AI Articles and Analysis in Heavy industry

Explore articles and analysis related to artificial intelligence in heavy industry, including coverage of manufacturing, utilities, mining, and more.

Driving Personal Relationships in F&B Procurement-min
Business intelligence and analytics
Heavy industry
Customer analytics
Natural resources
Data auditing
Oil & gas
Data collection
Data management

Data-Driven Decision-Making for Global Supply Chains and Procurement – with Luke van der Waals of SLB and William Seagrave of Arkestro

This article is sponsored by Arkestro and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.
Artificial Intelligence at Geico-1x-min
Business intelligence and analytics
Aviation
Data auditing
Heavy industry
Data collection
Transportation
Data integration
Data management
Generative AI
model development

Artificial Intelligence at Boeing – Two Use Cases

Boeing, founded in 1916, is a global aerospace company and one of the largest aircraft manufacturers in the world. Headquartered in Arlington, Virginia, the company operates in commercial airplanes, defense, space, and security sectors. 
Solving Workforce and Workflow Challenges in Field Services with Tribal Knowledge-min
Claim management
Field Services
Customer service
Heavy industry
Data auditing
Data collection
Data integration
Data management
Generative AI
Knowledge management
model development
Tribal Knowledge

Solving Workforce and Workflow Challenges in Field Services with Tribal Knowledge – with Experts from Aquant, ABB, Atlas Copco, Illumina, and Tetra Pak

This interview analysis is sponsored by Aquant and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.
Driving Safety Through Collaboration in the Canadian Automotive Industry@2x-min
Automation and robotics
Automotive
Vehicular automation
Heavy industry
Transportation

Driving Safety Through Collaboration in the Canadian Automotive Industry – with Frantz Saintellemy of LeddarTech and Flavio Volpe of APMA Canada

This article is sponsored by LeddarTech and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.
V.1 – How AI Drives Drug Development Workflows and Value Chains Across Life Sciences Enterprises-1x-min
"Clinical support
Healthcare
Business intelligence and analytics
Healthcare services
Customer analytics
Heavy industry
Data analysis
Manufacturing
Discovery
Pharma
Drug discovery
Professional services
Machine learning infrastructure
Predictive analytics and forecasting
Research and development

How AI Drives Drug Development Workflows and Value Chains Across Life Sciences Enterprises – with Leaders from Benevolent and Takeda

This article/interview analysis is sponsored by BenevolentAI and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.
Tires and Data Collection for Autonomous Vehicles-1
Business intelligence and analytics
Automotive
Data analysis
Financial services
Data auditing
Heavy industry
Data collection
Manufacturing
Data integration
Transportation
Data management
Predictive analytics and forecasting
Report generation

Tires and Data Collection for Autonomous Vehicles – with Chris Helsel of Goodyear

Technological advancements have contributed to an increase in more efficient and sustainable transportation solutions. Predictions made decades related to autonomous vehicles were wildly optimistic. The automated transportation industry might not align with those early predictions, but there have still been noteworthy developments. 
Driving Data Solutions and Governance in Procurement – v.3-1-min
Automation and robotics
Chemicals
Case management
Consumer goods
Case management
Electronics
Customer service
Heavy industry
Data auditing
Manufacturing
Data collection
Data integration
Data management
Enterprise resource planning
Industrial automation

Driving Data Solutions and Governance in Commodities Procurement – with Rupam Baijal of Algoma and Edmund Zagorin of Arkestro

This interview analysis is sponsored by Arkestro and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.
Driving Drug Discovery Efficiencies in Life Sciences with AI-1-min
Data auditing
Chemicals
Data collection
Healthcare
Data integration
Heavy industry
Data management
Manufacturing
Drug discovery
Pharma
Machine learning infrastructure
Research and development

Driving Drug Discovery Efficiencies in Life Sciences with AI – with Anne Phelan of BenevolentAI

According to research from the American Society for Biochemistry and Molecular Biology, nine out of 10 drugs fail to make it to market in the clinical trials process. Researchers in the cited studies found that 40-50% of these failures are due to a lack of clinical efficacy, meaning that the drug is not able to produce its intended effect in people, and 30% were due to unmanageable toxicity or side effects.

Heavy industry

Explore articles and analysis related to artificial intelligence in heavy industry, including coverage of manufacturing, utilities, mining, and more.