Tim Kastelle

MARCH 13, 2016

In part 1 of this post , Ralph revisited key innovation issues that were already addressed by us three years ago. It doesn’t always translate to managers, however. Co-Innovation and startup engagement. Tim’s Comment: I can’t tell you how often I come back to exploration/exploitation as a key concept.

Innovation Management 100

Innovation Management Management Underperforming Technical Team Big Data 100

hackerearth

JULY 19, 2018

Recent advances in AI have been helped by three factors: Access to big data generated from e-commerce, businesses, governments, science, wearables, and social media. Improvement in machine learning (ML) algorithms—due to the availability of large amounts of data. Knowledge: The ability to present knowledge about the world.

Artificial Inteligence 79

Artificial Inteligence Technical Review Software Review Big Data 79

Integrative Innovation

JANUARY 27, 2016

Hence, I gave it some thought, starting by revisting an earlier reflection: Beginning of 2013, Tim Kastelle and I identified four key issues in innovation management for the time to come. Recently, experimentation in innovation management is particularly facilitated by intinsified use of (rapid) prototyping.

Underperforming Technical Team 40

Underperforming Technical Team Big Data Innovation Technical Review 40