Realizing Value On The Path To Artificial Intelligence

While debates about the long-term implications of Artificial Intelligence (AI) are likely to rage on, AI itself is not waiting for answers.

With AI and ML becoming ubiquitous across industries, it has the same potential to refactor the Fortune 500 as the internet has had over the past several decades

The Machine – making sense of AI
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Eight Trends Amplified By COVID-19

I just finished another book and added it to my Library. Pandemic, Inc. explores eight trends that are amplified by the current pandemic. Author Patrick Schwerdtfeger believes we will see more change in the next 12 months then we saw in the last 12 years. He views the current crisis through an optimistic lens, seeing a time of incredible change, but also opportunity.

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The Singularity: Connecting Dots

I have found that the metaphor “Connecting the Dots” is a good way to think about the emerging future. With the sheer number of dots emerging, and the pace at which they advance, we are challenged both by the number of dots, and the speed at which they emerge and Intersect. These dots are combining to form virtuous cycles; complex chains of events that reinforce themselves through feedback loops. Visualizing both the connections and the cycles is one approach to finding the signal through the noise.

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A Closer Look at Transformation: Sense and Respond Systems

Next up in this transformations series is the sixth enabler: sense and respond systems. These systems are critical to the transformation agenda, as most of the disruptive technologies likely to impact the enterprise in the next decade have data at its core. The resulting data explosion promises to complicate information management for most companies. As the speed of business accelerates 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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