNewswire/ --Accern Corporation, a leading no-code, AI fintech company today announced the launch of a new Presidential Election dashboard to track and analyze sentiment around the upcoming election. Without knowledge of code, business analysts and researchers can immediately access Accern's ready-made Presidential ElectionInsights use case and view the datathrough a dashboard.

The COVID-19 crisis and the 2020 U.S. presidential election have created uncertainty in the nationcausingmarket volatility for investors. With the amount of unstructured content in the Internet today, researchers and analysts are turning to artificial intelligence and machine learning to automate hours of manual researching, identifying, and extracting data.

Accern's Presidential Election dashboard provides users with an out-of-the-box solution to gain insights around the 2020 presidential candidates and candidate campaigns, policies, polling, appearances, and more. The dashboard retrieves and analyzes data from Accern's integrated unstructured data store of over 1 billion global public news sites and blogs.To view the dashboard, email solutions@accern.com.

"We have reached a pivotal point in automating workflows in the financial industry, with a no-code, AI-platform. Investors can quicklybuild and deploy event-driven use cases in minutes without writing a single line of code," said Kumesh Aroomoogan, co-founder and CEO of Accern."Weare excited about the results of our new Presidential Election dashboard in providing financial service institutions the ability to research, track, and analyze sentiment to make better-informed investment decisions."

To enable news tracking and sentiment analysis on target candidates across the U.S., Accern implemented the following features and tactics:

To learn more about the Presidential Election dashboard or to build your own AI use case, please email solutions@accern.com.

About Accern Corporation:Accern enhances AI workflows for financial service enterprises with a no-code data science platform. Researchers, business analysts, data science teams, and portfolio managers use Accern to build and deploy Natural Language Processing(NLP)models with artificial intelligence(AI).The results are that companies cut costs, generate better risk and investment insights, and experience a 24x productivity gain with our industry-leading NLP solutions. Allianz, IBM, and Jefferies utilize Accern to build and deploy AI solutions powered by our adaptive NLP and forecasting features. For more information on how we can accelerate AI adoption for your organization, visitaccern.com

Follow us onLinkedIn,Twitter, andInstagram.

Media Contact: Grace Kim, grace.kim@accern.com

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Accern Announces New Artificial Intelligence Dashboard to Gauge the Impact of the 2020 U.S. Presidential Election - Salamanca Press

Latest News 2020: Automotive Artificial Intelligence Software Market by Coronavirus-COVID19 Impact Analysis With Top Manufacturers Analysis | Top…

The latest Automotive Artificial Intelligence Softwaremarket report estimates the opportunities and current market scenario, providing insights and updates about the corresponding segments involved in the global Automotive Artificial Intelligence Softwaremarket for the forecast period of 2020-2026. The report provides detailed assessment of key market dynamics and comprehensive information about the structure of the Automotive Artificial Intelligence Softwareindustry. This market study contains exclusive insights into how the global Automotive Artificial Intelligence Softwaremarket is predicted to grow during the forecast period.

The primary objective of the Automotive Artificial Intelligence Software market report is to provide insights regarding opportunities in the market that are supporting the transformation of global businesses associated with Automotive Artificial Intelligence Software. This report also provides an estimation of the Automotive Artificial Intelligence Softwaremarket size and corresponding revenue forecasts carried out in terms of US$. It also offers actionable insights based on the future trends in the Automotive Artificial Intelligence Softwaremarket. Furthermore, new and emerging players in the global Automotive Artificial Intelligence Softwaremarket can make use of the information presented in the study for effective business decisions, which will provide momentum to their businesses as well as the global Automotive Artificial Intelligence Softwaremarket.

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The study is relevant for manufacturers, suppliers, distributors, and investors in the Automotive Artificial Intelligence Softwaremarket. All stakeholders in the Automotive Artificial Intelligence Softwaremarket, as well as industry experts, researchers, journalists, and business researchers can influence the information and data represented in the report.

Automotive Artificial Intelligence Software Market 2020-2026: Segmentation

The Automotive Artificial Intelligence Software market report covers major market players like

Automotive Artificial Intelligence Software Market is segmented as below:

By Product Type:

Breakup by Application:

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Impact of COVID-19:Automotive Artificial Intelligence SoftwareMarket report analyses the impact of Coronavirus (COVID-19) on the Automotive Artificial Intelligence Softwareindustry.Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost 180+ countries around the globe with the World Health Organization declaring it a public health emergency. The global impacts of the coronavirus disease 2019 (COVID-19) are already starting to be felt, and will significantly affect the Automotive Artificial Intelligence Softwaremarket in 2020.

The outbreak of COVID-19 has brought effects on many aspects, like flight cancellations; travel bans and quarantines; restaurants closed; all indoor events restricted; emergency declared in many countries; massive slowing of the supply chain; stock market unpredictability; falling business assurance, growing panic among the population, and uncertainty about future.

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

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Global Automotive Artificial Intelligence Software Market Report Answers Below Queries:

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Key Questions Answered in this Report:

What is the market size of the Automotive Artificial Intelligence Software industry?This report covers the historical market size of the industry (2013-2019), and forecasts for 2020 and the next 5 years. Market size includes the total revenues of companies.

What is the outlook for the Automotive Artificial Intelligence Software industry?This report has over a dozen market forecasts (2020 and the next 5 years) on the industry, including total sales, a number of companies, attractive investment opportunities, operating expenses, and others.

What industry analysis/data exists for the Automotive Artificial Intelligence Software industry?This report covers key segments and sub-segments, key drivers, restraints, opportunities and challenges in the market and how they are expected to impact the Automotive Artificial Intelligence Software industry. Take a look at the table of contents below to see the scope of analysis and data on the industry.

How many companies are in the Automotive Artificial Intelligence Software industry?This report analyzes the historical and forecasted number of companies, locations in the industry, and breaks them down by company size over time. The report also provides company rank against its competitors with respect to revenue, profit comparison, operational efficiency, cost competitiveness, and market capitalization.

What are the financial metrics for the industry?This report covers many financial metrics for the industry including profitability, Market value- chain and key trends impacting every node with reference to companys growth, revenue, return on sales, etc.

What are the most important benchmarks for the Automotive Artificial Intelligence Software industry?Some of the most important benchmarks for the industry include sales growth, productivity (revenue), operating expense breakdown, the span of control, organizational make-up. All of which youll find in this market report.

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Artificial Intelligence (AI) in Advertising Market Report 2020 by Key Players, Types, Applications, Countries, Market Size, Forecast to 2026 (Based on…

The globalArtificial Intelligence (AI) in Advertising Marketis carefully researched in the report while largely concentrating on top players and their business tactics, geographical expansion, market segments, competitive landscape, manufacturing, and pricing and cost structures. Each section of the research study is specially prepared to explore key aspects of the global Artificial Intelligence (AI) in Advertising market. For instance, the market dynamics section digs deep into the drivers, restraints, trends, and opportunities of the global Artificial Intelligence (AI) in Advertising market. With qualitative and quantitative analysis, we help you with thorough and comprehensive research on the global Artificial Intelligence (AI) in Advertising market. We have also focused on SWOT, PESTLE, and Porters Five Forces analyses of the global Artificial Intelligence (AI) in Advertising market.

Leading players of the global Artificial Intelligence (AI) in Advertising market are analyzed taking into account their market share, recent developments, new product launches, partnerships, mergers or acquisitions, and markets served. We also provide an exhaustive analysis of their product portfolios to explore the products and applications they concentrate on when operating in the global Artificial Intelligence (AI) in Advertising market. Furthermore, the report offers two separate market forecasts one for the production side and another for the consumption side of the global Artificial Intelligence (AI) in Advertising market. It also provides useful recommendations for new as well as established players of the global Artificial Intelligence (AI) in Advertising market.

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Major Players: ask for sample

Regions and Countries:U.S, Canada, France, Germany, UK, Italy, Rest of Europe, India, China, Japan, Singapore, South Korea, Australia, Rest of APAC, Brazil, Mexico, Argentina, Rest of LATAM, Saudi Arabia, South Africa, UAE.

Report Objectives

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Table of Contents

Report Overview:It includes major players of the global Artificial Intelligence (AI) in Advertising market covered in the research study, research scope, and Market segments by type, market segments by application, years considered for the research study, and objectives of the report.

Global Growth Trends:This section focuses on industry trends where market drivers and top market trends are shed light upon. It also provides growth rates of key producers operating in the global Artificial Intelligence (AI) in Advertising market. Furthermore, it offers production and capacity analysis where marketing pricing trends, capacity, production, and production value of the global Artificial Intelligence (AI) in Advertising market are discussed.

Market Share by Manufacturers:Here, the report provides details about revenue by manufacturers, production and capacity by manufacturers, price by manufacturers, expansion plans, mergers and acquisitions, and products, market entry dates, distribution, and market areas of key manufacturers.

Market Size by Type:This section concentrates on product type segments where production value market share, price, and production market share by product type are discussed.

Market Size by Application:Besides an overview of the global Artificial Intelligence (AI) in Advertising market by application, it gives a study on the consumption in the global Artificial Intelligence (AI) in Advertising market by application.

Production by Region:Here, the production value growth rate, production growth rate, import and export, and key players of each regional market are provided.

Consumption by Region:This section provides information on the consumption in each regional market studied in the report. The consumption is discussed on the basis of country, application, and product type.

Company Profiles:Almost all leading players of the global Artificial Intelligence (AI) in Advertising market are profiled in this section. The analysts have provided information about their recent developments in the global Artificial Intelligence (AI) in Advertising market, products, revenue, production, business, and company.

Market Forecast by Production:The production and production value forecasts included in this section are for the global Artificial Intelligence (AI) in Advertising market as well as for key regional markets.

Market Forecast by Consumption:The consumption and consumption value forecasts included in this section are for the global Artificial Intelligence (AI) in Advertising market as well as for key regional markets.

Value Chain and Sales Analysis:It deeply analyzes customers, distributors, sales channels, and value chain of the global Artificial Intelligence (AI) in Advertising market.

Key Findings:This section gives a quick look at important findings of the research study.

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Artificial Intelligence (AI) in Advertising Market Report 2020 by Key Players, Types, Applications, Countries, Market Size, Forecast to 2026 (Based on...