Over a decade ago, High frequency trading (HFT) used to be part of very few financial firms, but now it is an integral part of every major financial firm and is key to drive the success of these firms. Many industry experts in the field are of an opinion that big data has started entering into the financial sector at a minute level for now and it will follow the same trend like the HFT in expanding into ever major company. It will be the major decisive factor in taking many calls in near future. On the technical level, many experts feel Machine Learning (ML) will take a dominating role in areas where Statistical techniques are now used for finance and risk management. ML with its ever increasing algorithms/techniques is an ideal replacement to humans in trading scenario, though it has its own caveats. It is seen that ML and Big data is going to lead a new revolution into the field of Finance. To read more: 

http://www.automatedtrader.net/headlines/153852/gdtrm15-machine-learning-is-the-new-c%2B%2B

The success of a company is vested on its employees. It’s the employees who ensure that resources of the company are utilized to their full potential. But at times it becomes difficult to identify the best members of the staff. Workforce analytics comes into play here. Workforce analytics enables organizations to get a complete picture of their workforce and identify ways to improve it. It allows organizations to identify and retain their most important staff. Workforce analytics involves analyzing large sets of employee data to find correlations and patterns. Statistical techniques like tests of significance, factor analysis and multivariate analysis are applied and charts are produced to bring together all information available about a team. HR department can then leverage these insights to achieve high retention rates. Read more at: https://channels.theinnovationenterprise.com/articles/workforce-analytics-are-you-retaining-your-highest-performers