Balancing Macro and Micro Innovation to Drive Business Success

Everyone recognizes the transformative impact of great innovators like Steve Jobs, the former Apple CEO who drove the development of game-changing products like the iPhone and the iPod. These products are clear examples of macro innovation: groundbreaking inventions that created entirely new product categories, fueled extraordinary business growth and changed the way we live. Many of today’s most successful companies were originally founded on such macro innovation. But sustaining business success over time generally also requires another kind of innovation, often known as micro innovation: smaller, incremental improvements that enable the company to stay abreast of technology trends and respond to customer needs.  

To flourish over the long term, therefore, companies need a balance of both macro- and micro- innovation, which means they need to create a work environment in which both types of innovation can occur. However, most companies fail to achieve that balance: they limit their potential by focusing on either micro innovation or macro innovation, but not both.

Autonomous Cars, Big Data, and Edge Computing: What You Need to Know

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The driverless car has been a high-tech dream for decades. Now that broadband connectivity, cloud computing, and artificial intelligence are increasingly available, autonomous cars should go mainstream in the near future, provided certain technical and regulatory milestones are reached. But another issue that must be addressed before self-driving cars can reach critical mass is the issue of data. Specifically, the data analysis and storage requirements of autonomous cars present challenges beyond the capabilities of most current big data solutions.