TechnoPolitics Podcast: Has Apple Run Out Of Mobile Innovations?

Apple ignited the smartphone market with the innovative, super-desirable iPhone. But is the company’s innovation engine starting to sputter? That’s the question I pose to Forrester mobile analysts Jeffrey Hammond and Michael Facemire in this episode of TechnoPolitics. Of course, the answer isn’t so simple. Apple’s ultimate challenge is not about tit-for-tat feature innovation. Jeffrey Hammond says that this is a battle between two fundamentally different innovation models: directed innovation and open innovation. Apple is the high church of directed innovation, whereas Google’s approach is to let a thousand flowers bloom. Both mobile platforms have been enormously successful. But Michael Facemire thinks that conditions are ripe for the open innovation model to dominate. Jeffrey and Michael have amazing insights that you can only get at TechnoPolitics.  

Podcast: Has Apple Run Out Of iPhone Innovations?

 

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Big Data Predictions For 2013

William Shakespeare wrote that “What’s past is prologue.” Big data surely builds on our rich past of using data to understand our world, our customers, and ourselves. Now the world is flush and getting flusher in big data from cloud, mobile, and the Internet of things. What does it mean for enterprises? In a word: opportunity. Firms have taken to big data. Here are my four predictions for key enterprise big data themes in 2013:

  1. Firms will realize that “big data” means all of their data. Big data is the frontier of a firm’s ability to store, process, and access (SPA) all of the data it needs to operate effectively, make decisions, reduce risks, and create better customer experiences. The key word in the definition of big data is frontier. Many think that big data is only about data stored in Hadoop. Not true. Big data is not defined by how it is stored. It can and will continue to reside in all kinds of data architectures, including enterprise data warehouses, application databases, file systems, cloud storage, Hadoop, and others. By the way, some predict the end of the data warehouse — but that’s nonsense. If anything, all forms of data technology will evolve and be necessary to handle the frontier of big data. In 2013, all data is big data.
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