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 (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

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.
7
Jan 2019

Artificial Intelligence in the Food Industry: Six areas of application

English
8
Oct 2019

Types de gaspillages dans le lean manufacturing - le gaspillage dû au sur-traitement

French
27
Mar 2020

Ce que vous devez savoir sur le monitoring de la production en 2020

French

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
1
Aug 2023

How Worximity Transforms Data from Your Shop Floor into Metrics that Drive Productivity

Manufacturers are sitting on a gold mine of data and Worximity puts this critical information within reach for manufacturers of all types and sizes.

English
27
Jul 2023

Monitoring de la production ou ERP: ce dont votre usine a vraiment besoin.

Rester compétitif et maximiser l'efficacité est crucial dans le paysage manufacturier d'aujourd'hui. Pour atteindre ces objectifs, les entreprises manufacturières sont souvent confrontées au dilemme de sélectionner les bonnes solutions logicielles pour rationaliser les opérations.

French
27
Jul 2023

Production Monitoring or ERP: what your manufacturing plant really needs.

Remaining competitive and maximizing efficiency is crucial in today’s manufacturing landscape. To achieve these goals, manufacturers are often faced with the dilemma of selecting the right software solutions to streamline operations.

English