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Neural Network Software Market Research Report by Component (Services and Software), by Type (Analytical Software, Data Mining & Archiving, and Optimization Software), by Vertical, by Region (Americas, Asia-Pacific, and Europe, Middle East & Africa) - Global Forecast to 2026 - Cumulative Impact of COVID-19

New York, Nov. 10, 2021 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Neural Network Software Market Research Report by Component, by Type, by Vertical, by Region - Global Forecast to 2026 - Cumulative Impact of COVID-19" - https://www.reportlinker.com/p06183397/?utm_source=GNW

The Global Neural Network Software Market size was estimated at USD 12.09 billion in 2020 and expected to reach USD 13.43 billion in 2021, at a CAGR 11.39% to reach USD 23.11 billion by 2026.

Market Statistics:The report provides market sizing and forecast across five major currencies - USD, EUR GBP, JPY, and AUD. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2019 are considered historical years, 2020 as the base year, 2021 as the estimated year, and years from 2022 to 2026 are considered the forecast period.

Market Segmentation & Coverage:This research report categorizes the Neural Network Software to forecast the revenues and analyze the trends in each of the following sub-markets:

Based on Component, the market was studied across Services and Software.

Based on Type, the market was studied across Analytical Software, Data Mining & Archiving, Optimization Software, and Visualization Software. The Optimization Software is further studied across Genetic Algorithm and Simulated Annealing.

Based on Vertical, the market was studied across BFSI, Energy & Utilities, Government & Defense, Healthcare, Industrial Manufacturing, Media, Retail & Ecommerce, Telecom & IT, and Transportation & Logistics.

Based on Region, the market was studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, and Thailand. The Europe, Middle East & Africa is further studied across France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, and United Kingdom.

Cumulative Impact of COVID-19:COVID-19 is an incomparable global public health emergency that has affected almost every industry, and the long-term effects are projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlying COVID-19 issues and potential paths forward. The report delivers insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecasts, considering the COVID-19 impact on the market.

Competitive Strategic Window:The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.

FPNV Positioning Matrix:The FPNV Positioning Matrix evaluates and categorizes the vendors in the Neural Network Software Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Market Share Analysis:The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.

Competitive Scenario:The Competitive Scenario provides an outlook analysis of the various business growth strategies adopted by the vendors. The news covered in this section deliver valuable thoughts at the different stage while keeping up-to-date with the business and engage stakeholders in the economic debate. The competitive scenario represents press releases or news of the companies categorized into Merger & Acquisition, Agreement, Collaboration, & Partnership, New Product Launch & Enhancement, Investment & Funding, and Award, Recognition, & Expansion. All the news collected help vendor to understand the gaps in the marketplace and competitors strength and weakness thereby, providing insights to enhance product and service.

Company Usability Profiles:The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global Neural Network Software Market, including Afiniti Inc., Alyuda Research, LLC, Ayima Ltd, BWMC Ltd, Clarifai Inc., DataRobot, Inc., Google LLC, IBM Corporation, Intel Corporation, Microsoft Corporation, Neural Designer, Neural Technologies Incorporated, NeuroDimension, Inc., NVIDIA Corporation, Oracle Corporation, Qualcomm Incorporated, SAP SE, SAS AB, Slagkryssaren GmbH, Sony Network Communications Inc., Starmind International AG, Ward Systems Group, Inc., Ward Systems Inc, and XenonStack.

The report provides insights on the following pointers:1. Market Penetration: Provides comprehensive information on the market offered by the key players2. Market Development: Provides in-depth information about lucrative emerging markets and analyze penetration across mature segments of the markets3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments

The report answers questions such as:1. What is the market size and forecast of the Global Neural Network Software Market?2. What are the inhibiting factors and impact of COVID-19 shaping the Global Neural Network Software Market during the forecast period?3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Neural Network Software Market?4. What is the competitive strategic window for opportunities in the Global Neural Network Software Market?5. What are the technology trends and regulatory frameworks in the Global Neural Network Software Market?6. What is the market share of the leading vendors in the Global Neural Network Software Market?7. What modes and strategic moves are considered suitable for entering the Global Neural Network Software Market?Read the full report: https://www.reportlinker.com/p06183397/?utm_source=GNW

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Neural Network Software Market Research Report by Component, by Type, by Vertical, by Region - Global Forecast to 2026 - Cumulative Impact of COVID-19...

A Master of Business Administration student and a recent computer science graduate from The University of Texas at Dallas each have been awarded $15,000 Mitchell Family Foundation Scholar Awards from the Texas Business Hall of Fame Foundation.

Both Comets built their new-venture experience through food startups.

Mercedes Johnson BA19

Mercedes Johnson BA19, an MBA student in the Naveen Jindal School of Management, created Food Magnet, an app that helps customers find food trucks and food trucks find business. Rohit K. Shenoy BS21, an alumnus of the Erik Jonsson School of Engineering and Computer Science, was a co-founder of CampusOven, a catered meal delivery service that focused on bringing fresh, healthy dining alternatives to students.

Johnson, who earned a bachelors degree in arts, technology, and emerging communication and now works as a principal user experience designer at Capital One, returned to UT Dallas to pursue her MBA after learning that the program offered a concentration in innovation and entrepreneurship.

While taking an innovation and entrepreneurship accelerator course during her first semester, she came up with the Food Magnet idea.

My goal is to be a serialpreneur, said Johnson, who wants to eventually start her own production company.

Rohit K. Shenoy BS21

Shenoy, a Eugene McDermott Scholar, became involved with the UTD Entrepreneurship Club and the Institute for Innovation and Entrepreneurships Blackstone LaunchPad during his freshman year. He participated in the CometX Accelerator program; interned at Tech Wildcatters, a startup accelerator in Dallas; and was a venture analyst in the UT Dallas Seed Fund. The CampusOven team was a finalist in the 2020 Big Idea Competition.

From talking to venture capitalists in the area, I truly believe that Texas will continue to grow rapidly and become a major center for entrepreneurial activity in the coming decade, said Shenoy, who is now working to create a data mining and analysis startup. And I look forward to being a part of this movement.

The winners were announced via video by Gaurav Sethi BS20, who was chief financial officer of CampusOven and earned a Mitchell Family Foundation Scholar Award last year. The awards were presented Oct. 28 at the Texas Business Hall of Fame Annual Scholar & Veteran Award Luncheon in Dallas.

The Texas Business Hall of Fame was formed in 1982 to honor outstanding business leaders in Texas and to inspire the leaders of the future by funding scholarships that help recipients pursue their business educations at Texas schools.

Accolades is an occasional News Center feature that highlights recent accomplishments of The University of Texas at Dallas faculty and students. To submit items for consideration, contact your schoolscommunications manager.

Excerpt from:

Comets Find Right Ingredients, Win Business Hall of Fame Scholarships - University of Texas at Dallas

By Barry Tuffs, Sales and Marketing Director at Invosys

Caller identity fraud

I am sure each one of us will either have directly experienced a fraud attack or know somebody close who has been a target. Attacks of this nature can range from a single unrecognised transaction on a credit card or a dubious claim on an insurance policy, right through to a full-on emptying of a bank account. Thankfully, in many instances, it is the provider who ultimately incurs the loss, but not without significant disruption for the victim. In every case, the victim will be left scratching their head, wondering where they exposed their details to the criminals or which of their past transactions was used to harbour the information.

While these criminal occurrences appear to be a one-time hit-and-run event, it is often far more than a straightforward data breach that enables highly organised gangs to commit the fraudulent act. The mining and piecing together of the victims data can take many months and thousands of attempts to gather the information necessary to carry out the attack successfully.

Data mining

Data mining, or data farming, typically begins with a snippet of information that becomes available either in the public domain or for a fee on the Dark Web. This information may have been released from a previous mass data breach or from details gained via an unscrupulous third party. But wherever the details came from, they are unlikely to be sufficient to commit fraud. It is not a difficult task to use the various social media channels to discover somebodys date of birth, pets name, mothers maiden name, childrens names and birthdays all among many other details people tend to incorporate into passwords or set as answers to their security questions.

However, we have all had texts, emails and voice messages alerting us to activity on an account or with an agency we have no association with.

The fraudsters send out these alerts across various mediums, sometimes with a scatter-gun approach, hoping that the random recipient opens the message and clicks the link that takes them through to a web page or data capture form purporting to be associated with an organisation they have a relationship with. Here, the sole aim is to obtain as much personal information as possible by the victim disclosing it in full.

Yet, it is likely that the alert message was not completely random. A contact number or email address may have been leaked along with the client reference (account number or customer code). These messages requesting a call to action can be far more targeted. Messages from several similar organisations are sent over a period to target the victims using different methods. If a potential victim responds to one message and not others, the fraudsters can creep closer to knowing where to focus their efforts.

Criminal gangs often use their target organisations interactive voice response (IVR) or telephony menu as their tool of choice.

The self-service systems allow the fraudsters to go about their data mining totally unnoticed. Multiple attempts can be made to enter a valid customer ID number or account code without the victim ever becoming suspicious. Of course, some systems can look out for recurring calls from the same number, but the crime syndicates are becoming ever more technically advanced.

Undoubtedly, the move to IP-based telephony has lowered costs, increased resilience and enabled an almost endless list of possibilities, but not without added concerns. Traditionally, enabling a caller to speak to somebody at their desired destination was only possible because of a continuous connection on the copper network between the two specific endpoints. As more modern technology effectively uses the internet to transmit phone calls, there is far more going on than the simple passing of sounds from end to end. Before the call connects, certain criteria need to be met to satisfy both the networks and the end devices. The criteria are verified within the data element of the call, like a kind of digital footprint.

Readily available technology now exists to manipulate the ingrained data, altering the very core of the call. As a direct result, fraudsters can present a different telephone number with every call they make, even if it originates from the same device. They can even go as far as presenting a genuine customer telephone number, which may be all the proof the organisation needs to pass the first line of security and gain access to basic client information or the next set of virtual locks. Changing the presentation number of a call in this way, when done for genuine reasons, is known as CLI Flexing. Instances of presenting different numbers with deceitful motivations are known as spoofing and it happens alarmingly frequently.

An increasing problem

During the pandemic, many businesses had to change the way they operate, with many departments working from home or even closing with employees on furlough. Potentially, this shift to remote working drives more incoming enquiries into businesses automated systems. Many companies will choose to retain their new practices to reduce the size of their workforce and lower ongoing costs. Unfortunately, higher call traffic and automation has given the criminal groups even more cover to go about their business. If call volumes have increased anyway, organisations will be oblivious as to whether the increase is from genuine callers or thanks to calls of a less desirable nature.

Have you heard of the infinite monkey theory? This hypothesis says that if you give enough monkeys a typewriter each, one will (eventually) inadvertently write the full workings of William Shakespeare. Many others will come close, perhaps with just a single spelling mistake. It is a similar challenge with fraudsters. If they make enough attempts to an unmonitored IVR system, they will eventually get a correct combination. The fraudsters do, however, have a head start, as they only have ten digits at their fingertips rather than twenty-six letters (plus punctuation). By removing any combinations that are known to be invalid, the target becomes easier to locate.

Automated diallers will be doing the vast majority of the monkey work and will be programmed to identify the different IVR responses for recognised numbers. This work determines with which institute or business the initial pieces of information are associated. It is not uncommon for an automated system to give out an account balance or order status update based on the callers number being recognised, along with a valid account code or client ID entered on the keypad. All this information helps to piece together the jigsaw of where and when to focus the efforts of the fraudsters. The last thing the fraudsters want at this stage is to be put through to an actual agent. They are happy camping out in the IVR, untangling the data.

It could be months later when the actual fraud causes a loss to take place, but there are scenarios where the fraudsters can act much quicker.

Have you ever had one of those calls with the digitised voice, asking you to press one to be connected to your bank? I always hang up but do often wonder what would happen if I did press the relevant button. My guess is that I would be asked to enter a security number using the phones keypad and somebody, or something, would record the tones and decipher my code. However, there is a chance I would be connected to the genuine organisation and its automated menu system, albeit not directly. There is a reasonable chance I would not notice anything amiss.

The reality is that I may have just been connected to a three-way call, where the fraudster is already on a call within my providers IVR. Once connected, the fraudster sits silently listening to me key in my security codes and answer my ID checks. Then, just as I am being connected to the right department, the fraudsters disconnect my leg of the call, leaving them to speak to the agent and do whatever they like, such as change my PIN, reset my online password or transfer a large amount of funds. The criminals will call me back (do not forget they can present any number they choose to), apologise for the call dropping and tell me there is nothing to worry about, before wishing me a good day.

Although this type of crime is more prevalent within the financial sector, there are many other industries where fraudulent phone calls will be occurring. But how many and how often is incredibly hard to say.

Two factors combine to impede quantifying IVR fraud. Firstly, there is the fact that any attack on the IVR usually precedes the actual fraudulent transaction, which could have been the result of hundreds of mining attempts. So, any data analysis is retrospective and potentially ambiguous.

Secondly, any organisation affected by IVR fraud will be extremely reluctant to publicise facts and figures. The Telecommunications UK Fraud Forum (TUFF) suggests that affected businesses should share best practices and highlight their own weaknesses to other similar businesses. TUFF also recognises that admitting to these shortcomings could be the worst kind of publicity, so many businesses will keep their findings to themselves.

As an ever-increasing number of companies strive to minimise their costs and working remotely becomes the new norm, the IVR and connected automated services will only continue to grow. It is, therefore, imperative that businesses and their customers have the utmost faith in the technology they are accessing or providing.

Why should my business care?

Whilst this type of activity is most prevalent in the financial sector, any business operating a telephone system could be a target. The opportunities for thieves to prosper from presenting themselves are endless.

On the 25th of May 2018, the EUs GDPR regulations came into play, making organisations take much more accountability for how they handle any customers personal information. Personal data is described as follows:

Name

Home address

Email address

Bank details

Medical information

A computers IP address

So, if your business holds any of that information about a customer and it is distributed over the phone, whether automatically or by an employee, you would be breaking the law if it is given to an imposter.

The laws state that any data breach must be disclosed by the affected organisation within 72 hours of being made aware of the contravention. Of course, there is the ability to plead ignorance as you could be unaware for an undefined period, or even indefinitely. But consumers are far less likely to do business with an organisation that is non-compliant.

Any business found to be in breach of the rules faces potential penalties of 4% of their turnover or 20 million.

This kind of fraudulent activity has serious implications for individuals and organisations alike. It is big business for criminal gangs. How big? Nobody really knows.

Thankfully, whilst fraudsters may be creative and bold, they are also often lazy. They will always go for the easiest of wins. Which is why the scam emails we all receive usually contain spelling errors or grammatical mistakes that are obvious to most people. They do not want everyone to respond and waste their own time taking a target down a route that they will eventually realise is not what it seems. They want the more easily led. It is for this reason fraudsters choosing the path of least resistance that organisations operating phone systems need to be aware of this type of activity and look for ways to combat it.

To find out how to tackle these issues through Invosys,BOOK A DEMOwith us.

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To Give Away your Life Savings, Press One - Global Banking And Finance Review

AdGuard combines a potent ad blocker with the best privacy and security features of a virtual private network and a parental-control app. And right now, you can get a lifetime subscription to the AdGuard Family Plan for only $30. Plus, to make this deal even sweeter, it comes with $20 in store credit to spend on other Cult of Mac Deals!

So, basically, 10 bucks for a lifetime of ad-free web browsing with additional privacy and security benefits (and $20 to spend on something else to make your life more joyful and carefree).

AdGuard is unique in that it brings together many of the best security features of different essential programs and apps. It covers up to nine devices, and it works on Mac, iOS, Windows and Android.

So, what does AdGuard bring to the web-browsing party? First, it will get rid of all those annoying advertising banners and pop-ups. Not to mention those long, unskippable ads at the beginning of YouTube videos that end up being longer than the video itself. Kiss those goodbye!

You will gain some peace and quiet now that you dont have to track down which tab has an ad that plays music. And as a bonus, your pages likely will load more quickly as well. Now that your bandwidth isnt bogged down loading a banner selling a product you googled yesterday, you should notice a real uptick in your web-browsing speed.

Privacy is important, too, and AdGuard gives you powerful tools for maintaining yours. AdGuard lets you hide your personal info from trackers and data miners. (Thats the companies and people who would use your browsing data to create ads that you blissfully cant see one youre running AdGuard.) You can even protect yourself from malware attacks and phishing attempts.

Finally, while your security is important, your childrens is absolutely essential. And you can protect your kids while theyre on the internet by using AdGuards parental controls. You can restrict inappropriate and adult content from appearing while your kid is browsing.

With AdGuard, you will give your family the best version of the internet: One that is free of ads, free of data mining and free of suspicion. Get an AdGuard Family Plan: Lifetime Subscription + $20 Store Credit for $29.99 (regularly $129).

Prices subject to change.

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AdGuard is an ad blocker, a VPN and a security app in one -- and this deal makes it a steal! - Cult of Mac