Every human being is interested to know their chances of getting sick in the future. This is where artificial intelligence scientists steps in. With the combination of machine learning, natural language processing and text analytics scientists are working to find out some latest concepts and technologies in biomedicine. Each term is then given a score, which, based on the technology's analysis, identified its predicted rate of incline. So based on that, few predictions have been made for 2016.  To know more, follow: http://www.science20.com/news_articles/ai_may_tell_us_whats_going_to_be_big_in_science_this_year-165373

The field of smart wears brings up wonderful innovations each day. New horizons are explored and tested. This merging of machine and man has brought many such things which we never thought of. Exoskeletons are one such example. These give superhuman abilities to human beings. Nowadays there have been issues regarding privacy. There is always a third eye around looking and collecting more and more information about you. So to protect this the stealth wear is coming. To make this work you need to find the right reflective material that can block surveillance cameras and mobile tracking devices. Smart textile and smart clothing are already very popular. These have various applications ranging from health monitoring clothes to the environmental monitoring ones.  Read more at: http://www.latimes.com/business/technology/la-fi-thedownload-wearable-tech-oddities-20160209-story.html

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.

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

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

The use of predictive analytics in the Human Resource Management is the recent development. The HR team is taking advantage of the loads of data to keep a check on the employees. Predictive Analytics is changing the relationship between employee and enterprise. Predictive models can easily predict the upcoming trends. The performance of the employees can be judged in an unbiased way rather than gut feelings. The models identify meaningful insights by collecting data from the various platforms. The kind of posts that individuals have on the social networking platforms, LinkedIn profiles all lead to predictions. HR teams use these insights to decide the promotions, pay scale etc. This also acts as a disadvantage to the privacy of workers. Soon there will be a need to redefine the worker privacy laws which will take care of these new technologies. Read more about this in the article written by Rodd Wagner (A best- selling author) at: http://www.stevenspointjournal.com/story/opinion/columnists/2016/01/22/predictive-analytics-transforms-workplace/79116764/

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 

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

Business Plan is a systematic evaluation of the business goals, the reasons behind attaining them and tailoring a plan to reach up to them. The reason for the failure of many businesses is that they don't start with a business plan. It is essential as it helps in realizing the vision of next 2 to 5 years. So the start- up can always keep a check whether they are proceeding in the right direction. Must haves of a business plan are: Business Overview, Market Analysis, Marketing Strategy, and Financial Information. Before you start writing your business plan, you should honestly evaluate yourself and decide if your business idea has a good chance of success. Write down about how you intend to make money, what will be your business model. Start with your company description. A thorough description of the business environment and analysis of its strengths, weaknesses, opportunities and threats supports its marketing strategy. Financial information, gives the details of how the company will run the finances in the upcoming years. Read more at:  :  http://yourbusiness.azcentral.com/four-major-types-information-presented-business-plan-9328.html

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

Contextual Integration refers in 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/

Retargeting is a form of online advertising that focuses on display ads to the visitors after they have left your website. It is a cookie based technology. It has proved to be of benefit to B2B businesses, according to the statistics. Retargeting can be done in three ways.

 1. Pixel-Based Retargeting: The marketer places JavaScript code on his website which drops a cookie on a visitor's browser.

2. List- Based Retargeting: The marketer prepares a list of contacts from email marketing campaigns or for some other source. It then serves them with a specially targeted ads on the Social Networking platforms.

3. Search Retargeting: Search retargeting targets user audiences based on previous keyword searches, they have conducted on search engines such as Google, Yahoo & Bing.

There are many tools available in the market that can be used to design the strategy for retargeting. Read more about it in the article written by Jessy Smulski (a valued contributor to Business 2 Community) at: http://www.business2community.com/b2b-marketing/tips-retargeting-b2b-leads-beginners-guide-01441414

The smart span filtering algorithms of the internet service providers make it difficult to reach the user's inbox with advertisements. So to take benefit of the email marketing, you need to keep few things in mind. One needs to integrate a HTML button in your email that is coded as Call to Action (CTA). These make the emails responsive. HTML buttons help in building and engaging traffic. A well designed HTML email reinforces your brand even in the email. The HTML button is visible before the images get loaded. According to a report, the majority of the online purchasing begins from the mobiles. So the emails should be very responsive for these devices. The three components needed for this are: Right breakpoints, Larger Text on Mobile Devices, CTA buttons. Read more about it on: http://blog.marketo.com/2015/12/3-email-marketing-must-haves-to-conquer-the-inbox.html

Start-up and entrepreneurship is not only regarding ideas you have, it also regarding the execution of that idea. Great ideas without execution and follow-through stand nowhere even if you have a good idea. The important things one need to do, if one wants to achieve success with your ideas 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

90% of the world's data has been generated over the last two years, according to the reports. With this increasing amount of data it is necessary for the organizations to upgrade the data centres. In order to cope up with the emerging technologies, data modernization is very important. Those still stuck to the old ways are at a loss. Data Oganization done in a proper way gives way to crucial insights. This doesn't mean only adding more servers, but finding a solution that takes care of economic conditions, technical aspects, people and the processes involved. Cloud based platforms are of great help and with increased automation of technology, data centers can reduce the repetition of the mundane tasks. Read more at: http://www.information-age.com/technology/data-centre-and-it-infrastructure/123460849/why-all-industries-should-consider-modernising-their-data-centres

Failures in the functioning of equipment are inevitable in any kind of industry. The repair and recovery time often leads to big financial losses each year. But we have machine learning and predictive analytics as a solution. The machine learning models are trained to learn the ideal functioning of the machinery. Then this functioning is compared with how the machines are working at present. So if even a minor change occurs somewhere, it doesn't go unnoticed. Then, with the help of predictive analytics the loss that can take place in the near future is predicted. This adds to the huge advantage of the firms. Learn more about this in the article written by Mike Reed (manager of analytical services for Avantis PRiSM software) at: http://www.intelligentutility.com/article/16/02/saving-money-and-man-hours-machine-learning

Machine Learning is getting easier and accessible because of the computing power becoming affordable. Moreover, big enterprises are making their algorithm open source. This is because data is the food. More data an algorithm gets, the better it becomes. But from step 1, making algorithms, feeding data in humans play a significant role. Sometimes there are outliers which the algorithms cannot interpret. Here human intervention is necessary. They manually check such pieces. But when these are fed into algorithms, they make them robust by identifying outliers. Thus, human intervention is both necessary for accuracy and training. Read more at: http://insidebigdata.com/2016/01/11/human-in-the-loop-is-the-future-of-machine-learning/

Email Marketing is good for business. It is a tool continuously being used for connecting with the customers. Emails are sent comprising of newsletters, best deals, new products, etc. A few ways to enrich your email marketing are written here. Though not everyone opens the newsletter, but still it is important to give a detailed view to the customer of what you deal with. Order follow - ups gives a sense of satisfaction to the customers. Thus making long lasting bonds. It is important to approach the potential customers who aren't aware of your products. They might be in need, but due to lack of information they are inactive. A good conversion rate is observed in this category. The essence of businesses lies in their approach towards their customers. So it becomes a responsibility to bring the customers lost. Moreover, lucrative deals, coupons, discounts work quickly. Read more about it on: https://econsultancy.com/blog/67403-ecommerce-email-marketing-benchmarks-for-2016/

Most businesses need a combination of multiple marketing techniques to exhaust the full potential and make it more productive. Though internet usage is increasing each day, but offline marketing channels still involve lots of customers. Best marketing strategies merge both offline and online marketing. This might seem a difficult task, but machine learning models make it easier. These lessons from the data field which channel, in what way, and at what time will be most effective for the particular set of customers. This is called intelligent messaging. Thus leading to maximize success of marketing. A significant increase in the success rate has been observed in the marketing strategies using these techniques. Learn more about it in the article written by Brendan O'Kane (managing director and chief executive officer of OtherLevels) at: http://www.itproportal.com/2016/01/04/intelligent-messaging-big-data-machine-learning-a-powerful-combination-for-multi-channel-marks/

Despite the many differences in application, most people agree on that the disruptive innovation are: 1. Cheaper 2. More accessible and 3. use a business model with structural cost advantages. Due to the presence of these characteristics in disruption, it's difficult for an existing business to respond to competition. To read more above disruptive innovation follow: https://hbr.org/2016/01/how-big-data-is-changing-disruptive-innovation

The evolution of Machine Learning (ML) is affected by the approach of the tech giants towards it. Open Source Platforms and the data sources also have an important impact on the ML models. Tech giants have realized the importance of ML, and this is becoming the new normal for them. They are now focusing on providing ML models as a Service. These are built for the common usage, not just for the data scientists. Most of the softwares being used for ML are open sources, thus affecting the market of other softwares making sources. Tools like Apache Spark are going to dominate the market. Read more about it on: http://www.infoworld.com/article/3017251/data-science/what-machine-learning-will-gain-in-2016.html