Big Data & Data Analytics: What's in Store?
It’s time to take a look at the state of Big Data (BD) and data analytics (DA) for 2016. In 2015, According to a Capgemini survey, only 27% of those surveyed indicated that their BD deployments were successful. So how are BD and DA looking now that 2015 is behind us?
IDC forecasts that BD will grow at a compound rate of 26.4% annually to over $41 billion through 2018. That is about six times the growth rate of the overall information technology market. One can only hope that the success rate improves over 2015 levels.
To achieve this level of growth, there are some changes on the horizon…at least, that is how Lionel Gibbons sees it in his January 2016 post “3 Big Data Trends to Watch in 2016.” Gibbons sees growth in three areas:
- Quantum Computing: Big Data and sophisticated data analytics need lots of horsepower, and quantum computing is just what the doctor ordered. Until now, very few organizations could afford the cost associated with quantum computing resources. But with cloud computing, even midsized companies can gain access to these resources; almost like the old days of buying time on a mainframe, except this time it lives in the cloud.
- Artificial Intelligence: While true AI is a ways off, the sophistication of machines to learn via heuristics
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