Month: October 2021

Covid: Predictions for the Next Ten Years

I am not a medical doctor, only a doctor in statistical sciences. Yet much of the political crisis has its origin rooted in data and statistical models: people who disagree, on either side, do so mostly because they disagree with the conclusions based on the opponent’s data (accused of cherry-picking), or the validity of the data in question. In short, this crisis epitomizes what is called “lying with statistics” by people ranging from layman to scientific expert. Some of the lies are due to ignorance, innumeracy or lack of analytical acumen, some are made on purpose or because being pressured by a third-party that wants to enforce its agenda.

I won’t discuss the data here, but rather, what is missing in the data, and the potential implications. In short, I focus on the absent data (so massive it dwarfs the observed, recorded data). My predictions should be taken as personal opinions only. In fact, they are mostly associated to unanswered questions and unobserved data; I would describe these predictions as an attempt at good judgment, in the absence of solid data. I also  explain why a 85% vaccination rate is unachievable in the long-term in US, and why the outlook, nevertheless, is probably promising. Section 1 discusses my predictions. Section 2 discusses common reasons – not mentioned in the media whether left or right – why some people are not vaccinated. I believe that vaccines work, so by listing the reasons in question, it does not mean that I endorse them.

1. My predictions

A potential way to get some insights about the future is to look at the Spanish flu. Is the common flu a descendant or relative of the Spanish flu, that mutated over time and is constantly mutating and mixing with other related viruses? I don’t have an answer. Similarly, one might think that Covid, after killing everyone it could, will have a much harder time to be so lethal. Also, a smart virus does not want to kill too many people. In that regard, one could argue that Covid is smarter than Ebola. A smart virus would want to infect a large number of people who will be asymptomatic and will spread the disease unknowingly. The fact that the virus kills many people in the process is probably not a feature in the design of the virus, created for that purpose, but rather a side-effect due to poor design. It does not help the virus as the target population also adapts and will find ways to evade it (vaccines, for instance).

Coming back to the Spanish flu, one could argue that the current Covid will evolve in similar ways and become much less lethal sooner rather than later, like in the next few months. In part because many people are vaccinated, and among those unvaccinated, many have been infected once if not twice. Among those unvaccinated but previously infected, many will experience only mild episodes in the future and will get an immunity similar to those who are vaccinated. For instance, many people got the flu a few times as a kid, and never caught it again in the next 40 years. Maybe they caught it again, maybe even every year, but were unaware as it produced no symptom. How many people are in that category, I don’t know. It would be interesting to do a survey to find out. My guess is that it is more than 50% of the population. Since these people never go to a doctor to get tested for flu, they are not in the statistics. Hospitals never see these people, maybe a reason why some doctors believe that they don’t exist. But I believe this is a reason why it is impossible to reach a 85% vaccination rate on a long-term basis.

Also, another important question: how much these people contribute to the spread of the flu, compared to vaccinated people, and to people who get very sick? Finally, not catching the flu for 40 years in a row does not mean that you are immune for life: as you get older, your immunity system gets weaker, and many really old people eventually die from the flu (technically from old age, but it was the flu that was the last straw for them), even if they were untouched for 70 years. And some seasons are particularly deadly. To summarize, Covid will never disappear entirely, in my opinion. Some years will see a deadly variant. Vaccinated people will probably have to get a shot, or two, every year. It may end up like the flu. Maybe not as bad, or maybe worse on average.

Another type of prediction is about how the governments will react. Will vaccine become mandatory for all? I don’t think so. Will you for ever have to show proof of vaccination to go to a restaurant? I don’t think so, indeed I think it won’t be the case anymore within a year. Will vaccinated people get privileges over non-vaccinated, in the long-term? Probably. But  in order to keep these privileges, they will most likely have to get a booster shot, at least once a year. Now my predictions about government mandates have been overly optimistic in the past (I never imagined governments would enact such tough mandates for so long, and I tend to be a pessimistic person). So you might want to take this with a grain of salt. It is possible that lockdowns and tough mandates will happen again on deadly years, in some locales. It is even possible that a 85% vaccination rate can be achieved in the short-term with very tough mandates, but as people become complacent or forget about it over time, some suffering enough from the vaccine not to want booster shots, some like healthy kids thinking Covid is worse than vaccine for them (from a risk management point of view), and because numerous recovered people will realize they are not getting sick anymore (like people who never get the flu again), the effective vaccination rate will drop sharply in the future (you can’t count someone vaccinated 5 years ago as being vaccinated, for a disease like Covid). Nevertheless, Covid will become much less lethal for the reasons previously discussed. Good vaccines not involving needles will  probably be developed, and I think it will increase vaccination rates. 

2. Why so many people are still unvaccinated?

One in about 500 people has died from Covid so far, in US. This is a huge number compared to one in 5,000 who die in a car crash in a 2-year time period, but if your circle of friends consists of 100 people, there is only a 20% chance that you know someone who died from Covid. However, Covid is not a random killer, and trying to put everyone in the same bucket, for policy purposes, creates problems. We are all unequal against Covid, and Covid is unfair and a discriminatory virus. Some people have several relatives who died from it (especially if you have frail people in your circle), and some have none. It is clustered, not random. A bit random, but not that much, and certainly far less random than a lottery. Some people know that their risk is very low (see the numerous people who never get flu 40 years in a row). And some people erroneously think they are stronger than others. This has some indirect impacts on the decision to vaccinate.

I will exclude from this discussion people who believe in conspiracy theories, people who believe God will protect them (or possibly punish them), people who believe in miracle cures, people who believe vaccines are dangerous, people who want to wait longer, people who for no reason believe they are immune, or that Covid is vastly exaggerated. This represents a portion of the unvaccinated. As a scientist, I don’t know any of these people. It would be interesting to estimate how much of the unvaccinated they represent. I think it is less than 50%, but I am biased as I don’t frequent these circles, and it is quite possible, because they are very vocal, that they are actually far rarer than most people think despite the appearances. But I have the same bias as doctors who think the numerous people who never get the flu 40 years in a row don’t exist, because they never hear about them complaining about never getting the flu. 

That said, let us focus on the unvaccinated people that are not in one of the above categories. A priori, it excludes all the so-called “idiots”, and only includes people who believe that vaccines work and are very safe. It would be important to estimate what proportion of the population (among the unvaccinated) they represent. Below, I am listing some of the arguments that I hear from them, which are never mentioned in media outlets. It does not mean that I endorse these arguments: I am just simply reporting them. I believe that this is the hidden face of the unvaccinated, because despite (in my opinion) representing the majority of the unvaccinated, no one ever mentions them. 

  • People who claim that they experienced serious side effects from the first or the second shot, or from previous vaccines. These side effects might be considered mild by most people who get sick once in a while, but for them, being somewhat sick and at home/unable to work for free days because of the shot, is the worst that they have experienced in a long time. They may not recognize that catching the virus could have been far worse. While technically vaccinated, they will be classified as unvaccinated in three years (or more precisely, not immune) if they start refusing future shots.
  • People who know (with facts backing this evidence) that their risk of serious illness from Covid is very low. Their family members might be vaccinated, they may work from home or are retired, maybe they don’t fly, but they know that they are not exposing other people. If they lived with someone frail in their family, they would get vaccinated. If they get Covid, they’d rather die at home than generating potentially very large hospital bills. They want that money to go to their kids, not to an hospital. 
  • Healthy people who believe they need exposure to germs to boost their immune system. They would not take the risk with smallpox, and would be vaccinated against it, but not Covid which they see as much less dangerous. They may have caught all the preventable diseases that they were not vaccinated against as a kid and recovered on their own, almost never visit a doctor, and indeed it worked for them; they expect that it will continue to work this way until they reach old age, or if something far worse than Covid happens: in that case, they will get vaccinated. 
  • People concerned with the administration protocol. They know that vaccines are safe, but they are concerned that the people providing the shots at their grocery store, may not be competent and prone to mistakes. Some people will avoid medical facilities out of fear of catching various diseases. They think they might indeed catch the virus in an hospital, not because of getting the vaccine shot, but because of being exposed to infected patients. The time spent to get vaccinated (driving to and from a vaccination center) may be enough of a deterrent. Some fear needles but would get the vaccine if it could be taken orally and/or at home. Some are concerned about the paperwork: there are stories of vaccinated people who lost their card and were unable to get a new one; for all matters these vaccinated people are now treated as if they were unvaccinated. 
  • People who view the vaccine as a product or commodity. If you ask them why they are not vaccinated, they have no reason. It’s like asking them why they don’t buy oranges at the grocery store despite the fact that they have nothing against oranges and know it is an healthy fruit. These people may have a very long “to do” list, and vaccination is not at the top in that list. They may even love oranges, but obviously can’t buy the myriads of product that they like, if anything due to lack of time or lack of money, even if the some of these products (say oranges) are available for free.
  • Some unvaccinated people have been constantly insulted, to the point that the argument “protecting other people” does not work anymore. They don’t want to protect those who insulted them and predicted their death (or that of a family member), especially as these predictions were wrong for them. Not only that, but they have realized that the vaccinated people predicting all sort of ailments happening to their family, were wrong. They start asking whether what these vaccinated people say about the vaccine or Covid might be just as wrong.
  • Probably the largest segment, and rapidly growing, are those who were infected once or twice, especially recently. They believe that they are immune for the next 12 months, and expect the next episode to be milder. They don’t see themselves as any different from vaccinated people, in terms of risks of infecting others or getting seriously sick themselves. Some may even start questioning masks, as the very mild difficulty breathing they experienced themselves personally due to Covid was same as wearing a mask, but only of shorter duration and only on occasions (like a 2-hour episode every other day before eventually disappearing after full recovery).

Again, this is not an endorsement of these viewpoints. Some of these people will eventually become very sick or die, and infect others. But vaccine itself does not fully protect either against transmitting the virus. It is said that it works better than catching the disease (assuming you don’t die from the disease) in terms of building immunity and stopping the spread. But the statistics are biased in the sense that the average recovered patient got her last infection months before the average vaccinated person got her last shot. Over time, we will see if natural immunity is stronger or not than that provided by the vaccine. It seems that volatility due to recovering is higher, thus predictability more difficult, than from vaccines, in terms of assessing the acquired immunity for a specific individual. My guess is that natural immunity works better than vaccines for some people, and worse for other people. In both cases, you’ll probably have to be infected/exposed again, or better, vaccinated again, to keep up with the new variants of Covid. But recovered people are going to be the biggest challenge for government policies, for years to come. Just my 2 cents.

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About the author:  Vincent Granville is a data science pioneer, mathematician, book author (Wiley), patent owner, former post-doc at Cambridge University, former VC-funded executive, with 20+ years of corporate experience including CNET, NBC, Visa, Wells Fargo, Microsoft, eBay. Vincent is also self-publisher at DataShaping.com, and founded and co-founded a few start-ups, including one with a successful exit (Data Science Central acquired by Tech Target). You can access Vincent’s articles and books, here. A selection of the most recent ones can be found on vgranville.com

Top 5 Trends of Telematics Industry

Telematics is an innovative field that combines computer science, telecommunication, electrical engineering, and vehicular technology. It is beneficial for various businesses like transportation, logistics, delivery, etc. The modern fleet management systems are also based on the principles of telematics. These monitoring solutions help companies to run their operations with efficiency. 

The telematics industry has expanded exponentially over the years. Its global market size is expected to be around 103 billion dollars. With time, there have been many advancements in the telematics industry giving rise to new trends. We will look into the latest ones in detail here.

Data Integration:

Data is at the core of fleet operations. It is integral for an efficient tracking solution to provide a centralized platform for extracting and sending data. As there are various areas involved in the functioning of the fleet, many solutions are required for facilitation as well. From the financial software to the ERP and tracking solutions, data from all the platforms should be integrated. It streamlines the operations resulting in better productivity. 

When the data from all areas of the operations are visible in one place, it offers managers convenience. They can analyze the operational efficiency by monitoring every relevant aspect. It helps in getting a better reflection of performance.

 

Focus on Drivers:

The driver is the captain of the ship during transportation operations. One of the modern telematics trends is to concentrate more on drivers to achieve desired results. For example, the location tracking of the drivers is also necessary along with that of vehicles to achieve foolproof safety. Similarly, in addition to analyzing vehicle activity, it is essential to monitor driver’s performance to improve efficiency. Driver behavior monitoring is a popular feature in all modern fleet management systems.

Real-time communication with the drivers is another essential feature for running seamless operations. If the drivers can freely talk to the managers to explain their issues during trips, it can result in better efficiency. They can also inform the managers about any emergency immediately to get a quick response.

 

Internet of Things:

The internet of things is one of the most popular trends in the vehicle tracking software industry. With the increasing scope of transportation companies, there is a bigger need for streamlined processing. Advanced IoT solutions like fleet tracking software allow a business to manage every aspect of operations efficiently. Many sensors including verification, alarm, fuel, temperature, humidity are available to monitor everything with efficiency.

With the incorporation of IoT in operations, the job of a manager becomes much easier. The features like alarm system, driver identification, and real-time tracking ensure safety. It allows the managers to focus more on the core operations to achieve better productivity.

 

Vehicle-to-Infrastructure Technology (V2I):

Vehicle-to-infrastructure technology is creating a buzz in the transportation sector. It is a communication model that shares data between vehicle and road infrastructure systems. The information about various components like lane marking, road signs, and traffic lights is shared with the vehicles. It allows the drivers to remain updated about the road conditions ahead resulting in efficiency and safety.

V2I technology is already implemented in different areas of road safety like smart traffic lights, smart signs, and intelligent road markings. It will also be at the core of autonomous vehicles which will be the next big thing in the future.

 

Remote Accessibility:

Remote tracking is the new-age requirement of fleet management systems. In fast-paced operations, it is hard for a manager to sit in front of a screen for monitoring. Therefore, a remote platform like a mobile app can be really helpful in this regard. Managers can monitor the working of their fleet from any far-off location. The 24/7 monitoring ensures better productivity and profitability for the business.

Remote accessibility can also be a highly beneficial feature for the convenience of the clients. From delivery to ride-hailing, every business can provide mobile apps to their customers to streamline operations. The clients can place or track their orders remotely through the mobile app.

Telematics is an integral part of various industries and solutions. Some software like fleet management systems is based on it. It has evolved over the years due to the growing needs of the businesses resulting in the introduction of new trends. If you also want to find out about the latest trends in the telematics industry, the above-mentioned information is worth reading. 

 

Accelerate The Move To Digital With Professional Ebook Conversion Services

The COVID-19 pandemic has affected every industry vertical and the publishing sector is no exception. It has compelled authors and publishers to modify their behaviors overnight and without a prescriptive road map. Consumers are preferring eBooks and audiobooks over physical books, which is a major paradigm shift, unlike the parallel trend that it was thought to be. Another significant trend is the release of exclusively online versions first, followed by print editions only after a verified demand for the hard copy.

Though the pandemic has disrupted the demand for physical books and magazines, an upward interest to consume information gives a ray of hope. For example, data sourced from Statista shows a significant increase in time spent on reading during the lockdown. It states that 25% of the readers increased their reading time every week, often by more than 15 hours. Other 9% of the readers increased reading by three to four hours per week. Besides, many new audience segments have emerged during the pandemic as the readers rediscovered their taste for consuming books–indicating enormous opportunities for the publishing sector in the new normal.

Moreover, in the foreseeable future, the academic curriculum is expected to be online, and not restricted to physical books. An increasing number of institutions, teaching professionals, and students are exploring the option to offer/receive online education exclusively or in conjunction with the conventional in-the-premise systems. As eBooks and audiobooks emerge as the primary mode of information consumption–traditional publishers must begin to digitize titles and adopt the new business model. It will facilitate faster and safer publishing or distribution, filling for the revenue lull.

The current pandemic has accelerated the trends that publishers expected to play out over several years, rather than months. Yet, the swerve has given rise to a new playground and the time to capitalize on new opportunities is now.

Move To Digital – The Mandate For Covid-19 Recovery

Adjusting to the ‘new normal’ and meeting the growing demands of tech-savvy readers requires publishers to invest in a digital framework. While establishing this capacity in-house may not be time or cost-feasible–outsourcing the requirement to professional eBook conversion services is efficient and faster. Associating with a professional vendor allows to reap various benefits as mentioned below:

eBook formatting services

  • Operational Excellence

Digitizing the titles and delivering an exceptional reader experience requires dedicated time and resources. The outsourcing vendors have multi-dimensional perspectives, streamlined processes, a time-tested blend of workflows, and a pool of competent professionals with hands-on experience in the eBook conversion process. They facilitate publishers to optimize the publishing pipeline and operational expenditure without affecting the quality of outcomes. These professional providers leverage the best-fit tools to help publishers/writers/authors digitize titles, thereby expanding their reach. Using their expertise, they assist the clients to give a world-class look-and-feel to the eBooks while abiding by the best publishing standards.

  • Competitive Edge

Associating with an experienced vendor allows publishers, writers, authors, and corporations to release an aesthetic product by creating unique layouts and providing flexible conversion solutions. They know what it takes to ensure the reader’s delight and confidence in a product and strive to deliver captivating eBooks, audiobooks, and digitized titles. A majority of leading outsourcing firms provide typesetting consultation and eBook cover design services, thus enabling the companies to differentiate through their offerings. They also help publishers to diversify business models by syndicate/affiliate distribution or collaborating with different online media, resulting in an expanded outreach.

  • Enhanced ROI

Engaging professional eBook conversion services allow the traditional publishers to seamlessly convert titles into the preferred file format, thereby maximizing cross-platform compatibility, interactivity, mobility, and flexibility. They assist the writers, corporations to increase the relevancy of their content for a global audience by providing multilingual conversion and language globalization services, enabling them to expand their horizons. Besides, by targeting non-English speakers in their native language, they help in catering to a wider variety of readers worldwide. Taking care of the entire eBook conversion pipeline, the outsourcing partner enables the corporations to reach enhanced accessibility standards. They ensure that the Deliverables comply with WCAG 2.0 guidelines, ADA Compliance, DDA, PDF/UA, etc., thereby enabling the publishers to tap and meet the requirements of the differently-abled population.

  • High-Quality Outcome

The rise of digital formats has also led to the rampant piracy of eBooks and devaluation of copyright content, posing a challenge for publishers. Collaborating with external vendors allows businesses to easily address such issues and offer high-quality media-enriched digital books. Banking upon a team of expert editors and proofreaders, the professional providers conduct rigorous tests on different devices including iPad, Kindle, Nook, etc. to evaluate the features, functionality, mobility and accordingly address concerns as well as incorporate adjustments. They conduct asset research for the procurement of digital media permission and rights. The accredited professionals also define vocabularies, the syntax to express metadata, identifiers, and metadata tagging to ensure zero errors in the final product.

Way Forward

The COVID-19 pandemic is an opportunity in disguise for the publishing industry since it brings immense opportunities for businesses to scale new heights. As changing times call for the new norms, engaging professional eBook conversion services to assist the writers, authors, and corporations to seamlessly digitize their titles and consequently reach out to a wider audience. Therefore, it is time for the traditional publishers to make hay while the sunshine and easily cut through the competition.

Source: Accelerate The Move To Digital With Professional Ebook Conversion Services

IC-61633-C7T9

The complainant has requested information relating to expenditure for the pathology department for the financial years 2017-18, 2018-19 and 2019-2020. The Commissioner’s decision is that the Trust has failed to demonstrate why section 43(2) (commercial interests) of the FOIA is engaged. The Commissioner requires the public authority to take the following steps to ensure compliance with the legislation: Disclose the withheld information.

IC-129107-K2G1

The complainant requested information from the Cabinet Office (CO) about statistical information and the supporting information that would allow the statistical information to be interpreted. By the date of this notice the CO had not issued a substantive response to this request.
The Commissioner’s decision is that the CO has failed to complete its deliberations on the balance of the public interest within a reasonable time and has therefore breached section 17(3) of the FOIA.
The Commissioner requires the CO to take the following step to ensure compliance with the legislation.

Having confirmed that information is held within the scope of the request: either disclose the requested information or issue a refusal notice in accordance with the requirements of section 17 of the FOIA.

4. The CO must take this step within 35 calendar days of the date of this decision notice. Failure to comply may result in the Commissioner making written certification of this fact to the High Court pursuant to section 54 of the Act and may be dealt with as a contempt of court.

NER or Named Entity Recognition usage in NLP Tasks

Named entity recognition or NER is popularly used in NLP tasks in machine learning models. In the world, where textual information is generated every millisecond around the world across fields, approaches such as named entity recognition have been in practice for more than decade. Natural language processing deals with understanding of a number of languages spoken and written by humans, wherein, basic tasks are basic NER models, which provide much required data classification and interpretation help.

Named entity recognition concerns specifically labeled entities in machine learning training data; POS tagging and syntactic chunking are commonly followed while performing specified NLP tasks. Several predictive content and content discovery engines on various online platforms for diverse business verticals utilize NER, day in and day out.

How named entity recognition is applied

Named entities can be of various types. The types of data that are processed and then applied may include a wide number of categories. For example – Name, Unit, Type, Quantity, Country, Occupation, Ethnicity etc. The entity type depends on the type of natural language processing requirement, which mainly involves relation extraction, information extraction, coreference resolution and question generation.

Typical process followed in NER

                                                                              Image credit: Devopedia

The challenge of extracting meaningful information from unstructured data is nothing new. While implementing this for content discovery and in predictive content tasks, ambiguity remains a key challenge which can divert the recognition process. Multi-token entities and names within names make the approach difficult often. In such scenarios, coreference resolution helps in resolving this challenge. Coreference resolution finds the clusters with linguistic similarities to remove textual ambiguities in the content. As supervised learning tasks, it is based on content discovery patterns required labeled machine learning data. Making the underlying named entity system work, labelled data quality is equally crucial.

Important milestones in NER approaches

A logic applied by a researcher using heuristics, exception lists and extensive corpus analysis in 1991 led to the discovery of named entity recognition. Starting then, various other NER focused techniques combined with other machine learning principles have been adopted.

Since then a number of incorporations surrounding the technique have surfaced. Some prominent being the ones containing algorithms having K-Nearest Neighbor (KNN) classifier and Conditional Random Field (CRF) labeler for establishing context in the text, from both macro and micro levels. And utilizing the basis of NER into a more advanced form of textual information extraction with Transformer Encoder, which uses relative positioning and takes distance and direction in consideration as well.

NER in online content discovery

Anything that is related to exploring different types of content should be attributed to content discovery. The content is primarily textual and often attributed to video based aspects for search, as well. For instance, the recommendations on video streaming apps. Content discovery can be regarded as a process as well, owing to a multitude of technological processes it utilizes for making personalized content available to users world-wide.

Content is an integral part of the online ecosystem. From online publishers and web portals to over-the-top platforms all are driven by exclusive content. NLP techniques like this are enabling search engines and recommendation systems with sorting and displaying relevant content to suitable audiences. For opinion mining and Semantic web based content searches and presence, named entity recognition is in wide usage already. Majority of content recommendation or predictive engines work on classifying text with the help of machine learning models (support vector machines, KNN and NB classifier and then further, dissecting the choices on Topic Modeling methodology of LDA (latent dirichlet allocation) and applying to extract semantic and syntactic features of the content.

Content recommenders primarily focus on user content choices based on the search keywords they enter, the user history and associated metadata available for mapping. The platform, however, can vary; the process of the recommendation will be less likely to be different in case of recommendation. In predictive content recommendations, the NER system will offer users with options based on parameters largely as per the metadata, which is prepared as per labeled data applied through machine learning models. Therefore, the entire cycle of content discovery is backed with textual content extracted through ML models. Named entity approach, thus, has powered many popular digital content-driven platforms such as Netflix. It has actively helped in resolving multiple content mining cases for social media platforms such as Twitter.

End Note

Content being the chief ingredient of digital platforms, will continue to rule. For Natural Language Processing tasks like named entities, finding precise information has become feasible.

Artificial Intelligence: Benefits for Automation Testing

AI has been making a lot of noise off late, especially in the context of software development. Of course, this topic is quite wide, but in this article, we shall focus our attention on AI-driven automation testing. Let us start with understanding what is AI and automation testing. Automation testing refers to the process of executing software test cases with assistance from automation-driven testing tools.

As for AI — well, this globally renowned technology is a computer’s ability to learn and improve on its own. Think of it as the tool that is helping mankind build better and smarter machines that can execute a variety of tasks that, till a few years ago, would have necessitated the involvement of a human resource.

The use of AI in software testing makes the software development lifecycle easier. With the application of reasoning, problem-solving, and machine learning, artificial intelligence helps reduce the tedious and manual aspects of software development and testing while automating the whole process.

Now that we have our basics sorted, here are some of the key benefits of AI automation tools.

  1. Cut costs: Provided you pick the right AI automation tools, one can very quickly save time across a variety of aspects. Not only that, but AI can also help prevent errors across processes. All of these factors, cumulatively, contribute to sizable cost savings for the company.
  2. Simplify test execution: Since AI can build intricate test cases within hours, it takes a huge load off QA testers’ shoulders.
  3. Easy maintenance: Maintenance of tests can become a sizable issue for testers, more so when it involves a large-scale product and an accelerated development ecosystem. Such time-consuming maintenance processes can be delegated to AI tools, which can help save a lot of time.

Now, time to see precisely how one can use AI in automation testing.

  1. Develop automated tests: AI tools can easily understand the intricacies of the company’s systems and tools to better comprehend relationships between the document object model’s various parts. To what end? To help testers create substantially better quality automated tests.
  2. Crawling the app: One of the key benefits of AI in this context is that it can crawl the app for countless key data points, such as load times, etc. This helps the AI platform to analyze the company’s product tenet over different development cycles and, eventually, help determine issues, variations, etc.

Finally, let us wrap this up with a quick list of some of the most popular AI power test automation tools in the market.

  1. Functionize: An AI-driven testing tool based in the cloud it helps leverage NLP to create tests. It can be used across a variety of OS platforms as well as web browsers.
  2. TestCraft: A rather popular tool for continuous and regression testing, TestCraft is used in conjunction with Selenium and allows testing teams to develop automated test cases in Selenium. One of its biggest USPs is that test cases can be created using a drag-and-drop dashboard, which means coding skills are not necessary for using this platform.
  3. Applitools: A tool designed for visual UI testing and monitoring, Applitools is driven by Visual AI. This platform can be used by testers with varying levels of skill to gauge the visual facets of the app’s UI. Since it is a regression tool, Applitools is also used to ensure user-rated pages, screens, etc. have not changed during tests.

Now, if you too want to leverage the countless benefits of AI-driven automation testing, it would be a good idea for you to start looking for a trusted automation testing company to help with your project and endeavors.

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