Predictive Analytics To Help Police In Reducing Crime

Nowadays, data analysis and space technology are used to help live crime mapping and is known as Predictive Policing. This has been used by various police departments of the few developed countries. In India, Delhi Police is also developing this mechanism in partnership with the Indian Space Research Organization (ISRO). It is called The Crime Mapping, Analytics and Predictive System (CMAPS) and is used for with ensuring internal security. This will help in crime control, and law and order and security management through analysis of relevant data and patterns, leading to the optimization of available resources. Each police officials will be equipped with Personal Digital Assistant (PDA) device connected to a central processor, with the records of more than two lakh criminals. To read more about Predictive Policing, follow: http://www.indiatimes.com/news/india/delhi-police-join-hands-with-isro-will-use-space-technology-to-predict-and-stop-crime-250432.html

Latest Trends in E-Commerce

There was a time when all the retail stores were taking their business online. But now the well- flourished online stores have begun to establish their brick and mortar stores. In addition to the online setup, they are now even working on traditional retail. An online presence has become crowded and expensive. According to a report, there are more than 800,000 online stores, all competing to attract customers through the gateway of Google. By opening the physical stores they aim to create awareness and attract more customers. They have seen that this creates awareness for their brands and drives a lot of traffic to our website, as well and accelerate the e-commerce sales. Read more at: http://www.theguardian.com/business/2016/jan/30/future-of-e-commerce-bricks-and-mortar

IT Issues of 2016

The Information Technology (IT) industry had changed a lot from its early years. If we see today, IT sector is changing at the rapid rate and also the problems related to it. Today IT is everywhere directly or indirectly. But if we look at the education system, it was never been easier to manage, but nowadays, it is like a choice between the difficult and the impossible. That is because of the rapid changes. So it is the reason of slowing down the pace of IT sector. The question arises as to how can we align our timelines and change our ecosystem? Top ten IT Issues gives a clear response: Divest, Reinvest, and Differentiate. The ten issues divided into these three categories are: 

# Differentiate: 

* Optimizing educational technology. 

* Student success technologies. 

* BI and analytics. 

* E-learning and online education. 

# Reinvest: 

* Information security. 

*IT Workforce Hiring and Retention. 

* IT Workforce Hiring and Retention 

* IT Organizational Development.

# Divest: 

* Institutional data management. 

* Enterprise application integration. 

Read more at: http://er.educause.edu/articles/2016/1/top-10-it-issues-2016

Data Analytics shaping the different sectors of society

Data analytics is now not only restricted to the IT sector, but also serves other sectors of the society. If we look at the services and other sectors where data analysis can be used then, the list will be very long in today's world. Data analytics is used in each and every sector including sports, politics, medical and financial firms. Some of the predictions of how analytics will shape the business, sports, and political landscape in 2016 are: 

Prediction #1: The hottest corporate job of 2016 is data analyst, 

Prediction #2: IT will embrace the self-service analytics movement, 

Prediction #3: Predictive analytics go mainstream, and 

Prediction #4: The "Internet of Things" (IoT) will get more organizations interested in geospatial analytics. 

To read the full article, follow: http://www.forbes.com/sites/valleyvoices/2016/01/20/five-ways-data-analytics-will-shape-business-sports-and-politics-in-2016/#612ab3395a1d

Good Business Ideas for Start-ups

Start-up and entrepreneurship is not regarding ideas you have, it is regarding the execution of that idea as well as the follow-through on it. Great ideas without execution and follow-through stand nowhere even it may happen that you have an idea, but haven't executed it and the people who follow the same idea and executed may build a huge start-up. The important things one need to do, if one wants to achieve success with your idea are: 

1. be confident. 

2. Accept risk. 

3. Define your purpose. 

4. Create a plan. 

5. Assemble a like-minded team. 

6. Constantly build momentum. 

7. Anticipate obstacles. 

8. Establish a professional/personal balance. 

9. Set micro-goals. 

10. Be patient. 

To read in detail, follow the article by Jonathan Long (Founder and CEO, Market Domination Media) at: http://www.entrepreneur.com/article/269869

Do Artificial Intelligence and Internet of Things Angel or Devil

The term "Artificial intelligence" (AI) was first introduced by the John McCarthy for the study of intelligence which is carried out using a computer. AI is becoming reality and both fear and faith are also increasing day by day. Even many movies like the terminator, ROBOT, RA-One are based on AI and machine taking control. Similarly, the world famous physicist Stephen Hawking shows his fear on the growth of AI and IoT by saying that the full development of AI could "spell the end of the human race". It is expected that by 2020, about 80% of adults will own a smartphone. It is also changing the way people relate to one another and their surroundings. There are apps for most of things that you can think of, like fitness apps, cooking apps and much more. Today AI and IoT are allowing people to do more things on their phones and off them too. Read more at: http://www.notchcommunications.co.uk/blog/2015/03/the-dawn-of-artificial-intelligence-and-the-internet-of-things

Predictive Analytic supported with contextual Integration is the secret of success

Contextual Integration refers to identifying meaningful relationships between different information types. This gives a multi-dimensional view of the data rather than a single access point. The best approach is to analyze these volumes of data from different perspectives. The traditional way is to follow a fragmented approach. The web teams, marketing and sales team will look at the different statistics offered by data. This lengthens the time to take decisions and also introduces inaccuracy. The need is to look at data from many angles to create a multi- dimensional profile of the customer. Then predictive analytics can assess and lead to intelligent messaging. Machine Learning is also helping to improve these predictive analytics algorithms by checking it on the real time data. Read more about it in the article written by Dominik Dahlem (Senior Data Scientist at Boxever) at: http://data-informed.com/contextual-integration-secret-weapon-predictive-analytics/