Artificial intelligence is the most powerful tool. It can be used in any industry.  A smartphone can act as a personal tutor i.e. artificial intelligence can not only be used to teach, but also get to understand learning style, strengths, and weaknesses. In the healthcare industry, AI helps a doctor or nurse to chat with the patients and recognize the symptoms at the tap of a button on your smartphone. In transportation system, AI is used to understand their customer's need and provide better service. As a whole AI is the next stage of human excellence.

To read, follow: http://www.businessinsider.in/The-cofounder-of-Uber-told-us-how-artificial-intelligence-could-revolutionize-the-world/articleshow/51434466.cms

An analytical model takes time to capture data from environment to give a representative distribution. Machine-learning technologies will analyze the data. They try to determine an appropriate distribution. Statistics, analytics, and machine learning are some tools that will help resolve security problems faster, and with fewer resources. This will influence the next wave of automated and predictive defenses. If it is implemented properly, the security benefits of big data analytics will be huge. For more read the article written by Celeste Fralick (Partner Perspectives): http://www.darkreading.com/partner-perspectives/intel/knowledge-gap-series-the-myths-of-analytics-/a/d-id/1324602?

401(k) is a retirement savings plan sponsored by an employer. It is found that retirement planning and wealth management firms are upgrading themselves with client segmentation. Nowadays, segmentation and predictive analytics projects are important to organizations. Segmentation is an important as it help firms continue to add resources. Firms are also trying to progress with the help of big data. For more read the article written by John Sullivan : http://401kspecialistmag.com/segmentation-critical-fully-understand-clients-across-channels-march-2016-boston-new-research-cerulli-associates-global-analytics-firm-finds-firms-approaching-client-segmentat/

Prescriptive analytics is considered the third wave of the Big Data revolution after descriptive analytics and predictive analytics. Prescriptive analytics add a third layer of technology by evaluating possible actions in response to the data and produce a desired outcome. Combination of predictive and prescriptive analytics can be helpful for organizations which wants to do more in less time. Combining prescriptive and predictive analytics add more features into the equation, such as the responsiveness of a prospect to your outreach. Effective prescriptive analytics deliver more transparency and control. For more read: http://insidebigdata.com/2016/03/03/how-prescriptive-analytics-puts-complex-decision-making-on-rails/

Nowadays, computers solve crimes, drive cars, cure sickness and accurately predict political races. But the problem is, it's not enough to just store, access and process data. Machine learning and artificial intelligence algorithms are divided into two factors: huge quantities of timely and accurate data. There are four typical methods to be used to acquire data. They are -1. Required self-declared data,2. Self-declared or observed data 3. Volunteered self-declared data, 4. Crowdsourced observed data. For more read the article link written by David Elkington: http://techcrunch.com/2016/03/01/getting-predictive-about-politics-and-everything-else/

Big data analytics are helping organizations connect their data and use it to identify new opportunities. Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. Here are some sectors where big data are making an impressive impact-: 

# 1. Healthcare 

Big Data Analytics in the healthcare sector helps patients and the healthcare ecosystem to be aware of the appropriate treatments and measures to be taken.

#2. Retail

In the retail sector, analytic solution offers insights to understand and respond to changing customer experience.

#3. Banking

The financial sector has to deal with vast volumes of data. This sector poses higher vulnerabilities to fraud and financial crimes.

#4. Manufacturing

In manufacturing, operations managers can use advanced analytics to dig historical data to study and improve production.

To know more, please read the article by Arya MM (Writer at infotechlead) -: http://www.infotechlead.com/big-data-2/biz-booms-investment-big-data-analytics-38700

 Lee Sedol, The champion Go player, ranked 5th in the world, has beaten Google's AlphaGo artificial intelligence program in their fourth of five matches in Seoul, South Korea. AlphaGo is an ultra-complex abstract strategy game. This particular game requires a high level of human intuitions & higher perceptions and is slightly more difficult than chess. At the match when AlphaGo made a mistake, there was a question mark on its quick response ability.

Read more at: http://www.forbes.com/sites/parmyolson/2016/03/14/human-go-champion-beats-google-alphago-ai-fourth-match/#655b1699292e 

Instagram is a social platform that offers a great opportunity for content marketers to increase their impact. Instagram has an engagement ratio that is eight times the average of the other four social platforms. Instagram continues to expand its ad platform. Recently, it was found that the growth in the number of brands posting video content on Instagram has outpaced growth in the number of brands posting photos (139% versus 91%). The average number of Instagram pictures posted per brand increased by 11%, while the average number of Instagram videos posted per brand grew 29%.

To read more, follow: http://www.business2community.com/instagram/4-instagram-tips-conquer-recent-shifts-digital-marketing-01459035#MFZ8abxaaPP5AZlf.97

In today's world, digital marketing is important for any business. But there are some measure that can be taken to maximize your business. Some precautionary measures that can be taken are as follows. Identify target audience and segment your marketing techniques accordingly.

1.       Digital marketing relies on “tactics” and “techniques” rather than on strategies and goals.

2.       Mobile search optimization and web app development is the most important parameter.

3.       SEO is the key method of success but not everything

4.       Figure out what your audience wants, identify where they are, and adopt a strategy to reach them.

5.       Use all available social media platform to reach your customer.

6.       Keep a close look on your followers and pay attention to their demands and satisfaction.

7.       Content marketing should form the core of any digital marketing strategy and link building.

8.       Manage a proper funding for digital marketing and should evaluate the real time results.

To know more, read: http://www.forbes.com/sites/neilpatel/2016/03/10/12-things-not-to-do-when-using-digital-marketing-in-2016/#68f176633ac2

Cover image courtesy: www.brickwin.com

Digital marketing needs continuous update. To sustain in this market, you need to channelize your business in complete digitalization. The main thing is to create an impression by launching an audio visual in the social networking site. Follow buzz marketing techniques to make it viral. Live streaming is the best way to gain market importance. With the rise of relationship marketing, there will be a rise in the cost of digital marketing. Marketing automation and virtual reality are the key process to enhance digital marketing. Moreover location search is gaining popularity than online presence.

To read, follow: http://www.forbes.com/sites/miketempleman/2016/03/08/your-guide-to-mobile-digital-marketing/#1de28212523c

With the increase in reports of urban women being abducted and assaulted, wearables are now also being designed for women's safety. The user of the device just has to click the device that is attached to the jewelry whenever she senses a threatening situation. The app will send an alert to the wearer's network. Family and friends will get the alert through the app on their phone. The App also has a GPS function through which you user can enter your location and time of your current destination and your family and friends can track your movement the entire time. To know more, please read the article by DNA WEB TEAM -: http://www.dnaindia.com/scitech/report-now-a-wearable-technology-for-safety-that-women-will-absolutely-love-2185044

Statistics is everything now days. We believe in numbers not in assumption. How digital marketing is so relevant these days and why can be answered by all these seven key statistical figures.

1. According to “Brandlive”, 44% out of 200 executives use live video streaming activities to generate leads. 25% of them has evidenced a progress.

2. The social network said 3 million businesses have now advertised on its platform, up from 2.5 million just six months ago. A year ago, Facebook had 2 million advertisers.

3. Internet connectivity in the smart phone section has increased by 200% in one year

4. BuzzFeed chief Jonah Peretti said the viral site now has 6 billion monthly content views, up from 100 million in 2012.

5. E reader market is streamline with fast pace of growth and apple finally joined the social media arena to increase brand salience

6. Lead generation techniques via digital media increased by 61%.

This all figures shows we are venturing into digital era.

To read, follow: To read, follow: http://www.adweek.com/news/technology/9-interesting-digital-marketing-stats-past-week-169993

Artificial intelligence is like machine learning. But they are completely different and some concepts related to it has to be cleared.

1. Artificial intelligence refers to a broad set of methods, algorithms and technologies that makes the software 'smart' that seem human-like to an outside observer.

2. Machine learning has some elementary engineering sensibility whereas artificial intelligence is more correlated to automation and sophisticated data handling.

3. Machine learning covers multiple technology, whereas AI is a process which only refers wide variety of algorithms and methodologies that enable software improvement.

4. Machine learning is more into deeper analysis, segmentation and networking in contrast to standalone operation of artificial intelligence

5. Cognitive understanding is more prominent in artificial intelligence because analytics and forecasting play a clinical role. So, accuracy in automation required cognitive learning.

To read, follow: www.cio.com/article/3040600/five-things-you-need-to-know-about-ai-cognitive-and-neural-and-deep-oh-my.html

Wearables are now more than a gadget. With the latest designs, it is becoming a fashionable accessory. Wearables with fashionable accessories in a range of sizes, styles and finishes, screens, leather, semi-precious stones and 18k gold is not for men now. Wearable production companies are now catering their product also to women, especially the working class. To know more, please read the article by Sophie Charara (Writer at Wearable) -: http://www.wareable.com/fashion/wearable-tech-fashion-style

Good Customer Relationship Management or CRM helps organizations to enhance client loyalty, improve collaboration, acquisition of important data and also improves customer experience. These benefits are possible only if it is implemented properly. To avoid CRM implementation, some tips must be followed. They are – Organizations must improve CRM training & practices; Integration of technologies with CRM; Data must be up-to-date; organizations must understand how CRM and social media can intersect; and CRM solutions must be kept in the cloud so that they are accessible from anywhere. Read more at: http://it.toolbox.com/blogs/insidecrm/5-tips-for-getting-the-most-out-of-crm-software-72749

Apache Arrow, a new open source project, is designed to provide high performance in-memory analytics across different systems. It eliminates cross system communication overhead cost and can improve performance 100 times. It is based on the code of Apache Drill. Developers from other Apache projects. It removes the burden of serialization and deserialization of data. It also supports complex data in addition to relational data. Read the complete article here: http://www.cio.com/article/3034279/big-data-gets-a-new-open-source-project-apache-arrow.html

Nowadays, manufacturers are using technology to monitor parts and operations in order to reduce expenses which includes analytics. The result is, a continuous streaming analytics engine that provides automated alerts on the forecasted failures identified by the predictive models. From here, companies can schedule planned maintenance with a high confidence level. Predictive monitoring is particularly suited for critical machinery which is complicated to maintain in terms of labor costs, or machinery with components that are expensive or difficult to obtain quickly. Spare parts and components can be reduced because needs are predicted weeks to months in advance. Read more at :http://www.designnews.com/author.asp?section_id=1386&doc_id=279921

EMR (electronic Medical Record) adoption, big data and other trends are helping a lot in the generation of data in the healthcare industry. But data is not what drives the healthcare industry- managing this data does. In healthcare, data analytics is done in use cases. Multiple use cases are created according to the need like one while patient got admitted in some department, a use case gets created. To provide best services to patients timely, immediate access to patient’s data without the barrier of time or location. Read the full article here: http://www.computerworld.com/article/3038315/data-analytics/accelerate-time-to-value-with-healthcare-discovery-analytics.html

The National Biotechnology Development Strategy 2015-20 plans to make India a world-class bio-manufacturing hub, with intent to launch big missions, creation of new biotech product and creating a strong infrastructure for R&D. The catalyst in this mission is harnessing the power of big data. IT and healthcare have always worked together. Big data and data analytics have helped a lot in cancer research, drug safety, genomics and clinical research. Big data helps in solving the complexities of healthcare that looked impossible to solve before. It helps in making sound decision within a short period of time and with cost effective measures. The error rates have also decreased enormously leading to a significant increase in efficiency. Read the full article here: http://tech.firstpost.com/news-analysis/national-dept-of-biotechnology-sees-big-data-propelling-it-to-100-bn-industry-by-2025-293213.html?utm_source=also_read

Artificial intelligence opened a new horizon to give reply to E-mail instantly. Reading long emails in a busy life is a tough. So an automated answering system can reply a mail by analyzing the tone of a particular mail. A particular word based sentiment analysis can be a useful tool to facilitate this process. Google has already started to offer 'robot email' AI in its Google Inbox online extension for Gmail. The new service is called the Smart Reply and it will help answer some of your emails for you. There are still some constraints. This automated system has some issues regarding long multi sentimental messages. These messages has to be replied manually. 

To read, follow: http://www.forbes.com/sites/adrianbridgwater/2016/02/18/can-artificial-intelligence-answer-our-email/#4e1fd3197bc2