Edge Computing And The Need To Sense And Respond


Back in 2013, I wrote about the critical need to Sense and Respond in a climate of uncertainty, interdependency, complexity, and velocity. In that post, I said this:

As our world experiences continued Acceleration and the amount of data flowing through company ecosystems expands, the need to sense stimuli and enable a real time response intensifies. Fortunately, rapid advancements in the price and performance of technology make realizing this sense and respond paradigm achievable and economical for a wide range of use cases – but this is arguably one of the most difficult components of transformation road maps.

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Moore’s Law


A recent article regarding Moore’s Law explores the winding down of a phenomenon that has impacted the world considerably since Gordon Moore, the founder of Intel, predicted that the number of components that could fit on a microchip would double every year. The article states that Moore’s Law has begun to reach its natural end, as efficiently manufacturing smaller transistors gets more difficult. Author Tom Hoggins projects that by the mid-2020s, the law will have plateaued completely as production costs increase and transistors reach their physical  limits.

The pictures I try to paint of our emerging future rely upon the continued expansion of our compute power and its synergistic relationship with energy. An example of a Virtuous Cycle in action, as advances in one area drive compelling reasons for advancement in the other. Realizing innovations’ potential to advance the human development envisioned by my Innovation Wheel relies on continued advancement in both areas. As the author states, Moore’s Law has in some ways eliminated the need for creativity in both design and manufacturing. As it comes to an end, a new era of creativity is likely to bridge the gap between the wind-down and a new computing paradigm such as quantum computing.

We already see creativity in advancements such as neural network processors that support the processing needs of AI solutions. The author strikes a positive tone, as he sees new approaches emerging to both software and processor architecture. The opportunity for innovators and investors is very large.