E-Commerce firms very well understand that data is a wealth. The data can provide very crucial and meaningful insights, if used properly. Data Mining is one such way. It is a field of computer science that discovers the patterns in large data sets. This is done using the methods of Artificial Intelligence, Machine Learning, Statistics and Database Systems. Algorithms are made to act on the data set. This often reveals "game changing" results for the industry. Data Mining can be either done manually or can be automated. E-Commerce Firms use this to get to know more about customer's emotions, preferences, and other factors that impact their purchasing style. So they excel in offering a personalized experience through this. It doesn't stay limited to customers. Data Mining is done to keep an eye on the competitors. Read more about it in the article written by Arie Shpanya (contributor to Econsultancy) at: https://econsultancy.com/blog/67360-why-data-mining-is-the-future-of-online-retailing/
Friday, 29 January 2016
Wednesday, 27 January 2016
Before we start discussing about Tools for Social Media Analysis, first of all we have to know what social media analytics is? Instead of thinking it as a noun, take it as a verb. Precisely, it's gathering data from social platforms to help guide marketing strategy.
# the process begins with the prioritizing goals.
# The second step is determining key performance indicators (KPIs) i.e. likes and shares your posts receives, replies and comments, and more importantly the clicks your links and content earn analysis. Now, as the definition is clear, we will directly come to the social media analytics tools. To read more, follow: https://keyhole.co/blog/list-of-the-top-25-social-media-analytics-tools/
Monday, 25 January 2016
We've been thinking about the Internet of Things all wrong. According to various predictions by various companies, there were various statements specifying volume and amount of money, number of connections. These are just numbers, Numbers, more numbers. If we believe in the predictions, there is no way that current analytical solutions can manage that level of information. In the immediate future artificial intelligence capabilities are required. Which means all companies who have an analytics platform play will have to invest in A.I. research, acquire and finally emerge with solutions based on methods beyond machine learning. Or risk being left behind. If this sounds vaguely familiar, it's because right now all efforts are pointing towards machine learning and algorithms as the goal for analytics. To read more visit on: http://www.forbes.com/sites/theopriestley/2015/12/08/a-series-of-unfortunate-tech-predictions-artificial-intelligence-and-iot-are-inseparable/#39f25ec8523a1253d985523a
Friday, 22 January 2016
The Internet of Things (IoT) is impacting on consumers’ lives and corporate business models. It is increasing at the rapid rate and by 2020, more than half of the major new process will incorporate some element of the IoT. IoT is basically connecting device with an on and off switch to the internet. By 2020, a black market exceeding $5 billion would exist to sell fake sensor and video data for enabling criminal activity and protecting personal privacy. To address this compromises in IoT security will have increased security costs to 20% of annual security budgets. To read more visit on: : http://tech.firstpost.com/news-analysis/by-2020-more-than-half-of-new-business-processes-will-incorporate-some-element-of-iot-says-gartner-295467.html
Wednesday, 20 January 2016
We all are aware of the revolution brought by the cloud computing in today's business functionality. The management and storage of big data in cloud is well known to everyone. One of the best outcomes of cloud based solutions is the Hosted VoIP technology which is changing the way we communicate. On an average, 7 out of 10 telecom customers still do not understand what Hosted VoIP is. In short, VoIP is the concept of using the internet and cloud based servers to place calls instead of using traditional PBX boxes and phone cables. The same concept applies to telecoms solutions built on a larger scale. Irrespective of the type of business Hosted VoIP is beneficial to all. To read more about Hosted VoIP visit at: http://www.smartdatacollective.com/josh-rose/367715/72-people-aren-t-familiar-hosted-voip
Monday, 18 January 2016
Firms often spend a huge amount of money on display marketing. But as a consumer, do you remember at all the last display ad you saw. The answer is NO. Display Marketing can be very effective if targeted. It is important to know which item should be placed on which site and what part of the site. Most vendors don't go into details of the strategy, thus shelling out more money out of those interested in display marketing. Algorithmic attributions can be used to determine how the impressions will impact the ROI. Learn more about it in the article written by Sandy Martin (Sr. Business Consultant)at : http://blogs.adobe.com/digitalmarketing/analytics/how-to-get-more-from-display-marketing-with-analytics/
Friday, 15 January 2016
Cybersecurity is a very important and is becoming one of the biggest worries for companies. According to various surveys, companies are investing a lot of money in cyber security and training their employees in it. It is estimated that till 2020 investment in the cybersecurity will be around $170 billion. In today’s world as the data is rising, so the risks on it are also increasing. The pattern classification systems that machine-learning algorithm rely on themselves exhibit vulnerabilities that can be exploited by hackers. As we know machine learning algorithms train themselves with the training data set so it may be manipulated according to the needs as hacker wants. For example, Search-engine-optimization algorithm was trained and manipulate website content to boost results in the search ranking or senders of junk emails try to fool spam-filtering algorithm. Even the results of the public election can also be affected by 20% or more as it is found that the order in which candidates appear in search results can have significant impact on perception. To read more about Cybersecurity risks, follow the article by Dr. Kira Radinsky (CTO and Co-founder of SalesPredict) at: http://blog.kiraradinsky.com/author/kiraradinsky/
Wednesday, 13 January 2016
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.
Monday, 11 January 2016
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 superset 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 autocomplete 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/
Friday, 8 January 2016
If we talk about recent past, machine learning was only used by few who understood the algorithms and had access to very huge amount of data on which to employ it. But with the evolution of big data technology becoming a commodity and algorithms easier to use, machine learning has moved out from the hands of few to the hands of the citizen developers and regular users. Four key steps taken in 2015 for the development of the machine learning are: -
# learning became easier to use.
#Everyone and their brother released a machine learning library or toolkit.
#Big data to feed machine learning also became cheaper and easier.
#The label “machine learning” was applied to way too many items.
To know more about Data science skills follow the article written by Serdar Yegulalp(author) at: - http://www.infoworld.com/article/3017250/application-development/4-great-leaps-machine-learning-made-in-2015.html
Thursday, 7 January 2016
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
Wednesday, 6 January 2016
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
Tuesday, 5 January 2016
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/