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

Robotics-A New Dawn in Agriculture?

Salinas Valley in San Francisco is adapting to a new technology in its agriculture. Robots with water knives have come into the picture. With increasing population and an ageing workforce,automation is a necessity to feed the mass. The technology does not aim to replace the farmers, but it works hand in hand for rapid effective production. The firms are modifying their products to cope up with the technology. Soil sensors are used to tackle the crisis of water. The ocean level is rising and with the ever-growing population,automated farming is the only way forward and Salinas Valley will be the pioneer of a revolution that is set to take place around the globe.Read more at: https://www.wired.com/2017/05/robots-agriculture/

 

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New Rules In The Banking Sector

State Bank of India (SBI), the largest public bank of India, has raised its Monthly Average Balance (MAB) from 500 to 5000,3000,2000,1000 in metros, urban, semi-urban and rural areas respectively. ATM transactions will be charged at 25 per transaction for savings accounts. Moreover, there are charges for transactions through bank correspondents and IMPS transfers. Locker rents too have risen and check books will be levied at 3 per leaflet after 50 checks in a financial year. An enrollment fee will be charged for new savings account and SMS charges of 15 per quarter will be applicable as before. As a whole,SBI customers have to bear a little extra burden in this year effective from June 1,2017. Read more at: https://blog.bankbazaar.com/must-know-sbi-new-rules-effective-from-1st-april-2017/

 

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Most Valuable Football Clubs of Europe

Manchester United has overtaken Real Madrid to become Europe's most valuable club in terms of enterprising value. Real Madrid and FC Barcelona are in the second and third places respectively. Manchester United's value crossing the record 3 billion euro mark even after finishing 6th in the recently concluded English Premier League delineates the ever growing popularity and fan base of the English giants. The phenomenal achievement of the English clubs is mainly because of the extraordinary broadcasts.Chelsea,Liverpool,Manchester City,Tottenham Hotspur and Arsenal feature in the top 10 from England along with Bayern Munich from Germany and Juventus from Italy.Read more at: http://www.independent.co.uk/sport/football/european/manchester-united-real-madrid-barcelona-arsenal-liverpool-most-valuable-club-europe-a7764636.html

 

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Real estate industry of India: A Report

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Latest Technology In A Modern Car

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Paytm- A pioneer in the Indian market

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To achieve technological singularity

The computing power is growing by each day. Technological Singularity describes the transformation that could be noticed because of an intersection between humans, technology, and artificial intelligence. This concept has been modified over the years and has been a subject to research. Theories suggest that technologies will take over the humans. This is an era where human intelligence will become increasingly non-biological. Post singularity improvements are predicted and changes are expected to introduce machine speed and intelligence. Post human literally means humans and technology will become interlinked. In the upcoming years, humans will completely expand the capacity for intelligence of the civilization. Read more at: http://analyticsindiamag.com/technological-singularity-can-achieve/

 

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Communication: A Key Factor for Achieving Success in Analytics

Programming languages and Mathematical algorithms are not sufficient for a successful career in Analytics. Communication skill plays a vital role. Explaining the results of the analysis performed in a simple language is as important as ability to analyze the data. According to the author, the key aspects of communication are simplicity, narrative and action. Secondary research is another way to stand out in the analytics profession. What counts is the simplified presentation and explaining the consequences of several course of action to build a successful career in analytics. Read more at: https://www.forbes.com/sites/metabrown/2017/05/30/if-you-want-to-succeed-with-analytics-effective-communication-is-a-must/4/#1a1f627d4c44

 

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Black box and Artificial Intelligence

Subsets of AI are diversifying and algorithms are growing advanced. AI had an alarming impact in many instances. Certain applications of AI are called black box because it is difficult to understand how the result have been generated. Decoding the black box technique involves optimizing a given function in isolation, and sharing it as necessary. This makes the work a lot easier and scales the data. Firms need to make people aware of AI's applications in order to make it more transparent. AI cannot be completely trusted with certain applications. In future, we have to embrace AI and develop trust on it because it has many advantages and black box is a positive step in this direction. Read more at: http://analyticsindiamag.com/making-sense-black-box-artificial-intelligence-trust-ai-completely/

 

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Assuring Customer Data Security

Small businesses are vulnerable to hacking. Hackers attack smaller businesses assuming that they can quickly get in and steal customer data. So, to strengthen the customer data security the following can be followed. The first thing to keep in my mind, is it as data grows the security system should be improved. Next is building up the online sales. Once it can be shown that the threats of hackers and viruses are taken care of, customers will rely on the company more and thus consume online. Third is to use the right technology to protect the data. Installing some software which will constantly monitor the system and give alerts if someone tries to break into the secured information can be helpful. Additional protection measures such as authenticator tabs and biometrics should be considered. Fourth is that only technology shouldn't be relied upon. Fifth is risks shouldn't be underestimated i.e., companies should always be prepared beforehand and have proper security measures. Lastly, it is important for the companies to know where the data is located, this way, they can be prepared in the event of a natural disaster or if any other problem hits the location where the cloud servers are located. Read more at: http://www.analyticbridge.datasciencecentral.com/profiles/blogs/tips-for-reducing-fraud-and-bolstering-customer-data-security

 

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Principal Component Analysis

Principal Component Analysis is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possible correlated variables into a set of values of linear uncorrelated variables called principal components. The goal is to explain the maximum amount of variance with the fewest number of principal components. PCA transforms the initial features into new ones that are linear combinations of the set of variables. For this analysis, first the original values should be normalized and the covariance matrix should be formed. The eigenvalues and eigenvectors should be calculated and the eigenvector with the highest eigenvalue has to be chosen. For the highest eigenvalue the data set matrix has to be multiplied and finally the mean can be put back which was removed in the beginning. However, if the original data set is correlated the solution can be unstable. Read more at: http://www.datasciencecentral.com/profiles/blogs/introduction-to-principal-component-analysis

 

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BI dashboards and why should we choose them!

Irrespective of the business sphere one belongs, it is necessary to keep a business intelligence dashboard which increases the ability to correctly monitor data and also helps in decision making. Four major reasons why BI dashboard is to be maintained can be listed as follows: • Increased consumability as a result of keeping track of the collected data and information and converting them to analytic charts and tables.
• Data sometimes gets useless within a period of time and an up-to-date BI dashboard helps avoiding this problem.
• Moving towards one goal is necessary,  even if the system is departmentalized, BI gives a bigger picture to move towards that goal
• Finally, a BI dashboard gives the accurate results and also makes it quicker. Read more at: http://www.plasmacomp.com/blogs/4-reasons-to-implement-bi-dashboard-into-your-business%20
 
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World's smallest manned aircraft: The Pitch

The world's smallest manned hovercraft is built by Air Board. It is useful to help search and rescue organizations. It gives them better access to areas that are hard to reach. The article gives the full description of the product. It explains the way it works, how it is useful with the main objective of saving lives and at the same time how it is more useful than any other mode of transport at the time of emergency. Read more at:  http://www.siliconvalley.com/2017/05/08/the-pitch-how-this-tiny-hovercraft-could-save-lives/

 

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Startups: Emerging Workplace for Indians

Even though the stability of startups is highly uncertain, still it is the most sought-after category of workplaces in India. Established startups such as Flipkart and Paytm rule the roost, some other best startups for workplace in India are Robolab Technologies, Fynd, 1mg.com,etc. According to CEO of Aasanjobs, based on parameters like career development, work engagement, compensation, relationship management and work environment, startups were surveyed to form a list of best workplace in India. Read more at: http://economictimes.indiatimes.com/small-biz/startups/startups-most-sought-after-category-of-workplaces-in-india-report/articleshow/58929944.cms

 

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Time-Series and Auto-correlation

In the time series, after isolating trends and periodicity, a normalized time series is left. To check whether the data follow some well known stochastic process, model fitting is done. If the model has an autocorrelation then it is de-correlated and after de-correlation it is checked whether it behaves like white noise, or not. The article further explains how to remove auto-correlation in a time series with the help of first order autocorrelation and linear algebra framework in PCA with an example as well. Read full article at: http://www.datasciencecentral.com/profiles/blogs/how-and-why-decorrelate-time-series

 

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Data Scientists and Mathematics

Data science and mathematics together makes learning more interesting. Passionate data scientists towards mathematics solve many modern math problems using data science. This article gives selection of 12 interesting articles, about mathematical problems, math-free algorithms and statistical theory. Most of them can be understood by the layman. Some of them include R code and some include processing vast amounts of data. Some of the articles are: Simple Proof of the Prime Number Theorem, Fascinating Facts and Conjectures about Primes and Other Special Number,Factoring Massive Numbers: Machine Learning Approach.

Read more at: http://www.analyticbridge.datasciencecentral.com/profiles/blogs/10-interesting-reads-for-math-geeks

 

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IT operations: problems and solutions

The main responsibility of DevOps and IT operations teams include solving problems and facing challenges which is becoming tougher by each day. This is where real-time and centralized log analytics come to the rescue. It helps them in understanding the essential aspects of their log data, and easily identify the main issues. While Artificial Intelligence (AI) was a big thing a few decades ago, it is now being commonly used. As IT operations becoming more complex, AI is becoming a powerful and essential tool. One solution can be to have a platform that has collected data from the internet about all kinds of related incidents, observed how people using similar setups resolved them in their systems and scanned through your system to identify the potential problems. Cognitive Insights can be introduced, this technology uses machine-learning algorithms to match human domain knowledge with log data, along with open source repositories, discussion forums, and social thread. Read more at: http://readwrite.com/2017/05/15/artificial-intelligence-transform-devops-dl1/

 

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How to Survive Artificial Intelligence

AI

Artificial intelligence (AI) is going to steal your job and. If we do not prepare now, we may face a future where AI runs free and dominates humans in society. The AI revolution is going underway. So, how to survive the AI revolution. First, recognize AI. It is already here. For example, Google suggestion, Facebook timeline ranking, YouTube suggestion are some of the examples of AI. Second, identify where it is growing. AI is particularly good at any task that requires an enormous amount of repetitive processing. If this is your job, then it is the time for looking for an alternative for survival. Third, plan an action for AI revolution. One thing you can do is oppose this AI or just make yourself comfortable with it. In other words, be ready to upskill where possible. AI can learn very well, but it cannot learn flexibly (yet). You can. There are new jobs now available that did not exist five years ago. So if you allow AI to grow, you will find that it will help to increase your standard of life given that you prepare well. Read more at: http://dataconomy.com/2017/05/survival-guide-ai-revolution/

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How to Protect Your Internet Browsing Data

how-to-protect-your-data

People think that they are safe when they use Incognito Browsing. But this only stops the browser you are using from keeping a record of the websites you have visited; your ISP will still know where you have been online. Your browsing history is used for targeted advertisement. Companies like Facebook and Google sell this data to advertisement companies. So, your data becomes extremely vulnerable to these companies. So how to stop these companies from Stealing your Personal Data? Here are some suggestions: (1). Using A VPN (Virtual Private Network). A VPN first encrypts your data then send it to the database, making it impossible to read the info for anyone. (2). Using a different ISP (Internet Service Provider) may be a better idea. Because not all the ISP are safe. (3) The Tor project is a nonprofit organization that conducts research and development into online privacy and anonymity. It is designed to stop people, including government agencies and corporations, from tracking your browsing habits and location. Read more at: https://www.entrepreneur.com/article/292646

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Sentiment Analysis for Product Rating

Sentiment-Analysis

Sentiment Analysis for Product Rating is the system that detects the hidden sentiments in the comments posted by the consumers and rates the product accordingly. This system uses a sentiment analysis method. This is an E-Commerce web system where the registered users will view and comment the product. And then the system will rank the product after analyzing the users’ comment. Comments will be compared by with the keywords stored in the system database. On this basis, system will specify whether the product is good, bad or worst. This application also works as an advertisement which makes many people aware about the product. This system is also useful for the users who need review about a product. Read more at: http://nevonprojects.com/sentiment-analysis-for-product-rating/

 

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