Summary: There have been several stories over the last several months around the theme that AI is about to hit a wall. That the rapid improvements we’ve experienced and the benefits we’ve accrued can’t continue at the current pace. It’s worth taking a look at these arguments to see if we should be adjusting our plans and expectations.
Note: This blog was written by Dr. John Elder and was originally published on www.elderresearch.com/blog.
Elder Research has solved many challenging and previously unsolved technical problems in a wide variety of fields for…Continue
Added by Paul Derstine on July 30, 2019 at 9:30am — No Comments
To understand how skills in actuarial science can be applied to investment banking we need to understand what actuarial science deals with.
So what is actuarial science?
Actuarial science can be defined as the application of mathematical skills to social science to solve important issues. Most of the time the actuaries use statistics to solve the issues by reducing risks in the insurance industry, government, business and in academic research. Actuaries use…Continue
A recent Wikibon report found that enterprises are struggling to derive maximum value from Big Data. While they expect a return of around $3.50 on the dollar, their return to-date is just $0.55. So what stops the business from deriving value from analytics? Based on my extensive…Continue
Added by Bhavani Raskutti on August 2, 2015 at 4:57pm — No Comments
Try introducing yourself as a Competitive Intelligence or CI analyst. Chances are that the reactions will range from (a) That's what you do all day, Google search? to (b) Identifying 007 ways to look at competition, Corporate Bond?
Of course, one can always resort to the classical definition of CI. It is defined as the action of defining, gathering, analyzing,and distributing intelligence about products, customers,…Continue
In this article we perform analytics on a huge dataset available from https://www.pwcmoneytree.com. PWC Money tree provides 20 years of Venture capital investment data from 1995 onward. Having data that goes far into the history should give us enough to extract the necessary analytical juice out of it.
The year 2000 was…Continue
Added by Nilesh Jethwa on January 14, 2015 at 9:46am — No Comments
Post Adapted from Top 10 Big Data and Analytics References
Price is what you pay, value is what you get
- Warren Buffett
Between rising Data…Continue