According to IBM, 2.5 exabytes of data are generated each day. Every click, like, share and mention generates unlabeled data that can’t be dealt with by traditional statistics. Harnessing this data to deliver personalized user experiences can translate into billions of dollars of incremental revenue: This is the province and promise of deep neural networks (DNNs).
Computerization, the Internet and automation ushered in Industry 3.0, revolutionizing the way we work. Now there’s IoT, cloud computing, 3D printing, autonomous vehicles, mobile, social and Big Data. Welcome, Industry 4.0. In the not-to-distant future supply chain planners will sit in control rooms with a real-time view of inventory at all nodes of the supply chain.
Before a potential customer books a trip, applies for a loan or rents a car, he or she may be exposed to 10 or more touchpoints from a brand. How does the marketer know which ads are most effective? What are the synergies driving conversions? How does the effectiveness of marketing spend across multiple channels change over time?
Undoubtedly, “blockchain” is one of the key technology buzzwords of 2017. While there is still considerable hype around this topic, we’re starting to see real projects using blockchain, and real value emerging in certain markets. In this blog, I’ll look at several recent examples that highlight the drive for innovation behind blockchain’s adoption—but first, let’s cover some definitions.
What is a reasonable forecast accuracy for my business?” I get asked that question all the time. People generally understand that forecasts cannot be 100% accurate, but they’re seeking that elusive magic number that represents a good forecast—is it 90%, 85%, 80%? The truth is that a single number cannot describe the quality of the forecast for every situation. The example that I like to use is predicting the number of days in a given week versus predicting the total rainfall in a given week.
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