Remove Change Remove Data Remove Disruption Remove Internet of things
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What Jake and Flo Aren’t Telling Us: Disruptions Constantly Change the Insurance Industry

Daniel Burrus

And truth be told, you do not need them to do so — you can use your own Anticipatory mindset to decode the disruptions that will change the insurance industry from this point forward. Disruptions — and better yet, digital disruptions — that turn the insurance industry on its head are meant to ease the common pain points customers face.

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6 Ways AI Could Disrupt Your Business

Harvard Business Review

The authors suggest six scenarios that all boards must consider — and then act upon — ranging from predicting extreme operational changes, to anticipating new strategic ways to compete, to foreseeing existential threats that could obviate one’s business. How can boards better understand the potential impacts of AI?

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Business Model Strategies & Tools for Disruptive Digital Innovation

Leapfrogging

Want Disruptive Digital Innovation? At some point every industry and every organization will face disruption. From retailers like Blockbuster and Borders Books to tech giants like Nokia and Blackberry, seemingly untouchable brands have been caught off guard by rapidly changing business landscapes. Disrupt using data.

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The Packaging Industry is Massive, and It’s About to Be Disrupted

Leapfrogging

Disruptive technologies are transforming the packaging that comes with just about everything we buy. This article is one in a series I’m calling Everything Transformed that highlights the various technologies disrupting just about every industry on the planet – and today’s focus is packaging. Drivers of Packaging Disruption.

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The New Tech Toolbelt: Digital Twins, IoT, Cobots, & More

Speaker: Cory Skinner, Founder and CEO of FactR

From limited visibility and a lack of real-time data to a lack of agility and responsiveness to changing market conditions, there's no shortage of difficulties that today's supply chain professionals can encounter. What can be done to not only address these challenges, but overcome them?

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So Much Data, So Little Time. Until Now.

Daniel Burrus

In a way, the exponential growth of machine-to-machine communications with connected sensors, or what is called the Internet of Things (IoT), has become an example of too much of a good thing. Fortunately, a concept called Edge Computing can make sense of, and put to use, the wealth of data taken from IoT.

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Data Science: Infinity War

mjvinnovation

In the coming weeks, we will post a series of posts here on the blog, where we will explain the details of the transformations guided by the new Data Age – which still faces a lot of different organizations. The Data Revolution: Which side do you want to stay in? The Data Revolution: Which side do you want to stay in?

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