AWS Big Data

FEBRUARY 29, 2024

Working with large language models (LLMs) for enterprise use cases requires the implementation of quality and privacy considerations to drive responsible AI. However, enterprise data generated from siloed sources combined with the lack of a data integration strategy creates challenges for provisioning the data for generative AI applications.

Data Governance 98

Data Governance Unstructured Data Metadata Data Lake 98

AWS Big Data

MARCH 25, 2024

Large language models (LLMs) are a type of FM and are pre-trained on vast amounts of text data and typically have application uses such as text generation, intelligent chatbots, or summarization. Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets.

Data Lake 93

Data Lake Unstructured Data Management Modeling 93

CIO Business Intelligence

MARCH 28, 2024

From using large language models (LLMs) for clinical decision support, patient journey trajectories, and efficient medical documentation, to enabling physicians to build best-in-class medical chatbots, healthcare is making major strides in getting generative AI into production and showing immediate value.

Unstructured Data 93

Unstructured Data Data-driven Risk Insurance 93

IBM Big Data Hub

FEBRUARY 9, 2024

2023 saw an explosion of increasingly efficient foundation models with open licenses, beginning with the launch of Meta’s LlaMa family of large language models (LLMs) and followed by the likes of StableLM, Falcon, Mistral, and Llama 2. In time, powerful personal computers with intuitive no-code interfaces became ubiquitous.

Cost-Benefit 101

Cost-Benefit Modeling Data-driven Enterprise 101