Mediaboss Marketing

For the lay user who does not know much about coding, the most visible change about the internet has been the way websites look.

Over the past decade, websites have not only become more colorful, but browsing is as pleasant a visual experience as leafing through a coffee table glossy magazine about fashion. Elegant themes and templates, well-designed navigation, aesthetic appeal, and, most of all, excellent loading times have contributed to people spending hours browsing the web.

There is only one reason responsible for this change. The evolution of web development from plain pages with hyperlinks (think of Yahoo or AOL homepage circa turn of the millennium) to HTML 5 enabled websites.

At the front end or the browser end, it consists of coding, markup, placement of elements, layers of navigation. At the back end or the server end, it consists of database management, fetching and rendering of images, and, most importantly, network security.

Artificial intelligence the concept is known to most of us thanks to Hollywood blockbusters such as Blade Runner, but not much is understood about its scope.

It is a major evolution in computer science and the realization of a long-held dream the development of programs that learn by themselves. Most of this is achieved through the study of past behavior and using it as a predictor of future trends. It is in its infancy but has already made important contributions to web development through cultivating user experiences that are far more intuitive than what any human could design.

The AI market was estimated to be worth $25 billion in 2018 and expected to grow 45% every year. Statista has predicted that it would reach $126 billion by 2025. Obviously, it is the next big thing, and most organizations look forward to using AI-based web development for better interactions with users and generating a more customized feel.

The most common use of AI in web design can be found in Facebook. Despite Mark Zuckerbergs forecast in 2017 that the use of AI is an existential threat to mankind, his flagship company has been consistently using it for some years.

Have you ever noticed that the more you interact with particular friends posts, the more they come up in your feed? Also, strangely the more likes you get from them. That is because the Facebook algorithm puts their posts in front of the queue, and also vice versa does the same for your posts.

Those friends whom you ignore tend to drop out of the feed. With an average Facebook user having a few hundred friends, this is the only way to serve you content that you would like.

Not only does Facebook use AI for tweaking your feed but for removing objectionable content such as fake news, spam, pornographic content, and other similar material. It is also very efficient at identifying fake accounts that serve a particular objectionable agenda.

Similar technology is being used by Reddit, the mega discussion board, and known as AutoModerator. Amazon uses it to suggest items that you might like to buy or at least browse through.

Grammarly is a spelling and grammar checker that works quite well as an editor. It is not only able to cover several types of grammatical mistakes but suggests alternative words and synonyms that make writing more vigorous.

Why is AI becoming important in web development? It is because we all want more intuitive sites that almost have a precognition of what we require.

These are the most well-known applications of artificial intelligence in web development.

The design of a website layout is tedious and labor-intensive. From Wix to Jimdo, this task can now be outsourced to an AI-based editor.

How does it work?

After you sign up for Wix website builder, you could use a fully functional WYSIWYG editor or simply answer a few questions about the type of website you wish to set up e.g. a blog or a store or a small business site. The Wix ADI would choose a template, modify it, and show you a preview in a matter of minutes.

Adobe Sensei is just like the Wix ADI but on steroids. It connects seamlessly with Adobe Cloud and delivers a perfect website in less time than ever before. With its design element recommendation and automated image resizing using facial recognition tools, it can create a site with the same degree of artistic input as a human.

Source: manychat.com

These are the most visible AI elements present on a website. The first generation of chatbots used about five years back was hardly intelligent and was rather wooden in its response.

The latest versions have become increasingly adept at understanding human language based input. The utilization of these bots has helped to automate the process of understanding client requirements without any need for humans.

Not only are intelligent chatbots able to work 247 without feeling tired, but they are also able to directly integrate the data they collect with the CRM system and allow the business to devise a seamless customer experience.

The principal application of chatbots is to solve technical issues such as configuring a router. They never become impatient and, when used in the right context, are an invaluable tool for customer support.

Believe it or not, AI has started to write code. An ideal example is Microsoft Sketch2Code. All that a web developer needs to do is hand draw a prototype wireframe, and the program can convert it into lines of HTML. The program can recognize navigation layers, buttons, contact forms, and add them as prescribed.

Another example of AI used in web development is Deep Code, a program that bug tests HTML by thoroughly analyzing it. Bug testing is expensive, and the use of the Deep Code reduces the number of manhours needed.

Bayou code search engine developed by Rice University can intelligently search Github repositories to find if a similar project has been executed before.

In the end, what these web development tools perform is take away the task of writing massive chunks of code that was the most expensive part of web development by automating the procedure.

SEO strategies in use are heavily dependent on humans for the analysis and interpretation of data. Often it takes a long time for SEO to have an effect since it is always playing a game of catch up. An action plan is implemented, and the result is observable after 2-3 months.

If it fails to live up to expectations, then another is implemented. This makes SEO both expensive and time-consuming. The use of data mining and superior number crunching using AI can maximize the use of website data and improve its design.

One of the most well-known examples is Market Brew, an AI-powered search platform that can predict a websites Google ranking after two months.

As mentioned above, Amazon recommendations are quite well known. But not everyone owns a gazillion dollar worth e-commerce site such as Amazon to employ a team of AI engineers. Fear not because recent technological progress has meant that such advanced applications are within easy reach of micro and small business owners too.

Using plugins such as Wootomation, you could have your site recommend products to customers based on their browsing habits, just as Amazon does. Data is the new oil. More specifically, data about your potential customers is what makes or breaks a marketing strategy.

AI is superior to conventional website tools in scraping this type of relevant data and sorting it as required. The highly structured data analysis allows your marketing team to use a more precise approach in product recommendations.

Integrating AI into your website gives you several advantages over your competitors. Essentially you would be able to understand your customers requirements more thoroughly. This allows a customer to feel as if the store was created primarily with him/her in mind.

For those who own an ecommerce venture of some kind, such as an online store, it is essential to optimize your web design to meet these new criteria. An AI plugin Watsonfinds is an exciting tool that predicts the emotion your users would feel after reading a text such as product description.

Internet users are an impatient bunch. We have all become accustomed to finding the information we need instantly. Due to this reason, voice-based search has become quite popular with Apple Siri and Google Assistant being used daily by millions. The use of AI and ML in web site development does not only mean that your site contains these elements but that your site can respond to search made using AI.

With the quick rise of artificial intelligence, it is evident that web developers will no longer be simply programmers of HTML and CSS. Much of their work would be done by AI, and their task would be to supervise the application of relevant AI tools in specified areas of web development.

The use of automated code generating tools and plugins that can integrate efficient recommendation engines has changed the technological landscape. The next generation of web developers would be proficient at the use of machine learning and data mining to build superior web apps that improve sales as well as user experience substantially.

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At the Crossroads of Technology: How Artificial Intelligence Web Development Will Change in the Future? - Qrius

Today we will let you know how artificial intelligence will change the future. Sometimes you start work, and in a domino-like way, it gets going and going.

Its seemingly feeding off itself. Also, quickly moving in an almost unstoppable way. For instance, you might be close to those famous YouTube videos of a beaker. That will directly gush out foam when loaded with a special liquid. It is related to a type of chain reaction.

History shows that as the first creation of the atomic bomb. Some scientists included were concerned. What if the nuclear shell set off, it might start a chain effect. That is due to lighting a fission burst in the air and create a globally vast fire.

There is a venue today where researchers and scientists are bandying about a chain reaction phenomenon.

Do people usually ask what artificial intelligence is? How will it bring change to our world? Any vehemently say that we will likely have an AI intelligence explosion that will someday happen. There are many risks that this might occur around between 2050 to 2100.

To be fair, nobody knows. Honestly, it might be trash, and there will never be an AI intelligence burst, never. Or, there might be an AI intelligence blast. It will happen in 2500, far off in fate. None of us today will be about to see it happen. Except I assume, you soon find a wonder cure to end aging.

Perhaps those prognosticators are right. It will occur in the next 30 to 80 years. Get yourself alert. Lets get a closer glance at the claimed chance of an AI intelligence blast in any state.

Todays Artificial intelligences definitions are indeed not on a level with the human mind. The digitally based AI of modern times can do some very complex and exciting stuff. Yet, it is at best irrational AI. That can only run in short-range or areas. It needs any similarity of practical logic linked with human intelligence.

The real AI can unreservedly cross the Turing Test. A simple method for solving out if something shows intelligence. It is both popular and vile. Usually, it pointed to Artificial General Intelligence. There isnt any AGI now. Various efforts began to trade Artificial General Intelligence.

Heres the thing. Suppose we humans act to build AGI, the real AI. Yet, no matter how hard we work. No matter how strong we work at it. We finally dont reach the vaunted AGI alternatively, if you worry that real AI will choose to wipe us out or restrict us. For trick theories about how AI might end-up being our nemesis or be our best friend ever.

All right, lets think for the time that people dont have what it gets to make real AI. Does this imply that well always not have exact AI? Point to request the chain reaction idea. In theory, maybe we can do an enough intelligent AI mode. Hence, it then dives into an intelligence explosion. Thus, we didnt have to solve out what it takes to obtain AGI. Instead, we only wanted to put the proper Artificial Intelligence future mutually to spark the chain effect that would guide the right Artificial Intelligence.

You could tell that we might be ready to spark the arrival of real AI. Okay, maybe, we could design to have the chain effect. In which matter, kudos for being clever to solve that out. It can also be that we dont have any concept of how to reach the point of starting an intelligence chain reaction. Thus, our AI works just abruptly and suddenly get into an intelligence firestorm by its own choice.

If that comes to pass, it could result in a glance, in a moment, so fast. That we didnt even know it was occurring. Some accept it might be a more common issue, one that could get its time. Meantime, we might be looking in wonder as it opens. How far along might the AI intelligence burst run? Some think that artificial intelligence in computers will end when it enters the human brains full equivalent.

Why so? Because it stated that maybe humankind shows the highest possible skill. There isnt anything behind it. In contrast, another aspect is that the AI intelligence noise will rush right past the human brain. It will invade somewhere around so-called superintelligence. It is also known as referred to as ultra-intelligence.

One hope is that this AI will assuredly be behind our skill level. Yet, it will itself also have a limit or last edge to it. It wont be any amorphous knowledge that is all-absorbing. There are those, though, which implies the AI intelligence explosion might be an endless chain reaction. AI intelligence might keep running and running, growing wiser and wiser, doing so for the rest of infinity.

What would it mean for humankind if the AI data report was something that once started was ever-expanding? It can be helpful, or it can be not very correct. Maybe the AI brain that makes the AI skill with the AI super-duper mind. That allows superior AI intelligence, ad infinitum, and will keep getting better and better.

People argue in support of the negative effects of Artificial Intelligence skill issues. They are apt to ask what a next-level technology can believe, do, know, or state. That those of us with average intelligence cannot think, do, or form. The usual answer is that skill could probably solve cancer, solve world hunger. It can also explain how the world began. Again, honestly answer all nagging open issues and questions that humans, having only routine intelligence, have yet to solve.

A flourish is that it could be that our average skill. That is lacking. Even to know what future technology could think about anything. Thus, we dont know what a superintelligence. Let alone a super-duper mind could think of everything.

Its too far behind our pay class, as they say. We might be psychic ants in contrast. Maybe try to push us up the intellect stairs, or might select to grasp us as pets. Maybe on Earth, or perhaps lead us someplace else. It might guide us to new skills or choose we arent worth the stress and erase us. The AI skill would either allow our existence, maybe aid our living.

Are we maybe venturing too much by trying to achieve all advantages of Artificial intelligence explosion, possibly? There are two surfaces to such a coin. The AI skill might clear us out, an possible adverse result. Or save us by showing us how to be calm and co-exist with AI and with each other.

A base to the AI field on an AI intelligence explosion first published on paper. It was entitled Speculations Concerning The First Ultraintelligent Machine in 1965 by John Good Irving. The ultra-intelligent machine is well built. It will be the last discovery that man needs make since it will lead to an intelligence explosion. It will unimaginably transform society.

Well, we did not reach there yet. Though many are working, you might get excited. Some read those notes in differing ways.

For instance, the rise of an AI skill would be the last discovery. That humans needs make is open to shifts in meaning.

Such as:

A different added twist is whether we might get tangled with the AI skill.

Here is the plan. If the AI grows super-intelligent, perhaps this will rub-off on people. Think how sometimes when with someone else that is sensible, it boosts your intellect. You glum off or grasp or somehow expand your mind due to the interaction. Exposure to the other persons intelligence. Doesnt it seem logical to expect that if we did achieve AI skill, it would ergo inevitably lead to an increase in our intelligence as a species?

Imagine you assume that the mind has a strictly bounded intellectual skill. And if we are there now, the counter-argument is that the AI still cant arrange much on our physical barriers. Thus, we arent going to grow any further intelligence.

Maybe the AI skill could give us some study lids. It would grow our otherwise lacking and brain-constrained intelligence upon sitting on our head.

One extra quick point worth adding here is the alleged coming of something referred to as the AI singularity. The singularity is considered the time and energy at which AI grows sentient. You might be thinking that indeed, the curiosity must, therefore, be the point. You are going through the time of the AI skill explosion.

Perhaps, perhaps not. Imagine we dont have an AI intellect system and, in another way, reach curiosity by handcrafting AI to that level.

Another outline is that we do reach the deviation. At that time, the AI itself knows that theres more to be done. It somehow can spur or spark an intelligence explosion to further its evolution (which it chooses to do, at its choice). The basis is that the curiosity and the AI skill explosion are not certainly the same. Though they have many potential in-common touch-points, they arent necessarily conjoined. Though, despite this seeming apparent notion, some still argue they are most undoubtedly coexistent and co-dependent. In upcoming years, the world will get to know the artificial intelligence benefits to society.

Lets tally to this study the role of AI-based real self-driving cars.

Right self-driving cars are ones that the AI drives the vehicle wholly on its own. There isnt any person guide during the driving task. That is how artificial intelligence will change the future.

These driverless vehicles consider Level 4 and Level 5. In contrast, a car that requires a human driver to co-share the ambitious effort usually view at Level 2 or Level 3. The vehicles co-share the driving task. These also define as semi-autonomous. It typically contains many automatic add-ons that related to as ADAS (Advanced Driver-Assistance Systems).

There is not yet an exact self-driving vehicle at Level 5. We dont even know if this will be possible to achieve and how hard it will take to reach that point.

However, there is debate over whether this trial should permit or not. We are only life-or-death guinea pigs in research taking place on our highways and byways. Some point out).

For Level 4 and Level 5 decent self-driving cars, there wont be a personal driver needed in the driving duty. All tenants will be riders. AI is performing driving skills.

There is a lot there to talk about and argue about these things.

One aspect is that it shows unlikely that the AI self-driving wheels devised today will offer the AI intelligence explosion.

It makes up the whole extra discussion about whether the struggle to present the right AI self-driving machines. We need to discover and codify AGI or true AI. If that so, we might be in for a massive wait to view real self-driving vehicles.

All said, the idea of a mind explosion indeed seizes our vision. Study of the wonder we would all feel if self-driving cars suddenly started to have their AI driving modes provoke an intelligence explosion. They decided to be our car drivers no longer and instead become the drivers of our existence and future. It almost makes your head explode.

Read more:
How Artificial Intelligence Will Change The Future: AI in Self-Driving Cars - Techiexpert.com - TechiExpert.com

The ever-increasing adoption of AI-powered systems in all areas of the economy could either lead to potential discrimination against women or open up new career prospects. Lets find out what needs to be done to achieve the second scenario.

For years, there have been debates that artificial intelligence will change the labor market. Nowadays the focus has shifted from the inevitability of the future to an assessment of how and when the world will change and what it means for all of us. There have been several attempts to create AI, but Artificial General Intelligence the one portrayed in films and books is still a long way from being built. What do we have now?

There are many narrow smart algorithms that solve niche tasks and can find patterns in large amounts of data.They help to make decisions on, for example, whether a suspicious transaction should be stopped or allowed, where cargo should be sent, or whether a loan should be granted.The probability of a mistake in these systems is lower comparing to a human beings performance.Further development of algorithms capable of supplementing or replacing human decision-making will reduce the number of roles requiring routine decision-making, which are often taken on by women. It is already difficult to imagine a bright future of tour operators, taxi dispatchers, clerks, and some other professions. According to a forecast made by IMFresearchers, 11% of jobs held by women will be automated within the next two decades. The focus will also shift into designing these algorithms.

More and more decisions are made automatically and, sadly, not in womens favor. For example, two years ago Amazon, the largest online retailer in the world, was forced to dismiss an automated CV-reviewing system because it discriminated against female developers.This situation occurred because the data used to train machine learning models represented a hiring history for 10 years. At that time, the majority of candidates were male, but this does not prove that men are better at technical work.Considering that algorithms are becoming in charge of making an ever-increasing number of decisions, similar side effects can be an issue.

It is widely believed that algorithms just find patterns within an existing data set. However, focusing on data, it is easy to forget two aspects of this problem: the limitations of existing algorithms and, more importantly, the role of people who train them. Most algorithms just catch the correlation within the data, without understanding anything about it. Even the best data is meaningless as long as people who can solve problems and ask the right questions are not involved, so the algorithms will simply reflect our own biases.

Developers of AI systems must carefully monitor the way datasets are formed and track any biases that might occur.Mistakes made by the algorithm should be tracked: sometimes the percentage of errors is quite low, but they could be related to one group of people.For example, a scoring model systematically refuses to give loans to residents of Chinatown. Such behavior is particularly dangerous because we are shifting more and more responsibility for decision-making onto the system. Some advanced algorithms which are currently in use cannot even be interpreted; i.e. we are unable to understand why a certain decision has been made at all, or which factors influenced it.

Its interesting to note that the rise of computer science is strongly connected with women:Ada Lovelace created programming, Betty Holberton designed the first general-purpose computer, and Margaret Hamilton developed the software for the Apollo project.Today, only15% of specialists in the field of artificial intelligence around the world are women, which is disappointing for many advocates of gender equality.Some people worry that the future will be created by men for men.The presence of female analysts eases the situation since they can spot the problems with products that are not easy to discover if you dont face discrimination on a daily basis.

Women already spend a lot of energy ensuring that they are treated honestly and fairly. Perhaps a legal base is needed. Some regulatory bodies have already taken up this issue. For example, the EU General Data Protection Regulation (GDPR) requires companies to explain the reasons behind decisions made by AI systems and to monitor them to prevent any discrimination. Currently, only large companies and governments can afford the software and hardware required to launch the most advanced AI models. This barrier could be used to help set up some basic rules before the technology becomes widely used.

Many futurists are optimistic about womens chances of success. Why? The most valuable skills in this brave new world are those that algorithms cannot master: the use of soft skills and emotional intelligence. As such, 83% of organizations surveyed byCapgemini believe that emotional intelligence will be a prerequisite for success in the coming years. The new labor market will value compassion, multi-tasking, cooperation, and empathy traits that are traditionally associated with women, meaning that women will have greater chances of being hired. However, there is a nuance here. To succeed in an AI-ruled world, a great work of retraining and adaptation is necessary. After all, it will be not the strongest and intelligent that survives, it is the one that is most adaptable to change.

Extra risks for women will be caused by an inability to adapt.The new challenges of automation are added to conventional difficulties, creating barriers to gender equality. Nowadays there is a need for mobility and flexibility among employees as it is now easier to change profession, employer, industry, and even country than ever before. Women are often less mobile than men, because of their second job at home. Whats more, they are oftenexcluded from networking, which allows men to improve their skills, find mentors, and new employment opportunities.

On the other hand, companies will be more motivated to push their employees to develop skills that cannot be automated. If women are proactive and able to adapt, they will have more employment opportunities.Bear in mind that being good at something no one needs is the biggest waste of time. In the future, two categories of skills will be most important: the ability to negotiate and standing your ground, and the ability to see trends and build strategies.

Organizations need employees who can talk to both machines and people. Recently, technologies have been significantly democratised, meaning that you do not need a PhD to work with AI.Today is the best time to gain insight on the foundations of a technology which at first seems complicated, even if your profession is not connected with data analysis at all.

It would be useful for executives to at least make themselves comfortable with the methods of machine learning for analyzing different types of data. Such analysis will make it possible to assess use cases for AI implementation in a specific area and to build an effective strategy for digital transformation. A deep dive into the topic and acquisition of practical skills, such as programming and creating machine learning models, will be useful for those who spend a lot of time running routine analysis and who want to automate the decision-making process.

Implemented projects from industries that are more mature when it comes to AI adoption, such as IT companies, banks, and retailers, can be good sources of inspiration. Even such a conservative industry as manufacturing has started digital transformation programs for production optimization, for example, to forecast machinery breakdowns.

According toIDC forecasts, by 2021 AI systems will be implemented in one form or another at 75% of enterprises. So, the relevant skills will be required in almost all industries. Allocate an hour and watch a video on the principles of machine learning. Only by having a clear understanding of how it works, it is possible to ask the right questions and set goals. Knowledge of a few principles is more important than understanding detailed implementation ways for all algorithms in a software package.

Once you understand the basic principles, its important to understand which tasks are the most relevant for applying AI and to try delegating some responsibilities to the machine to increase the quality of work and performance. By studying successful scenarios of AI application, many people realize that this technology can be used for a wide range of processes and tasks that involve working with large amounts of data.Women should learn how to find prospective use cases for new technologies, have sufficient motivation to look for answers, and take under control their education and career.

Data analysis skills are relevant to a huge number of professions, from marketing experts to mechanics working with a CNC machine. For example, AI can identify anomalies in a technological process. Currently, there is a lack of personnel in data science and artificial intelligence space. The problem is so urgent that large companies are offering free platformsfor studying. After the training, you may not be able to perform as good as an experienced data scientist, but you will be able to translate a task from a business domain for the researcher, for example, regarding an analysis of CV-collection or even writing music.

According to the Institute of Electrical and Electronics Engineers, an international non-profit association of specialists in the field of computer science, The need for specialists in artificial intelligence has revealed itself in almost every area of life. Experts are urging for AI training for specialists in areas such as healthcare, agriculture, and logistics.

Conventional methods of working are rapidly becoming obsolete. Humanity has to choose once again: to lament about fate and talk about the rise of the machines or to get ready for the future and acquire the skills that are in demand. The Luddites have lost in their fight against the machines, simply because machines are economically efficient. And, as we know now, after all the number of jobs created thanks to the adoption of machines has been far greater than the number of jobs gone.

The most insightful employees were not afraid of industrialization, and made use of and reaped the benefits of new technologies. So, why cant women do the same?

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Artificial Intelligence and Discrimination: To Be or Not To Be? - IoT For All

Description:

The Barcelona Institute for Global Health (ISGlobal) is a cutting-edge institute addressing global public health challenges through research, translation to policy and education. ISGlobal has a broad portfolio in communicable and non-communicable diseases including environmental and climate determinants, and applies a multidisciplinary scientific approach ranging from the molecular to the population level. Research is organized in three main areas, Malaria and other Infectious Diseases, Child and Maternal Health, and Urban Health, Climate & Non-Communicable Diseases. ISGlobal is the first global public health centre to have received the Severo Ochoa distinction, a seal of excellence of the Spanish Science Ministry.

What we are looking for:

We are seeking a postdoctoral researcher to join the new Biomedical Data Science Research Group of Dr. Paula Petrone at ISGlobal, created in the framework of the Severo Ochoa Program, with the vision of leveraging data analytics and artificial intelligence to improve health care outcomes. This is a unique opportunity for a motivated data scientist to contribute to the digital transformation of biomedicine and carry out research that has social impact and responds to unmet medical needs.

The postdoctoral researcher will develop novel research that applies advanced analytics and machine learning approaches to biomedical data and real-world evidence, IoT and digital therapeutics, bioinformatics and health informatics. An ambition of this team is to implement predictive modelling as well as explainable AI methods to understand disease drivers leading to early disease diagnosis.

Previous experience in the biomedical field is not a requirement but highly desirable. Interest is additionally expressed for candidates with demonstrated experience in at least one of the following topics: bioinformatics, health informatics, medical imaging, computer vision, machine learning, natural language processing, deep learning and explainable artificial intelligence.

Main duties:Development of data science models to predict and to understand human health and disease, to augment clinical decision-making and guide the development of new therapies and diagnosticsCarry out high-quality research independentlyHelp develop robust model training and data infrastructure to support collaborative data science projects at ISGlobalPublish research results in scientific journals and in national and international conferences.

Competences:

Candidates are expected to:

Conditions:

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Postdoctoral researcher in Biomedical Data Science and Artificial Intelligence Female candidates are encouraged to apply - ReliefWeb

Today, artificial intelligence (AI) applications are reshaping large and small companies products, services, and business models. Decision makers need to make critical hardware and software choices to achieve AI strategy success. As smaller firms to global enterprises assess their business cases and work flows the need for highly-scaled servers and cloud platforms are no longer the only option to build a successful AI infrastructure.

The study results summarized in this white paper, Using Workstations To Reshape Your Artificial Intelligence Infrastructure, show that firms are already using workstations to lower the cost, increase the security, and speed up their AI infrastructure. The addition of workstations into a firms AI workflow allows servers and cloud platforms to be tasked with business cases that require more robust computing while workstations take on tasks with longer time frames and smaller budgets.

Download this white paper, Using Workstations To Reshape Your Artificial Intelligence Infrastructure, to read more about how highly-scaled servers and cloud platforms are necessary to run applications that must be run at top speed and where cost is not a barrier. However, workstations provide excellent support for applications where data security is a priority but where timelines are more flexible or cost is a major consideration.

Originally posted here:
Using Workstations To Reshape Your Artificial Intelligence Infrastructure - insideHPC