Customer service is the most effective part of any company. It not only helps to improve customer retention rate, but also helps to understand new market trends. Big data analytics and business intelligence play a crucial role here. Simple web crawling into a social site helps to understand the on-going sentiment and current market trend. Different social responses, video hits, ads and newsletters help to optimize the search results. In other word this process facilitates smother recommendation system and customer centred predictive modelling. To make a better prediction we can use –

1. Connectors help to integrate diverse data sets in different formats

2. Lightweight search facilitates even non-technical data analysis

3. Queries optimizes the search dynamics

4. Enterprise search also scores with its semantic search, which means that the context is recognized and included in the analysis and structuring of the data.

Using all these parameters business enterprises can design a better profitability model.

To read, follow: http://www.computerweekly.com/blogs/Data-Matters/2016/02/search-driven-business-intelligence-intelligence-for-a-customer-centric-business-world.html

We are moving towards a future in which technology will change journalism. Over the last couple decades, media sales and marketing have been on a journal to find effective ways to monetize digital media. Technology engaged journalists in the preparation of visual or audio material intended for dissemination through public media. It includes genres such as news, reports, analysis about a variety of topics including communication technologies, social media, internet, scientific research, robotics and policy regarding the digital world.
To know more, please read the article by Tom Regan(Blogger foe NPR): http://niemanreports.org/articles/technology-is-changing-journalism/

Google, Amazon, and Apple all are tech giants. But apart from being this, they also have one more thing common and that is they all have their data center in rural areas. But this is more of an exception than a rule. Most data centers are located in or close to a city. These giants have done this due to the cheaper rate of lands available in rural areas. But these places lack good telecommunications and power infrastructure. Moreover, there are enough facilities to attract right human capital to such places. It’s better to have a data center in a city than a village. Read the complete article here:  http://www.cio.com/article/3036080/data-center/cities-not-cornfields-draw-data-centers.html

The most important issue in IT industry is a cyber - attack these days. Advanced security measures and sophisticated firewall systems are not free from bugs. Hence it is not difficult to crack complicated coding and launch a potential cyber-attack. Sometimes it is observed that these attacks take around one month time to get sorted out. So the question is how did these hackers are getting access to data of a particular company? The answer is simple, it's an in-situ type attack, i.e. hackers stay inside the firm and get familiar with encryption pattern, firewall dimensions and sophisticated filters. The solution is to identify these red flags. That can be only managed if all small potential deviations are identified and listed. These create a huge data pool which can be implemented to automate the alert system. By this process small attacks can be taken care off in no time and protect company from higher damage.

To read, follow: http://www.informationsecuritybuzz.com/articles/data-analytics-in-the-early-detection-of-cybercrime/

Network security consists of the policies adopted to prevent and monitor unauthorized access, misuse, alteration of computer network and network resources available. It also requires the authorization to access data in a network that is controlled by administrators. Users' needs to choose or assigned an Id and password and other information that allow them to access information and programs within their authority. Network security covers public and private computer networks, which are utilized in everyday jobs, conducting transactions and connection among business and government agencies and individuals and are involved in organizations, enterprises, and other institution. The most common and simple way to protect a network resource is by assigning it a unique name and a corresponding password.  To read more, read an article by Brendan Ziolo (Head of large enterprise strategy, Nokia): http://networkcomputing.com/net-security/security-starts-network/1250114547

Chemical industry deals with lots of data sets. Some of these data are relevant to product development and the rest of them mostly helps to identify external parameters governing the production process. Generally, big data help to facilitate cost cutting issues. It brings a new product to the market and improves industry environment. Intellectual sensors are integrated with the research and material related informatics. This process minimizes the time required for new innovation. Sensitive sensors can also help to predict the upcoming situation by measuring current situations. Big data works in the back end. This ensures worker's safety by analyzing the toxic level, heart rate, etc. Intelligent sensors diagnose the past chemical data and all possible combinations to predict the new combination. It smoothens the R&D process. Therefore, automation, safety guide and intelligent forecasting are the key mantra for success in the chemical industry.

 To read, follow:  https://www.environmentalleader.com/2016/02/23/how-big-data-is-changing-chemical-manufacturing/ 

Big Data is massive. This article will explore the issues of big data: what it is, how it will improve decision - making, and how to use it correctly.

1) What's the big deal about big data?

Big data is all about three "V's" Velocity, Volume and Variety.

2) How it will improve decision?

# Deliver customer insights.

# Deliver targeted communication.

# optimize performance.

3) How to use it correctly?

# Collect data.

# Clean Data.

# Merge Datasets.

# Analyze Data.

To learn more about big data follow the article by Angela Hausman (PhD) at: http://www.business2community.com/big-data/big-data-like-teenage--01458960

It is the very beginning of the robotic revolution. The progress in this field is set to increase its pace. So this instills a fear what if these AI models grow smarter than those who created them. With AI applications covering up all your works, what is the purpose that it might leave you? The use of AI is growing fast in all the sectors. It is helping in improving the human living standards. There is a gap between the computers and human beings. But the upcoming AI models are focused to remove this gap. This will make computer - human interaction more like human like interaction. Read more about it in the article written by Damon Beres(Senior Tech Editor, The Huffington Post) at: http://www.huffingtonpost.com/entry/artificial-intelligence-mit-tech-conference_us_56cb20ade4b0928f5a6c7463?section=india

It seems that the long winter of AI has come to an end and this field is enjoying the unstoppable progress in the spring stage. But the only way AI becomes more powerful is by getting fed with a tremendous amount of data. More the data, better the efficiency of the AI algorithms. Seeing the helpful uses of such AI based applications the users happily allow the access to any kind of data. In the coming times, there will be applications which would demand access to every kind of data you generate. And the truth is we will willingly submit our data. Because bigger the data sets are, smarter the AI. The major reason for feeding the AI algorithms is that is improving and helping the human life. Read more about it in the article written by Mike Elgan (author of  technology and tech culture) at: http://www.computerworld.com/article/3035595/emerging-technology/artificial-intelligence-needs-your-data-all-of-it.html

To get the raw data, processed through the Artificial Intelligence models, the data has to be uploaded on a cloud. But there are privacy issues or time wastage in uploading data on cloud and retrieving back. Internet connection is a must. So to eradicate these problems, researchers have developed a chip that could bring AI to the hardware like smart phones, sensors or other mobile devices. These have very large neural networks, which can process data then and there. This means without having access to Wi-Fi or other connections, users can get meaningful insights rather than just the raw collected data. This technology will be of great help in the field of Internet of Things. To know more, follow: http://electronicdesign.com/iot/artificial-intelligence-gets-its-head-out-cloud

Big data analytics can analyze the past behavioral data of humans. It is highly correlated to future outcomes.  The most important task is to understand how much emotional extent can be predicted accurately. By analyzing critical reasoning and judgmental decision, there will be higher chances to predict more efficient human behavior. Social media plays an important part by providing more sensitive data having higher emotional quotient. Search dynamics also help to predict future trends. Therefore, combining big data, transaction data and social data along with shopping behavioral data opens a new horizon which enables marketers to influence human behaviors and perceptions. To read, follow: : http://www.forbes.com/sites/forbesinsights/2016/02/02/has-big-data-taken-the-human-out-of-human-behavior/#2280493b170c 

Cyber securities are becoming a concern even for small enterprises today. Enterprises are investing a lot of money to resolve this issue. Here are three themes that can affect banks, small business and the economy-: 1. Tackling Evolving Cyber Security Risks - Small businesses are the most credulous target for the cyber attackers. They should keep data private, check the bank account regularly, develop enforceable security policies & protocols, and participate in action plans so that employees know what to do at the time of the rift. 2. Prioritizing Small Business Growth in a Post-Crisis Era -  Small business needs to raise their interest rates as expected the Federal Reserve increased rates by 25 basis points on Dec16 for more competition & structure plans to secure funding for future growth.
3. Continuing to Play by the Rules -  The regulatory environment will have to keep expanding its range. Growth comes the unavoidable growing points, as banks, and business deals with high regulated, low interest rate for more competition, more partnership and more technology.
To know more, please read the article by Frank Sorrentino (contributor in Forbes): http://www.forbes.com/sites/franksorrentino/2016/01/12/cyber-security-small-business-and-the-2015-trends-that-will-matter-more-in-2016/#761765904708

Sporting events are increasingly depending on cloud computing. From cloud based mobile apps, followers can enhance their experience, ascertain the future value of trading an individual player and find out an athlete's momentum in real time by using predictive analytics. The cloud has revolutionized professional broadcasting by eliminating the risk of upfront IT investment, cutting off enormous resources needed to deploy traditional data centers. To know more, please read the article by Ben Rossi ( Content writer at Information Age )-:  http://www.information-age.com/technology/cloud-and-virtualisation/123460174/why-future-sports-cloud

Artificial Intelligence is used to generate intelligent behaviors in gaming, to simulate the human behavior. But to make the experience more natural it is required that the artificial intelligence based players in the game must imitate the human behavior. That means they also must be prone to errors and mistakes. This is the real challenge in gaming for AI. AI models remember the patterns, so this avoids repetition of mistakes. Humans can lie very easily at every step. This is a complex phenomenon for the AI models. So this is what computer engineers are working on to make games with AI appear more natural. Read more at: https://www.newscientist.com/article/2078134-cleverness-isnt-everything-for-a-gaming-artificial-intelligence/

Data analytics are the most essential part of any organization these days and requires efficient personnel having a greater skill set in data science. But, there is not enough parity between demand and supply. According to a recent study, it was found that there is demand for computer programmers with a background in data analytics, but out of the 332,000 computer programmers in America, only 4% had the necessary skill sets. So to bridge the gap, the online training method can be a helpful process and is flexible and this in turn enhances productivity. This is a continuous process of development and helps to figure out new talent within the organization. But all these processes can only be possible if colleges and universities encourage their student to learn data science and master in those skillet.

To read, follow:  :  http://www.cio.com/article/3033887/careers-staffing/can-online-training-bridge-the-big-data-skills-gap.html

Augmented reality or AR is the ability to insert and overlay digital data & virtual information and now it is being used for archaeological work and research. AR allows students, research scholars and professional to access the artifacts and collections with accurate details and measurement. It also helps to preserve the artifacts since they have the constraint of physical contact. To know more, please read the article by Jennifer Shin (Writer at Augment) -: http://www.augment.com/blog/visualizing-the-past-pioneering-technology-in-archaeology/

Investment in shares requires analysis of huge historical data. Analysis is the primary phase and it forecasts the future investment process. Broking house plays a clinical role in this context and charges a percentage of hike in shares. But these days such information is frequently available in different websites and are updated on a regular basis. The usage of technology for predictive analysis is hugely correlated with big data. These are limited to institutional buyers. The automation in predictive analysis requires a huge precision which is cost effective, but its implementation could be a game changer.

To read, follow: http://www.thehindubusinessline.com/markets/stock-markets/big-data-robo-analytics-to-drive-next-phase-of-growth/article8249330.ece

Any decision pertaining to designing products, environments and brand experience is closely connected to the use of colour because it depends on the buying behaviour of customers, brand perception, strategic differentiation, and user experience. But availability of information related to colour perception is limited. Organizations are using big data to analyse colour preference and perception which contains over a 100 years of data. They divided their study into four categories regarding colour data, analytic and insight:

1. Colour competitive intelligence is relevant for aggressive in brand competition.

2. Colour legal intelligence helps to identify the colour norms available to different countries.

3. Colour Research Intelligence collates colour studies that have been conducted over the past century, world-wide, about the industry and product segments.

4. Colour listening intelligence signifies how much buzz about a particular colour is popular in the market.

These all studies benefit other companies by creating their own colour mix to attract new customers, branding and dictate consumer preference trends.

To read, follow: http://www.forbes.com/sites/michellegreenwald/2016/02/17/a-new-comprehensive-4-in-1-big-data-resource-to-aid-color-innovation/#6e729df04012

The intelligence exhibited by machines is called artificial intelligence (AI). To a layman this field is full of mystery. But AI is embedded is many things that often go unnoticed. Organizations are using AI to make the consumer experience better. So, you are no longer cluttered with irrelevant ads. The recommendations on the social media platforms are the result of machine learning and artificial intelligence models. There are smart entertainment apps that learn from your behavior and choose what is best suited for you. To read more follow:   http://insidebigdata.com/2016/02/12/why-consumers-need-to-stop-fearing-artificial-intelligence/

We use the internet every day to access social media. We perform many tasks using the internet believing that it is safe, but it is not so. Sometimes, we neglect the security and preventative measures. To prevent cybercrimes, there are some tips that can be followed. They are: • Constantly update passwords and log in details.

• Use encryption for important files

• By activating the built-in security feature we can avoid any access to personal details in our mobile devices.

• Always think before clicking on a link or file of unknown origin .Everyone must check the source of the message.

To read visit on:  http://www.forbes.com/sites/forbestechcouncil/2016/02/09/eight-proven-strategies-to-deal-with-cybercrime/#2307b2d1258c