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Storing, managing, and accessing data affordably and reliably is the ultimate competitive advantage.
The Bottomless Cloud challenges the scarcity-driven mindset by taking a hard look at how industrial age business models are failing us by regarding data as a commodity and a cost that needs to be constrained, rather than a near infinite resource that can be mined to build entirely new sources of value and insight.
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On the heels of his Amazon best-selling book Revealing The Invisible, about the AI revolution, 11 time author Tom Koulopoulos teamed up with his long-time colleague and serial entrepreneur David Friend to provide business leaders with a clear and straightforward understanding of how the incredible power of the cloud and data abundance will fuel the next era of AI and Machine Learning; it’s an entirely new way to think about the value and the role of data in building tomorrow’s enterprise.
The Cornerstones of a Bottomless Cloud
Using “The Bottomless Cloud,” organizations are transitioning into a post-industrial era that focuses on the limitless abundance of data. By 2035 we will have access to over one yottabyte of data, that’s one billion petabytes, or more than the number of stars in the visible universe.
In the same way that limitless electric power ushered in one hundred years of new industries and innovation, the Bottomless Cloud and near zero storage costs will spur new business models and a new age of innovation that we have only started to imagine.
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Data is the single most important differentiator in how companies innovate, serve their customers, and gain insight into their markets. It is the competitive battlefield of the future. Data is not a byproduct of the business, it is the business. Storing, managing, and accessing it affordably and reliably is the crux of competitive advantage in every industry.
Digital ecosystems are becoming the backbone of complex businesses which rely on intense collaboration and partnerships. Companies that compete as part of a digital ecosystem are obsessively data-centric and focus on eliminating the high friction of data storage and sharing. For example Nike, which has transformed itself from a provider of sneakers and clothing into a lifestyle and fitness company by frictionlessly linking itself to technology and healthcare vendors.
Datafication is the wholescale disruptive transformation of a business model by rebuilding the business around the data. For example Uber’s ability to disrupt the cab industry by building a business model based on data; and not just transactional data, but the much larger treasure trove of behavioral and predictive data.
The high cost of current data storage alternatives is acting like a seawall, holding back a veritable tsunami of innovation that is simply to expensive to put into practice. Advances in healthcare, transportation, education, and even entertainment will require radically less expensive data storage solutions.
Data Contributing Industries
Some of the greatest contributors to the data of the next 50 years will be from industries that are incipient today. For example, it’s projected that by 2035, vehicles in the USA alone will produce over 100 zettabytes of data yearly (That’s 15 times as much data as exists globally today!) From transportation and medicine to manufacturing and entertainment data is being created and consumed at unprecedented rates.
The progress in autonomous devices, such as drivers cars, is being slowed by the lack of enough data. Traditional Cloud 1.0 storage is much too expensive, costing as much as 10 times the price of a fully autonomous vehicle!
In each decade, starting with 1960, the total number of user computing devices has increased on average by one order of magnitude. By 2100 we will end up with a nearly impossible-to-comprehend figure of 1021 devices, that’s one hundred times as many grains of sand as there are on all the world’s beaches! Each of those devices will be consuming and creating unimagined amounts of data.
With the advent of the IoT each digital self or digital twin will interacts with trillions of other digital objects. The greatest value of innovation for the next one hundred years will come from understanding the complex patterns of these interactions and then predicting future behaviors. For example, imagine a Netflix series custom built for each viewer.
30% of all the data currently generated is for healthcare, and yet, half of all hospitals still don’t even have a basic Electronic Health Record. Despite this poor state of affairs, new data continues to flood the current healthcare system with advances in health monitoring and genomics.
Digital Self/Digital Twin
The advent of the digital self and digital twins will create as much as 100 zettabytes (roughly 15 times as much storage as exists in total today) just for the industrial data created by 2025. Consider that digitizing the 40 trillion cells in just a single human would require over 60 zettabytes!