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How Cloud Computing is Driving the Industrial Revolution 4.0 – Elets

January 13, 2020 | Author: admin

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Industry reports around the world believe that Cloud technology is a critical enabler of the Industrial Revolution 4.0. As the new Industry Revolution starts the ignition, cloud computing is effectively supporting the developments on the Internet of Things (IoT), automation and robotics. On the basis of experts opinion and latest researches, Rashi Aditi Ghosh of Elets News Network (ENN) explores how embracing the cloud can help the processes in banking and financial industry operate more efficiently and rise above the competition.

Unfolding Industrial Revolution 4.0

The original Industrial Revolution that occurred around the eighteenth century completely changed the world we live by connecting the energy of water and steam to power machines that helped the workers in producing goods much more swiftly.

The second Industrial Revolution began with the rise of mass production lines. By the time information technology could begin to automate production in the twentieth century, the third Industrial Revolution had come into motion.

Now, the fourth Industrial Revolution has arrived, all thanks to the massive developments pertaining to the Internet of Things (IoT), automation and Artificial Intelligence. These technologies, along with big data and analytics, comprise the key elements behind the onset of the new industrial revolution, popularly known as Industry 4.0.

The new revolution is driving massive developments across several sectors and the Banking, Financial Services and Insurance (BFSI), in particular, witnessed several major changes.

In the financial services sector, automation is used to deal with an ever- increasing volume of data, whether for customer service or shifting focus to areas such as security and risk.

Role of Cloud Computing in Boosting Industrial Revolution 4.0

No matter which segment of the industry you are associated with, cloud technology is playing the part of a critical enabler boosting the next Industrial Revolution, by offering the means for businesses to innovate around these technologies.

According to an Oracle report titled Cloud: opening up the road to Industry 4.0, out of the 1,200 technology decision- makers surveyed across EMEA in midsize and large companies, 60 percent talked in favour of an integrated cloud approach and said that it will unlock the potential of disruptive technologies, such as robotics and artificial intelligence.

Experts believe that no matter what industry youre in, cloud technology is definitely a critical enabler of the next Industrial Revolution, by offering the means for businesses to innovate.

The true potential of cloud in support of the fourth Industrial Revolution can only be determined via the integration of compute services with a cloud platform. By tapping into the strength of compute services, cloud platforms support innovative and disruptive applications.

Why Cloud Computing in Significant for Indian BFSI Sector?

Whether we agree or we dont, there is a big shift to the cloud which is happening.

Research from the Harvard Business Review Analytic Services reveals that 74 percent of businesses believe cloud computing has given them a competitive advantage. Further research reveals that 60 percent of technology decision-makers believe an integrated cloud approach will unlock the potential of disruptive technologies.

According to IDC, by 2022, though traditional softwares, will also grow but it will grow just at a rate of 11 percent. Whereas cloud infrastructure and cloud-based applications will grow at a whopping percentage of 150 plus, but it will have its own challenges, says Gulshan Chhabra, Country Manager, Snow Software Further, India is most likely to lead the world in hybrid cloud usage and adoption in the coming years, according to a study by enterprise cloud computing firm, Nutanix. The adoption of hybrid cloud workloads in India will be more than triple from 13 percent in 2018 to 43 percent in the coming 24 months.

Diwakar Nigam, Managing Director, Newgen Software believes that the banking sector has always been at the forefront of cloud adoption. And the reason behind this adoption is the advantages like scalability, lower capital costs, ease of operations and resilience.

Cloud computing has undoubtedly added new dimensions to the way businesses go about their daily chores. Organisations need to harness the power of a low-code platform through a flexible and scalable and agile model. Cloud deployment has addressed these requirements by creating new avenues for cost-effective software delivery and development. Our cloud-ready products are available on private and public clouds and extend support for hybrid models. The Cloud/SaaS business continues to be Newgens fastest-growing revenue component at a 5 year CAGR of 127 percent, says Nigam.

According to an industry report, businesses around the world are taking optimum advantage of the benefits that cloud technology brings to them. As a matter of fact, the global market for cloud computing is expected to grow from $272 billion in 2018 to $623 billion by 2023.

NASSCOM reports that the cloud market in India is also expanding quickly and expected to grow to $7.1 billion by 2022. The financial services industry, is rapidly adopting cloud technology. The disruptive wave of digital transformation that is transforming the financial services segment and it is drawing a lot of its power from the cloud.

Research from the Harvard Business Review Analytic Services reveals that 74 percent of businesses believe cloud computing has given them a competitive advantage. Further research reveals that 60 percent of technology decision-makers believe an integrated cloud approach will unlock the potential of disruptive technologies.

Talking about the relevance of cloud computing in terms of the Banking, Financial Services and Insurance (BFSI) sector, T V Ramanmurthy, General Manager IT, Bank of Maharashtra, said, Before implementation of cloud computing in the BFSI sector, it is important to accept the relevance of the technology first. In 2017, when BHIM and Unified Payments Interface were implemented National Payments Corporation of India (NPCI) took six months to realise the vitality of cloud technology in the implementation of the above-mentioned interfaces.

Explaining about the implementation of cloud services further, Zulkernain Kanjariwala Head IT, Doha Bank said, Each and every financial institution in India has its own perception pertaining to leveraging cloud technology in their institution completely. In reference to the current level of digitisation in the country, it is evident to make use of tech-driven initiatives and cloud is definitely going to play a major role in the transformation.

Benefits of Cloud Computing in Banking and Finance Sector:

While cloud computing and its rising significance has touched all the major industries around the world, financial institution, in particular, have great benefits associated with this technology. Ranging from cost-effectiveness, reliability, flexibility and many more, cloud computing offers an answer to all the major queries of the banking and financial institutions.

Cost-effective:

Cloud computing helps the bankers and financial institution in saving their capital expenditure engaged in establishing IT infrastructure for meeting several IT needs. A major chunk of capital expenditure is transformed into comparatively nominal operating expenses with the application of cloud. This allows banks and financial institutions to emphasise on core banking functions.

Reliability:

The cloud infrastructure scores high in terms of reliability. By choosing private or hybrid cloud model, it becomes possible for the banks to secure their data while exploring the speed and flexibility of the cloud. In the case of public clouds also the data gets encrypted and several other layers of security like permission-based access can be added to further boost the level of security.

Flexibility:

The most important reason behind accounting for the reputation of cloud is its pay-as-you-use model of billing. This signifies that the user is only required to pay for the services used. Banks and other financial service providers can conveniently manage the rise in demand without making extra investment in expensive in-house computing source, much of which would go unutilised under non-critical conditions. In case of cloud, it becomes easier to pivot from one application to another making it a flexible choice.

Leading Applications of Cloud in BFSI:

Cloud computing is there in the picture since the 1960s. However, the pivotal innovations started only post the launch of Amazon Web Services (AWS) in 2002. Now there are several other web applications that are delivered via cloud computing. Some applications of cloud computing in banking and finance segment are as follows:

Hosting:

In a bid to ensure secure transactions and efficient customer experience, banks require cent percent uptime. In-house IT systems entail periodic maintenance after which it becomes hard to offer continued service. In these circumstances, Cloud, can provide 99.999 percent uptime by offering server availability even at the time of maintenance. Hosting of mobile and web apps also ensures better speed to the users.

Payment Gateway:

Major lenders have already deployed cloud computing for initiating payments and funds transfer. Cloud offers security and unified customer experience. It is also important to note that the uptime offered by cloud also ensures that payments are processed securely from without any discrepancies.

ERPs and CRMs:

Enterprise Resource Planning (ERP) and Customer Relationship (CRM) software are the most go to (popular) applications provided by the cloud. Accounting for 50 percent of total usage, Software as a Service (SaaS) is one of the most in demand methods used for leveraging cloud computing. It helps the vendor in controlling the application and provides better support. For users, it permits remote access and easy installation.

Conclusion

While most of the experts opine that the cloud computing can transformation across the banking and financial sector and offer support to the industrial revolution 4.0, however, it is significant to implement this technology keeping security, Regulatory and compliance and business alignment in mind. Experts across the sector also believe that the cloud-based services should be deployed only through leading and trusted cloud services providers should be chosen.

The advantages of todays cloud technology can go beyond reliability, scalability and storage (and the associated cost savings) within Industry 4.0.

The Banking & Finance Post is an initiative of Elets Technomedia Pvt Ltd, existing since 2003.Now, Elets' YouTube channel, a treasure of premier innovation-oriented knowledge-conferences and awards, is also active. To Subscribe Free, Click Here.

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Chess grandmaster: AI wont cause the downfall of mankind – Fox Business

January 12, 2020 | Author: admin

Renew Democracy Initiative chairman, chess grandmaster and political activist Garry Kasparov discusses losing a chess match to a computer and the implications AI has for the future.

The man widely considered to be one of the greatest chess players of all time said humans shouldnt fear artificial intelligence.

Garry Kasparov told FOX Business' Gerry Baker on "WSJ at Large," those who are warning AI will replace us are just wrong.

CHESS GRANDMASTER BECOMES NO. 1 FANTASY SOCCER PLAYER OUT OF MILLIONS

Im really concerned aboutthe doomsayers, all these doomsayers that are trying to terrorize our minds, he said. And maybe we should stop watching too many Hollywood movies because the future is for our making.

"Im arguing that we have to work with machines, and theres the endless opportunities that will actually bring more benefits than problems, as its happened many times before.

Kasparov should know about the power of AI.His defeat in 1997 by the IBM computer, Deep Blue, is considered the major turning point in the argument over whether machines could ever outthink humans.

My experience [is]fighting machines, he said.But now, Im arguing that we have to work with machines, and theres the endless opportunities that will actually bring more benefits than problems, as its happened many times before.

Kasparov is author of the book, Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins, based on what he learned from his battle with Deep Blue. And he believes that while AI will be disruptive to the workforce, that wont spell gloom and doom for employees.

Grandmaster chess player Garry Kasparov taps the clock after a move in a match against grandmaster Fabiano Caruana on Aug. 18, 2017. (BILL GREENBLATT/AFP via Getty Images)

The machines always helped us, he points out. Yes, they always create problems. Obviously many industries are just, you know, facing their end, but jobs do not disappear. They evolve.

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But to what level of purely human achievement can computers actually reach? Kasparov isnt sure, but even so, hes betting on mankind to come out on top.

The Russian essayist and activist Garry Kasparov at the Excelsior Hotel in Rome. Rome, May 20, 2016 (Photo by Mondadori via Getty Images)

"Maybe we should stop watching too many Hollywood movies because the future is for our making.

Machines could do many, many, many things, he admits. We dont know their limits, but I think its what we should, you know, consider that our imagination, our dreams will not be limited.

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Hundreds of Canadian transplant patients crowd fund to cover costs, study says – National Post

January 12, 2020 | Author: admin

For a Victoria, B.C., woman suffering from end-stage liver disease, there was some good news: she had been deemed a candidate to undergo transplantation.

The bad news? When an organ became available, the patient and her spouse would have to pay for a three-month stay near the transplant centre in Vancouver, one of Canadas most expensive cities.

So she set up a crowd-funding page, aiming to raise $10,000 and relieve this stressful financial situation for my husband and myself.

The woman, who eventually got her new kidney and raised $6,100 was not alone.

Soliciting money for medical needs on the internet may seem like a quintessentially American phenomenon, unnecessary in a country like Canada that boasts a universal, government-paid health care system.

But hundreds of Canadians have launched crowd-funding campaigns in recent years to support their organ transplants, asking for help financing drugs, transportation and lost income and raising thorny ethical questions, a new study indicates.

The more than 400 kidney and liver campaigns on gofundme.com alone underline the financial burden thats imposed on transplant recipients and not covered by medicare, note the researchers from Torontos SickKids Hospital.

I have been able to recover completely with a great amount of help from each of you

Whats more, the informal web-based system for raising money to cover those costs produces unequal results, often unrelated to medical need, they conclude.

People requiring a new liver earned much more than those awaiting kidney transplants, while children did better than adults, the studys authors found.

To win donors sympathy, campaign recipients were painted as morally worthy of donation victims of medical bad luck rather than poor personal behaviour and much-loved pillars of their community, notes the paper in the journal PLOS One.

This, of course, problematically presumes that some individuals are more worthy of medical care than others, violating norms of treating medical care as an entitlement and human right, the authors say. It is ethically problematic to shift to a system of distribution that awards individuals according to perceived moral worthiness or socioeconomic advantage.

The paper also noted that crowdfunding patients often must sacrifice considerable privacy, revealing personal medical and financial information to bolster their pitch, sometimes at the urging of funding websites.

The study was prompted by what seemed to be an increasing trend toward such campaigns, mostly launched by transplant patients family and friends, said Samantha Anthony, a SickKids scientist and social worker.

It is ethically problematic to shift to a system of distribution that awards individuals according to perceived moral worthiness or socioeconomic advantage

The research, led by Anthony, wasnt meant to pass judgment on the phenomenon, just highlight some of the issues around it, she said in an email interview. As to whether government should cover the costs the campaigns try to finance, thats a complex question and up to society to decide how to distribute scarce resources, Anthony said.

The authors looked at kidney and liver transplant patients who had used GoFundMe. They found 258 kidney cases and 171 liver patients.

For reasons that were not clear, liver patients received more and bigger donations on average and more Facebook shares than those waiting for a new kidney, the study found.

The campaigns were varied, but all underscored the personal ordeal that comes with such severe illness.

They included one that was for an eight-year-old Alberta girl suffering acute liver and heart failure due to a rare cardiac condition. Her family asked for help to pay for transportation, accommodations, food, lost wages (and) enrichment items for the patient. They raised $21,040 of a $35,000 goal, the girl receiving a potentially life-saving heart transplant a year later.

A Charlottetown woman with kidney failure managed to raise $3,311 to pay for medical bills, food, accommodation, loss of wages and other related costs to undergo a transplant in Halifax, and help others who were part of a chain organ-donation process.

Most asked for money to cover the costs of attending a hospital outside of where they lived, lost income and medication not reimbursed by medicare or private insurance.

One suggested that drugs could cost $5,000 a month. Another patient said a hospital social worker had suggested she start fundraising, warning the procedure would leave her out of pocket $10,000.

In an effort to boost the patients perceived worthiness, the study said, about a third of campaigners described the recipient as an amazing person, caring, loveable, or kind.

But relatively few of the crowd-funding requests criticized the health care system for allowing patients to face financial risk. Thats concerning, the authors argue.

It encourages the public to view crowd funding as a solution to the needs of Canadians in need of kidney and liver transplants, they say. By generally ignoring the systemic causes of these needs and demonstrating discrete cases where Canadians are meeting these needs via crowd funding, donors may be less likely to view the health system as in need of reform.

For patients like the Victoria woman, who announced last July she was closing her GoFundMe page, there is mostly just gratitude to donors.

I have been able to recover completely with a great amount of help from each of you, she wrote.

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Were approaching the limits of computer power we need new programmers now – The Guardian

January 12, 2020 | Author: admin

Way back in the 1960s, Gordon Moore, the co-founder of Intel, observed that the number of transistors that could be fitted on a silicon chip was doubling every two years. Since the transistor count is related to processing power, that meant that computing power was effectively doubling every two years. Thus was born Moores law, which for most people working in the computer industry or at any rate those younger than 40 has provided the kind of bedrock certainty that Newtons laws of motion did for mechanical engineers.

There is, however, one difference. Moores law is just a statement of an empirical correlation observed over a particular period in history and we are reaching the limits of its application. In 2010, Moore himself predicted that the laws of physics would call a halt to the exponential increases. In terms of size of transistor, he said, you can see that were approaching the size of atoms, which is a fundamental barrier, but itll be two or three generations before we get that far but thats as far out as weve ever been able to see. We have another 10 to 20 years before we reach a fundamental limit.

Weve now reached 2020 and so the certainty that we will always have sufficiently powerful computing hardware for our expanding needs is beginning to look complacent. Since this has been obvious for decades to those in the business, theres been lots of research into ingenious ways of packing more computing power into machines, for example using multi-core architectures in which a CPU has two or more separate processing units called cores in the hope of postponing the awful day when the silicon chip finally runs out of road. (The new Apple Mac Pro, for example, is powered by a 28-core Intel Xeon processor.) And of course there is also a good deal of frenzied research into quantum computing, which could, in principle, be an epochal development.

But computing involves a combination of hardware and software and one of the predictable consequences of Moores law is that it made programmers lazier. Writing software is a craft and some people are better at it than others. They write code that is more elegant and, more importantly, leaner, so that it executes faster. In the early days, when the hardware was relatively primitive, craftsmanship really mattered. When Bill Gates was a lad, for example, he wrote a Basic interpreter for one of the earliest microcomputers, the TRS-80. Because the machine had only a tiny read-only memory, Gates had to fit it into just 16 kilobytes. He wrote it in assembly language to increase efficiency and save space; theres a legend that for years afterwards he could recite the entire program by heart.

There are thousands of stories like this from the early days of computing. But as Moores law took hold, the need to write lean, parsimonious code gradually disappeared and incentives changed. Programming became industrialised as software engineering. The construction of sprawling software ecosystems such as operating systems and commercial applications required large teams of developers; these then spawned associated bureaucracies of project managers and executives. Large software projects morphed into the kind of death march memorably chronicled in Fred Brookss celebrated book, The Mythical Man-Month, which was published in 1975 and has never been out of print, for the very good reason that its still relevant. And in the process, software became bloated and often inefficient.

But this didnt matter because the hardware was always delivering the computing power that concealed the bloatware problem. Conscientious programmers were often infuriated by this. The only consequence of the powerful hardware I see, wrote one, is that programmers write more and more bloated software on it. They become lazier, because the hardware is fast they do not try to learn algorithms nor to optimise their code this is crazy!

It is. In a lecture in 1997, Nathan Myhrvold, who was once Bill Gatess chief technology officer, set out his Four Laws of Software. 1: software is like a gas it expands to fill its container. 2: software grows until it is limited by Moores law. 3: software growth makes Moores law possible people buy new hardware because the software requires it. And, finally, 4: software is only limited by human ambition and expectation.

As Moores law reaches the end of its dominion, Myhrvolds laws suggest that we basically have only two options. Either we moderate our ambitions or we go back to writing leaner, more efficient code. In other words, back to the future.

What just happened?Writer and researcher Dan Wang has a remarkable review of the year in technology on his blog, including an informed, detached perspective on the prospects for Chinese domination of new tech.

Algorithm says noTheres a provocative essay by Cory Doctorow on the LA Review of Books blog on the innate conservatism of machine-learning.

Fall of the big beastsHow to lose a monopoly: Microsoft, IBM and antitrust is a terrific long-view essay about company survival and change by Benedict Evans on his blog.

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Is Quantum Technology The Future Of The World? – The Coin Republic

January 12, 2020 | Author: admin

Steve Anderrson Saturday, 11 January 2020, 04:58 EST Modified date: Saturday, 11 January 2020, 04:58 EST

At a glance, the quantum volume is a measure of the complexity of a problem that a quantum computer can provide a solution. Quantum volume can also use to compare the performance of different quantum computers.

Ever since 2016, the IBM executives have doubled this value. In the 21st Century, Quantum computers have hailed as one of the most important innovations of the 21st century, along with potential applications in almost all fields of industries. Be it healthcare or artificial intelligence, and even financial modelling, to name a few.

Recently, quantum computers have also entered a new phase of development which can describe as practical. The first real quantum computer was launched in 2009 by Jonathan Holm. From that time, the quantum computer development has travelled a long way. At the moment, the industry driven by a handful of tech giants, including Google and IBM.

Even though IBMs latest advances viewed as significant advances, quantum computers can currently only be used for particular tasks. This indicates that they are far away from the general-purpose which classic computers serve us and to which we are used to.

Therefore, some people start worrying that the encryption technology which used to protect cryptocurrencies, for example, bitcoin may get destroyed. This worry is at least unfounded at present.

As the network is entirely built around the secure cryptographic transactions, a powerful quantum computer could eventually crack the encryption technology which used to generate Bitcoins private keys.

However, as per an article which was published by Martin Roetteler and various co-authors in June in 2017, such type of a machine requires approximately 2,500 qubits of processing power so that they can crack the 256-bit encryption technology which is used by Bitcoin.

Since the most powerful quantum computer which the world currently has only consisted of 72 qubit processors, one thing is clear that it will take several years for a quantum computer to reach the level of threatening encryption technology.

With the help of IBMs computing power which keeps doubling every year, and also the fact that Google has achieved quantum hegemony, Quantum might be working to ensure that Bitcoin can resist potential quantum computing attacks.

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Quantum Computing Technologies Market to Witness Huge Growth by 2020-2025, Latest study reveals – ReportsPioneer

January 12, 2020 | Author: admin

The Global Quantum Computing Technologies Market has witnessed continuous growth in the past few years and is projected to grow even further during the forecast period (2020-2025). The assessment provides a 360 view and insights, outlining the key outcomes of the industry. These insights help the business decision-makers to formulate better business plans and make informed decisions for improved profitability. In addition, the study helps venture capitalists in understanding the companies better and make informed decisions. Some of the key players in the Global Quantum Computing Technologies market are Airbus Group, Cambridge Quantum Computing, IBM, Google Quantum AI Lab, Microsoft Quantum Architectures, Nokia Bell Labs, Alibaba Group Holding Limited, Intel Corporation & Toshiba

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The Major Players Covered in this Report:Airbus Group, Cambridge Quantum Computing, IBM, Google Quantum AI Lab, Microsoft Quantum Architectures, Nokia Bell Labs, Alibaba Group Holding Limited, Intel Corporation & Toshiba

By the product type, the market is primarily split into:, Software & Hardware

By the end users/application, this report covers the following segments:Government, Business, High-Tech, Banking & Securities, Manufacturing & Logistics, Insurance & Other

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The Global Quantum Computing Technologies Market study also covers market status, share, future patterns, development rate, deals, SWOT examination, channels, merchants, and improvement gets ready for anticipated year between 2020-2025. It aims to strategically analyse the market with respect to individual growth trends, prospects, and their contribution to the market. The report attempts to forecast the market size for 5 major regions, namely, North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America.

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The Quantum Computing Technologies market factors described in this report are:-Key Strategic Developments in Global Quantum Computing Technologies Market:The research includes the key strategic developments of the market, comprising R&D, M&A, agreements, new product launch, collaborations, partnerships, joint ventures, and regional growth of the key competitors functioning in the market on a global and regional scale.

Key Market Features in Global Quantum Computing Technologies Market:The report assessed key market features, including revenue, capacity, price, capacity utilization rate, production rate, gross, production, consumption, import/export, supply/demand, cost, market share, CAGR, and gross margin. In addition to that, the study provides a comprehensive analysis of the key market factors and their latest trends, along with relevant market segments and sub-segments.

Analytical Market Highlights & ApproachThe Global Quantum Computing Technologies Market report provides the rigorously studied and evaluated data of the top industry players and their scope in the market by means of several analytical tools. The analytical tools such as Porters five forces analysis, feasibility study, SWOT analysis, and ROI analysis have been practiced reviewing the growth of the key players operating in the market.

Table of Contents :Global Quantum Computing Technologies Market Study Coverage:It includes key manufacturers covered, key market segments, the scope of products offered in the global Colposcopy market, years considered, and study objectives. Additionally, it touches the segmentation study provided in the report on the basis of the type of product and application.

Global Quantum Computing Technologies Market Executive SummaryIt gives a summary of key studies, market growth rate, competitive landscape, market drivers, trends, and issues, and macroscopic indicators.Global Quantum Computing Technologies Market Production by RegionHere, the report provides information related to import and export, production, revenue, and key players of all regional markets studied.Global Quantum Computing Technologies Market Profile of ManufacturersEach player profiled in this section is studied on the basis of SWOT analysis, their products, production, value, capacity, and other vital factors.

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Key Points Covered in Quantum Computing Technologies Market Report:Quantum Computing Technologies Overview, Definition and ClassificationMarket drivers and barriersQuantum Computing Technologies Market Competition by ManufacturersQuantum Computing Technologies Capacity, Production, Revenue (Value) by Region (2020-2025)Quantum Computing Technologies Supply (Production), Consumption, Export, Import by Region (2020-2025)Quantum Computing Technologies Production, Revenue (Value), Price Trend by Type {, Software & Hardware}Quantum Computing Technologies Market Analysis by Application {Government, Business, High-Tech, Banking & Securities, Manufacturing & Logistics, Insurance & Other}Quantum Computing Technologies Manufacturers Profiles/AnalysisQuantum Computing Technologies Manufacturing Cost AnalysisIndustrial/Supply Chain Analysis, Sourcing Strategy and Downstream BuyersMarketing Strategy by Key Manufacturers/Players, Connected Distributors/TradersStandardization, Regulatory and collaborative initiativesIndustry road map and value chainMarket Effect Factors Analysis

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Global Quantum Computing Market: What it got next? Find out with the latest research available at PMI – Pro News Time

January 12, 2020 | Author: admin

In this Quantum Computing Market Global Industry Analysis & Forecast to 2030 research report, the central factors driving the advancement of this industry were recorded and the business accessories and end overseers were indulgent. This statistical surveying Quantum Computing report investigates and inspects the industry and determines a widely inclusive estimate of its development and its details. Another perspective that was efficient is the cost analysis of the prime products driving in the Quantum Computing Industry remembering the overall revenue of the manufacturers.

The following key Quantum Computing Market insights and pointers are covered during this report:

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The prime manufacturers covered during this report are:

Wave Systems Corp, 1QB Information Technologies Inc, QC Ware, Corp, Google Inc, QxBranch LLC, Microsoft Corporation, International Business Machines Corporation, Huawei Technologies Co., Ltd, ID Quantique SA, and Atos SE.

Detail Segmentation:

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The report is an entire guide in providing complete Quantum Computing processes, cost structures, raw materials, investment feasibility, and investment return analysis. The SWOT analysis, market growth, production, profit, and supply-demand statistics are offered

The historical and future trends, prices, product demand, prospects, and Quantum Computing marketing channels are stated. The current business and progressions, future methodologies, market entrants are explained. The consumers, distributors, manufacturers, traders, and dealers in Business Intelligence (Bi) Software Market are covered. A comprehensive research methodology, market size estimation, market breakdown, and data triangulation is roofed.

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The role of Artificial Intelligence today – – VENTS Magazine

January 12, 2020 | Author: admin

Artificial Intelligence (AI) is probably one of the branches of Computer Science that is experiencing more growth nowadays. Even though it was born more than 70 years ago, it is in a historical period where it has generated more interest because of the revolution it has caused on the market today.

Until very recently, there were limited computational capacities that made Artificial Intelligence produce very poor results on the problem being applied, which resulted in several periods of historical dissatisfaction in the industry and considerable reduction in both interests. In this case, discipline on the number of dedicated researchers.

However, in recent years Artificial Intelligence has gained enormous momentum, able to solve problems with computers that were previously thought to be impossible, reaching levels that had never been reached before. Even mobile devices benefit from research in this area, for example, through keyboard predictive text, fingerprint screen unlocking, or face detection on a frame taken by a camera.

Several reasons that have functioned as AI takeoff machines can be listed, but the democratization of computational capacity stands out with particular emphasis, especially since 2009 with the publication of the first scientific article about the massive parallelization of AI calculations using GPUs and others in 2010, to demonstrate their use in automatic recognition of handwriting, exceeding for the first time the capacity of humans in this task. In this way, Artificial Intelligence gets its name because of the ability of electronic devices to solve problems that require intelligence and that, in the traditional way (programming), cannot be solved on a computer.

Looking back, the birth of Artificial Intelligence occurred more than 70 years ago, in the hands of Alan Turing, considered the father of this discipline. In 1936 he compiled a computational model, which consisted of heads on an infinite long band that could read, write and scroll. This computational model is called a Turing machine, and it is possible to represent any computational operation, in other words, any computation can be reduced and represented by a Turing Machine. This raises the following question: If the brain exerts computational operations, can it be reduced and represented by the Turing Machine?

If this is possible, it means that operations that we consider to be intelligent can be carried out automatically, such as the detection of objects in an image, the classification of sounds, or even the proper functioning of brain awareness. We cannot assert that the latter may occur, however, there is progress in simulating or approaching intelligent behavior, which is why subfields have emerged in the fields of Artificial Intelligence such as Computer Vision (CV), Machine Learning (ML) and Natural Language Processing (NLP).

The Japans case: Matchmaking

In Japan, a country with a high level of technological development, AI has played a more important role in matchmaking. AI devices began to be used to provide a picture of a potential partner only through the touch of a hand. It seems that the intelligence will be a determinant factor in matchmaking, today and in the future. You can find more information here. It seems that Artificial Intelligence begins to have the maturity to be applied in solving problems which until a few years ago were deemed unsolvable by machines. And one important factor in this phenomenon is that AI systems can operate independently like living things. This system is able to regulate itself, act like thinking beings, and thats why the reason is called Artificial Intelligence.

In short, Artificial Intelligence is the future of humans. We as humans cannot escape this reality. All we can do is make sure it works according to human norms and ethics. Hopefully this article can provide an overview of our future.

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Evolving Relationship Between Artificial Intelligence and Big Data – ReadWrite

January 12, 2020 | Author: admin

Find the evolving relationship between big data and artificial intelligence. The growing popularity of these technologies offers engaging audience experience. It encourages newcomers to come up with an outstanding plan.

AI and Big Data help you transform your idea into substance. It helps you make full use of visuals, graphs, and multimedia to give your targeted audience with a great experience. According toMarkets And Markets, the worldwide market for AI in accounting assumed to grow. As a result, growth from $666 million in 2019 to $4,791 million by 2024.

The critical component of delivering an outstanding pitch is taking a step further with an incredible plan of assuring success. Big data and Artificial intelligence help you contribute to multiple industries bringing an effective plan. It can directly speak to investors and your targeted audience, covering essential aspects and representing your idea in a nutshell.

According to Techjury, The big data analytics market is set to reach $103 billion by 2023, and in 2019, the big data market is expected to grow by 20%.

From transformation to the phenomenal growth AI and Big data provide you with the accessibility of relevant information. Big data holds the data from multiple sources like social media platforms, search data, and others, which can be structured or unstructured. While artificial intelligence is intelligence demonstrated by machines with the rise of natural intelligence displayed by humans.

The most exciting thing for anyone to do is to identify the problem. So to know what prevents people from reaching their goal. From the product or service you wish to obtain the targeted audiences attention, it must solve the problem of the potential customers. There can be any problem from simple to complicated for which customers need a solution.

For every problem, there is a solution. Once you have understood the problem and willing to bring change, you can clearly solve the problem in the most defined ways. Artificial intelligence is a true reflection of technology advancement. With big data, you can make full use of vital information extracting the information you need.

For every problem, there is a solution. Once you have understood the problem and willing to bring change, you can clearly solve the problem in the most defined ways. Artificial intelligence is a true reflection of technology advancement. With big data, you can make full use of vital information extracting the information you need.

One can come with accurate solutions using AI and big data. It helps in introducing a low error rate compared to humans if appropriately coded. The AI takes the decision based on data and a set of algorithms, which decreases the chance of error. Big data and AI, when used together, can really help you solve the problem by answering the potential issues and bringing an effective solution.

To solve any kind of problem, one must know about the potential market. Divide your target market into segments from whom you expect to get a positive response. It helps you do what you need to. These advanced technologies have a strong foundation with outstanding capabilities to capture the potential market. One must learn and apply these technologies to get a better result in transforming the overall experience of customers.

Capturing the target audiences attention is as important as solving the problem. Once you know how big is your potential market is, and what your target audience wants, you can use these advanced technologies to pitch and get the desired result. That is only possible if you use your segment creatively and consider creating your own identity for targeting your customer while working on your business plan.

Every industry has its own competition with a particular set of competitors. One must invest in something that can really help people and bring the best solution for them with beneficial results and stand out in the real competition.

To stay in the market and promote your service, one must invest in providing customers with alternative solutions. These AI solutions can help you increase your customer base. Give your customers the reason to choose your solution over someone elses. That reason will be the identity that you will create in the market. Build a unique solution that can help you focus on growing your business and stay ahead in the competition.

Mark your presence in the market, accomplishing specific goals that you desire to achieve and have already accomplished. Make your business a reality setting realistic goals and perform better and notable milestones to achieve greater success. The core essence of running a smooth business and getting all that you desire is accomplishing set milestones.

Accomplishing set milestones can really help you get desired results and gain positive support from the trusted and reliable model. By doing this, you can strategies your small business plan with changing times and market demand. Gain an ideal position in the market with better results and in-depth data.

Achieving a milestone can be a tough task. However, with AI & Big data, it has become possible to get predictive analysis for better results and position of control. Consider all the options that make you stand out in the competition and help you grow your business.

AI can help you analyze consumer data patterns. It can predict what users would like to pay for with the help of big data. Both these technologies are compelling to present and provides a useful result that can boost your sales and increase business revenue.

Nitin Garg is the CEO and Co-founder of BR Softech Business Intelligence Software Company. Likes to share his opinions on IT industry via blogs. His interest is to write on the latest and advanced IT technologies which include IoT, VR & AR app development, web, and app development services.

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The Evolution of Artificial Intelligence as a System – Security Magazine

January 12, 2020 | Author: admin

The Evolution of Artificial Intelligence as a System | 2020-01-09 | Security Magazine This website requires certain cookies to work and uses other cookies to help you have the best experience. By visiting this website, certain cookies have already been set, which you may delete and block. By closing this message or continuing to use our site, you agree to the use of cookies. Visit our updated privacy and cookie policy to learn more. This Website Uses CookiesBy closing this message or continuing to use our site, you agree to our cookie policy. Learn MoreThis website requires certain cookies to work and uses other cookies to help you have the best experience. By visiting this website, certain cookies have already been set, which you may delete and block. By closing this message or continuing to use our site, you agree to the use of cookies. Visit our updated privacy and cookie policy to learn more.

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