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/

Interactive data analysis is very important so as to avoid making wrong mindless conclusions about given data. Firstly, it saves one from wrongly reporting values which are not statistically possible. IDA is also required for the development of new technology. Data analytics is also useful in fields like biomedical research. But IDA and data analysis workflows are not fully appreciated by decision makers, although implementing workflows when they are not matured enough can have negative effects. For developing rigorous tools IDA is very important, it is needed to assure that the process is performing well and as expected. Read more at: https://simplystatistics.org/2017/04/03/interactive-data-analysis/