AI Podcast Interviews Articles and Reports

Our podcast interviews feature the best and brightest executives and researchers in artificial intelligence today, and each episode highlights current and near-term AI use-cases of value for business leaders. Explore our full list of AI podcast episodes below:

final-updated-Approaching Life Sciences and Retail Challenges from a Data Perspective – with Alberto Rizolli of V7
Automation and robotics
Consumer goods
Conversion optimization
Healthcare
Customer analytics
Pharma
Data auditing
Professional services
Data collection
Retail
Data management
Retail
Demand generation
Document processing
Drug discovery
Generative AI
Industrial automation
Large language models
Large Language Models
Logistics
Marketing and advertising
model development
Natural Language Processing
Research and development
Supply chain management

Approaching Life Sciences and Retail Challenges from a Data Perspective – with Alberto Rizzoli of V7

Problems in different industries can look quite similar when looked at from the perspective of data. Though diverse business problems originate from distinct domains and needs, they often share a common thread and solution. 
Financial Services Challenges from a Data Perspective – with Bill Waid of FICO@2x-min
Case management
Claim management
Compliance
Customer experience
Customer service
Data auditing
Data collection
Data entry
Data integration
Data management
Enterprise resource planning
Generative AI
Help desk
Intelligent assistant
Investment
Knowledge management
Large Language Models
model development
Natural Language Processing
Process automation
Report generation
Risk management
Training and development

Financial Services Challenges from a Data Perspective – with Bill Waid of FICO

Originally founded as Fair, Isaac and Company, FICO is a data analytics company founded in 1956. Based in Bozeman, Montana, the company is focused on credit scoring services, most notably its FICO score, which measures a person's creditworthiness. 
Improving Patient Experiences in Health Insurance Workflows@1x
"Clinical support
Alert messaging
Automation and robotics
Business intelligence and analytics
Case management
Claim management
Customer analytics
Customer experience
Customer service
Data analysis
Data collection
Data integration
Data management
Generative AI
Help desk
Intelligent assistant
Large language models
Large Language Models
Predictive analytics and forecasting
Process automation
Report generation
Search engine

Improving Patient Experiences in Health Insurance Workflows – with Shane Bray and John Thomas of Uniphore

This interview analysis is sponsored by Uniphore 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.
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.
AI Solutions for B2b Customer Experiences – with Shahar Chen of Aquant@2x
AI Podcast Interviews

AI Solutions for B2B Customer Experiences – with Shahar Chen of Aquant

This interview analysis is sponsored by Aquant 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.
The Essentials of Wireless Technology Infrastructure for Automotive Manufacturers – with Don McGuire of Qualcomm@2x-min
Automation and robotics
Business intelligence and analytics
Customer analytics
Customer experience
Customer service
Data analysis
Data auditing
Data collection
Data entry
Data integration
Data management
Industrial automation
Knowledge management
Predictive analytics and forecasting
Process automation
Report generation

The Essentials of Wireless Technology Infrastructure for Automotive Manufacturers – with Don McGuire of Qualcomm

Due to technological advancements, automakers are uniquely positioned to benefit from an industry-wide transformation. Technology now allows a direct connection between car manufacturers and the customers who purchase those cars. Such a relationship has never before been possible in the history of the automotive industry.
How to Think of the Future of Finserv in the Age of GenAI – with Marco Argenti of Goldman Sachs@2x-min
AI Podcast Interviews

How to Think of the Future of Finserv in the Age of GenAI – with Marco Argenti of Goldman Sachs

With the rapid proliferation of generative AI tools, there is growing anticipation of their potential to bring about notable changes in the financial and business sectors. Examples such as the creation of "the new Bing" – a combination of Microsoft's Bing search engine and ChatGPT, which can generate more reliable and comprehensive answers – and other generative AI tools used to create videos for product design, have all contributed to the expectations within various sectors.
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.