When we talk about Artificial intelligence, we always come across the question,' will there ever be possible that machine replaces humans and preforming better than us?' The answer is partially 'yes', as at least in many things machines are performing as unchallenged champions of creativity and intelligence. Areas where artificial intelligence already performing better than humans are.

• Search the web quicker. Machine learning AI helps in web engine optimization through understanding the meaning of words and phrases, and can therefore guess what should be in the page ranking in never seen before searches.
• Work in deadly environments. Robots can survive in conditions where humans can’t like deep space, the oceans penthouse, or inside a radioactive reactor.
• Get a PhD quickly. Few critics of AI argue that machines could never be creative, or curious, or discover anything of significance, but team at Tufts have proved the naysayers wrong.
• Deliver a correct medical diagnosis.
• Translate in many languages.

Read more at: http://www.huffingtonpost.com/george-zarkadakis/5-things-ai-can-do-better_b_8906570.html?utm_hp_ref=technology&ir=Technology

Why to go far? If we see in our recent past artificial intelligence and machine learning were very exciting and dream topics among engineers and developers. But now machine learning has emerged as the ideal branch of big data and working as oxygen to concepts like artificial intelligence. Year 2015, was a year of massive market shifts. Machine learning (ML) and its super set artificial intelligence (AI) where computer receives new information and learn without supervision have played very important and revolutionary role for the shift. Still Machine Learning has much more in the store. Year 2016 is going be a big year for machine learning. Usually, computers have been used to enhance the ability to carry out tasks. Users see this with features like auto completion and spell check. In the upcoming year these leaps are likely to be made on three fronts: natural language processing, personalization, and security.  To know more about machine learning follow the article written by Motti Nisani(author) at: - http://www.geektime.com/2015/12/27/2015s-big-leap-into-machine-learning/

Those using Predictive Analytics easily outpace those who don't. There is a clear incremental sales lift in the marketing campaigns which consider predictive analytics. Every organization strives to achieve a higher return on investment (ROI) from that spend on marketing. Predictive analytics help creation of unique customer profiles by analyzing the data.  Read more about how Predictive Analytics can be useful in B2B marketing in the article written by Laura at: http://blogs.forrester.com/laura_ramos/15-07-02-the_power_to_predict_can_give_b2b_marketers_an_unfair_advantage

Cloud was an unknown term to almost all small and medium businesses (SMB) 4 years back but now nearly half of the SMBs have adopted cloud. There are many factors behind it. The first is ability to access to data stored on cloud with mobile devices and mobility is very important in today’s world. Second factor is backup and recovery adequacy of cloud which is a cheaper option than buying and maintaining a backup system. Another reason why cloud is an attractive option is that standardization leads to improved data security. With cloud gaining immense popularity in the future any SMB not using it would be a rare site similar to a person not using smart phone in current era! Read more at: http://www.business2community.com/cloud-computing/rise-cloud-small-medium-business-market-01418782#ORT38DDsW5VFwVHp.97

Security is an important aspect in any organization. In case of a security breach, company suffers a loss of trust in addition to money. For security, organizations are storing terabytes of data and with big data analytics security has become a nimble and deterrent strategy. It rapidly spots a suspicious pattern. In enterprise security, a small anomaly can be of great importance. Security breach occurs via an unimportant channel in a long period of time. If the organization has right tools, then only it can detect a hacker’s actions in time. With big data analytics data at rest and real time activity can be monitored with ease and organizations can be safeguarded in better way. Read more at: http://www.forbes.com/sites/centurylink/2015/11/23/improving-data-security-through-big-data-analytics-2/

Even at the time of hiring, workforce analysis influences from starting i.e. creation of a job description and worker roles, till the recruitment of the person with better chances to succeed in the organization. Through the analysis, companies can make better hiring choices and monitoring the performance in real time. This will help companies to refine their organizational structure and develop talent and leadership within the organization. Workforce analysis will also help in reducing legal claims issues. These all will contribute in cost reduction and smooth working of the organization. Read more at: http://www.smartdatacollective.com/sarah-smith/358073/control-business-costs-workforce-analytics

Clickstream is recording of the parts of the screen of a computer user clicks on while web browsing or using another software application. Clickstream Analysis refers to collecting, analyzing, and reporting the data about visitors visit. This is generated by recording the succession of clicks each visitor makes. This helps you to get insights of the behaviour of the visitors. Hence, you can manouver your strategies as per this analysis. It gives you the information of how long a visitor stayed on your website and how often he returns.  This gives a wealth of information to be analyzed.  To know more about clickstream data analysis go through the article written by Jaoa  Correia at: http://www.blastam.com/blog/index.php/2015/04/move-into-limitless-world-of-clickstream-data-analysis

As the field of Data Science is growing, the confusion regarding the skills needed to be a data scientist is also increasing. Most of us think data science skills range from computer science and statistics, to machine learning and strong communication. But, the top data science skills list includes data analysis at the top, followed by others like R, Python and machine learning. As per recruiter lists, R, Python, SQL, SAS and Hadoop are appreciated. To know more about data science skills, follow the article written by Daniel Levine (Content Marketer for RJMetrics) at: http://www.smartdatacollective.com/daniellevine/366486/top-20-data-science-skills

We all have bid our goodbyes to 2015, and as we begin to focus on 2016, there are many accelerating business intelligence trends that must be kept in mind. Business Intelligence continues to be one of the fastest developing areas in 2016. The craving for more advanced and affordable business intelligence tools and techniques is increasing each day. More and more people have begun to realize the world of data and are using it to get some meaningful insights. Read more about top business intelligence trends of 2016 at:http://bigdataanalyticsnews.com/10-business-intelligence-trends-for-2016/

Customer database stores information about your clients which helps to retrieve the information easily. When you convert to Customer Relationship Management (CRM) software, it will take the database to a new level. CRM software offers a range of capabilities designed to manage customer data and interaction, and to automate sales, marketing, and customer support. This article explains some of the things CRM systems can do for you. Read more at:  http://it.toolbox.com/blogs/insidecrm/teach-your-client-database-to-think-with-crm-70912

Datafication is a process that captures almost every aspect of the world as data. With datafication, interactions can be quantified easily with the help of big data analytics. Data is generated for almost everything ranging from temperature readings to social media. This data is useful for analyzing patterns and making predictions about the future. These predictions not only improve business efficiency and finances, but also boosts customer experience and improve relations with the customer. Big data's tools' ability to extricate insights from the collected data have led to a new information revolution of sorts. Universal applicability is another exciting opportunity in this field. The future of retail commerce seems brighter now as datafication is here to stay. Read more at:http://insights.mastercard.com/2015/07/06/datafication-the-new-buzzword-for-business/

CRM is successful when it is implemented properly. But, sometimes it is not implemented properly. So, some companies fail in utilizing CRM properly. The main cause of failure is the misconception about CRM and how it works. Rick Cook (author of articles on computer & related technology), writes in his article about some common misconceptions that lead to failure. Read more at: http://it.toolbox.com/blogs/insidecrm/why-some-companies-fail-at-crm-and-how-not-to-be-one-of-them-70886

This New Year, let's look back at the marketing experiences throughout 2015. We have learned that the fundamental concept of digital marketing is unaltered, no matter which industry we target. But, it teaches us to adapt to changing habits and practices of customers. Here are 3 digital marketing truths you should keep in mind - 1) to grow our presence across different channels, mobile is the only channel that has grown so rapidly. 2) Removing barriers across different channels so that your customer is able to communicate better. According to customers different preferences it's necessary to use data management platforms for organizing information. 3) Use of automation to use right content at the right time. Read more at: http://www.business2community.com/digital-marketing/top-3-digital-marketing-truths-take-away-2015-01413555#Cll3tXd2oAKuqhgF.97

The business environment is highly competitive and one needs to excel in every sphere of business. Excellence is not just a goal, but, it is a process or a series of process which aims to produce specific outcomes and is achieved by consistently applying these processes on one customer at a time. Read more about some of the components that allow you to achieve excellence at: http://it.toolbox.com/blogs/insidecrm/excellence-in-crm-70887

Leads are important for any business and not all leads have equal importance. A good lead scoring system lets you rank your prospects by readiness to take action. This will help in deciding to prioritize leads. Lead scoring is a method and the important thing is to have the right information and applying the right method to that information. CRM helps to identify and score potential customers by organizing the information about each of them so that you can successfully apply your chosen methodology. Read more about developing a successful lead scoring process at: http://it.toolbox.com/blogs/insidecrm/lead-scoring-with-crm-70888

CRM must be well planned according to your business needs. Organizations must define your needs, what you need to do and how CRM can help you. After you decided what is good for your organization, you can pick and choose among the features of your chosen CRM system to decide which ones can help you the most. Process planning is important for the success of CRM implementation and business. Read more about CRM planning at: http://it.toolbox.com/blogs/insidecrm/crm-planning-70889

A CRM to be successful must be built on four pillars. They are - People, strategy, processes and technology. CRM program to be successful must consider each of these elements with equal weighting and this in turn will help in increasing business. Read more at: http://it.toolbox.com/blogs/insidecrm/the-four-pillars-of-crm-70890

Primary activities of any oil and gas company generate large amount of data. This is developing heightened demand for big data and services in this sector. The market ofr such solutions is expected to grow by $3.99billion to $5.41billion in 2020.  Big data analytics could help in reducing time lag, and improving drilling parameters in identifying any traces in seismic signatures derived from geological and operational data. Employing data analytics can also help detect any abnormalities in drilling and could save millions in labor and equipment costs. Recovery and production can be enhanced by applied analytics seismic and drilling data. One of the major challenges faced by large companies is lack of skilled labor which can be solved with knowledge management using big data. Recent Paris Agreement has created unprecedented opportunity for countries for decreasing temperature less than two degrees celcius above pre-industrial time which encourages oil companies to improve operational performance and efficiency. Read more at: http://www.technavio.com/blog/how-oil-and-gas-using-big-data-better-operations

Nowadays, Marketers are re-examining the role of TV advertisement in digital age for making budget modification, as very few are tuning in TV to watch your ads. The number of Youtube viewers are increasing marketers are blending it and new viewing trends to learn new ways of drawing customers. The first driver of Youtube visitors is it  variety of content such are mash-up of memorable events, movies trailers etc. This has lead many personalities to entertain online which are rather becoming more famous among viewers according to a survey. Secondly, Youtube is gaining respect in media industry as it garners credibility to views as reach metrics Third drivers has to be the cord- cutting movement as people are purchasing digital programs instead of cable or satellite which offers them the flexibility of when and what to watch along with engaging in their other important business simultaneously. Moreover, these viewers preference offers analytics opportunities to understand the changing trends in peoples preferences. Read more at :- http://www.cmswire.com/digital-experience/are-you-really-reaching-customers-with-tv-ads/

Large companies are collecting big data every minute. The need for new data base analyst and system programmers is increasing having specialised skills and in depth knowledge. Their roles include 1) management of databases and their recovery readily measured and monitored against disaster. 2) Implementation of self-realising and self-tuning processes. 3)SQL and database performance tuning. 4) Database logs and error management. Many of these roles are unnecessary due to high speed of big data analyst solution. Similarly, database performance tuning has become redundant as it lacks internal performance tuning resulting of no need of specialist in new enterprise environment. The task of specialist involves, 1) System and network performance tuning along with software installation and migration. 2) They be the leading technical specialist for critical application assisting data architecture changes. 3) Set the performance benchmark for prospective vendor tools. This infers that less and less specialist will be required in the coming phases when the role of generalist can be easily done by supplementary staff. Read more at:  http://it.toolbox.com/blogs/database-administration/big-data-technologists-transition-to-customerfacing-roles-the-current-team-70675