As machine studying (ML) know-how improves and makes use of circumstances develop, extra companies are using ML to optimize their operations by knowledge.
Here are some examples throughout the globe of how organizations in varied industries are working with distributors to implement machine studying options:
See extra: Machine Learning Market
5 Case Studies on Machine Learning
1. AES on Google Cloud AutoML Vision
The AES Corporation is an influence era and distribution firm. They generate and promote energy used for utilities and industrial work.
They depends on Google Cloud on their street to creating renewable power extra environment friendly. AES makes use of Google AutoML Vision to overview pictures of wind turbine blades and analyze their upkeep wants.
“On a typical inspection, we’re coming again with 30,000 pictures,” says Nicholas Osborn, a part of the Global AI/ML Project Management Office at AES.
“We’ve constructed an ideal ML resolution utilizing Google Cloud’s instruments and platform. With the AutoML Vision instrument, we’ve skilled it to detect injury. We’re in a position to remove roughly half of the pictures from needing human overview.”
Industry: Electric energy era and distribution
Machine studying product: Google Cloud AutoML Vision
Outcomes:
Reduced picture overview time by roughly 50%
Helped cut back costs of renewable power
More time to spend money on figuring out wind turbine injury and mending it
Watch the complete AES on Google Cloud AutoML Vision case research right here.
2. AIMMO Enterprise on Microsoft Azure Machine Learning Studio
AIMMO Enterprise is a South Korean web-based platform for self-managing knowledge labeling tasks. Their companies can be utilized for autonomous driving, robotics, good factories, and logistics.
They have been in a position to enhance work effectivity and productiveness by establishing an MLOps pipeline utilizing the Azure Machine Learning Studio.
“With Azure ML, AIMMO has skilled important price financial savings and elevated enterprise effectivity,” says SeungHyun Kim, chief technical officer at AIMMO.
“By leveraging the Azure ML pipeline, we have been in a position to construct the whole cycle of AIMMO MLOps workflow rapidly and flexibly.”
Industry: Professional companies
Machine studying product: Microsoft Azure Machine Learning Studio
Outcomes:
Improved effectivity and diminished prices
Helped construct AIMMO’s complete MLOps workflow
Makes it simpler to deploy batch interface pipelines
Works as an all-in-one MLOps resolution to course of knowledge in 2D and 3D
Read the complete AIMMO on Microsoft Azure Machine Learning Studio case research right here.
See extra: Key Machine Learning (ML) Trends
3. Bayer AG on AWS SageMaker
Bayer AG is a multinational pharmaceutical and life sciences firm based mostly in Germany. One of their specializations is in producing pesticides, fungicides, and herbicides for agricultural functions.
To assist farmers monitor their crops, they created their Digital Yellow Trap: an Internet of Things (IoT) system that alerts farmers of pests utilizing picture recognition.
The IoT system is powered utilizing AWS’ SageMaker, a completely managed service that permits builders to construct, prepare, and deploy machine studying fashions at scale.
“We’ve been utilizing Amazon SageMaker for fairly a while, and it’s turn out to be considered one of our essential companies for AI improvement,” says Dr. Alexander Roth, head of engineering on the Crop Protection Innovation Lab, Bayer AG.
“AWS is continually enhancing its companies, so we all the time get new updates.”
Industry: Agriculture and prescribed drugs
Machine studying product: AWS SageMaker
Outcomes:
Reduced Bayer lab’s structure prices by 94%
Can be scaled to accommodate for fluctuating demand
Able to deal with tens of 1000’s of requests per second
Community-based, early warning system for pests
Read the complete Bayer AG on AWS SageMaker case research right here.
4. American Cancer Society on Google Cloud ML Engine
The American Cancer Society is a nonprofit devoted to eliminating most cancers. They function in additional than 250 regional workplaces everywhere in the U.S.
They’re utilizing Google Cloud ML Engine to determine novel patterns in digital pathology pictures. The goal is to enhance breast most cancers detection accuracy and cut back the general prognosis timeline.
“By leveraging Cloud ML Engine to research most cancers pictures, we’re gaining extra understanding of the complexity of breast tumor tissues and the way recognized danger components result in sure patterns,” says Mia M. Gaudet, scientific director of epidemiology analysis on the American Cancer Society.
“Applying digital picture evaluation to human pathology could reveal new insights into the biology of breast most cancers, and Google Cloud makes it simpler.”
Industry: Nonprofit and medical analysis
Machine studying Product: Google Cloud ML Engine
Outcomes:
Enhances pace and accuracy of picture evaluation by eradicating human limitations
Aids in enhancing sufferers’ high quality of life and life expectancy
Protects tissue samples by backing up picture knowledge to the cloud
Read the complete American Cancer Society on Google Cloud ML Engine case research right here.
5. Road Safety Commission of Western Australia on SAS Viya
The Road Safety Commission of Western Australia is a enterprise unit of the Western Australia Police Force. It is chargeable for monitoring street accidents and making the roads safer with ample precautions.
To obtain its security technique “Towards Zero 2008-2020” of lowering street fatalities by 40%, the street security fee is counting on machine studying, synthetic intelligence (AI), and superior analytics.
“The new mannequin assesses intersections by danger, not by crashes,” says David Slack-Smith, supervisor of knowledge and intelligence on the Road Safety Commission of Western Australia.
“Taking out the variability and analyzing by danger is a elementary shift in how we take a look at this drawback and make suggestions to scale back danger.”
Industry: Government and transportation
Machine studying product: SAS Viya
Outcomes:
Data engineering and visualization time diminished by 80%
An estimated 25% discount in car crashes
Straightforward and environment friendly knowledge sharing
Flexibility of knowledge with varied coding languages
Read the complete Road Safety Commission on SAS Viya case research right here.
See extra: Top Performing Artificial Intelligence Companies
