AI Articles and Analysis about Data entry

Data acquisition is the process of sampling signals that measure real world physical conditions and converting the resulting samples into digital numeric values that can be manipulated by a computer.

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.
002 – What Artificial Intelligence Means for Retail – with Asha Sharma of Instacart
Data collection
Data entry
Data integration
E-commerce
Fraud protection
Market segmentation

What Artificial Intelligence Means for Retail – with Asha Sharma of Instacart

The COVID-19 pandemic fundamentally changed how consumers shop, driving more consumers than ever to transact online with traditionally brick-and-mortar retailers. While these economic forces have affected all retail, perhaps none was more profoundly disrupted than the grocery sector.
Intelligent Automation for Enhancing RPA in Banking@2x-min
Automation and robotics
Business intelligence and analytics
Case management
Claim management
Data auditing
Data collection
Data entry
Document processing
Process automation

Intelligent Automation for Enhancing RPA in Banking – Two Use Cases

Critical to the definition of robotic process automation (RPA) is the notion that the tasks a 'robotic' software automates are repetitive by nature, with exceptions in rare instances. While RPA cannot independently learn from and adapt to new contexts and workflow problems, it can if the RPA system is imbued with the correct AI capabilities.