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Read some great articles on the latest businesses and tech topics from our leading practitioners. From cloud computing to Artificial Intelligence, this is the place where new ideas come alive.

Data Mining and its significance in Business Analytics

Wed, Feb 03 2021, Maya Angelou

We have always heard people in the business world say how data is valuable and must be secured. But, data generated by a single organization is so much that it would be impossible for a team of humans to filter out the essential data from tons of raw data. Here is how data mining comes into the picture. Data mining is a process that organizations use to turn raw data into useful information. Organizations utilize software to analyze large sets of raw data and look for patterns. These patterns help organizations learn more about their customers or even the general public.

This information pulled out helps to improve the decision-making process. Thus, strategies to increase sales, market, and deploy upcoming features are further apparent. Data mining is an indispensable part of any organization's intelligence. It helps perceive valuable insights by identifying patterns in raw data, thus turning them into useful information. 

Frequently data mining is confused with terms like machine learning and data analysis but, these terms are very different and unique. Data mining and machine learning both use patterns and analytics. Data mining looks for patterns that are already present in data. Patterns bought to light by data mining need human intervention to make decisions. Data mining gets patterns (information) from large datasets, and data analytics is when organizations decide to take this information and dive into it to learn more.

Businesses that make use of data mining have an advantage. They have a better understanding of their customers, oversight of business operations, improved customer acquisition, and new business opportunities. Also, they acquire a perception of potential customers, new ways to market and improve their systems. Data mining helps businesses advance without any obstacles. 

Data mining helps organizations with the detection of fraudulent activity and forestall potential fraud. Instead of relying only on the human experience, patterns generated from data mining can help you make a creative and innovative decision, one which might be beyond human analysis.


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The modern Cloud Ecosystem

The hardware and software infrastructures of various companies have continuously transformed digitally over the years. There has been a massive migration from "on-premise" systems to cloud deployments. Cloud computing has spurred the technologically advancing industries and continues to be the fundamental factor of an organization's infrastructure and product deployment.

To be simply put in a sentence, cloud computing is the process of migrating computing resources such as servers, databases, software, etc., from a local location to a remote cloud location and accessing these resources over the internet.

When we hear of cloud computing, the major cloud providers like AWS, Microsoft Azure, and Google Cloud Platform pop into our heads. But cloud computing is not limited to just the services provided by these companies; it is much bigger than that. At its core level, cloud computing is simply a notion for any computing done over the internet, from the software you use on a daily basis to the infrastructure your favorite applications run on.

Presently, the interdependent components that work together to facilitate cloud services form a complex system, and this system is called the cloud ecosystem. In nature, an ecosystem includes living and non-living things that are connected to work together. In the same way, a cloud ecosystem consists of hardware and software but also includes cloud customers, cloud engineers, consultants, etc.

A public cloud provider is at the center of a cloud ecosystem. It could be a PaaS or IaaS provider. From the center radiating are the software companies that use the cloud provider's anchor platform. It also includes consultants and companies that have an alliance with the anchor provider. Since the companies overlap to make a complex ecosystem, there is no vendor lock-in.

New business models can be build using a cloud ecosystem. In a cloud ecosystem, it is easy to analyze data on how a new change or update might affect the other parts of the system. Cloud services are on a pay-as-you-go basis which, makes it efficient for customers. With all your resources set up in a cloud-based environment, it is easy to collaborate from anywhere in the world since these resources can be accessed over the internet, thus providing flexibility.

Robotics – Changing Our Lives and Future

Envision a future where robots are so integrated into the foundation of human life that they become as common as smartphones. Robotics is a field that has a great potential to improve our lives at work, home, and in-play. They can be a support for learning physical as well as cognitive activities. Robots for years have helped humans do a task that was considered dangerous. Now, the field of robotics has progressed into the exploration of unreachable environments from the depth of the ocean to deep space. 

Robots being made capable enough to adapt, learn and interact with human beings and other machines on a cognitive level. Technology has progressed so rapidly that over the past few decades computing has been made indispensable. The digitalization of everything has made human life easy and so accessible. These digitizations put together with robotics assures a future that only existed in one's imagination.

Robots are becoming so capable that they can execute complex computations and interact with the world on their own, with richer sensors and better actuators. With a future close, where robots and humans work alongside is creating many new job opportunities and saving time for humans.

Robots have only advanced in industrial fields or only in factories but have also come about to do simple human tasks such a mowing our lawns, milking cows, vacuuming the house, serving in restaurants, and so many other areas. In a few years, they will touch even more parts of our lives.

Today's robots are still quite limited. They cannot figure things out and their communication is often brittle. It also takes a lot of time to build new robots. The progressive adoption of robots will require integrating robots in the human world rather than integrating humans into the machine world.