AI Articles and Analysis about Machine learning infrastructure

Machine learning is the subfield of computer science that gives computers the ability to learn without being explicitly programmed.

Generative AI Adoption Challenges From a Data Perspective – with Ted Kwartler of Data Robot and Tsavo Knott of Pieces@1x
Data auditing
Data collection
Data entry
Data integration
Data management
Employee engagement
Generative AI
Large Language Models
Legal research
Machine learning infrastructure
model development
Natural Language Processing
Process automation
Report generation
Research and development
Software development

Generative AI Adoption Challenges From a Data Perspective – with Ted Kwartler of Data Robot and Tsavo Knott of Pieces

This interview analysis is sponsored by Pieces 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.
Future of Drug Targeting – Lilly @2x-1-min
Business intelligence and analytics
Customer experience
Customer service
Data analysis
Data auditing
Data collection
Data entry
Data integration
Data management
Discovery
Drug discovery
Ediscovery
Knowledge management
Machine learning infrastructure
Process automation
Research and development
Text analysis

The Future of Drug Targeting and Clinical Development with Generative AI Tools – with Ramesh Durvasula of Eli Lilly

Lily is a pharmaceutical giant with a legacy dating back to its founding in 1876 by Colonel Eli Lilly. The company engages more than 9600 employees in research and development, with clinical research conducted in more than 55 countries. As of 2022, the company clocked a revenue of $28,541.4 million and made a net income of $6,244.8 million. 
AI at GSK@2x-min
Data collection
Data integration
Data management
Drug discovery
Knowledge management
Machine learning infrastructure
Research and development

Artificial Intelligence at GSK

GlaxoSmithKline (GSK) is a multinational pharmaceutical company headquartered in Brentford, UK. The company operates in over 150 countries. GSK offers a wide range of pharmaceutical products, vaccines, and consumer healthcare products, including over-the-counter medications, oral care and nutritional products.
AI at Cardinal Health@2x-min
Case management
Claim management
Claim management
Compliance
Customer experience
Customer service
Enterprise resource planning
Help desk
Intelligent assistant
Machine learning infrastructure
Research and development

Artificial Intelligence at Cardinal Health – Two Use Cases

Cardinal Health is a global healthcare services company with a rich history and a strong focus on providing integrated solutions to the healthcare industry. Established in 1971, the company has become a leading player in the healthcare sector, offering a wide range of products, services, and technologies to enhance patient care, optimize supply chain efficiency, and drive value-based outcomes.
AI at Bosch@1x-min
Data analysis
Chemicals
Data auditing
Electronics
Data collection
Heavy industry
Data integration
Manufacturing
Industrial automation
Industrial control system
Knowledge management
Laboratory automation
Machine learning infrastructure
Predictive analytics and forecasting

Artificial Intelligence at Bosch

Bosch is a German multinational technology and engineering company headquartered in Gerlingen, Germany. Bosch manufactures products across various industries, including aerospace, automotive, energy and utilities, healthcare and others.
Strategic Adoption of Large Language Models and Generative AI – with Asif Hasan of Quantiph@2x
Case management
Data collection
Data entry
Data management
Discovery
Drug discovery
Employee engagement
Enterprise resource planning
Knowledge management
Legal research
Machine learning infrastructure
Process automation
Research and development
Risk management
Software development

Strategic Adoption of Large Language Models and Generative AI – with Asif Hasan of Quantiphi

As nearly every American household has realized over the last year, large language models combined with generative AI abilities pose tremendous challenges and opportunities for enterprises of every shape and size. Just ask anyone who has heard of ChatGPT.
Overcoming Obstacles 
in Reaching ROI
for AI projects@2x
Data collection
Data management
Employee engagement
Machine learning infrastructure
Process automation
Research and development
Training and development

Overcoming Obstacles in Reaching ROI for AI Projects – with Fallon Gorman of NLP Logix

AI initiatives that cannot find ROI have no use in modern business. However, the path to ROI from enterprise-wide digital transformations is never a straight and narrow road. A pre-pandemic survey from MIT Sloan Management Review and Boston Consulting Group found that 70% of companies among those surveyed reported no value from their AI investments. 
002 – Creating Insurance Policies for AI Applications – with Munich Re’s Michael Berger
Business intelligence and analytics
Data analysis
Machine learning infrastructure
Predictive analytics and forecasting
Research and development

Creating Insurance Policies for AI Applications – with Munich Re’s Michael Berger

As AI becomes increasingly interwoven in the fabric of our everyday lives, the insurance sector is finding new business challenges and opportunities in all of the ways these emerging technologies bring increased risk - and security - to our lives.

Machine learning infrastructure

Machine learning is the subfield of computer science that gives computers the ability to learn without being explicitly programmed.