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All Blog Posts Tagged 'AI/ML' (7)

Binding Cloud, PLM 2.0, and Industry 4.0 into cohesive digital transformation

In the environment of Industry 4.0, the role of PLM is expanding. The interplay between PLM and Industry 4.0 technologies - like the Internet of Things (IoT), Big Data, Artificial Intelligence (AI), Machine Learning, AR/VR, Model-Based Enterprise (MBE), and 3D Printers - is on the rise. But Industry 4.0 is unlike any previous industrial revolution.…

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Added by Vinaksh on August 30, 2021 at 1:30am — No Comments

The risk of using ‘half-baked’ data to address the challenges posed by COVID-19

As COVID-19 rampages across the globe it is altering everything in its wake. For example, we are spending on essentials and not on discretionary categories; we are saving more and splurging less; work-life balance has a deeper focus on mental health; we are staying home more and traveling less. Our priorities have changed. If you look at this…

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Added by Vinaksh on July 13, 2021 at 9:30pm — No Comments

AI/ML Lessons for Creating a Platform Strategy – Part 2

Summary:  McKinsey says platform companies will represent 30% of global business revenue by next year (2020).  In Part 1 of this article we started to lay out some important lessons learned and examples for you to follow.  Here are the rest.

 

McKinsey says platform companies will represent 30% of global…

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Added by William Vorhies on April 15, 2019 at 7:43am — No Comments

AI/ML Lessons for Creating a Platform Strategy – Part 1

Summary:  McKinsey says platform companies will represent 30% of global business revenue by next year (2020).  Here are some lessons and examples to help mature companies evaluate where they can create AI/ML-enabled platforms to remain competitive.  This is a long topic so this will be Part 1 of 2.

 

As data…

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Added by William Vorhies on April 8, 2019 at 9:29am — No Comments

A Radical AI Strategy - Platformication

Summary:  A new business model strategy based around intermediary platforms powered by AI/ML is promising the most direct path to fastest growth, profitability, and competitive success.  Adopting this new approach requires a deep change in mindset and is quite different from just adopting AI/ML to optimize your current operations.

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Added by William Vorhies on April 1, 2019 at 9:29am — No Comments

Now that We’ve Got AI What do We do with It?

Summary:  Whether you’re a data scientist building an implementation case to present to executives or a non-data scientist leader trying to figure this out there’s a need for a much broader framework of strategic thinking around how to capture the value of AI/ML.

 

There are many articles written from a tools…

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Added by William Vorhies on March 25, 2019 at 8:30am — No Comments

The Best Opportunities in AI for Data Scientists

Summary:  Looking for your next job in an early stage company but want to make sure your startup has staying power.  Follow the expert rankings by CB Insights that also show us the changing trends in how AI startups should be focusing their offerings.

 

Let’s suppose you’re early in your data science career and your…

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Added by William Vorhies on November 5, 2018 at 4:18pm — No Comments

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