Artificial Intelligence is a super set of Machine Learning..
Machine Learning is a super set of Deep Learning
So what exactly is Deep Learning..
Imagine for a day, you are an IT Governance auditor, and you visit a company and find a group of managers explaining you all the processes being followed and so on.
A small glitch! One of the manager has spelled out that they had a system crash just few days back…
Common Sense intelligence is checking if the company has incident and problem management process in place
Artificial Intelligence is identifying intelligently if existing incident logs are analyzed and AI tool pin points the problem or root cause analysis of incident
Machine learning tools which have NLP capabilities (Natural language processing) are used to identify various data elements within the incident log. However for arriving at an appropriate cause, deeper analysis of data is needed. The taxonomy dictionary which needs to be built is most cumbersome. Have seen multiple companies struggle towards getting real value of inferences. Reasoṇs: The statisticians are experts in drawing inferences, however we need very strong management principles adapted to correlate those inferences with actual grasp and insight of company issues and arrive at identifying core problem from collection of incident records.
With nearly 2 decades or even more, studying government, NGO, rural, urban data and then those machine data (Engine/Automation plants and so on), I feel the data science buzz should really be understood by more and more CIOs /CXOs and even before venturing into data, it would make sense if the core process functions be strengthened. As without basic data capture in place, the real value of data science will not reach the senior management team of large organizations.
The present data science hype is more focused only on social media data and enterprise data analytic tools are available in plenty.. however they are way too costly.
If someone just gets a trend graph from a data set, or a cloud coming out of all set of words or terms and if we assume we know Data Science, there is something missing.
Science is all about understanding the theories well and Engineering is all about using appropriate methods and tools emerging out of various science disciple in practical industrial and social problems in form of building products.
Data Scientist Skills needs a combination of statistician, management, process and programming know how to build predictive models to benefit organization.
Are we geared up at enterprise level, to execute data science projects’
I help organizations in drawing data governance road map, identifying data security elements and subsequently also chalk out an Artificial Intelligence application on those data sets. Would wish to hear experiences from whole lot of CXO/CIOs/Data Scientists / Management consultants on their approach towards such implementations.