Remove Data Analytics Remove Deep Learning Remove Internet of Things Remove Optimization
article thumbnail

Differentiating Between Data Lakes and Data Warehouses

Smart Data Collective

Many people are confused about these two, but the only similarity between them is the high-level principle of data storing. It is vital to know the difference between the two as they serve different principles and need diverse sets of eyes to be adequately optimized. Data Warehouse.

Data Lake 106
article thumbnail

Conversational AI use cases for enterprises

IBM Big Data Hub

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. It signifies a shift in human-digital interaction, offering enterprises innovative ways to engage with their audience, optimize operations, and further personalize their customer experience. billion by 2030.

article thumbnail

Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

For nearly a decade, it’s provided a venue for developers, data and ML engineers, data architects, data scientists, and others to acquire or hone skills, explore provocative ideas, and network with peers. Terms that relate to data engineering, data management, and data analytics dominate the top tiers of proposal topics.

IoT 20