Sep 18, 2020

The Future of AI: are you ready?

Artificial intelligence
data management
Digital Transformation
Amber Naylor
2 min


Artificial intelligence has a longer reach than is comprehensible. Touching on numerous fields whilst extending into the everyday life of society. This has become especially significant in recent years as the analysis of data management has increased tenfold, thanks to prosperous IoT connectivity. Some sectors are at the beginning of their AI journey, whilst others are forefronting the digital transformation; there is still progress to be made.  

The impact of artificial intelligence ai is ever present, but will be shaping the future within various fields and cannot be ignored: 

  • Manufacturing: AI powered robotics, working side-by-side with humans, to perform a range of tasks, with predictive analysis sensors, aiding in the running of processes.
  • Transportation: Autonomous vehicles, such as cars, will be commonplace in the coming decade, shaping new forms of transportation within society, in both the private and public sectors. 
  • Education: The digitalisation of reading materials with the help of AI. Also, the early-stages of virtual teaching assistance is in the pipeline, dramatically progressing the process of learning. 
  • Media: The future of journalism is AI. Bloomberg uses AI and machine learning, in aid of making quick sense of key finiances. Healthcare: Using AI technology within healthcare organisations, results in quicker and more accurate diagnosis of diseases, drug discovery and virtual nursing assistants, to help monitor patients and optimize experience. 
  • Customer Service: Tech giant Google is currently working on an AI assistant that can, for example, make appointments. In addition to words, the application can also understand nuance and context. Once optimized, this service will have lasting effects in future society.

These sectors are only a few that will be impacted through the continually progressive use of Artificial Intelligence. Are you ready for the future of AI?

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Jun 23, 2021

Google launches Visual Inspection AI tool for manufacturers

3 min
Google has launched Visual Inspection AI, a new Google Cloud Platform solution designed to help reduce defects during the manufacturing process

Google Cloud has launched Visual Inspection AI, a new tool to help manufacturers identify defects in products before they're shipped. 

Poor production quality control often leads to significant operational and financial costs. The American Society for Quality estimates that for many organisations this cost of quality is as high as 15-20% of annual sales revenue, or billions of dollars annually for larger manufacturers. Google Cloud’s new Visual Inspection AI solution has been purpose-built for the industry to solve this problem at production scale. 

How does it work? 

The Google Cloud Visual Inspection AI solution automates visual inspection tasks using a set of AI and computer vision technologies that enable manufacturers to transform quality control processes by automatically detecting product defects.

Google built Visual Inspection AI to meet the needs of quality, test, manufacturing, and process engineers who are experts in their domain, but not in AI. 

  • Run autonomously on-premises: Manufacturers can run inspection models at the network edge or on-premises. The inspection can run either in Google Cloud or fully autonomous on your factory shop floor. 
  • Short time-to-value: Customers can deploy in weeks, not the months typical of traditional machine learning (ML) solutions. Built for process and quality engineers, no computer vision or ML experience required. An interactive user interface guides users through all the steps. 
  • Superior computer vision and AI technology: In production trials, Visual Inspection AI customers improved accuracy by up to 10x compared with general-purpose ML approaches, according to benchmarks from several Google Cloud customers. 
  • Get started quickly, with little effort: Visual Inspection AI can build accurate models with up to 300x fewer human-labeled images than general-purpose ML platforms, based on pilots run by several Google Cloud customers.
  • Highly scalable deployment: Manufacturers can flexibly deploy and manage the lifecycle of ML models, scaling the solution across production lines and factories.

Industry use cases

The demo video shows how Visual Inspection AI addresses use cases to solve specific quality control problems in industries such as automotive manufacturing, semiconductor manufacturing, electronics manufacturing and general-purpose manufacturing. 

Kyocera Communications Systems, a manufacturer of mobile phones for wireless service providers, has been able to scale its AI and ML expertise through the use of the solution. “With the shortage of AI engineers, Visual Inspection AI is an innovative service that can be used by non-AI engineers,” said Masaharu Akieda, Division Manager, Digital Solution Division, KYOCERA Communication Systems. “We have found that we are able to create highly accurate models with as few as 10-20 defective images with Visual Inspection AI. We will continue to strengthen our partnership with Google to develop solutions that will lead our customers' digital transformation projects to success.”

Visual Inspection AI has fully integrated with Google Cloud's portfolio of analytics and ML/AI solutions, giving manufacturers the ability to combine its insights with other data sources. The tool integrates with existing products from Google Cloud partners, including SOTEC, Siemens, GFT, QuantiPhi, Kyocer and Accenture. 

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