AI Articles and Analysis about Data integration

Data integration involves combining data residing in different sources and providing users with a unified view of these data.

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.

Managing Model Development@2x-min
Business intelligence and analytics
Customer analytics
Data analysis
Data auditing
Data collection
Data integration
Data management
Knowledge management
Predictive analytics and forecasting
Research and development
Software development

Managing Model Development – with Katie Bakewell of NLP Logix

As a business practice, model development aims to create a dataset, tailored through machine learning, that can accurately predict outcomes or classify data based on input variables. By following a structured approach, developers can ensure that the model development process is efficient, effective, and reproducible.

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What Enterprises Can Learn from How Google Models AI Readiness@2x-min
Business intelligence and analytics
Case management
Data analysis
Data auditing
Data collection
Data integration
Data management
Enterprise resource planning
Knowledge management

What Enterprises Can Learn from How Google Models AI Readiness – with Pallab Deb of Google Cloud

It is exceptionally difficult to get started, much less succeed, in AI adoption if one does not have at least a foundational education, particularly in those “modules” pertaining to AI capabilities, requirements, and organizational readiness. A business wanting to implement AI must understand the current state of adoption and how this current state matches up against AI readiness requirements.