Category: Careers

Could Artificially Intelligent – Computers Replace Programmers In The Future?

CADD CENTRE

Machines and computers already started replacing the human beings since a few decades or even centuries. But behind all these replacements are the programmers who developed such software. Moreover, as the technology is evolving the focus on Artificial Intelligence has also evolved. The emergence of such technology has automated a lot of work streams, snatching the jobs of many people. However, there is a constant doubt if the artificial intelligence will replace the programmer in the future.

What is A.I.?

As known, the Artificial Intelligence is a very much advanced form of technology. Moreover, the name itself suggests, the technology tends to work like a human being with the sense of its own judgment. Right now the artificial intelligence is in the development stage and are not as strong and expected. A strong A.I. has the smartness and the capability of an adult human being.

Currently, the major companies owning the weak A.I systems are following the strategy to combine the weak A.I systems to make them look strong.

Will A.I. Replace Programmers?

The developing nature of A.I. has puzzled the programmers about their replacement in the near future. The answer to the question is “yes.” Eventually, the artificial intelligence will replace the programmers in the future. However, by the time A.I. replaces the programmers, the society will get acquainted with such societal change. Some of the examples,

  • Self-driving cars will replace the paid drivers.
  • Telemarketers will be replaced by automated robot-calls.
  • Automated AI and surveys will replace market research analysts.

The industry for programming robots is going to be huge in the future. In fact, it is already a large industry. If a server is considered as an information robot, then the industry for robots is already available. The physical robots are a very big industry today, and the Internet of Things is going to be a massive industry in the near future.

The A.I. replacing the programming is, however, a little far and will take its own time. However, in the near future, the programmers would take help from Artificial Intelligence by using Artificial Intelligence code to improve the programming efficiency. It is very good at helping the programming and will replace the programmers at a point where Artificial Intelligence is very strong.

Impact of GST in Education and Training Sector!

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Education and Training Sector in India is among the key priority areas of government. Government’s focus towards education sector is well reflected through various exemptions in Service Tax and Value Added Tax.

However, it’s hard to accommodate every concern of an educational and training sector. In contrast to certain exemptions, the education, and training sector has borne the burden of indirect taxes in certain situations. Prescribed courses by IIM have been exempted under GST. In addition, the specific services such as transportation of students, catering, and security in pre-school education and higher secondary education have been exempted under GST. Though, the courses and educational services would encourage the GST exemption, education institutions still have to bear GST burden for the following procurement:

  • Services such as renting, telecommunication, and purchase of goods will continue to remain as an input tax cost for educational institutions.
  • Training Services by commercial coaching institute will have to bear GST the rate of 18%.
  • Foreign entities organizing educational training events in India that is attended by local or overseas participants will become liable to bear GST.

Now, it calls for education and training sector to keep a close watch on GST along with the subsequent exemptions and their related clarifications.

Hadoop is NOT “Big Data” is NOT “Analytics”

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In consideration to fact that the popularity of word ‘Hadoop’, ‘Big Data’, and ‘Analytics’ is relevantly high and therefore, for those who are interested in working in the field of Analytics, should understand that the three words have completely different meaning. Therefore, it is no justice to use them interchangeably.

What Differentiates Hadoop from Big Data?

Hadoop is a software framework used for storing and processing of Big Data. The open source tool is built on Java platform and focuses on performance improvisation on the formation of clusters of commodity hardware. While considering the Big Data and Hadoop going parallel to each other, it is important to understand that both have distinct job descriptions.  Therefore, Big Data just acts like a fuel that Hadoop work on to convert into a form that is easy for analysis. In addition, a person who is able to write down the code and the related frameworks cannot necessarily understand the related patterns and work on actionable insights. This work area should be assigned to a data scientist. The two terms have completely different job descriptions.

What Makes “Big Data” Efficient?

Big is a term that is described using the four Vs such as Velocity of data, Volume of data, Variety of data and Veracity of data. The term is can be explained through the following example, HR data fetches low volume, and velocity of data as the data requires low computing power. Thus, even the low power for calculating and processing HR data seems like big data for the practitioners. It implies that big data is efficient and has outlived its usefulness.

 

Although, the terms have complete different functionalities yet ‘Big data’ and ‘Hadoop’ creates opportunities like never before. It is anticipated that “smart data” should replace “big data” for most of the analytical applications!

What are the Six Home Building Technologies of the Future?

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Technology seems to overpower our lives today and is likely to scatter in all sectors. Not only digital business but also residential construction is adopting technologies in a quick way. It is hard to find someone who is not using technology in order to comprehend routine tasks. Therefore, you can find engineers and builders to be using technology to its full potential. The future construction industry might incorporate the following technologies

  • Drones

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The drones are assumed to be small and remotely controlled copters. However, these flying vehicles also have auto-pilot feature. They not only possess the capability to transport materials but also have the ability to carry humans. The future drones are expected to have a high level of intelligence with fully robotic functionalities and capability to do real work.

 

  • Autonomous Trucks

By the year 2040, the autonomous trucks are expected to change the home building experience completely. These trucks will auto-load, auto-dispatch, and auto-offload. Daimler has already started testing self-driving trucks. The test showed that autonomous trucks reduced 7 percent of fuel consumption and consumed less road space.

  • Robots

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Robots have already started taking over some of the industries, and it will soon take over the construction industry too. With the use of construction robots, the need for the human crew to complete hard labor work will easily get eliminated. Haridon X, a robot is expected to be commercially available very soon. It has the capability of laying 1000 bricks approximately in just one hour.

 

  • 3D Laser Scanning

3D laser scanning will play a very important role in the construction industry. The technology could help in site planning, real-time structural analysis and much more. It wouldn’t be a surprise of the 3D laser scanning technology replaced the building inspectors.  Incorporating this technology will improve design, security, and cost.

  • Augmented Reality

According to experts, the wearables for augmented and virtual reality will reduce in size and could be as small as contact lenses. This technology will help you inspect job sites from almost anywhere as it will create full-scale and true-life models.

  • 3D Printers

China successfully 3D printed homes and large-scale structures in 2015. By the year 2040, the construction industry might witness 3D printers, printing almost everything. This technology has attracted the industry because it has the capability to print new shapes, reduces cost, and allows remote construction.

The above technologies are expected to replace time consuming man resource completely. With the rapid growth in the technology, it is impossible to predict what new technology might change the future of construction.

AECOsim Vs Revit Architecture

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Many organizations have been using Building Information Software (BIM Tools) across teams of engineers, project managers as well as cost consultants in designing infrastructures. Revit and AECOsim are two renowned BIM tools in the market. Choosing one among the two is a difficult task.

 

Why Revit? Why AECOsim?
  • Revit is easy to use and thus to master it takes a short time.
  • The “seamless” interaction has made Revit an industry standard.
  • With a good customer support, Revit is often ahead of AECOsim.
  • Being an industry standard, Revit holds more employment opportunities.
  • AECOsim is more robust and has more capabilities compared to Revit.
  • Coordination with navigator becomes easier with AECOsim.
  • The software and training expense are cheaper than Revit.
  • Unlike Revit, AECOsim is more interoperable and scalable.

 

Both the products have been designed to offer supreme designing capabilities. However, when it comes to market reach, they have their own strengths and weaknesses. Therefore, the selection of the right tool depends on the field of work and the requirements.