Gartner claims that by 2020, the average person will have more conversations with bots than with their significant others. A startling prediction that indicates how entwined humans will become with technology.
The challenges behind visualization data in real-time are many, ranging from a lack of infrastructure to capture data, to static analytics tools, to managing the flow of data. Industry thought leaders tend to agree.
Naturally, those challenges have led to the rise of companies that fuel the ability to leverage real-time data, such as Alooma, which recently announced Alooma Live, an offering that gives users the technology for enhancing the creation of real-time data streams to cloud data warehouses, replacing slow, outdated batch uploads.
One only has to look at e-commerce examples, such as Amazon.com, to understand how much value real-time analytics can deliver.
Gartner goes on to predict that harnessing streaming data for real-time analytics will become more affordable and more accessible to businesses, thanks to architectural developments that can streamline the process.
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