13 Aug
2018

What are the Top AI Trends of 2018?

Hardware manufacturing company Lanner put together a list of the most exciting topics in AI in 2018. Think: Decision-making in real-time, quality, predictive ordering and smart opportunity assessment.

Artificial Intelligence
Industry 4.0
Smart Factory
IIoT
What are the Top AI Trends of 2018?
Artificial Intelligence
Artificial Intelligence
Industry 4.0
Industry 4.0
Smart Factory
Smart Factory
IIoT
IIoT
Food & Beverages Processing
Text Link
Consumer Product Goods
Text Link
Material Building & Construction
Text Link
Original Equipment Manufacturer (OEM)
Text Link
Pharmaceuticals & Supplements
Text Link
Packaging & Co-manufacturing
Text Link
Text Link

Artificial Intelligence (AI) is a complicated and popular topic across multiple industries as innovations throughout the field make leaps and strides. The team at hardware manufacturing company Lanner put together a list of what the most exciting topics in AI are in 2018. See the list below and read more about some key benefits of AI to manufacturers.

Lanner's Top 10 AI Trends in 2018:


1. Machine learning: Machine learning (ML) is the branch of artificial intelligence that focuses on equipping machines with the ability to learn without human intervention or programming.

2. Deep neural networks & deep learning theory: Deep neural networks (DNNs) are artificial neural networks that contain multiple hidden layers between their input and output layers, occasionally referred to as “stacked” neural networks. Deep learning is the branch of machine learning that deals with learning data representations instead of task specific algorithms.

3. Machine vision: With artificial intelligence, machine vision systems will be equipped with the ability to learn from their experiences. 

4. Edge AI: One of the most interesting differences between human brains and artificial intelligence tools is the location the “processing” takes place. With AI, the majority of processing and analysis is done in cloud servers rather than on edge devices due to the large data and computing power they require.

5. Customer interaction: According to Gartner, over 80% of all customer interactions will be handles by an AI by the year 2020.

 

 

 

 

6. Big data & analytics: AI’s ability to manage and interpret vast volumes of data much quicker and much more accurately than human beings is what sets it aside as a potentially revolutionary technology. 

7. Natural language recognition: One of the biggest challenges for artificial intelligence technologies has been interpreting intent from the natural language human beings use.

8. The Internet of Intelligent Things: The widespread adoption of AI technologies alongside the continuing expansion of the Internet of Things will begin to build upon the technological foundations laid by previous associated technologies. 

9. AI as a workplace norm: With a growing product base and many more innovations lingering on the horizon, 2018 could also be the year artificial intelligence becomes an everyday technology for a large number of businesses and organizations. 

10. Ethics & responsibility: As the computational power and responsibilities given to AI grow, more attention will need to be given to the ethical considerations of artificial intelligence.

 

Click to enlarge

AI Trends for 2018

 

Infographic: lanner-america.com

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
9
Jan 2024

Manufacturing Trends to Lookout for in 2024

As we look at manufacturing trends for 2024, pressure to stay on top of current trends and maintain competitiveness are at an all-time high

English
3
Aug 2023

Adopter l'IIoT: la voie intelligente pour permettre aux fabricants d’équipement d’origine de prospérer grâce à un partenaire expert en technologies d’usine intelligente IIoT

En s'associant à un fournisseur de solutions IIoT de premier plan, les fabricants d’équipement d’origine peuvent améliorer l'expérience client, stimuler la compétitivité et augmenter leurs sources de revenus.

French
3
Aug 2023

Embracing IIoT: The Smart Path for OEMs to Thrive with a Leading IIoT Smart Manufacturing Partner

By partnering with an expert IIoT solution provider, OEMs can elevate customer experience, boost competitiveness, and grow their revenue streams.

English

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
13
Mar 2024

Moteurs d’efficacité manufacturière : Monitoring des machines et du TRG

Le monitoring des machines et du TRG (taux de rendement global) sont efficaces pour améliorer l'efficacité globale, mais quelle est la différence entre eux et qu'est-ce qui est le mieux adapté à vos opérations?

French
13
Mar 2024

Engines of Manufacturing Efficiency: Machine Monitoring and OEE

Machine Monitoring and OEE (Overall Equipment Effectiveness) are effective at boosting overall efficiency, but what is the difference between them and what is best for your operations?

English
20
Feb 2024

Comment les entreprises ont mis en oeuvre les 14 points de Deming dans le secteur manufacturier

Les 14 points de gestion de Deming ainsi que la suite d'outils de performance de Worximity stimulent l'amélioration et l'innovation dans le secteur manufacturier.

French
16
Feb 2024

Principales différences entre la fabrication discrète et la production par processus

Découvrez le rôle essentiel que joue votre logiciel dans la fabrication discrète et dans la production par processus.

French