The Contribution of IoT in Automation Industry

 Growing technologies and expediting innovations are constantly changing the makeover of the world in some form or the other. One such technology is IoT (Internet of Things). This blog/article discusses the growth of IoT in the automation industry.

It is quite obvious that IoT is responsible for bigger changes in the life which we hardly imagined. It also plays a key role in the automation industry as it helps in creating and streamlining productive, responsive, and affordable system architecture.

IoT

Simply putting the definition, IoT connects different devices via the internet and therefore we can share data which automates the business processes comprehensively. Automation industries especially the distribution and manufacturing industries have to use a huge amount of sensors into devices, so connecting them with the internet helps in reducing the production cost, time, efforts, and enhancing lean manufacturing. IoT framework lets the conversation happen directly between interfaces of machine-to-machine which eases the process of data transfer. Quality checking has become easier than before because equipment and processors can monitor faults in the devices.

IoT is the Key Player of Smart Device Manufacturers

The supreme factors in the IoT industry are actuators and sensors. These work on the measurement of physical variables which are following the commands from magnetic, thermal, or physical detectors and these are the major components. The impact of IoT rose because of its ability to use devices to their fullest capacity at an exceptional level. The goal of leveraging IoT is to make devices communicate effortlessly and without friction. Some examples can be smart lights, smoke detectors, and thermostats.

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Well, clouds sprint on Data Centers!

 

 

A Data Center (DC) is a provision used to lodge digital systems like workstations, personal computers and various other correlated units such as storage and network components. A DC normally consists of backup electricity supply, redundant data link connections, ecofriendly environment which includes power-saving systems, proper air conditioning and surveillance devices. Generally, a large DC uses a lot of power, almost as much as a small town and is a conglomeration of multiple IT-equipped elements that include server racks, repository elements, networking devices, switches and firewalls.

Data Centers should also ideally contain sufficient infrastructure such as power distribution and backup of electricity supply system, including UPS, backup generators and much more. A DC should also be properly ventilated and there should be appropriate cooling systems such as ACs where the servers and other workstations are present, and competent provisioning for network carrier and connection.

There is a major difference between a DC and a Cloud. A Cloud basically is an off-premise computing technology that happens to stock data on the web, whereas a DC is an on-premise hardware space including a stack of racks and servers that store data on institution’s local network. Although both types of computer systems can store data; as a physical unit only a data center can store servers and other equipment. DCs are not characterized by their physical size. For instance, major organizations like Oracle, Twitter and technology giants like Google may use a huge amount of space in a DC while small-scale businesses operate well with a limited number of servers and storage capacity connected and enclosed within a convenient room.

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Machine Learning Trends in India

 Case 1: Netflix Using Machine Learning

There are different cases in which Netflix uses machine learning which has had a scalable impact leading to a permanent change in the technology landscape and user experience for many users. The adoption of AI-related solutions by Netflix is now growing stronger with time.

Some of the best Use Case of Machine Learning by Netflix includes the following-

i. Personalization of Movie Recommendations:

Netflix uses the watching history of other users who have a similar taste for recommending in what the user may be interested more in watching next, to engage the user and leading towards monthly subscriptions for more months to come

ii. Personalized Thumbnails and Artwork:

By using thousands of video frames from an existing movie or show, Netflix uses it as a starting point for the thumbnail generation. It also annotates the images and ranking of each image are done to identify the thumbnails that have the highest likelihood resulting from the user’s click. The calculations are based on what others are similar to the one clicked by use. One of the findings could include that the users who like a particular actor/movie genre are more likely to click those thumbnails which have similar actors or image attributes

iii. Post-Production of Movies (Movie Editing):

Use of historical data for cases of failure of quality checks in the past. Also, predicting in what cases, the manual checks would be most beneficial, which otherwise could be a very time consuming and laborious task

iv. Streaming Quality:

By the use of past viewing data, Netflix predicts the bandwidth usage for helping it in deciding when to cache the regional servers for fast load times especially during the peak or expected demand

Netflix Earnings Projection

 

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AI and Cloud Computing - Future of Technology!

 

 

Artificial intelligence and cloud computing are progressively similar to discuss the two most loved components in a single theme. We should envision for a second that cloud computing and AI companies are irrelevant. The overall AI market should be worth about $60 billion by 2025. Let alone be, the market was around $2.5 billion close to the completion of 2017, it is one of the speediest creating markets on earth today.

There is no such industry where Artificial Intelligence has not been apart. Ranging from industries like Hospitals to Tourism. It is proven that AI can be formulated in such a way where it can exactly mimic a human and its behavior. This development is driving certified change wherein the overall spending on intellectual and AI structures is dependent upon to augment at a yearly advancement pace of 50.1% through to 2021.  

The ascent of cloud computing has exhibited being a critical factor in developing all business areas and the name 'cloud-local' is presently worn as an image of regard. For new organizations, the ability to move directly to the cloud infrastructure has empowered them to hop in front of their rivals, huge numbers of whom have fought in the undertaking to incorporate cloud into their unpredictable legacy structures. 

How Cloud Computing has been changed by Artificial Intelligence

The new-age cloud computing framework has begun seeing the impact of Artificial Intelligence, which is an interesting change considering the introduction of transformational technologies like the Internet of Things (IoT). The presentation of new technologies has demonstrated no problematic effect on the developing cloud computing scene. From the viewpoint of the developing cloud innovation, IoT and mobile capacities come out as an expansion to the current cloud abilities. 

According to Statistics, the global value of the AI market will outperform more than an expected $89 billion every year by 2025. A significant percentage of that worth will happen as artificial intelligence powers cloud computing—and, thusly, as cloud computing goes about as an engine to expand the scope and impact AI can have in the bigger market.

Conflicting with the IoT and mobile model, applications-based on artificial Intelligence need specific run-time developed for GPU (Graphics Processing Units) concentrated AI solutions, alongside the refined backend services. Consolidating information, AI, and machine learning with cloud technology implies, both humans and AI would have the option to examine the enormous measures of information and would get more data than ever before. A blend of these technologies implies a high volume of information to be dealt with in a shorter time.

Artificial Intelligence in Cloud Computing:

The past few years have indicated incredible investment in the AI abilities in a cloud platform. ESDS Software Solutions is one of those companies that have been working and developing more on Artificial Intelligence and Cloud Computing.

Let us have a look at how Artificial Intelligence is benefiting the types of Cloud Computing.

A.     Artificial Intelligence and IaaS

This is the cloud application improvement administration, which is generally utilized by clients. It permits you to pay based on the usage of the service provided, a flexible plan. The service provided includes renting stocks, networks operating systems, and virtual machines (VMs).  Artificial Intelligence as a Service (AIaaS) is the third party contributing to Artificial Intelligence (AI) outsourcing. Artificial Intelligence as assistance permits people and organizations to explore different avenues regarding AI for different purposes without enormous introductory speculation and with a lower chance. Experimentation can permit the inspecting of the various public cloud platform to test different AI calculations.

B.     Artificial Intelligence and SaaS 

With this, the cloud provider and not the user is tasked with management and maintenance and all the user has to do to gain access is connected to the application over the web with an internet browser on his phone, tablet, or P.C.  The SaaS is available over the internet on-demand or on a subscription basis. 

SaaS and Cloud organizations are progressively utilizing AI and Machine Learning stages to scale their income by offering better products and customized client experienced. As indicated by Adobe's Digital Intelligence Briefing, driving organizations are bound to receive and utilize AI for Marketing to convey convincing client experiences.

In the following year and a half or somewhere in the vicinity, by simply looking at organizations that have yearly incomes somewhere in the range of $100 and $150 million, the extent of AI-driven organizations would develop to 24%. The greatest development factor pushing the appropriation of AI inside these organizations is – Data Analytics, trailed by Personalization of On-site Content and experiences.

C.      Artificial Intelligence and PaaS

This service was intended to make web creation and mobile app design simpler by having the inbuilt infrastructure of workers, systems, databases, and capacity that takes out the need to continually update them or manage them. 

With the rising popularity of AI, cloud service providers (CSPs) have begun to offer services devoted to explicit undertakings: detecting objects in video, recognizing faces of big names, transforming speech into text. A portion of these suppliers has even stepped toward offering a progressively helpful arrangement: an AI Platform as a Service (AI PaaS).

Conclusion

By now you would have got an idea that Artificial Intelligence is the future of technology and cloud computing is the will maintain the position that it has gained until now. The top cloud computing companies strongly accept that the combination of cloud computing services and AI technology will acquire a significant change in the technology industry. Public cloud providers continue investing in the development of AI and this will keep on continuing in attracting the right set of clients to this technology.

If you want to make the most of these two most game-changing technologies, contact us, and we will let you know!

Is the Internet of “Intelligent” Things (IOIT) becoming a whole new ballgame?

The internet of things is way ahead and gaining worldwide attention due to incredible advancements in it as time passes. The data is becoming more than the size of a Hulk due to the numerous connected data endpoints which give the most unparalleled insights. So, the question arises how we can tap the most of this generated data from all possible data streams? The answer is Artificial Intelligence – the new concept is the internet of intelligent things.

So, what are intelligent things?

We all know about the internet of things technology as it has become well known. IoT mentions the billions of Internet-connected devices all over the world. But, the whopping numbers of data that is continuously streaming through these devices is a considerable task to handle. So, here is where the internet of intelligent things saves our burden.

Earlier, experts have said that there should be more work on the utilisation of the internet of things where artificial intelligence would help in building better solutions. So, in recent years it has been pretty clear that IoT networks become more intelligent when combined with other autonomous technologies like machine learning and artificial intelligence. AI makes higher use of the extensive connectivity and more significant data streams which IoT devices can handle well.

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