Cloudera

JANUARY 30, 2024

As we navigate the fourth and fifth industrial revolution, AI technologies are catalyzing a paradigm shift in how products are designed, produced, and optimized. Quality: Use cases like visual inspection, yield optimization, fault detection, and classification are enhanced with AI technologies. Eliminate data silos.

Manufacturing 79

Manufacturing Contextual Data IoT Digital Transformation 79

IBM Big Data Hub

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its data analytics.

Data Science 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

Ontotext

JANUARY 11, 2023

The implications of consumer behavior for retailers range from the need to ensure relevant customer service and quick delivery to serving personalized content and managing data from disparate systems. Of course, there are various platforms and data architectures for managing customer and product data.

Contextual Data 52

Contextual Data Interactive Data-driven Marketing 52