Barriers and Challenges– There is no doubt in the fact that data science has really influenced everything we do these days. From technology to automation, everything is due to data science. But there are some challenges, problems that are faced by data science which were supposed to be […]
Data science is neither magic nor rocket science, it does not create or invent any new information or facts. Data science helps us to make some sense of what’s already in front of us hidden in our data. Machine learning and its algorithms are either supervised or unsupervised as of today but the future really lies in reinforcement learning.
How AI and ML are now changing the work style and methodologies of marketing. Digital marketing cannot be run as just a computerised version of the traditional market or print media.
Another problem learners encounter or build wrong perception at beginning of learning stage is type of regressions. Often learners struggle to differentiate between the only regression method and the most useful or popular recession algorithms
There are certain market dynamics which determine the growth of the data and its related analytics. Thats where Data Intelligence’s adaptive dynamics comes into play to assess the factors driving organisation to adapt their existing, profitable lines of business. This help them stay relevant in the future of the rapidly evolving world and enormous helper for Blue Ocean shift strategy.