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Artificial Intelligence in Healthcare Marketresearch report, comprehensive analysis of the market structure along with forecasts of the various segments and sub-segments of the Healthcare industry can be obtained. The report comprises all the market shares and approaches of key players in the market. It also includes the detailed profiles for the markets major manufacturers and importers who are influencing the market. A range of key factors are analysed in the report, which will help the buyer in studying the Healthcare industry. Competitive landscape analysis is performed based on the prime manufacturers, trends, opportunities, marketing strategies analysis, market effect factor analysis and consumer needs by major regions, types, applications in market considering the past, present and future state of the industry.A market report makes available an ideal window to the industry which explains what market definition, classifications, applications, engagements and market trends are. The report also recognizes and analyses the emerging trends along with major drivers, challenges and opportunities in the Market.

Data Bridge Market Research analyses that theartificial intelligence in healthcare marketis expected to undergo a CAGR of 51.37% during the forecast period of 2022-2029. This indicates that the market value, which was USD 6.35 billion in 2021, would rocket up to USD 175.22 billion by 2029. Patients dominates the end user segment of the artificial intelligence in healthcare market owing to the increasing product launches, availability of the larger patient pool, high resource availability, high penetration of high speed internet and advancements in healthcare technologies. The market report curated by the Data Bridge Market Research team includes in-depth expert analysis, patient epidemiology, pipeline analysis, pricing analysis, and regulatory framework.

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Artificial intelligence in healthcare deals with patient management systems, scheduling and using algorithms to approximate human cognition and analyze relationships between prevention or treatment techniques and outcomes related to patients.

Artificial Intelligence in Healthcare Market Dynamics

Drivers

The rise in the prevalence of disorders

Surging prevalence of chronic and acute disorders and diseases all around the globe owing to various internal and external factors is one of the major factors responsible for fostering growth of the market. Rising patient pool especially in the developing economies is carving the way for the growth of the market.

Research and development proficiencies

Rising expenditure for research and development proficiencies especially in the developed and developing economies pertaining to the medical instruments and devices will further create lucrative market growth opportunities. Research and development proficiencies have led to the advancements in the medical technology and have improved the quality of healthcare facilities.

Government investments on healthcare infrastructure

The increase in the funding by the federal government is set to drive the growth of the market. Moreover, growth and expansion of thehealthcareindustry being driven by both public and private players especially in the developing economies will create lucrative personal health devices market growth opportunities.

Additionally, surge in the personal disposable income level, introduction of technologically driven product in hospitals and increasing investment for the development of advanced, growing demand for robotically assisted surgeries, rising adoption of minimally invasive devices and innovative technology, positively affect the market growth rate.

Opportunities

Furthermore, upsurge in the public-private funding for targetresearchactivities, increasing need for improvised healthcare services owing to imbalance between health workforce and patients and rising product innovations and development owing to technological advancements all around the world will extend profitable opportunities for the market players in the forecast period of 2022 to 2029. Additionally, surging number of strategic collaborations, rising internet penetration rate, growing number of hospitals and laboratories, rising geriatric population base, rising number of cross-industry partnerships and collaborations and increasing per capita expenditure on health care will further expand the markets growth rate in the future.

For More Insights Get Detailed TOC @https://www.databridgemarketresearch.com/toc/?dbmr=global-artificial-intelligence-in-healthcare-market&shrikesh

Restraints/Challenges

On the other hand, high cost associated with the research and development proficiencies, reluctance among medical practitioners to adopt artificial intelligence-based technologies and clinical risks and difficulties related with the medical procedures are expected to obstruct market growth. Also, lack of favourable reimbursement scenario and technology penetration in the developing economies, lack of curated healthcare data, concerns related to data privacy, lack of interoperability and lack of suitable infrastructure in low- and middle-income countries are projected to challenge the market in the forecast period of 2022-2029.

This artificial intelligence in healthcare market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the artificial intelligence in healthcare market contact Data Bridge Market Research for anAnalyst Brief, our team will help you take an informed market decision to achieve market growth.

Covid-19 Impact on Artificial Intelligence in Healthcare Market

Covid-19 has had a positive impact on the market. Covid-19 led to the rise in the adoption of artificial intelligence and machine learning solutions. The pandemic showcased the prowess and sophistication artificial intelligence can bring to the healthcare sector and completely revolutionize the industry. The influx of patients in the hospitals led to the increasing adoption and application of robotically assisted medical surgeries, artificial intelligence based virtual assistants, inpatient care bots and much more.

Recent developments

In January 2019, Dartford and Gravesham NHS Trust in the United Kingdom came up with an AI-powered wearable technology for patient monitoring when they are discharged from the hospitals.

In October 2019, care.ai and NVIDIA announced a collaboration to provide an artificial intelligence-powered autonomous patient monitoring in healthcare leveraging NVIDIAS platform.

In March 2020, care.ai formed a partnership with the Texas Hospital Association (THA) for creating statewide adoption of AI for autonomous monitoring.

Global Artificial Intelligence in Healthcare Market Scope

The artificial intelligence in healthcare market is segmented on the basis of offering, technology, application and end user. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Offering

Hardware

Software

Services

Based on offering, the artificial intelligence in healthcare market is segmented into hardware, software and services. Hardware has further been segmented into processor, memory and network. Processor is further sub-segmented into memory processing unit, graphical processing unit, field programmable gate array and ASIC. Software has further been segmented into AI solutions and AI platform. AI solutions are further sub-segmented into on-premises and cloud. AI platform are further sub-segmented into machine learning framework and application program interface (API). Services have further been segmented into deployment and integration and support and maintenance.

Technology

Machine Learning

Natural Language Processing

Context- Aware Computing

Computer Vision

On the basis of technology, the artificial intelligence in healthcare market is segmented intomachine learning, natural language processing, context- aware computing and computer vision. Machine learning is further been segmented into deep learning, supervised learning, reinforcement learning, unsupervised learning and others.

Application

Robot-assisted Surgery

Virtual Assistants

Administrative Workflow Assistants

Connected Machines

Diagnosis

Clinical Trials

Fraud Detection

Cyber security

Dosage Error Reduction

On the basis of application, the artificial intelligence in healthcare market is segmented into robot-assisted surgery, virtual assistants, administrative workflow assistants, connected machines, diagnosis, clinical trials, fraud detection,cyber securityand dosage error reduction.

End user

Patients

Pharmaceuticals and Biotechnology Companies

Healthcare Payers

Others

The end user segment of artificial intelligence in healthcare market is segmented into patients, pharmaceuticals and biotechnology companies, healthcare payers and others.

Artificial Intelligence in Healthcare Market Regional Analysis/Insights

The artificial intelligence in healthcare market is analysed and market size insights and trends are provided by country, offering, technology, application and end user as referenced above.

The countries covered in the artificial intelligence in healthcare market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.

North America dominates the artificial intelligence in healthcare market because of the strong base of healthcare facilities, rising investment from key players in the growth of the advanced devices, high adoption rate of minimally invasive procedures, availability of reimbursements, rising geriatric population, high healthcare spending combined with the onset of Covid-19 pandemic and rising number of research activities in this region.

Asia-Pacific is expected to witness significant growth during the forecast period of 2022 to 2029 due to the increase in government initiatives to promote awareness, rise in medical tourism, growing research activities in the region, ever-rising geriatric population base and the growing demand for quality healthcare in the region.

The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porters five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.

Healthcare Infrastructure growth Installed base and New Technology Penetration

The artificial intelligence in healthcare market also provides you with detailed market analysis for every country growth in healthcare expenditure for capital equipment, installed base of different kind of products for artificial intelligence in healthcare market, impact of technology using life line curves and changes in healthcare regulatory scenarios and their impact on the artificial intelligence in healthcare market. The data is available for historic period 2010-2020.

Competitive Landscape and Artificial Intelligence in Healthcare Market Share Analysis

The artificial intelligence in healthcare market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies focus related to artificial intelligence in healthcare market.

Some of the major players operating in the artificial intelligence in healthcare market are NVIDIA Corporation (US), Intel Corporation (US), IBM (US), Google LLC (US), Microsoft (US), General Vision Inc. (US), Johnson & Johnson Services, Inc. (US), Siemens Healthcare GmbH (Germany), Medtronic (Ireland), CloudMedx Inc. (US), Agfa-Gevaert Group (Belgium), Oncora Medical (US), Imagia Cybernetics Inc. (Canada), Micron Technology, Inc. (US), DeepMind Technologies Limited (UK), Welcome AI (US), Koninklijke Philips N.V. (Netherlands), GENERAL ELECTRIC COMPANY (US), Precision Health AI (US), and Cloud Pharmaceuticals, Inc., (US) among others.

Report Coverage:

Vendor ProfilesVendor AssessmentStrategiesTechnology AssessmentProduct MappingIndustry OutlookEconomic AnalysisSegmental AnalysisMarket SizeAnalysis Tables

This Market Research Report Highlights:

Assessment of the marketPremium InsightsCompetitive LandscapeCOVID Impact AnalysisHistoric Data, Estimates and ForecastCompany ProfilesGlobal and Regional Dynamics

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Artificial Intelligence in Healthcare Market : Industry Growth, Competitive Analysis, Future Prospects and Forecast Designer Women - Designer Women

"How do we want to be remembered in history? As simple consumers? Or as transformers of our potential and resources?" With this question, Kate Fotso, the boss of Cameroon's Telcar Cocoa, sums up the challenge that Africa must take up to build its economic independence. This debate, at the heart of the Africa CEO Forum held in Abidjan, was discussed during a round table on 13 June.

The starting point is clear: Africas dependence on the outside world is greater than that of other continents, with 84% of its trade being with the rest of the world. It is no coincidence that Africa, the continent that trades the least internally, is also the poorest, pointed out Ghanas President Nana Akufo-Addo, seeing the development of the African Continental Free Trade Area (AfCFTA) as the only way out for African countries.

A few moments earlier, at the opening ceremony, Cte dIvoires President Alassane Ouattara said much the same thing. The current crisis has revealed the vulnerabilities [of globalisation] and marks a calling into question of international trade. This is very disturbing for developing countries, the Ivorian head of state warned.

In a difficult context linked to the consequences of the pandemic and the war in Ukraine, Makhtar Diop, managing director of the International Finance Corporation, the World Banks private-sector arm, insisted on the need to accelerate cooperation between public and private actors via targeted discussions, highlighting three priority sectors: fintech, food and housing.

Two other tools were highlighted. Nigerias vice-president Yemi Osinbajo called for an overhaul of global taxation, particularly for multinationals, to make it more favourable to the continent. The governor of the central bank of Kenya, Patrick Ngugi Njoroge, reminded the audience of the urgent need to invest in human capital, given that some of the jobs of the future have yet to be invented.

While the continent has not been able to take party fulling in the latest revolutions and industrial innovations, including nuclear power, Karim Beguir, the head of the Tunisian start-up Instadeep, stressed that with artificial intelligence, it will have every chance, as technologies and know-how are freely available. All it takes is motivated people to train to bring out African talent, he added.

Understand Africa's tomorrow... today

We believe that Africa is poorly represented, and badly under-estimated. Beyond the vast opportunity manifest in African markets, we highlight people who make a difference; leaders turning the tide, youth driving change, and an indefatigable business community. That is what we believe will change the continent, and that is what we report on. With hard-hitting investigations, innovative analysis and deep dives into countries and sectors, The Africa Report delivers the insight you need.

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Africa CEO Forum: Artificial intelligence, taxation, AfCFTA the tools of independence - The Africa Report

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WADA investigating using artificial intelligence to carry out drugs testing, but lack of resources hampering efforts - Insidethegames.biz

Quantum Computing Inc.

QAmplify Maximizes End-User Investment in Quantum Computing

LEESBURG, Va., June 07, 2022 (GLOBE NEWSWIRE) -- Quantum Computing Inc. (QCI'' or the Company) (NASDAQ: QUBT), a leader in accessible quantum computing, today unveiled QAmplify, a suite of quantum software technologies that expands the processing power of any current quantum computer by as much as 20x. QAmplify is capable of supercharging any quantum computer to solve real-world realistic business problems today. The Company is actively working with customers and partners in scaling the amplification capabilities of its ready-to-run Qatalyst software, which is designed to eliminate the need for complex quantum programming and runs seamlessly across a variety of quantum computers. QCI has filed for patents on QAmplify technology.

Currently there are two primary technology approaches that deliver a wide range of capabilities spanning the current Quantum Processing Unit (QPU) hardware landscape; gate model (e.g. IBM, IonQ, Rigetti, OQC, etc.) and annealing (e.g. D-Wave) quantum computers. Both are limited in the size of problems (i.e., number of variables and complexity of computations) they can process. For example, gate models can typically process from 10-120 data variables, and annealing machines can process approximately 400 variables in a simple problem set. These small problem sets restrict the size of the problems that can be solved by todays QPUs, limiting businesses ability to explore the value of quantum computing.

QCIs patent-pending QAmplify suite of powerful QPU-expansion software technologies overcomes these challenges, dramatically increasing the problem set size that each can process. The QAmplify gate model expansions demonstrated capabilities have been benchmarked at a 500% (5x) increase and the annealing expansion has been benchmarked at up to a 2,000% (20x) increase.

QAmplify maximizes end-user investment in current QPUs by allowing quantum users to transform from science experiments to solving real-world problems without waiting for the quantum hardware industry to catch up. For example, in terms of real-world applications, this means that an IBM quantum computer with QAmplify could solve a problem with over 600 variables, versus the current limit of 127 variables. A D-Wave annealing computer with QAmplify could solve an optimization with over 4,000 variables, versus the current limit of 200 for a dense matrix problem set.

Story continues

It is central to QCIs mission to deliver practical and sustainable value to the quantum computing industry, said William McGann, Chief Operating and Technology Officer of QCI. QCIs innovative software solutions deliver expansive compute capabilities for todays state-of-the-art QPU systems and offer great future scalability as those technologies continually advance. The use of our QAmplify algorithm in the 2021 BMW Group Quantum Computing Challenge for vehicle sensor optimization provided proof of performance by expanding the effective capability of the annealer by 20-fold, to 2,888 qubits.

To learn more about QCI and how Qatalyst can deliver results for your business today, visit http://www.quantumcomputinginc.com.

About Quantum Computing Inc.Quantum Computing Inc. (QCI) (NASDAQ: QUBT) is a full-spectrum quantum software and hardware company on a mission to accelerate the value of quantum computing for real-world business solutions. The company recently announced its intent to acquire QPhoton, a quantum photonics innovation company that has developed a series of quantum photonic systems (QPS). The combination of QCIs flagship ready-to-run software product, Qatalyst, with QPhotons QPS, sets QCI on a path to delivering a broadly accessible and affordable full-stack quantum solution that can be used by non-quantum experts, anywhere, for real-world industry applications. QCIs expert team in finance, computing, security, mathematics and physics has over a century of experience with complex technologies; from leading edge supercomputing, to massively parallel programming, to the security that protects nations. Connect with QCI on LinkedIn and @QciQuantum on Twitter. For more information about QCI, visit http://www.quantumcomputinginc.com.

Important Cautions Regarding Forward-Looking StatementsThis press release contains forward-looking statements as defined within Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. By their nature, forward-looking statements and forecasts involve risks and uncertainties because they relate to events and depend on circumstances that will occur in the near future. Those statements include statements regarding the intent, belief or current expectations of Quantum Computing Inc. (the Company), and members of its management as well as the assumptions on which such statements are based. Prospective investors are cautioned that any such forward-looking statements are not guarantees of future performance and involve risks and uncertainties, and that actual results may differ materially from those contemplated by such forward-looking statements.

Statements in this press release that are not descriptions of historical facts are forward-looking statements relating to future events, and as such all forward-looking statements are made pursuant to the Securities Litigation Reform Act of 1995. Statements may contain certain forward-looking statements pertaining to future anticipated or projected plans, performance and developments, as well as other statements relating to future operations and results. Any statements in this press release that are not statements of historical fact may be considered to be forward-looking statements. Words such as "may," "will," "expect," "believe," "anticipate," "estimate," "intends," "goal," "objective," "seek," "attempt," aim to, or variations of these or similar words, identify forward-looking statements. Such statements include statements regarding the Companys ability to consummate its planned acquisition of QPhoton, the anticipated benefits of such acquisition, and the Companys ability to successfully develop, market and sell its products. Factors that could cause actual results to differ materially from those in the forward-looking statements contained in this press release include, but are not limited to, the parties potential inability to consummate the proposed transaction, including as a result of a failure to satisfy closing conditions to the proposed transactions; risks that QPhoton will not be integrated successfully; failure to realize anticipated benefits of the combined operations; potential litigation relating to the proposed transaction and disruptions from the proposed transaction that could harm the Companys or QPhotons business; ability to retain key personnel; the potential impact of announcement or consummation of the proposed transaction on relationships with third parties, including customers, employees and competitors; conditions in the capital markets; and those risks described in Item 1A in the Companys Annual Report on Form 10-K for the year ended December 31, 2021, which is expressly incorporated herein by reference, and other factors as may periodically be described in the Companys filings with the SEC. The Company undertakes no obligation to update or revise forward-looking statements to reflect changed conditions.

Qatalyst is the trademark of Quantum Computing Inc. All other trademarks are the property of their respective owners.

Company Contact:Robert Liscouski, CEOQuantum Computing, Inc.+1 (703) 436-2161Email Contact

Investor Relations Contact:Ron Both or Grant StudeCMA Investor Relations+1 (949) 432-7566Email Contact

Media Relations Contact:Seth MenackerFusion Public Relations+1 (201) 638-7561qci@fusionpr.com

Continued here:
Quantum Computing Inc. Unveils Software Breakthrough That Amplifies Quantum Computer Processing Power By Up to 20x - Yahoo Finance

RSA CONFERENCE 2022 Even the most future-facing panels at this year's RSA Conference are grounded in the lessons of the past. At the post-quantum cryptography keynote "Wells Fargo PQC Program: The Five Ws," the moderator evoked the upheaval from RSAC 1999 when a team from Electronic Frontier Foundation and Distributed.net broke the Data Encryption Standard (DES) in less than a day.

"We're trying to avoid the scramble" when classical cryptography techniques like elliptic curve and the RSA algorithm inevitably fall to quantum decrypting, said Sam Phillips, chief architect for information security architecture at Wells Fargo. And he set up the high stakes encryption battles often have: "Where were all the DES implemented? Hint: ATM machines."

"We had to set up teams to see where all we were using[was DES] and then establish the migration plan based upon using a risk-based approach," Phillips said. "We're trying to avoid that by really trying to get ahead of the game and do some planning in this case."

Phillips was joined on stage by Dale Miller, chief architect of information security architecture at Wells Fargo, and Richard Toohey, technology analyst at Wells Fargo.

Toohey, a doctoral candidate at Cornell University, handled most of the technical aspects of quantum computing during the panel.

"For most problems, if you have a quantum calculator and a regular calculator, they can add numbers just as well," he explained. "There's a very small subset of problems that are classically very hard, but for a quantum computer, they can solve [them] very efficiently."

These problems are called np-hard problems.

"A lot of cryptography, specifically in asymmetric cryptography, relies on these np-hard type problems things like elliptic curve cryptography, the RSA algorithm, famously and when quantum computers are developed enough, they'll be able to brute-force their way through these," Toohey explained. "So that breaks a lot of our modern classical cryptography."

The reason why we don't have crypto-breaking quantum computers today, despite headline-making offerings from IBM and others, is because the technology to reach that level of power has not been accomplished yet.

"To become a cryptographically relevant quantum computer, a quantum computer needs to have about 1 to 10 million logical qubits, and those logical qubits all need to be made up of about 1,000 physical qubits," Toohey said. "Today, right now, the largest quantum computers are somewhere around 120 physical qubits."

He estimated that to even muster the first logical qubit will take three years, and from there it has to scale up to "a million or so logical qubits. So it's still quite a few years away."

Another technical challenge that needs solving before we get these powerful quantum computers is the cooling systems they require.

"Qubits are incredibly sensitive; most of them have to be held at very low, cryogenic temperatures," Toohey explained. "So because of that, quantum computing architecture is incredibly expensive right now."

Other problems include decoherence and error correction. The panel agreed that the combination of these issues means crypto-cracking quantum computers are eight to10 years away. But that doesn't mean we have a decade to address PQC.

The panel was named for the journalistic model of five questions that start with the letter "w," but that didn't come up until late in the audience Q&A portion.

"Sam was asking the what, the who, the why, the where, and the when," Miller said. "So I think we've covered that in our conversations here."

Most of the titular questions were somewhat vague and a matter of judgment. However, on the concept of when you should start planning for the post-quantum future, there was complete agreement: Now.

"You've got to start the process now, and you have to move yourself forward so that you are ready when a quantum computer comes along," Miller said.

Phillips concurred.

"There is not right now a quantum computer that is commercially viable, but the amount of money and effort going into the work is there to move it forward, because people recognize the benefits that are there, and we are recognizing the risk," he said. "We feel that it's an eventuality, that we don't know the exact time, and we don't know when it'll happen."

Toohey suggested beginning preparations with a crypto inventory again, now.

"Discover where you have instances of certain algorithms or certain types of cryptography, because how many people were using Log4j and had no idea because it was buried so deep?" he said. "That's a big ask, to know every type of cryptography used throughout your business with all your third parties that's not trivial. That's a lot of work, and that's going to need to be started now."

Wells Fargo has a goal to beready to run post-quantum cryptography in five uears, which Miller described as"a very aggressive goal."

"So the time to start is now," he said,"and that's one of the most important takeaways from this get-together."

Pivoting is a key marker of agility for the panel, and agility is vital for being able to react to not just quantum threats, but whatever comes next.

"The goal here should be crypto agility, where you're able to modify your algorithms fairly quickly across your enterprise and be able to counter a quantum-based attack," Miller said. "And I'm really not thinking on a day-to-day basis about when is the quantum computer going to get here. For us, it's more about laying a path and a track for quantum resiliency for the organization."

Toomey agreed about the importance of agility.

"Whether it's a quantum computer or new developments in classical computing, we don't want to be put in a position where it takes us 10 years to do any kind of cryptographic transition," he said. "We want to be able to pivot and adapt to the market as new threats come out."

Because there will be computers that can break current cryptography techniques, organizations do need to develop new encryption methods that stand up to quantum brute-force attacks. But that's only the half of it.

"Don't just focus on the algorithms," Phillips said. "Start looking at your data. What data are you transiting back and forth? And look at devaluing that data. Where do you need to have that confidential information, and what can you do to remove that from the exposure? It will help a lot not only in the crypto efforts, but in terms of who has access to the data and why they have to have access."

One open question loomed over the discussion: When would NIST announce its picks for the new standards to develop for post-quantum cryptography? The answer: Not yet. But the uncertainty is no cause for inaction, Miller said.

"So NIST will continue to work with other vendors and other companies and research groups to look at algorithms that are further out there," he said. "Our job is to be able to allow those algorithms to come into place quickly, in a very orderly manner, without disrupting business or breaking your business processes and [to] be able to keep things moving along."

Phillips agreed. "That's one of the reasons for pushing on plug and play," he said. "Because we know that the first set of algorithms that come out may not satisfy the long-term need, and we don't want to keep jumping through these hoops every time somebody goes through it."

Toohey tied the standards question back into the concept of preparing now.

"That way, when NIST finally finishes publishing their recommendations, and standards get developed in the coming years, we're ready as an industry to be able to take that and tackle it," he said."That's going back to crypto agility and this mindset that we need to be able to plug and play. We need to be able to pivot as an industry very quickly to new and developing threats."

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Now Is the Time to Plan for Post-Quantum Cryptography - DARKReading