AI Articles and Analysis about model development

AI at State Farm@1x-min
Automation and robotics
Business intelligence and analytics
Case management
Case management
Claim management
Claim management
Compliance
Customer analytics
Customer analytics
Customer experience
Customer service
Data auditing
Data collection
Data integration
Data management
Document processing
Emergency management
Enterprise resource planning
Fraud protection
Generative AI
Help desk
Intelligent assistant
Investment
Large language models
Large Language Models
Logistics
Marketing and advertising
model development
Reputation management
Security

Artificial Intelligence at State Farm

State Farm is a large insurance company headquartered in Bloomington, Illinois. Its main lines of business include property and casualty insurance, as well as auto insurance. The company is the leading auto and home insurer in the United States.
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.
AI Communications Surveillance-1x min
Automation and robotics
Business intelligence and analytics
Cybersecurity
Data analysis
Data auditing
Data collection
Data integration
Data management
Defense
Fraud protection
Generative AI
Identity theft
Insider threats
Large language models
Large Language Models
model development
Natural Language Processing
Predictive analytics and forecasting
Security
Text analysis

AI for Communications Surveillance and Compliance – Two Use Cases

Communications surveillance in financial services involves both monitoring and analyzing electronic communications within a financial institution to prevent fraud, ensure regulatory compliance, identify and manage risks resulting from inappropriate activity, and maintain integrity in financial markets. 
Machine Learning and Large Language Models in Healthcare – with Dr. Arta Bakshandeh of Alignment Health@1x
"Clinical support
Healthcare
Business intelligence and analytics
Healthcare services
Claim management
Compliance
Customer analytics
Data analysis
Data auditing
Data collection
Data integration
Data management
Enterprise resource planning
Generative AI
Knowledge management
Large Language Models
model development
Predictive analytics and forecasting
Report generation

Machine Learning and Large Language Models in Healthcare – with Dr. Arta Bakshandeh of Alignment Health

AI and machine learning have promising potential in the field of healthcare. However, there is one significant hurdle healthcare companies often encounter when trying to implement AI and machine learning. The data architecture of current legacy systems in healthcare settings prevents implementing many use cases and limits a company’s ability to benefit from these technologies fully.
Beyond GPUs_ The Future of AI Computing with Perspectives from Intel, GE Research, Groq and Rain@2x
Business intelligence and analytics
Chemicals
Customer analytics
Consumer goods
Data analysis
Electronics
Data auditing
Heavy industry
Data collection
Manufacturing
Data entry
Tech
Data integration
Data management
Emergency management
Generative AI
Knowledge management
Logistics
model development
Predictive analytics and forecasting
Process automation
Supply chain management

Beyond GPUs: The Future of AI Computing with Perspectives from Intel, GE Research, Groq and Rain

Edge AI, also known as edge intelligence, is a term that refers to the convergence of two dynamic technological trends: edge computing and Artificial Intelligence. In today's tech landscape, the proliferation of mobile devices and advancements in communication technologies have fueled the rise of edge computing, which focuses on processing data at the network edge. 
001 – Embedded Analytics in Banking – Two Use Cases
Business intelligence and analytics
Data analysis
Data integration
Data management
Enterprise resource planning
Generative AI
model development
Natural Language Processing
Predictive analytics and forecasting
Risk management
Search engine

Embedded Analytics in Banking – Two Use Cases

Traditional business analytics has undergone significant changes thanks to the internet revolution, cloud computing and the shift to self-service analytics, contributing to the recent rise of embedded analytics in business operations. Embedded analytics involves embedding and integrating visualizations, dashboards, reports or predictive analytics in everyday business applications. 
Telling Fact from Fiction in Launching Enterprise AI and Bespoke LLMs@2x
Generative AI
Large Language Models
model development

Telling Fact from Fiction in Launching Enterprise AI and Bespoke LLMs – with Alberto Rizzoli of V7

Navigating AI's challenges in transforming critical business operations applications are two pivotal aspects driving what is becoming a right of passage for nearly every industry in the evolution of modern enterprises. As organizations strive to harness the power of AI, they encounter intricate challenges, from data extraction to the complex task of molding AI into a tool that enhances various business functions.