Can Human And Machine Work Together?
Your brain is a powerful processor. The way we acquire knowledge through thoughts, experiences and senses is what we call Cognition. It helps us to understand the world around us and interact with it from basic to very complex levels. But the problems we are facing today are too complicated for a single human to figure out all by themselves.
So what’s going to solve these problems then? The answer is; an entity that is a combination of both human and machine working together to make a kind of integrated intelligence. The aim behind this is to get people and computers collectively act more intelligently than any single person or a group or person or any computer has done on it’s own. At more superior level, thinking about a system that would understand a situation and figure out explanations so that they get inventive about scenarios will help us tackle with the problems in a smart way.
Computers Imitating Humans
Cognitive Computing is a replication of human thought processes in a computerized environment. It is a self-learning system which indulges in data mining, pattern recognition and natural language processing. This all is done to create an automated computerized machine that is capable of working around without human help or interference. It makes use of existing information and generate new knowledge. Cognitive Computing uses machine learning algorithms and gains knowledge from data continuously.
With the help of cognitive computing it is easier to bring artificial intelligence in computers. It narrows down the focus on making computers intelligent in one type of tasks and scaling the range of tasks in multiple phases. To enable any cognitive computing system at the scale, you will need the help of big data, machine learning, and cloud. These are the three main technologies behind any level of cognitive computing. Here how each of these help in implementing it:
Big Data Analysis:
The human brain can process a huge amount of data without even realizing the pressure. From example, understanding contextual meaning in a statement or perceive someone’s preference in movies. In case of machines, it is important to feed a huge amount of data to make this possible. This data can be both organized and unorganized thus, we need sophisticated tools to analyse this big data.
As mentioned earlier, the CC use Machine learning. It is the use of algorithms to enable computers to analyze data and make predictions based on the information fed to them. Usually, in machine learning, a training data is fed into the program and then it is tested on another data set to examine its efficiency. In case of cognitive computing, the algorithm needs to be coded to learn on its own as and when more data is supplemented to it.
To analyze such huge amount of data in real time it is required to have extensive computing power. The pressure on the systems in cognitive computing varies on the basis of data fed into the system. Due to sudden spurts in demand, it is viable to opt for these cloud solutions. They provide scalable computing for analyzing data and working on resource-intensive tasks, making them ideal for working on cognitive computing models.
Among these three, we are going to discuss about the Cognitive Cloud Computing.
Cognitive Cloud Computing
You might have read or heard about Amazon Web Services, Microsoft Azure, and Google Cloud platform as a service providers. Might have discussed about IBM and Dell Technologies. So what are these? And what services are they talking about here? Basically, these are cognitive cloud deployments. Let’s discuss about it in detail.
WHAT IS CLOUD COMPUTING?
Cloud Computing is the use of a network of remote servers hosted on the Internet to store, manage and process data rather than a local server. It is the delivery of computing services (servers, databases, networking, software etc.) over the Internet. In simple terms, it means storing or accessing your data over the internet. The term is generally used to describe data centers available to many users over the Internet. Large clouds, predominant these days, often have functions distributed over multiple locations from central servers.
Cloud Computing is the use of hardware and software to deliver a service over a network (typically the Internet). With cloud computing, users can access files and use applications from any device that can access the Internet. An example of a Cloud Computing provider is Google’s Gmail. Gmail users can access files and applications hosted by Google via the internet from any device.
Models of Cloud Computing
Cloud computing operates on the principle of virtualizing the computing power of servers into segmented, software-driven applications that provide processing and storage capabilities. There are three types to this, namely, the public cloud, private cloud and the hybrid cloud.
Some public cloud examples include those offered by Amazon, Microsoft, or Google. These companies provide both services and infrastructure, which are shared by all customers. Public clouds typically have massive amounts of available space, which translates into easy scalability. A public cloud is often recommended for software development and collaborative projects.
Private clouds usually reside behind a firewall and are utilized by a single organization. A completely on-premises cloud may be the preferred solution for businesses with very tight regulatory requirements, though private clouds implemented through a colocation provider are gaining in popularity. The additional control offered by a private cloud makes it easier to restrict access to valuable assets and ensures that a company will be able to move its data and applications where it wants, whenever it wants.
Hybrid clouds combine public clouds with private clouds. They are designed to allow the two platforms to interact seamlessly, with data and applications moving seamlessly from one to the other. The primary advantage of a hybrid cloud model is its ability to provide the scalable computing power of a public cloud with the security and control of a private cloud.
There are two commonly used types of hybrid cloud architecture. Cloudbursting uses a private cloud as its primary cloud, storing data and housing proprietary applications in a secure environment. When service demands increase, however, the private cloud’s infrastructure may not have the capacity to keep up. That’s where the public cloud comes in. A cloudbursting model uses the public cloud’s computing resources to supplement the private cloud, allowing the company to handle increased traffic without having to purchase new servers or other infrastructure.
The second type of hybrid cloud model also runs most applications and houses data in a private cloud environment, but outsources non-critical applications to a public cloud provider. This arrangement is common for organizations that need to access specialized development tools (like Adobe Creative Cloud), basic productivity software (like Microsoft Office 365), or CRM platforms (like Salesforce).
Benefits Of Cloud Computing
Flexibility – Cloud allows you to scale services according to your need, customize application from anytime, anywhere in the world with the help of internet.
Efficiency and Storage- It allows hastening of release process for enterprises without worrying about the underlying infrastructure and cost. It provides users an ample amount of storage to work with.
Automated and Scheduled Updates – Cloud provides the convenience of updating an existing application with automation. Also, allows you to schedule the scripts for automation.
Security and Data Back up – Enhances security for an application with many factors such as 2-factor authentication, Oath Login(for sharing information with third party applications without the password). The hardware failures do not result in data loss because of automated backup.
Collaboration – Allows project teams to collaborate on a global level, allowing work to be coordinated from any part of the earth.
Daily Life With CC
Cloud computing is changing our lives in many ways. While the technology described and commented on at length technically, very few studies have focused on its impact on everyday life. We are going to see cloud technology impact on life on many levels. I want to reflect on the effects of these systemic changes to our lives by highlighting some of these areas.
The likes of YouTube and Google are testimony to a shift in how people are now interacting with others. From remote locations to the global center stage, an event can reach the four corners of the planet by going viral. Anyone can turn into an instant reporter, and live news feeds are constantly streaming the media, at times sparking social upheavals.
It has never been as easy to look out for long forgotten friends and classmates with the explosion of social networks and websites proposing ways to connect and relate through online communities. Facebook is of course a primary example. Businesses are now increasingly using data from social media platforms in combination with cloud-based information resources to get better insights on potential services, innovations and customer requirements.
Educational institutions have been quick to realize the advantages of cloud technology and have been eagerly adopting it for several reasons. The ability for the students to access data anywhere, anytime, to enroll in online classes and to participate in group activities is possible because of CC. The value of combining business automation processes to class enrollments and assignment tracking, helps in reducing expenses significantly. The institutional body can leverage the storage cloud to store the daily 2.5 quintillion bytes of data securely.
Cloud technology also offers other benefits to developing countries since they no longer have the burden of investing in costly infrastructures and can tap into data and applications that are readily available in the cloud. I briefly mentioned the education sector above, but the same applies to other areas, such as banking, agriculture, health and science.
Take as an example the telecom industry, whereby these developing countries have been fast embracing the smart mobile technology that accelerated development by leaping over the traditional wire and copper infrastructure.
There are many reasons why using cloud technology in the healthcare industry is gaining pace. Some examples include: managing non-siloed patient data and sharing it among different parties such as medical professionals or patients checking their own status and treatment follow-ups; reducing operational costs such as data storage; accessing this data through pervasive devices such as mobile phones.
While there may be challenges in integrating old or current tools with new technologies and the corresponding level of services, the benefits will outweigh the inhibition to move to the cloud. However, healthcare will be a growing market in the coming years, running into the billions.
Is CC Better Option In 2020?
The cloud computing industry matured considerably in 2019. In 2020, enterprises will shift toward using specialized — aka “boutique” — public clouds to run various computing and storage workloads which are supposed to be better, faster, and more cost-effective than is possible with the larger cloud providers.
High Performance Computing in the public cloud has verifiably been hard to accomplish due to huge asset prerequisites, the requirement for incredible infrastructure, and spontaneous demand. In 2020, however, huge investments by cloud suppliers will effectively bring HPC to the cloud.
Cloud won’t subside in significance at any point in the near future; we’re all dependent upon services distributed by clouds like never before and virtually every time we utilize a connected device. Even in 2020 we may see some new efficiencies, interfaces, connectivity choices and applications themselves in our collaborations with the cloud every day. The year 2020 is likewise going to be a memorable one for the Cloud Computing industry.