AI Articles and Analysis about Data analysis

Analysis of data, also known as data analytics, is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making.

Identifying and Mitigating Bias in AI Models for Recruiting@2x
Business intelligence and analytics
Data analysis
Data auditing
Data collection
Data integration
Data management
Hiring
HR
Skills ID

Identifying and Mitigating Bias in AI Models for Recruiting – with Jason Safley of Opptly

This interview analysis is sponsored by NLP Logix 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.
Solving Data Management Challenges in Third-Party Logistics Spaces@2x
Business intelligence and analytics
Case management
Claim management
Customer service
Data analysis
Data auditing
Data collection
Data integration
Data management

Solving Data Management Challenges in Third-Party Logistics (3PL) Spaces – with Vladimir Gofaizen of Wineshipping

This interview analysis is sponsored by NLP Logix 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.
CX Challenges Across Media Spaces – with Chloe Rice of Shutterstock and Peter Mullen of Interactions@2x (2)
Business intelligence and analytics
Consumer goods
Claim management
Retail
Customer analytics
Customer experience
Customer service
Data analysis
Predictive analytics and forecasting

CX Challenges Across eCommerce and Retail Spaces – with Chloe Rice of Shutterstock and Peter Mullen of Interactions

This article is sponsored by Interactions 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.
Short Term and Long Term ROI for AI in Finance@2x-min
Automation and robotics
Finance
Business intelligence and analytics
Financial services
Case management
Customer service
Cybersecurity
Data analysis
Fraud protection
Generative AI
Intelligence
Large Language Models
Large language models
Security

Short Term and Long Term ROI for AI in Finance – with Matthias Steinberg of MindBridge

This interview analysis is sponsored by MindBridge 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.
Bringing Trust and Guardrails into Developing Enterprise AI Systems@2x
Business intelligence and analytics
Software development
Data analysis
Technology
Data auditing
Data collection
Data management
Generative AI
Intelligence
model development
Security

Bringing Trust and Guardrails into Developing Enterprise AI Systems – with Steve Jones of Capgemini

This interview analysis is sponsored by Capgemini 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 Blue Cross Blue Shield-2x
Business intelligence and analytics
Healthcare
Customer analytics
Healthcare services
Data analysis
Data auditing
Data collection
Data integration
Data management
E-commerce
Fraud protection
Predictive analytics and forecasting
Report generation

Artificial Intelligence at Blue Cross Blue Shield

Blue Cross Blue Shield (BCBS) is a federation of 35 independent health insurance companies that provide coverage to over 100 million Americans. The organization's national headquarters is located in Chicago, Illinois, while individual BCBS companies operate in various states across the country.
The Future of Insurance Workflows with AI@2x
Business intelligence and analytics
Finance
Claim management
Insurance
Customer analytics
Customer service
Data analysis
Data auditing
Data collection
Data integration
Data management
Predictive analytics and forecasting

The Future of Insurance Workflows with AI – with George Williams of Nationwide and Heather Wilson of CLARA Analytics

This interview analysis is sponsored by CLARA Analytics 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.
Driven Approaches 
to Infrastructure
Customer analytics
Healthcare
Data analysis
Healthcare services
Generative AI
Healthcare services
model development
Pharma
Professional services

Driving Patient Experiences Through Data Science-Driven Approaches to Infrastructure – with Xiong Liu of Novartis

Explainable AI models are essential in pharmaceutical R&D because they provide transparency and understanding of how AI-driven predictions are made. In drug discovery and development, stakeholders, including researchers, regulatory bodies, and healthcare professionals, need to trust and understand AI models' outputs to make informed decisions. Without explainability, AI models can be seen as "black boxes," leading to skepticism and reluctance to adopt these technologies in critical decision-making processes. 

Data analysis

Analysis of data, also known as data analytics, is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making.