It’s the holy grail of B2B marketing: Reaching prospective customers when they’re “in market” to buy a product or service. These days, this usually involves harnessing predictive analytics to locate the right customer at exactly the right time, then targeting them with the perfect message.
In June 2014 I presented “Cloud Trends,” a presentation on the state of the cloud computing industry at the Gigaom Structure conference. At that time I tried to show both the current state of the cloud computing ecosystem as well as provide my predictions for how the industry would evolve over the new few years. Now, a year later, I’m revisiting those points to see if they stand up to scrutiny. And as cloud computing continues to accelerate the pace of innovation, I also have a few new predictions to share.
There has been tremendous buzz around “Big Data” fueled by the exploding volume, variety and velocity of data from mobile devices and social networks on one hand, and the ability to crunch this data using high-density compute on the other hand. The impact of analyzing the data firehose could be very rewarding in many verticals. McKinsey estimates that over $300B in value can be extracted by the US healthcare system using big data, more than double the total annual healthcare spending of Spain, and $600B in consumer surplus can be potentially generated by using unstructured location data wisely. Read More
The UK-based insurer LV= (formerly Liverpool Victoria) was facing a technical challenge. A period of rapid growth, including numerous acquisitions, had swamped its IT department with legacy systems and a backlog of demand to support those systems. Saddled with maintenance tasks and struggling to rationalize its IT infrastructure, LV= was missing opportunities to develop innovative new products–and capitalize on all that exciting growth.
There has been plenty of hype over the last few months about the Apple Watch, the tech giant’s first big new product in five years and its first-ever wearable. But there’s been very little independent research so far about exactly how early adopters are using the device.