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While investing heavily in R&D, automotive OEMs had not been investing in technologies and business models that are now used by newcomers to disrupt them (software, bigdata, user experience, additive manufacturing/materials, energy storage, sharing economy, direct to consumer). But I think that the problem runs deeper.
While investing heavily in R&D, automotive OEMs had not been investing in technologies and business models that are now used by newcomers to disrupt them (software, bigdata, user experience, additive manufacturing/materials, energy storage, sharing economy, direct to consumer). But I think that the problem runs deeper.
Synthetic Data and Privacy Preservation In the age of bigdata, privacy concerns are at an all-time high. Synthetic data is emerging as a breakthrough innovation that addresses these concerns while still enabling companies to harness the power of data analytics.
There’s nothing more wasteful than having an Innovation Outpost reporting on disruption heading for the company’s core business (autonomous vehicles, machine learning, Virtual Reality, Cloud, Internet of Things, et al.) when no one at headquarters wants to listen.
There’s nothing more wasteful than having an Innovation Outpost reporting on disruption heading for the company’s core business (autonomous vehicles, machine learning, Virtual Reality, Cloud, Internet of Things, et al.) when no one at headquarters wants to listen.
There’s nothing more wasteful than having an Innovation Outpost reporting on disruption heading for the company’s core business (autonomous vehicles, machine learning, Virtual Reality, Cloud, Internet of Things, et al.) when no one at headquarters wants to listen.
There’s nothing more wasteful than having an Innovation Outpost reporting on disruption heading for the company’s core business (autonomous vehicles, machine learning, Virtual Reality, Cloud, Internet of Things, et al.) when no one at headquarters wants to listen.
For some time now we’ve been living into a smarter world filled with BigData and analytics, and a more connected one that’s been described as “ the internet of things.” Is your company ready to compete in a world of smart, connected products ? You have a hypothesis, you try it, and learn.
The widespread deployment of low-cost sensors and their connection to the internet has generated a great deal of excitement (and hype) about the future of manufacturing. The internet of things (IoT) and industrial internet in the United States, Industrie 4.0
Facebook, Google, Amazon, and similar companies are “data-opolies.” ” By that I mean companies that control a key platform which, like a coral reef, attracts to its ecosystem users, sellers, advertisers, softwaredevelopers, apps, and accessory makers. Less innovation in markets dominated by data-opolies.
Robots, autonomous vehicles, commoditized sensors, artificial intelligence, and the Internet of Things reshape the work ecosystem so that flexible, distributed, and transient workforces adapt to rapid business reinvention. ” Your professional staff and softwaredevelopment work might optimally reflect “work reimagined.”
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