The discussion around deriving insight and value from Big Data & Analytics is perhaps, the single most discussed topic between business and technology leaders. Well executed data strategies use predictive and prescriptive analytics to reveal trends, identify anomalies, surface business opportunities and threats and forecast and/or prevent an event based on the historical trends.
By 2020 there will be billions of IOT connected devices and trillions of IOT invested dollars. The precise numbers don't really matter. Huge, mega-vendors like GE, Intel, Dell, IBM, Cisco, Microsoft, Amazon, and HP have announced massive investment and reorganization to realign themselves around IoT. We know the market is massive.
A deluge of data is coming
The blogosphere and media are replete with postings and articles about how the IoT/IoE will transform and automate everyday life. Lots of “someday my prince will come.” But, few real princes on white horses have yet to arrive.
So, instead of “IoE Fantasy Island,” our Decisyon Blog focuses on what is real, today. We’ll point you to transformations that are actually being implemented. And, how they might help you think through your company’s IoE strategy.
Today, Salesforce announced IoT Cloud, its shot at the IoT market. At its center is Thunder, a massively scalable, real-time event-processing engine. And, once again, it’s all about processing lots of data…. Just like every vendor trying to create IoT offerings.
But processing large amounts of data from smart devices, IT systems and web services is simply the start. It’s not a solution. It’s not enough to build a solution.
What’s missing? “Everything.”
This week we’re focused on the IoE in manufacturing. In Information, Intelligence, and The Internet Of Things Are Fundamental