According to authors, AI and Machine Learning algorithms, introduces us to an era of intelligent conversational environments , by  bringing about a paradigm shift in technologies and strategies ,thereby collaborating the rate of progress in business and process for automation, thus making an enterprise more smarter ,flexible and conversational. AI mainly focuses on making support systems more efficient across a multitude of applications, processes and business domains, bringing about intelligent collaboration capabilities to the emerging Conversational Workspace platforms, improving workflows, automating repetitive tasks and initiating automated interactions via voice assistance ,thereby, helping an organization to take better decisions and grow. Read more at https://aitrends.com/speech-recognition/idg-contributor-network-the-growing-impact-of-artificial-intelligence-on-workplace-collaboration/

In recent times, innovation of machine learning and artificial intelligence has changed the paradigm of the tech world. Some trends prominent in the development of machine learning are: (i). Big companies are developing machine learning based artificial intelligence systems and it will continue to grow, (ii). Along with data, with the development of machine learning, algorithm economy is expected to develop more, which will distinguish small business from the large ones, (iii). Interaction between machine and humans is expected to increase. In conclusion, machine learning and artificial intelligence is expected to grow but humans can’t be completely replaced right now. Read more at: http://www.datasciencecentral.com/profiles/blogs/trends-shaping-machine-learning-in-2017

Machine learning is a method of data analysis that automates analytical model building. Using algorithms that iteratively learn from data, machine learning allows computers to find hidden insights without being explicitly programmed where to look.

Machine Learning algorithms are classified as –
1) Supervised Machine Learning Algorithms
2) Unsupervised Machine Learning Algorithms
3) Reinforcement Machine Learning Algorithms

Top 10 Machine Learning Algorithms --

1)    Naïve Bayes Classifier Algorithm
2)    K Means Clustering Algorithm
3)    Support Vector Machine Algorithm
4)    Apriori Algorithm
5)    Linear Regression
6)    Logistic Regression
7)    Artificial Neural Networks
8)    Random Forests
9)    Decision Trees
10)  Nearest Neighbours

To know more: https://www.dezyre.com/article/top-10-machine-learning-algorithms/202

Earlier we have seen that CRM required manual input to fill in notes from sales activities and collect information about prospect behavior. But, nowadays, this is done with the help of technology and machine learning is one such technology. Machine learning is helping sales teams to fill in the notes. But, first we must know what machine learning is. It refers to a computerized data analysis where algorithms learn from new information and quickly decide what the next best action is. Web search results, credit scoring and email spam filtering are powered by machine learning algorithms nowadays. Such technologies are extending to CRM also. To know more, follow: http://it.toolbox.com/blogs/insidecrm/machine-learning-your-way-to-better-crm-69781