SigmaWay Blog

SigmaWay Blog tries to aggregate original and third party content for the site users. It caters to articles on Process Improvement, Lean Six Sigma, Analytics, Market Intelligence, Training ,IT Services and industries which SigmaWay caters to

Impact of automation in HR process

Improvement is a non ending necessity for any business to survive in this competitive industry. It is well known that bringing right technological change in business cuts the cost of production specially when the human labor costs too high and are replaceable with technology. In various surveys, it has been found that HR spends most of the time in transactional jobs such as data entry and minor mathematical calculations. These tasks can be automated by bots and this human resource can be provided proper certifications and they can be utilized for better tasks. There was a survey done in an organization. They implemented technology which improved the onboarding time of people from 120 minutes to 3 minutes. And the man power can be used for more important tasks such as decision making.

Read more at https://www.informationweek.com/big-data/ai-machine-learning/how-ai-and-intelligent-automation-impact-hr-practices/a/d-id/1332484?

 

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How technology helps in relocating your home

Packing and moving your living space is quite a headache. Especially in India, most of the people try to find someone providing the cheap shifting services and hence get trapped as they do not provide safety to your good, thus resulting in an expensive net cost. Thankfully, technology is again helping humans to get a fair deal in terms of safety of good and proper quotation of charges. Some of the reallocating companies have started to use AI based softwares that can quote exact amount to be charged from customers based of the quantity and nature of goods, destination, path to destination, floor of new location, whether lift is present or not and many more relevant factors. These softwares also helps to find the price for the goods so that they can have an insurance of that amount. Customers can also use the GPS technology to track their goods while they are being shifted to a place too far.

Read more at https://www.analyticsinsight.net/relocation-industry-working-algorithms-comprehend-consumer-needs/

 

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Applications of Python

Python Programming language is already quite famous for its power and simplicity. It has become an all-in-one programming language because of availability of so many libraries and frameworks which makes python extensible to many areas.

The top 6 application areas of Python are as follows :-

1. Business

2. Scientific / Numeric

3. Education

4. Gaming

5. Web and internet

6. GUI applications.

Read more at https://www.technotification.com/2017/11/python-applications.html

 

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Steps for better utilization of data

It’s really fascinating to see how we are generating an incredible amount of data every minute. Plenty of blogs and articles have been written stating that the better utilization of this data may result in more profit generation for the organization. So here are some tips to begin with the path of better utilization.

Currently what most of the organizations see is they are Creating data, and they want to generate some additional revenue from it, but they miss how to link these two aspects. 

To begin with, they must consider to use the Big Data Engines like Hadoop, Google Bigdata, Horton Works, MongoDB or anything similar. They help to find the patterns and correlations between different types of data.

Next is Data Warehousing. Data warehousing is not just maintaining a database. It has many advantages over the traditional databases. 

And another important step is Data Visualization. From the above two steps we have the data properly managed and organized. In this step we visualize the data in a productive manner.

Read More at https://www.informationweek.com/big-data/real-world-tools-to-help-navigate-a-data-driven-world/a/d-id/1332377?

 

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Data security in Healthcare

The world is becoming more digital. Health industry has also turned mostly digital and maintains every record and every detail in digital format. This has many pros but it also bring some threats like in terms of data security. Health industry keeps a lot of information about a person like their name, date of birth, address, card numbers, contact numbers, insurance details and many more. 

There are the following 3 reasons why these data needs to be protected :- 

•  To avoid identity theft.

•  For the patient’s safety.

•  For the reputation of the hospital and healthcare providers.

 

To ensure data security, just installing the antivirus is not enough. There must be other features like data encryption, limited access and modification of the data and limited transmission and sharing of data. 

Read More at https://www.technotification.com/2018/07/data-protection-in-health-industry.html

 

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How to Manage Big-Data

For any organization, it is necessary to keep a track of the data created, data pulled, the source from where it is pulled, the format of the data they have been using till now, who can access this data and many more. There are many strategies for managing the data but there’s nothing as a perfect strategy. It varies from organization to organization and types of data. Another important factor is size of organization and its budget. The following are the three factors that can help in managing the data in a better way i.e. as per the GDPR rules.

1. Centralization of data

2. Automating data management 

3. Measuring Success.

Read More at https://www.analyticsinsight.net/how-to-overcome-the-challenges-in-managing-big-data

 

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Programming Languages prevalent for Data Science

Tons of data is generated everyday in the industry. And making sense of this pile of data has become an important task for many businesses. To achieve this, they are turning into Big Data analytics and Data Science. Data Scientists have knowledge about various algorithms suitable for various types of data and these statistical algorithms are implemented in several programming language. Selection of the programming language depends on many factors. So here is the list of top 6 programming languages that are used by most of the data scientists and analysts.

1.  Python

2. R Programming

3. Matlab

4. Java

5. Julia

6. Scala

Read detailed review at https://www.technotification.com/2018/07/best-programming-languages-for-data-science.html

 

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The cloud is really Growing up

Just 5 years back, people were debating over whether to accept cloud over in-premise systems, its cost, the billing systems of cloud etc. The topic “Should we use cloud” from that time has turned into “What else should be do on cloud”. Cloud has really grown and have got its roots really deep in the industry. Most of the industry is planning to find new ways to do the business which has cloud as a major part in their systems. 

Read More at https://www.informationweek.com/cloud/software-as-a-service/the-cloud-steps-into-maturity/d/d-id/1332394

 

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Importance of Proper data analysis and usage

Data is like an untapped stream of gold. If used properly, it can help any business to start climbing of the stairs of success real fast. History has plenty of examples like Hershey’s, Caterpillar, Vermont Electric Power Company and many more. These companies began to store, segregate and analyse their data. The data includes their operational activities, sales, purchases, monitoring employees, data about competitors and many more. Proper usage of this data can bring a digital transformation in the organisation. Data analysis often results in cut in operational cost. But its benefits doesn’t just limit till the cost cut. Data analysis can also show a path for revenue generation.

Read more at https://www.informationweek.com/strategic-cio/digital-transformation-turning-data-into-dollars/a/d-id/1332319

 

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Most prevalent languages for Machine Learning and data science

Careers in machine learning, Data science, artificial intelligence, deep learning and many more are considered as one of the best choices to pursue. Now these technologies and the related jobs are considered one of the hottest and best jobs today. So, here are the list of top 5 languages prevalent in market for data science, machine learning etc.

1. Python

2. R

3. Java

4. Scala

5. C

Read More at https://www.informationweek.com/big-data/ai-machine-learning/5-top-languages-for-machine-learning-data-science/d/d-id/1332311?

 

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Don’t fall behind in terms of advancement.

Over past few decades, there has been a rapid advancement in the industry. It has become important that the strategists verify that their end users are getting the latest and quality material. Falling too behind of the advancements may result loses for the organisation. There are several symptoms that may help you to understand it’s the time to make necessary changes in your IT infrastructure to meet the requirements of the end users.

5 such symptoms are as follows :-  

1. Increasing number of IT help desk calls.

2. Hardware/software failures and outages on the rise.

3. Rise in the use of shadow IT.

4. Nobody wants to work for you.

5. New tech initiative is scrapped due to shortcomings in the infrastructure.

Read in Detail at https://www.informationweek.com/strategic-cio/it-strategy/5-signs-your-it-infrastructure-is-falling-behind/a/d-id/1332304?

 

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Most common programming languages among Github Users

Github is a very common and well known platform for learning, sharing and developing programs. It’s very helpful especially for team projects. With time Github has turned to be a platform for interactive programming learning. The most common and most chosen programming languages among the Github users are :-

• javascript

• Python

• Java

• Ruby

• PHP

• C++

• CSS

• C#

• GO

• C

Read Detailed review at https://www.technotification.com/2017/11/10-programming-languages-on-github.html

 

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Initial steps into AI for your enterprise

May be your organisation has just started to step into AI, but don’t worry its not too late. It takes plenty of time to embed a good helpful AI into the organisation and there’s no scope of mistake. Giants like Google, Amazon, Microsoft have implemented AI at early stages because they have plenty of data and plenty of resources. For any organisation it is important to find the best suitable aspect for AI implementation which will provide benefit at most. 

Read More at https://www.informationweek.com/enterprises-wade-into-the-ai-pool/d/d-id/1332434?

 

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Data utilization is more important than data creation

Today, Edge, IoT, mobile devices etc are everywhere and are creating plenty of data. By 2025, almost 75% of the world, both consumers and businesses will be connected. If seen in a broader view, there is a huge pile of data and it’s still increasing with a rapid rate. There should be more focus on proper and more usage of this data. Get people who can help you out to resolve the issue of better and more efficient utilization of data.

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Cryptocurrency wallets

Cryptocurrency is often seen as an asset. Few months back, there was a hype for purchase and sale of cryptocurrencies, especially, bitcoins. So along with the money, you obviously need a wallet to hold it. And actually there are various kinds of wallets to store this currency. Since Crypto-Currency is just a software, not a hard cash, so it requires a software wallet. There are various types of wallets like Mobile wallet, Desktop Wallet, paper wallet/cold storage, hardware wallet. These wallets have their own traits and the selection of wallet appropriate for you depends on you. 

Have a detailed review about cryptocurrency wallets and their attributes at https://www.analyticsinsight.net/investing-in-cryptocurrencies-you-need-a-cryptocurrency-wallet/

 

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All new type of memory

Scientists from Fudan University, Shanghai, recently published their research revealing an all new type of memory. We have heard about RAM and ROM, and both of these memories have their own limitations like RAM is volatile but Super-fast and ROM can store huge amount of data but it is Very slow. This all new type of memory is claimed to be able to store data as long as we want. This technology works on two dimensional semi-floating gate transistors. Unfortunately, research is still going on and we will require to use our traditional RAM ROM for a little long till this research turns out to be a public product. And also there’s no doubt that this technology can bring revolution in terms of data storage, security, data transfer and many more.

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Computers writing code by itself

Recently a team of researchers developed an AI based system that can write codes for the programmers and it can also predict the solutions for them. The system uses neural sketch learning method of deep learning to recognize patterns in millions of codes written in Java. Also, the system itself is trained by using millions of Java programs. Currently, it can be used to evaluate undocumented APIs that can be quite difficult for any programmer to use. This is the starting and we can visualize the upcoming future of how AI can help programmers in writing codes, moreover solving the problems which are quite difficult to solve by humans or may take a long time. 

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Tips to move from IT professional to IT manager

As the time passes by, it becomes a boring schedule to do the same task over and over again. Everyone wishes for some promotions in his career. There are some people who wish to move from complete IT and coding schedule to some IT management routine. So here are some tips for moving in that direction. 

Keep a check on the company visions and missions. Talk with your managers regarding how the company is performing and what are its future perspectives. Begin with leading your own team. Give your contribution in both technical and managerial rolls .Consult others on how they use the technology to achieve the same business task. Try picking up some managerial skills. All this small efforts will guide you in the path towards an IT Manager.

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Rise of Edge Computing

Evidently, there has been massive adaptation of cloud in the industry. As everything begins to operate on cloud, it also generates massive amount of data. Also, just IoT is not just enough, because it’s no more just a “Thing”; this thing, now, can be an automated car, a drone or anything which makes it a necessity to think beyond Cloud computing and brings us a glimpse of Edge computing. Edge computing can significantly provide better throughput, improved performance, and customised processing of data as per the needs of each user.

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Robots, Now in Space

On 29th June 2018, NASA launched, CIMON, the very first AI-Powered robot into the space. The bot is built with a really interactive AI program which is meant to interact with the people in the space station. Also, it can even assess the human mood and is programmed to answer the voice commands in English. And one more great thing, is it is unlike any mechanical bot/part of space station. It has got its own smiley like face on a space and it can itself move around the space station in zero gravity. It is really interesting to see the pace and direction of technological advancements. 

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