Artificial Intelligence (AI) is a very hot topic in healthcare. The potential benefits are enromous. While many health systems are implementing "AI" to aid certain use cases, the term AI is often stretched to its definitional limits when discussed in the context of healthcare.

In an industry still struggling to find a cohesive data strategy consistent with other sectors of the economy, discussing algorithms and their biases, efficacy, and statistial impact is premature.

Is US healthcare really ready for AI?

Technologies of the Fourth Industrial Revolution

This morning I searched Google using the literal string "AI in healthcare". An astounding 670,000 results appeared instantaneously.

I chose to search a more refined index and executed the same query over Google Scholar. In .67 seconds Google delivered 2,640 results.

There is little question that AI is a potential healthcare game changer. For AI to work, it requires lots and lots of data. And the data must be sufficiently comprehensive to represent the full breadth and depth of the real world manifestation of whatever healthcare use case is modeled. Unfortunately, the "inconvenient truth" is that health data is disjointed, compartmentalized, poorly shared, and symantically inconsistent.

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- Todd J. Fisher

Can US banks keep up?

Technologies of the Fourth Industrial Revolution

In the age of autonomous driving vehicles, privately funded space tourism, and AI initaitives seeking to model and replicate human

consciousness (Lex Fridman Podcast episode #215), it is hard to imagine that over 40% of US banks still rely on COBOL (a 60+ year old technology) as a core technology platform.

This piece by EY offers eye-opening analysis and insights, as well as an opportunity to be a fly on the wall during two meetings held by the Bank Governance Leadership Network (BGLN) in early 2019. EY offers access to the BGLN Report, Viewpoints, at the end of their article.

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Quantum computing - are you ready?

Technologies of the Fourth Industrial Revolution

We live in an age of constant hype and hyperbole. In the face of an exponential acceleration in the rate of change, discussions that suggest

revolutionary technologies such as quantum computing are right around the corner are often and all too easily dismissed.

This piece offers facts regarding the rapid increase in the number of serious research papers and publications on quantum computing, as well as a corresponding rise in the the number and level of investments in quantum computing.

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Accelerating rate of change

Technologies of the Fourth Industrial Revolution

Did you know that 50 years ago the average life expectancy of companies listed on the S&P 500 was about 60 years, and now...

companies listed on the S&P 500 last less than 20 years. Such a precipitous decline - nearly 70% - in the life expectancy of companies listed on the S&P 500 is a vivid illustration of the disruptive nature change can have on businesses, industries, and entire markets. But that is not the whole story. After all, many businesses recognize the inevitability of change and the need to adapt accordingly. The stats suggest there is more to the disruptive nature of change - another dimension that is often overlooked. What happens when the rate of change is also changing?

Accelerating rate of change is perhaps the most critical source of disruption in the digital economy.

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More than technology

Technologies of the Fourth Industrial Revolution

Digital transformation fails when those responsible for executing on a strategy fail to understand the holistic nature

of real digital transformation. It requires adaptation across the entire continuum of human experience to survive and thrive in this global digital ecosystem. If we wish to distill digital transformation down to its first principle, it is about recognizing and adapting to rapid change driven by the convergence of advanced information technology, biology, and the environment in which we exist.
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Innovative Disruption and the Global Economy in 2025

10 technologies shaping the future of work

Pluralsight offers expert insight into a McKinsey report that discusses the creative destruction potential of 10 technologies associated with the

fourth industrial revolution. In four short years, by 2025, these technologies will have a major impact on the global economy, disrupt the very nature of work, and alter the future workforce needs in unprecendented ways.
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Media is changing - 7 predictions.

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In 2016, Business Insider's Ignition conference offered key takeaways regarding the future of media. That future is now.

How good are we at predicting? Certainly, advancements in all things digital offer the potential for insights previously beyond our reach. There is, however, much more noise than signal. We need to ask the right questions, evaluate the answers, and surgically tease the signal from the noise. In future posts, we will address this topic in greater detail.
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What is digital transformation?

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Here are five steps companies can implement to mitigate challenges associated with digital transformation.

This piece offers a more holistic perspective punctuated by a discussion regarding changing skill set requirements and the importance of adaptability.
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Digital is going fast.

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New products and platforms make space for new cycles of innovation, all of which tend to follow a similar cycle.

We should understand the past to anticipate what is to come. Sounds right. Beware of our tendency, as humans, to "understand in hindsight" by crafting narratives to explain. Predictions have no stories to fit what has not yet happened. We don't know what we don't know.
Hyper-adaptability is thus the most valuable competitive advantage.
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Creating a data-driven organization.

Becoming a data driven enterprise

Data is the raw material of our global digital ecosystem. A sound data strategy is critical. Two crucial competencies required

in a digital universe - data engineering and understanding how to leverage high performance cloud computing - are critical organizations operating today that wish to continue to operate tomorrow. MIT and Amazon's AWS share their insights.
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