3 Stages of Creating Smart

#artificialintelligence 

I wanted to include a case study in this blog, but my advisors said that at 6 pages, this blog was already too long. So that case study will have to wait until my next blog, and heck, that even gives me a chance to assign homework then! Organizations are facing a business model disruption like they have never experienced before, fueled by rapid advances in sensor technologies, an out of control avalanche of sensor data and the rapid democratization of advanced machine learning, deep learning and artificial intelligence capabilities. These are truly "weapons of business model mass destruction". Unfortunately, organization's IOT strategy looks like a giant game of'Twister' with random, uncoordinated investments in architecture, technology, data, analytics and governance (see the blog "Avoiding the IOT'Twister' Business Strategy" for more on this giant game of IoT'Twister'). To avoid the IoT'Twister' game and avoid becoming a victim of these "weapons of business model mass destruction", one needs a coherent, coordinated plan for identifying the sources of customer and market value creation and capturing those sources of value. And more and more, those sources of customer and market value creation will be delivered via smart product and spaces that leverage these IoT and advanced analytic capabilities to create products and environments that self-monitor, self-diagnose, self-cure and continuously learn across every step in the process.

Duplicate Docs Excel Report

Title
None found

Similar Docs  Excel Report  more

TitleSimilaritySource
None found