Big Data Solutions for Natural Sustainability
The world population is estimated to reach 9 billion by 2050 and is expected to put a tremendous pressure on the resources like food, water, air and travel. Global warming is likely to increase the earth temperature by another 2-3 degree Celsius by 2050 which is sufficient to upset the natural balance. From Analytics stand point, there are two broad categories of Sustainability problems. First category belongs to predictive modeling and second category of problems belong to optimization. Read below on how Big Data can be useful to solve Natural Sustainability challenges.
The world population is estimated to reach 9 billion by 2050 and is expected to put a tremendous pressure on the resources like food, water, air and travel. Global warming is likely to increase the earth temperature by another 2-3 degree Celsius by 2050 which is sufficient to upset the natural balance. From Analytics stand point, there are two broad categories of Sustainability problems. First category belongs to predictive modeling and second category of problems belong to optimization. Read below on how Big Data can be useful to solve Natural Sustainability challenges.
| Big Data For Natural Sustainability.pdf |
Readiness for the Big Data Analytics
Big Data analytics sounds alluring and promises some significant benefits to your business. You are planning to undertake the journey and now perplexed. The journey looks daunting and intimidating at the least. What should be your approach and how can you be prepared to face the challenges and make this journey more fruitful. Read below on the readiness for the journey of Big Data Analytics.
Big Data analytics sounds alluring and promises some significant benefits to your business. You are planning to undertake the journey and now perplexed. The journey looks daunting and intimidating at the least. What should be your approach and how can you be prepared to face the challenges and make this journey more fruitful. Read below on the readiness for the journey of Big Data Analytics.
| Readiness For The Big Data Analytics.pdf |