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. On top of this, from an incumbents’ point of view, there are legitimate reasons for rejecting a new technology.

Innovation Management 100

Innovation Management Management Underperforming Technical Team Big Data 100

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. Reinvention through business model innovation. Let’s remind: One size does not fit all.

Underperforming Technical Team 40

Underperforming Technical Team Big Data Innovation Technical Review 40

hackerearth

JULY 19, 2018

Businesses that use Artificial Intelligence (AI) and related technology to reveal new insights “will steal $1.2 Although AI has been around since the 1950s, it is only recently that the technology has begun to find real-world applications (such as Apple’s Siri). Data security. predicts Forrester Research. Applications of AI.

Artificial Inteligence 79

Artificial Inteligence Technical Review Software Review Big Data 79

The Inovo Group

NOVEMBER 8, 2017

A-priori and post-hoc – Predict what future outcomes or wait to get actual data. This is a constant tension in any innovation management system and an area in which new, AI-based tools will have significant impact in this area. Prediction of survival, growth and size based on experimental data and advanced analytics.

System 40

System Analysis Innovation Data 40