Future of Practical AI

February 16, 2021


We are in the new phase of the 21st century, a phase where the champions will be the organizations that have the data and the strength to use data in business processes. Only 1% of the available data has been utilized practically.

As there is a lot of information available on windows servers and windows cloud computing that is yet to be commercialized. The companies that know to utilize information will stand apart and succeed by getting the most value out of them with the help of artificial intelligence.

On a large scale, machines are replacing human work, as machines are far more efficient at certain functions and eliminate possible human errors. Infusing AI in machines is like having a human mind with a robotic body, i.e. it will have the whip-smart thinking power and untiring puissant work mechanics.

This tech amalgamation is transforming the world at a fast pace, as tech giants such as Google, Salesforce, Tesla, and many others are adopting AI into their products and services. AI has a lot to offer, the ability to grasp data continually while learning, scanning, and adjusting, it can provide services more flexibly and cost-effectively.

1.Introduction

Right from being in imaginations only to getting featured in science fiction movies and tales, automation and self-thinking computers have made people fascinated and awestruck.

Today, almost every big-scale tech-businesses are spending huge resources on AI. Famous personalities namely Bill Gates, Elon Musk, Jeff Bezos, Sundar Pichai, or everyone is pondering over the possibilities and impact of this future innovation. But, the question arises, what is Intelligence and how machines can have it?

Intelligence is the measure of an agent’s ability to acquire and apply knowledge and skills in a wide range of environments. Artificial intelligence (AI) is the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions.

All the tasks which were once considered to be time-consuming and required fewer skills like data typing, text editors, maps, etc. are already automated to date. Now, the more focus is on the tasks which require more complex algorithms and data like face and voice recognition, self-driven cars etc.



The Internet has become less of an entertainment and more of a utility, reaching nearly 5 billion people, according to a study by Domo. Amenities such as GPU cloud server, google search, and Wordpress Cloud are in rising demand. GPU server price is hefty, but NVIDIA GPU cloud is economical.

E2E Networks’, one of the noteworthy GPU Cloud vendors has been offering world-class GPU infrastructure powered by emerging NVIDIA GPU technologies, NVIDIA T4 and NVIDIA Tesla V100. It accelerates workload and can be availed at inexpensive prices. NVIDIA Tesla v100 price starts at 55,000 per month.

Artificial Intelligence works on algorithms, establishing the connection between data. Barry Smyth, Computer science Professor at University College Dublin, says: "Data is to AI what food is to humans." So, in a more digital world, the exponential growth of data is constantly feeding AI improvements.
Since the modern WordPress hosting price is getting cheaper and the WordPress cloud is easily accessible, there is a hike in the availability of data. Jim Short, a lead scientist at the San Diego Supercomputer Center, estimates a data growth rate of 40 percent per year.





1.Artificial Intelligence V/s Machine Learning

Machine Learning, a term coined by Artur Samuel in 1959, meant “the ability to learn without being explicitly programmed.” It is a subset of artificial intelligence, which refers to the concept that computer programs can automatically learn from and adapt to new data.
It requires millions of pictures or documents, draw a pattern connection and carry out future tasks.
It is easy for humans to program computers to do a task step by step, for simple tasks, but we need the computers to learn on their own by comparing and analyzing data, that’s where machine learning comes into play for complex advanced tasks.
Today, Machine learning has 2 major tasks, first to classify data based on certain criteria and second, to predict future outcomes. Deep learning, a machine-learning technique includes speech recognition systems and is one the fastest-evolving AI technique.
Machine Learning requires a lot of time to collect, read and analyze data, that’s why we use GPU machines and GPU servers.

E2E Networks has been offering EOS or E2E Object storage, an SSD based object storage for handling machine learning and deep learning workloads.

2.Rise of AI Machines and its Impacts

AI is growing exponentially for a few years and it’s impacting our lives every day, without our knowledge. Right from search results on Google, Instagram and YouTube, predicting weather and guiding maps, etc. we are all surrounded by AI.

When talking about commercial importance, Accenture says that the AI technology's impact on business will boost labor productivity by up to 40%. It includes all the repetitive and less engaging tasks. Now, almost every service sector is becoming autonomous

AI services are far more efficient and effective compared to manual ones, thus, saving time, cost, and effort. It can reduce operating costs and save a huge amount of money. One estimate from McKinsey predicts big data could save medicine and pharma up to $100B annually. Human workload and burden will decrease cumulatively, improving living standards.

There are both sides to a coin, AI comes with a few cons too. The most important issue is that the bottom 90 percent, especially the bottom 50 percent of the world in terms of income or education, will get badly hurt with job displacement and unemployment. This will dramatically increase unemployment ratios, impacting the GDP of the country.

Another major concern is related to the safety and privacy of the data since this technology requires loads of data, and it’s a common threat that some companies may use the personal information of people.





3.1 AI for WordPress
AI can offer a smarter user experience to the users helping with WordPress search, grammar checks, improving conversions, and boosting eCommerce sales, with WordPress hosting. This can be accomplished with WordPress plugins using AI.
One such related offering is the CDN service offered by E2E Networks assuring ‘CMS made simple’. It is a global network helping in distributing content & web pages to users with minimum latency resulting in enhanced customer experience.

3.AI Holds the Power to Change World Economy
The use of artificial intelligence in enterprises has tripled during the past two years, requiring IT leaders to re-evaluate their core infrastructures and optimize for AI productivity. The adoption of AI will necessarily and unavoidably change the nature of work.
E2E Networks’ offering NVIDIA A100 is a Universal AI Infrastructure System used for enabling Enterprises to integrate training, inference, and analytics. It is the world’s first AI system fabricated on NVIDIA A100. It offers the benefits such as higher throughput, maximizing GPU machine utility, and improved end performance of the model.
AI is making mass-customization possible by leveraging Machine learning-enabled hyper-personalization to provide better customer service and better products and solutions.
Different industries have been harnessing the potential of AI. It is for Stock Market prediction and also for research purposes in the medical field.
Artificial intelligence can efficiently increase 16 percent or around $13 trillion by 2030 to current global economic output-- an annual average contribution to productivity growth of about 1.2 percent between now and 2030, according to a September 2018 report by the McKinsey Global Institute on the impact of AI on the world economy.

4.Cloud Artificial Intelligence And Machine Learning

AI and ML have been emerging technologies and have shown their impact on Cloud applications alike, let’s see how:

5.1 Machine Learning with Cloud

Cloud Machine Learning Engine can run machine learning training jobs and predictions when being hosted. E2E Networks’ offering high memory cloud service works on training and predictions independently by leveraging the GPU and TPU infrastructure.
The resultant of this is a fully-trained machine learning model that is hosted in other environments such as on-premise, own cloud infrastructure as well as public cloud. It can deploy a model trained in external environments. Machine Learning Engine deployed on cloud automates resource provisioning and monitoring along with their versions.

5.2 Artificial Intelligence with Cloud

Mckinsey estimates that across 19 business areas and more than 400 potential use cases, AI could create $3.5 trillion and $5.8 trillion per year in value. Businesses and organizations generate a humongous amount of data. A study by Deloitte University Press predicted that the digital universe will contain over 44 Zettabytes of data by 2020.
AI tools help to manage, monitor and maintain data in public and private cloud systems. It creates a backup of data, identifies the condition of hardware, and makes it safe from virus and malware attacks.
The public cloud industry makes over $200 billion and is predicted to be worth over $1,250 billion by 2025. AI application helps in moderating and handling server crashes.
It is cost-effective since it doesn't require thousands of storing hardware. But, it requires enormous power for complex algorithms processing and handling tons of GBs data.
This data can also be used in certain machine learning technologies, which can use this data, and can learn from them. This will leverage innovation and development.
Digital assistants such as Alexa, Cortana, Google Assistant and Siri amalgamate advanced Artificial Intelligence algorithms with cloud-computed storage for providing seamless user interface and service.
Internet of Things (IoT) is the next-generation technology, which relies on the principle of 'smart machines'. We can store the data generated by all the devices and can use AI algorithms to command and use them.
Within a few years, all the small scale and large scale businesses will be seen to use AI with cloud storage.

5.3 E2E Cloud Offerings for Intensive Operations such as AI and ML

E2E networks has four significant cloud offerings:
i. CPU Intensive Cloud
ii. Windows SQL Cloud
iii. Plesk Windows Cloud as cloud VPS windows
iv. cPanel Linux Cloud as cPanel cloud Server
All the above E2E products have been designed for high-performance computing, simplifying machines, analytics and are capable of deploying a secure VPS server.

5.Industries





Transportation
All the modes of transport including trucking, aviation, marine, etc. will be self-driven, which will be much efficient, safer, and time-saving. In 2017, the global market for transportation-related AI technologies reached $1.2 to $1.4 billion, according to estimates from global research firms. It could grow to $3.1 to $3.5 billion by 2023





Manufacturing
Andrew Ng, the co-founder of Google Brain and Coursera, infers that, “AI will manufacture, control quality , reduce design time, and materials waste, improving overall production reuse and performing predictive maintenance.” It can help in quality checks, generate designs, regulate machines, etc.

Healthcare
According to Accenture analysis, when combined, key clinical health AI applications can potentially create $150 billion in annual savings for the US healthcare economy by 2026. Growth in the AI health market is expected to reach $6.6 billion by 2021. AI can be used for early detection, diagnosing, and treatment of diseases. AI devices and machines are developed for imaging, measurement, and arrangement of health information.






Education
AI can be employed in the education field to gauge a student’s performance, and give him personalized content, i.e. the right resources and study materials. It can help the visually challenged students by voice recognition and text-to-speech translation. It can help assess assignments and papers. GPU cloud and dual GPU create high- resolution graphic interfaces to make learning intuitive and interactive. Nvidia server GPU and Nvidia v100 are used since Nvidia GPU cloud pricing is lower and it is better than other GPU servers.






Customer Services
AI allows a better personalized user experience, with chatting using bots, analyzing and optimizing product recommendations. It can predict the product delivery expectancies and customer reviews. It can be used in place of human agents, saving costs and labor. Vala Afshar, Salesforce’s Chief Digital Evangelist, predicts that “The line-of-business that is most likely to embrace AI first will be the customer service – typically the most process-oriented and technology savvy organization within most companies.” GPUs are used to make this process easier.







Military and Defense: AI can be used to make strategies, operational and tactical plans. It can be used to detect enemies in places where the conditions are harsh in terms of weather. It can improve missile targets with high precision. AI cameras can be used to detect unusual activity and enemies. But since military data is highly confidential, the best windows GPU servers and virtual private server with windows OS and NVIDIA GPU shall be used.






6.The Sky Is No Longer The Limit (The Future Of AI)

The future of AI is indeed beyond our imaginations, and it’s going to impact every industry and every human. Only 23% of businesses have incorporated AI into processes and product/service offerings today, according to Forbes. AI will not only be limited to search recommendations and face recognition, but it’ll soon be a part of our overall human experience.

AI holds the potential to change humanity. AI will be used to give us powers of language translation and augmented creativity. Machine translation technology will help humans understand and communicate in many languages. Certain shop sites, WordPress servers and WordPress web hosting also use AI and are expected to grow in future.

More accurate Face recognition features are developed. It’ll improve the security domain incrementally and can be used to identify any missing person.
Humanoid Robots' development is on the surge. It’s one of the most in-demand AI technologies since it can be used both domestically and in industries.






7.Conclusion
Artificial intelligence has acted as the main driver of emerging technologies like big data, robotics, and IoT, and it will continue to act as a technological innovator for the foreseeable future.
By 2025, the AI market will take a leap to a $190 billion industry, according to research firm Markets and Markets.
AI is the new electricity. It has the potential to transform every industry and to create huge economic value.
Russian President Vladimir Putin rightly said that “Whoever becomes the leader in this sphere [AI] will become the ruler of the world.”
Ray Kurzweil, Google’s director of engineering, forecasts that by 2029 machines will reach a human level of intelligence.
If governments, universities, and corporations work together to encourage education and innovation, all nations and all people have an opportunity to be part of this new AI economy.
“AI offers us unprecedented opportunities to engage consumers in new and different ways. Today we have massive datasets at our fingertips as well as the extraordinary processing power to extract patterns, connections, and meaning from that data to get to the intent of consumers.”- says Devin Wenig, President, and CEO, eBay.








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