21 Aug
2018

Five Pillars of a Successful AI-based Transformation

The innovations resulting from the arrival of artificial intelligence (AI) are within reach for many companies. When it comes to using AI and IIoT, consider the five pillars to make a successful AI-based transition and adopt leaner and more agile work practices.

Artificial Intelligence
Industry 4.0
Lean Manufacturing
IIoT
Five Pillars of a Successful AI-based Transformation

The innovations resulting from the arrival of artificial intelligence (AI) are within reach for many companies. When it comes to using AI and the Industrial Internet of Things (IIoT,) Senior Vice President, Global Solutions & Innovation at Hitachi Consulting Philip Townsend says these things need to “work together securely at commercial or industrial scale to create business value.” In a report he wrote with Vice President Organization Effectiveness at Hitachi Consulting Susan Anderson and Hitachi Fellow Dr. Kazuo Yano, they discuss the “Five pillars of a successful AI-based transformation,” and more with a view to helping your manufacturing plant more lean and agile with AI and IIoT.

Here are the five pillars of a successful AI-based transformation according to Townsend, Anderson, and Yano.  

 

  1. Demonstrate effective digital leadership: Leaders wanting to create new value streams from AI need to be collaborative with  groups like R&D and IT, but also recognize that the digital vision ultimately cascades from the  top down through the rest of the organization.
     
  2. Enhance customer engagement: In practical terms, this means putting the customer at the center of the AI vision and building the capabilities required to move ever closer to customers, end-users, suppliers  and investors.
     
  3. Improve the operational environment. This pillar is foundational because AI and other digital capabilities enable organizations  to act faster, smarter and more cohesively, with unprecedented levels of clarity and precision.
     
  4. Evolve the core architecture: An essential component of digital transformation using AI is evolving the  core architecture. Streamlined, secure and robust IT drives the digital enterprise, creating a more  responsive digital core that provides intuitive access to business data and apps that enable greater efficiency and effectiveness.  

    Source + read the complete report.

 

Want to learn more?
Download the ebook
Related blog articles

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
15
May 2019

Un nouveau regard sur l'industrie de la production alimentaire avec l'intelligence artificielle

French
26
Apr 2019

Les robots et l'intelligence artificielle font leur entrée dans l'industrie alimentaire

French
7
Jan 2019

Artificial Intelligence in the Food Industry: Six areas of application

English

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
13
Jul 2023

5 façons dont le monitoring de la production aide à réduire le roulement et à combler le manque de compétences

La technologie a un rôle important à jouer non seulement pour combler le manque de compétences dans le secteur manufacturier, mais aussi pour créer un environnement de travail positif et stimulant qui favorise la loyauté et la rétention des employés.

French
13
Jul 2023

5 Ways Production Monitoring Helps Reduce Turnover and Bridge the Skills Gap

Technology has an important role to play in not only bridging the manufacturing skills gap but also creating a positive and engaging work environment that fosters employee loyalty and retention.

English
28
Jun 2023

Investir dans l'industrie 4.0 : c'est désormais plus important que jamais pour les manufacturiers d’agroalimentaire et boissons de toutes tailles

La clé est d'adopter l'innovation pour naviguer dans des conditions en constante évolution et rester à l'écoute des demandes des consommateurs, tout en maximisant la rentabilité.

French