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.
15
Feb 2018

Harvard Business Review Article on Artificial Intelligence

English
15
Mar 2018

Some Artificial Intelligence Statistics, by Sector

English
23
Jan 2019

Food Industry: True Opportunities Reside in Artificial Intelligence

English

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
23
May 2024

Exemples de Lean Manufacturing provenant des principaux leaders de l’industrie

La mise en œuvre du Lean Manufacturing peut vous apparaître comme un défi colossal. En regardant ce que les meilleurs ont accompli en appliquant les principes du Lean Manufacturing, vous serez à la fois inspirés et motivés.

French
25
Apr 2024

How to Analyze Throughput Rate

Throughput rates are an important measure of factory performance. Not only does throughput indicate whether the factory can meet customer demand, but it's also an indicator of overall plant efficiency.

English
15
Apr 2024

Les meilleurs outils d’amélioration continue pour les entreprises manufacturières œuvrant dans le secteur agroalimentaire

Dans le paysage concurrentiel du secteur agroalimentaire, la mise en œuvre de méthodologies d'amélioration continue n'est pas seulement un choix : c'est une nécessité pour rester compétitif.

French